PhD Project: Characterisation of Sustainable High-Performance Fibre Reinforced Pervious Concrete
Abstract: This project aims to characterise the performance of sustainable high-performance fibre reinforced pervious concrete designed for sustainable development of the sponge city. The appropriate type, shape, and number of fibres, as well as the suitable cementitious matrix, will be identified to achieve an optimal balance between strength and permeability, which ensures its application under light traffic. Extensive literature review, experimental investigation, theoretical analyses, and numerical simulation will be conducted to investigate the short-term and long-term performance of the proposed pervious material. The sustainability of the proposed material will be examined based on the constitution and manufacture process. The implementation of the sustainable fibre reinforced pervious concrete will lead to positive economic and environmental impact through the realisation of low-impact development and utilisation of waste and recycled materials.
Office: EB577
Email: Jie.Li17@student.xjtlu.edu.cn
Zitong Gao
Nationality: Chinese
PhD Project: Investigation of Reinforcement Corrosion in Concrete by Microwave
Abstract: The prevalent methods for assessing reinforcement corrosion are visual inspection and electrochemical techniques. Visual inspection only permits the detection of degradation after corrosion has occurred, while electrochemical methods necessitate the exposure of the reinforcement to establish an electrical connection. In contrast, microwave non-destructive testing (MNDT) analysis for detecting corrosion does not require exposure to the reinforcement, and data measurement is relatively practical. Industry demands for structural health monitoring potentially encompass reliability, less time consumption, and addressing multiple degradation issues in a single measurement, all of which could be met by this study. Furthermore, this study is poised to innovate new solutions and feasible options for sustainable infrastructure and urban development.
Office: EB573
Email: Zitong.gao20@student.xjtlu.edu.cn
Qinfeng Zhu
Nationality: Chinese
PhD Project: Information fusion algorithms of 3D vision and laser radar
Abstract: At present, unmanned vehicles are driving in complex environments, the prerequisite of unmanned vehicles is based on the precise perception of surrounding environment. Laser radar has its own advantages such as its accuracy , but its high cost, and zero size or color information are its defective respects. The visual system has contour information, color information but lacking of its accuracy. In this dissertation, the combination of data fusion can avoid the shortcomings of each sensor, make use of their common advantages, and develop a more perfect sensor, low cost, contour information and accurate position information in order to provide a standard sensor for unmanned vehicles.
Office: EB573
Email: Qinfeng.Zhu21@student.xjtlu.edu.cn
Tao Xu
Nationality: Chinese
PhD Project: Experimental Investigation and Development of Shear Models for RC Deep Beams Focusing on Size Effects
Abstract: Reinforced Concrete (RC) deep beams are an important building structure and are often used as transfer beams in high-rise buildings. Shear failure of deep beams often occurs in a brittle and devastating manner, and the failure of deep beams in high-rise structures may have catastrophic consequences leading to partial or complete collapse of the structure. Therefore, the reliable design of deep beams is essential. Due to the complexity of the failure pattern mechanism of deep beams, there is still no widely accepted shear model so far. Moreover, the difficult point of shear behaviour, the size effect, remains unsolved. This project conducts experimental and theoretical studies on the size effect of the shear behaviour of deep beams, with the ultimate aim of developing a reliable shear model that accommodates the size effect for the optimized design of RC deep beams.
Office: EB575
Email: Tao.Xu22@student.xjtlu.edu.cn
Anil Ratna Shrestha
Nationality: Nepali
PhD Project: Characterization of Artificial Aggregates Made from Solid Waste
Abstract: Increasing solid waste from different sources has caused massive environmental and depositary problems and on the other hand the exploitative use of natural resources for the use of aggregates in concrete and other works has caused depletion of the limited resources. This research aims to use the solid waste from different source as a raw material to produce artificial aggregates minimizing the use of natural aggregates and reducing problems that arises from the deposition and environmental problem. This research also focuses on the various characterization techniques used for the characterization of the artificial aggregates. The research aims to develop artificial aggregates that has enhanced properties which can be extensively used as an alternative or to partially replace the use of Natural Aggregate.
Office: EB577
Email: A.Shrestha19@student.xjtlu.edu.cn
Xiaodong Cheng
Nationality: Chinese
PhD Project: Experimental and Numerical Research on the Structural Behaviour of Ultra – High Performance Concrete under Fire Conditions
Abstract: This research aims to investigate the structural behaviour of Ultra-High-Performance Concrete (UHPC) under high temperature or fire conditions through experiments and numerical simulations. Based on the experimental results, the factors affecting the spalling behaviour and mechanical properties of UHPC will be explored and analysed. Solutions to improve the fire behaviour of UHPC and recommendations for the practical application of UHPC will be presented and discussed. Differences in different standards will be conducted.
Office: EB577
Email: Xiaodong.Cheng23@student.xjtlu.edu.cn
Xiyang Liu
Nationality: Chinese
PhD Project: Sustainable quaternary g-C3N4-based nanocomposite for removal of aqueous organic pollutants
Abstract: The recent decades have witnessed a significant rise in the cases of global water pollution. Thus, it is crucial to develop an environmentally-friendly and cost-efficient technology to address global water pollution and enhance water security. Recently, graphitic carbon nitride (g-C3N4) has been rigorously investigated due to its huge potential to tap on the renewable solar light to achieve environmental remediation. For the first time, this research will elucidate the synthesis of a sustainable photocatalytic-magnetic quaternary nanocomposite, namely g-C3N4 coupled with and magnetite, silver bromide, and reduced graphene oxide (g-C3N4/Fe3O4/AgBr/rGO) through novel synthesis techniques. This nanocomposite will be thoroughly characterized using advanced materials characterization, and be employed to efficiently degrade various aqueous recalcitrant organic contaminants under visible-light irradiation or solar light irradiation, to achieve desirable water purification.
Office: EB577
Email: Xiyang.Liu21@xjtlu.edu.cn
Duo Xie
Nationality: Chinese
PhD Project: Investigation of Feasibility of High Volume Fly Ash Concrete made with Recycled Aggregates
Abstract: In this project, researchers aim to find a new type and environment-friendly constructional material to replace the conventional material and then high carbon emission from use of conventional constructional material included normal cement and conventional concrete could be avoided. In order to confirm the new material could be used in constructional industry for low-medium grade buildings successfully, researchers will investigate the mechanical performances and durability of this new material, high volume fly ash concrete made with recycled aggregates, and research the structure of material at micro-structure aspects. After this project, a low-carbon and low energy material will be promoted in industry.
Office: EB577
Email: Duo.Xie16@student.xjtlu.edu.cn
Xiaoxuan Peng
Nationality: Chinese
PhD Project: A lattice-Boltzmann study on the effect of porous media morphology on immiscible displacements
Abstract: The understanding of immiscible two-phase flows in porous media, i.e. fluids that displace but do not mix with each other, is of critical importance in numerous physical and industrial operations such as, enhanced oil recovery, geologic CO2 sequestration, geothermal energy extraction, groundwater supply and remediation and many others. Recent investigations have shown that apart from the physical properties of the displaced immiscible fluid phases, e.g. density and viscosity ratios, the morphological characteristics of the porous media also play a major role on the distribution and hydrodynamic behaviour of the fluid phases. The proposed computational study aims to systematically investigate the effect of porous media morphology, through a set of morphological descriptors called the Minkowski functionals, on the hydrodynamic behaviour of the fluid phases and fluid transmission capacity of porous media.
Office: EB575
Email: Xiaoxuan.Peng21@student.xjtlu.edu.cn
Rong Fu
Nationality: Chinese
PhD Project: Integrating BIM, VR/AR and RTLS Technologies to Improve the Effectiveness of Virtual Fire Drills
Abstract: The building layout design significantly impacts the fire evacuation process. Existing research focused on evaluating building layout design in terms of building circulation and investigating evacuation behavior. However, these studies have overlooked the effect of building layout design on evacuation behavior and efficiency during fire evacuation. Therefore, this paper proposed a methodology to evaluate the building floor plan and evacuation routes by integrating Graph Theory (GT) and Virtual Reality (VR) platform. GT-based method was utilized to represent building layout and evacuation routes as graphs, enabling a numerical evaluation of the efficiency of evacuation routes. A VR eye-tracking platform integrated with fire simulation data was developed to validate the GT results and investigate occupants’ wayfinding process. Data of users’ evacuation time, exit choices and visual attention allocation were collected to investigate the impact of building layout design on evacuation behavior Similarities and diversities have been found when comparing the results from GT and VR. It was found that most participants chose evacuation routes with lower cost, and they tended to make random directional choices when the surroundings were symmetrically featured. Meanwhile, the findings revealed discrepancies in GT evaluations and VR results, indicating that the surrounding features have a substantial impact on evacuation efficiency, and location of elevator may provide hints for searching staircase for exit. This study is expected to advance the understanding of how the building circulation affects occupants’ visual attention allocation and evacuation efficiency during fire emergencies, which has significant implications for building layout design.
Office: EB573
Email: Rong.Fu21@student.xjtlu.edu.cn
Ziheng Huang
Nationality: Chinese
PhD Project: Research on local scour mechanism of bridge piers under extreme flood peaks
Abstract: In marine engineering, the stability of sizeable vertical pile foundations is crucial for the safety of marine structures. Designing safe offshore structures entails addressing a series of dynamic seafloor responses caused by waves scouring pile foundations. Regarding numerical simulation, recent research has focused on building wave-structure-seabed models. The WSSI model is developed based on OpenFOAM software, which consists of a wave model (Wave2Foam) and Biot’s poroelastic model. Previous work only considered the impact of wave scouring on the cylinder but ignored the role of currents. Therefore, this article will develop further on the WSSI model and construct a wave-current-structure-seabed model to study the migration in the riverbed caused by the simultaneous action of waves and currents. Furthermore, the model will be used to explore the seabed response around single-pile foundations and multi-pile foundations.
Office: EB575
Email: Ziheng.Huang21@student.xjtlu.edu.cn
Dhanushka Kobbekaduwa
Nationality: Sri Lankan
PhD Project: Repair and strengthening of corroded RC columns using organic corrosion inhibitors and Textile Reinforced Mortar (TRM)
Abstract: The need for upgrading Reinforced Concrete (RC) structures, especially for those having high importance to society, has increased significantly due to public safety and maintenance cost issues. The use of Textile Reinforced Mortars (TRM) to retrofit, RC elements have emerged as a promising alternative to the use of Fibre Reinforced Polymers (FRP), mainly because of TRM’s improved performance at elevated or low temperatures, on wet surfaces, at aggressive environments, but most importantly their sustainability. At the same time, organic corrosion inhibitors such as small-molecule-based alcohol amine series are becoming the focus of attention due to their environmental-friendly behaviour. This study investigates the repairing and/or strengthening of small and large-scale concrete columns suffering from corrosion problems with the use of different types of corrosion inhibitor incorporated patch repair mortars and TRM.
Office: EB575
Email: D.Kobbekaduwa19@student.xjtlu.edu.cn
Yi Yang
Nationality: Chinese
PhD Project: Research on the operational mechanism of online construction waste trading platform
Abstract: The vast amounts of construction and demolition waste (CDW) generated by the construction industry have become a major factor affecting the ecological environment. Researchers have explored CDW management from various perspectives and aspects, with CDW trading being a crucial intervention. However, traditional CDW trading markets face many barriers. Platform trading, as a novel economic and industrial paradigm, can facilitate the resource recovery of CDW. Yet, existing research is limited to theoretical and technical levels. Therefore, this study constructs an operational mechanism for a CDW online trading platform based on multilateral platform theory and circular economy principles. System dynamics are used to simulate case studies and assess economic and social benefits. The research paves new pathways and markets for the recycling and resource recovery of CDW.
Office: EB577
Email: Yi.Yang2203@student.xjtlu.edu.cn
Ying Lo
Nationality: Malaysian
PhD Project: Improving Automation in Construction Inspection by Integrating Dynamic Environmental Perception and 3D Reconstruction
Abstract: Construction inspection plays a vital role in ensuring quality, safety, and progress in construction projects. Accurate assessment of the conditions in construction site allows managers to perform timely corrective action to prevent delays and cost overruns. Current practices of construction inspection are still mainly manual, time consuming and error prone. Recently, automation and robotics technology has demonstrated the potential to serve the construction industry, including shorter construction time, safer workspace, and improved quality control. To improve the overall efficiency and accuracy, implementing automation in construction inspection faces challenges due to the dynamic and complex nature of construction sites. It is indeed challenging to fulfil the requirements of automation considering the tremendous information needs to capture and the intensive interaction between crew and equipment. Therefore, a well perceived site environment together with a well-designed decision-making support is essential for improving the level of automation in construction inspection.
Office: EB573
Email: y.lo18@student.xjtlu.edu.cn
Jialu Tang
Nationality: Chinese
PhD Project: Manufacturing Simulation and Application of Carbon Fibre Reinforced Composite Cable
Abstract: Carbon Fibre Reinforced Polymer (CFRP) is a popular building material due to its good mechanical properties and excellent corrosion resistance performance, but its anchoring ability is still a challenge which needs more research. There are four common types of anchorage systems, including the bonded-type anchorage system, mechanical-type anchorage system, composite-type anchorage system and self-anchored system. The self-anchored system has wide application potential due to its low self-weight. However, the present self-anchored system can’t achieve a 100% bearing capacity due to the high stress around the metal ring. This project will make research on improving the bearing capacity of the CFRP cable with a self-anchored system.
Office: EB577
Email: Jialu.Tang22@student.xjtlu.edu.cn
Qinzheng Teng
Nationality: Chinese
PhD Project: Study on the effect of partially multi-layered vegetation on open-channel flows
Abstract: Mixed vegetation of different heights widely exists in many natural rivers. Due to the complexity of flow and vegetation interaction, there is a poor understanding of how such vegetation affects flow structure of channels. Understanding the influence of vegetation on flow is of great practical significance for river design and water ecological restoration. This proposal will conduct an in-depth study on flow characteristics of open-channel flows with multi-layered vegetation by various comparative experiments and analytical methods to establish a method for predicting flow velocity, resistance and channel capacity, along with the understanding of turbulence of vegetated flow.
Office: EB575
Email: Qinzheng.Teng23@student.xjtlu.edu.cn
Xierong Gu
Nationality: Chinese
PhD Project: Prediction of carbon emissions associated with the buildings using data-driven methods
Abstract: Since the construction industry accounts for 40% of total carbon emissions, China will have to manage energy consumption and the associated carbon to achieve carbon neutrality by 2060. In the construction industry, buildings are valued because of their benefits in energy saving and environmental protection. However, carbon emission research is in its infancy, and the calculation process of building carbon emission is complicated, there are still a lack of difference stages effective means of predicting carbon emissions of buildings, which forms the focus of this research. The research plans to adopt data-driven methods to explore more simple and effective prediction of carbon emissions. Its results are expected to have a positive impact on China’s efforts to achieve carbon neutrality.
Office: EB575
Email: Xierong.Gu21@student.xjtlu.edu.cn
Ran Zang
Nationality: Chinese
PhD Project: Fatigue Life Behaviour and Mechanical Properties of Concrete Incorporating Recycled Tyre Rubber Materials
Abstract: Rubber is broadly applied in today’s society and automotive tire tread is a typical product. After the tire reaches its service life, the worn-out tire will be discarded, resulting in a large amount of “black pollution”. This study aims to investigate the mechanical properties of rubberised concrete (RC) to get a further understanding of the effect of the addition of rubber particles on concrete. There is a huge demand for concrete in the world that will correspondingly consume large amount of discard tires as rubberised concrete could be widely applied in construction. This research has discussed the probability distribution of fatigue life of RC and the constitutive curve under triaxial loading. To capture the evolution law of fatigue life under different failure probability levels, representative Weibull distribution of describing the failure probability is established, which considered the various stress ratio and rubber content. Subsequent research will continue on mechanical properties of RC under multi-axis load, to analyse the performance of RC.
Abstract: Remote sensing is a comprehensive detection technology that emerged in the 1960s. Traditionally, it refers to the collection of electromagnetic wave information radiated and reflected from artificial satellites, aircraft or other flying machines to identify the Earth’s environment and resources. With the rapid development of earth observation satellites, remote sensing images have been widely used in many aspects, such as the land cover classification, environmental monitoring and urban road extraction. However, due to the limitation of physical conditions, remote sensing images with both high spectral and high spatial resolution cannot be directly obtained. So, image fusion is very important to get images with both high spatial and high spectral resolution.
Office: EB573
Email: Yuan.Fang16@student.xjtlu.edu.cn
Wen Cheng
Nationality: Chinese
PhD Project: Structural performance of high-strength aluminium alloy members
Abstract: The construction industry has been increasingly using aluminium alloys as a construction material due to their advantageous features such as exceptional corrosion resistance, and appealing appearance. Despite these benefits, the conventional structural aluminium alloys have relatively lower material strength compared to structural steels. This impedes the wider application of aluminium alloy structural members. With the advances in manufacturing techniques, high-strength aluminium alloy product has been developed recently, the material strength of which is more than twice the strength of the conventional structural aluminium alloys. However, the structural performance of high-strength aluminium alloy members has not been verified. This project aims to fill this research gap by conducting experimental and numerical investigations on the structural performance of high-strength aluminium alloy members.
Office: EB575
Email: Wen.Cheng23@student.xjtlu.edu.cn
Lin Zheng
Nationality: Chinese
PhD Project: Data-driven Energy Management for Smart Retrofitting in Existing Housing Stock
Abstract: Buildings, as significant contributors to carbon emissions, hold immense potential for analyzing the existing energy management system and implementing low-carbon strategies in their design, construction, operation, and maintenance. The objective of this project is to pioneer innovative smart retrofitting solutions geared towards the existing housing infrastructure, thereby reducing building carbon footprints and enhancing energy efficiency. This project would signify a significant step towards low-carbon building renovation and substantial energy conservation, contributing to a more sustainable building decarbonization and mitigating the impact of climate change.
Office: EB575
Email: Lin.Zheng13@student.xjtlu.edu.cn
Caimiao Zheng
Nationality: Chinese
PhD Project: Enhancing Renovation Workers’ Awareness of Emission Reduction and Environmental Protection Behavior
Abstract: This research project aims to investigate the influencing factors that impact the awareness of emission reduction and environmental protection behavior among renovation workers. The study will identify the key barriers and facilitators that influence their behavior, and suggest effective strategies to enhance their awareness and engagement in sustainable practices.
Office: EB575
Email: Caimiao.zheng21@student.xjtlu.edu.cn
Tianzhen Li
Nationality: Chinese
PhD Project: Permeable pavement as a sustainable method for urban flooding and pollution management system in Wujiang, China
Abstract: Rapid urbanization in the last decades and the consequent increase in impervious surfaces have become one of the major contributors to urban flooding, which has negatively altered the urban water cycle. The increased runoff can cause water quality problems since the runoff washes off accumulated pollution deposited on urban surfaces. By letting runoff passing through the pavement, the pavement reduces runoff volume and can improve water quality, which is in line with sustainable urban drainage system targets. In this proposal, different types of pervious pavements will be developed experimentally to provide a solution for reducing urban flooding. The results of the study will be used in the urban planning and management of Wujiang, China.
Office: EB575
Email: Tianzhen.Li18@student.xjtlu.edu.cn
Kuangye Zhang
Nationality: Chinese
PhD Project: Study of the Multiaxial Constitutive Model of Rubberised concrete Based on Plasti-Damage Theory
Abstract: Concrete materials incorporating recycled tyre rubber particles as replacement of mineral aggregates, namely `rubberised concrete’, possess the merits of low self-weight, high ductility and high energy-dissipation ability. Available studies on the constitutive model of rubberised concrete focus on the uniaxial compressive behaviour, whereas the influence of rubber particles on the plastic deformation and multi-axial properties of rubberised concrete is still unclear. This project, aims at proposing the multiaxial plastic-damage constitutive model of rubberised concrete. The main challenges of the project will focus on the quantitative relationship between rubber contents and the plastic damage factor of rubberised concrete under uniaxial cyclic loads, as well as studies of the biaxial and triaxial properties of the material. The outcomes of the project will enable the future application of rubberised concrete as construction material, while also provide design guidelines.
Office: EB577
Email: Kuangye.Zhang21@student.xjtlu.edu.cn
Xinyu Tong
Nationality: Chinese
PhD Project: Semantic Enrichment of Heritage Building Information Modelling (H-BIM) with Multiple Advanced Technologies
Abstract: Heritage building information modelling (H-BIM) integrates multiple semantic information of built heritages, such as the geometry, material, component type, defect status, etc., which improves the management of the protection, restoration and dissemination process. However, due to the unique and complex geometry and the unavailability of preserved documents of built heritages, the reconstruction of an H-BIM model containing comprehensive useful information is challenging. The project focuses on solving the technical difficulties in the 3D reconstruction process of built heritages, including component identification from point clouds, parametric modelling based on ancient design principles, automatic defects inspection, etc.
PhD Project: Research on deformation monitoring along Metro Line Based on Beidou super CORS
Abstract: According to the urgent demand for high-precision positioning in the construction, operation and maintenance of super urban rail transit, the project plans to establish a global series of positioning systems for super Urban Rail Transit under the unified space-time benchmark. The system is based on Beidou technology to build a super CORS network covering rail transit lines, realizing real-time and high-precision monitoring of the settlement and deformation of the main infrastructure along the rail transit, and establish a unified aboveground and underground space-time benchmark based on Beidou + pseudosatellite. The system will comprehensively enhance the operation safety of rail transit.
Office: EB573
Email: Ningxin.Weng15@student.xjtlu.edu.cn
Tianqi Liu
Nationality: Chinese
PhD Project: Photocatalytic-magnetic g-C3N4 quinary nanocomposite for efficient removal of aqueous organic pollutants
Abstract: In recent years, due to rapid industrialization and increasing human population, aqueous environmental pollution has been getting more serious than ever. Thus, there is an urgent need to develop an environmentally-friendly and efficient technology to address global water pollution. Recently, the work on graphitic carbon nitride (g-C3N4) has been gaining unprecedented attention due to its huge potential to harness the renewable solar light for efficient environmental remediation. For the first time, this research will elucidate the synthesis of a sustainable photocatalytic-magnetic quinary nanocomposite, namely magnetite coupled with silver bromide, silver chloride, silver iodide and g-C3N4 (Fe3O4/AgBr/AgCl/AgI/g-C3N4) through novel synthesis protocols. This nanocomposite will be thoroughly characterized using advanced materials characterization, and be employed to efficiently degrade various aqueous recalcitrant and toxic organic contaminants under visible-light irradiation.
Office: EB541
Email: Tianqi.liu19@student.xjtlu.edu.cn
Dada, Temitope Emmanuel
Nationality: Nigerian
PhD Project: Experimental and numerical investigations of the compressive behaviours of waste-containing FRP-confined concrete columns
Abstract: Despite the numerous sustainability benefits, the use of waste in concrete has been a significant challenge, considering its effect on the mechanical properties. In particular, structural concrete elements containing recycled aggregates (RA) and certain supplementary cementitious material (SCM) often exhibit inferior properties to those with natural aggregates when used above the stipulated limits. Strengthening with fibre-reinforced polymer (FRP) is one way to overcome this challenge. Aside strength reduction, the behaviour of concrete containing RA is much more heterogenous compared to those with NA; from the non-uniformity of the hoop strain when confined with FRP to the uncertainty in its transition zones between the mortars and original NA, the mechanism of confinement is very complex. This project studies these complex mechanisms via experimental, numerical, and machine-learning approaches. Attempts have been made to quantify the ultimate conditions of the stress-strain responses under different loading conditions. Novel methodologies, models, and tools are also being developed to predict the stress-strain behaviours of wastes containing FRP-confined concrete. These are all geared toward meeting the eleventh sustainable development goal (SDG) – sustainable cities and communities.
Office: EB575
Email: T.Dada19@student.xtjlu.edu.cn
Lang Liu
Nationality: Chinese
PhD Project: On the Effect of Solute Atoms on Twin Boundary Migration in Magnesium Alloys
Abstract: The impeding effects of interfacial segregation on magnesium twin boundary mobility were chosen to be the subject of this study. Flat twin boundary migration and the solute effects on its mobility have been studied using molecular dynamics simulation. More generally, twin boundaries with their misorientation angles deviating from ideal values have been studied via dislocation analysis. Finally, energetics calculation is adopted in studying the impeding effects of solute segregation on twin boundaries. The conclusions from this study shed light on enhancement of the strength of magnesium alloys.
Office: Room 1104, Key Laboratory for Light-weight Materials, Nanjing
Email: Lang.Liu21@student.xjtlu.edu.cn
Yuxiang Ji
Nationality: Chinese
PhD Project: Machine learning-based intelligent decision making & evaluation for additive manufacturing repair for underwater structures
Abstract: This project explores the impact of laser parameters on the transient temperature field and subsequent microstructure evolution during the laser additive manufacturing (LAM) repair of high-strength alloys. Utilizing a dual ellipsoidal heat source model integrated with machine learning prediction techniques in Abaqus, the project simulates and optimizes the temperature distribution and microstructure formation processes. By combining cellular automata algorithms with multi-fidelity models, this project precisely simulates microstructural evolution using experimental data acquired from infrared imaging. Furthermore, this project developed a predictive system that estimates material mechanical properties by analyzing the predicted microstructure morphology in conjunction with known performance data of similar materials using machine learning methods. This system not only enhances research efficiency but also reduces experimental costs. The results demonstrate high consistency between model predictions and actual experimental outcomes, validating the effectiveness of the methods and suggesting potential applications in similar processes for other manufacturing techniques. This project provides a powerful tool for predicting and optimizing microstructure and properties in additive manufacturing by controlling process parameters, significantly enhancing predictive capabilities and operational efficiency in laser additive manufacturing.
Jie Li
PhD Project: Characterisation of Sustainable High-Performance Fibre Reinforced Pervious Concrete
Abstract: This project aims to characterise the performance of sustainable high-performance fibre reinforced pervious concrete designed for sustainable development of the sponge city. The appropriate type, shape, and number of fibres, as well as the suitable cementitious matrix, will be identified to achieve an optimal balance between strength and permeability, which ensures its application under light traffic. Extensive literature review, experimental investigation, theoretical analyses, and numerical simulation will be conducted to investigate the short-term and long-term performance of the proposed pervious material. The sustainability of the proposed material will be examined based on the constitution and manufacture process. The implementation of the sustainable fibre reinforced pervious concrete will lead to positive economic and environmental impact through the realisation of low-impact development and utilisation of waste and recycled materials.
Office: EB577
Email: Jie.Li17@student.xjtlu.edu.cn
Zitong Gao
PhD Project: Investigation of Reinforcement Corrosion in Concrete by Microwave
Abstract: The prevalent methods for assessing reinforcement corrosion are visual inspection and electrochemical techniques. Visual inspection only permits the detection of degradation after corrosion has occurred, while electrochemical methods necessitate the exposure of the reinforcement to establish an electrical connection. In contrast, microwave non-destructive testing (MNDT) analysis for detecting corrosion does not require exposure to the reinforcement, and data measurement is relatively practical. Industry demands for structural health monitoring potentially encompass reliability, less time consumption, and addressing multiple degradation issues in a single measurement, all of which could be met by this study. Furthermore, this study is poised to innovate new solutions and feasible options for sustainable infrastructure and urban development.
Office: EB573
Email: Zitong.gao20@student.xjtlu.edu.cn
Qinfeng Zhu
PhD Project: Information fusion algorithms of 3D vision and laser radar
Abstract: At present, unmanned vehicles are driving in complex environments, the prerequisite of unmanned vehicles is based on the precise perception of surrounding environment. Laser radar has its own advantages such as its accuracy , but its high cost, and zero size or color information are its defective respects. The visual system has contour information, color information but lacking of its accuracy. In this dissertation, the combination of data fusion can avoid the shortcomings of each sensor, make use of their common advantages, and develop a more perfect sensor, low cost, contour information and accurate position information in order to provide a standard sensor for unmanned vehicles.
Office: EB573
Email: Qinfeng.Zhu21@student.xjtlu.edu.cn
Tao Xu
PhD Project: Experimental Investigation and Development of Shear Models for RC Deep Beams Focusing on Size Effects
Abstract: Reinforced Concrete (RC) deep beams are an important building structure and are often used as transfer beams in high-rise buildings. Shear failure of deep beams often occurs in a brittle and devastating manner, and the failure of deep beams in high-rise structures may have catastrophic consequences leading to partial or complete collapse of the structure. Therefore, the reliable design of deep beams is essential. Due to the complexity of the failure pattern mechanism of deep beams, there is still no widely accepted shear model so far. Moreover, the difficult point of shear behaviour, the size effect, remains unsolved. This project conducts experimental and theoretical studies on the size effect of the shear behaviour of deep beams, with the ultimate aim of developing a reliable shear model that accommodates the size effect for the optimized design of RC deep beams.
Office: EB575
Email: Tao.Xu22@student.xjtlu.edu.cn
Anil Ratna Shrestha
PhD Project: Characterization of Artificial Aggregates Made from Solid Waste
Abstract: Increasing solid waste from different sources has caused massive environmental and depositary problems and on the other hand the exploitative use of natural resources for the use of aggregates in concrete and other works has caused depletion of the limited resources. This research aims to use the solid waste from different source as a raw material to produce artificial aggregates minimizing the use of natural aggregates and reducing problems that arises from the deposition and environmental problem. This research also focuses on the various characterization techniques used for the characterization of the artificial aggregates. The research aims to develop artificial aggregates that has enhanced properties which can be extensively used as an alternative or to partially replace the use of Natural Aggregate.
Office: EB577
Email: A.Shrestha19@student.xjtlu.edu.cn
Xiaodong Cheng
PhD Project: Experimental and Numerical Research on the Structural Behaviour of Ultra – High Performance Concrete under Fire Conditions
Abstract: This research aims to investigate the structural behaviour of Ultra-High-Performance Concrete (UHPC) under high temperature or fire conditions through experiments and numerical simulations. Based on the experimental results, the factors affecting the spalling behaviour and mechanical properties of UHPC will be explored and analysed. Solutions to improve the fire behaviour of UHPC and recommendations for the practical application of UHPC will be presented and discussed. Differences in different standards will be conducted.
Office: EB577
Email: Xiaodong.Cheng23@student.xjtlu.edu.cn
Xiyang Liu
PhD Project: Sustainable quaternary g-C3N4-based nanocomposite for removal of aqueous organic pollutants
Abstract: The recent decades have witnessed a significant rise in the cases of global water pollution. Thus, it is crucial to develop an environmentally-friendly and cost-efficient technology to address global water pollution and enhance water security. Recently, graphitic carbon nitride (g-C3N4) has been rigorously investigated due to its huge potential to tap on the renewable solar light to achieve environmental remediation. For the first time, this research will elucidate the synthesis of a sustainable photocatalytic-magnetic quaternary nanocomposite, namely g-C3N4 coupled with and magnetite, silver bromide, and reduced graphene oxide (g-C3N4/Fe3O4/AgBr/rGO) through novel synthesis techniques. This nanocomposite will be thoroughly characterized using advanced materials characterization, and be employed to efficiently degrade various aqueous recalcitrant organic contaminants under visible-light irradiation or solar light irradiation, to achieve desirable water purification.
Office: EB577
Email: Xiyang.Liu21@xjtlu.edu.cn
Duo Xie
PhD Project: Investigation of Feasibility of High Volume Fly Ash Concrete made with Recycled Aggregates
Abstract: In this project, researchers aim to find a new type and environment-friendly constructional material to replace the conventional material and then high carbon emission from use of conventional constructional material included normal cement and conventional concrete could be avoided. In order to confirm the new material could be used in constructional industry for low-medium grade buildings successfully, researchers will investigate the mechanical performances and durability of this new material, high volume fly ash concrete made with recycled aggregates, and research the structure of material at micro-structure aspects. After this project, a low-carbon and low energy material will be promoted in industry.
Office: EB577
Email: Duo.Xie16@student.xjtlu.edu.cn
Xiaoxuan Peng
PhD Project: A lattice-Boltzmann study on the effect of porous media morphology on immiscible displacements
Abstract: The understanding of immiscible two-phase flows in porous media, i.e. fluids that displace but do not mix with each other, is of critical importance in numerous physical and industrial operations such as, enhanced oil recovery, geologic CO2 sequestration, geothermal energy extraction, groundwater supply and remediation and many others. Recent investigations have shown that apart from the physical properties of the displaced immiscible fluid phases, e.g. density and viscosity ratios, the morphological characteristics of the porous media also play a major role on the distribution and hydrodynamic behaviour of the fluid phases. The proposed computational study aims to systematically investigate the effect of porous media morphology, through a set of morphological descriptors called the Minkowski functionals, on the hydrodynamic behaviour of the fluid phases and fluid transmission capacity of porous media.
Office: EB575
Email: Xiaoxuan.Peng21@student.xjtlu.edu.cn
Rong Fu
PhD Project: Integrating BIM, VR/AR and RTLS Technologies to Improve the Effectiveness of Virtual Fire Drills
Abstract: The building layout design significantly impacts the fire evacuation process. Existing research focused on evaluating building layout design in terms of building circulation and investigating evacuation behavior. However, these studies have overlooked the effect of building layout design on evacuation behavior and efficiency during fire evacuation. Therefore, this paper proposed a methodology to evaluate the building floor plan and evacuation routes by integrating Graph Theory (GT) and Virtual Reality (VR) platform. GT-based method was utilized to represent building layout and evacuation routes as graphs, enabling a numerical evaluation of the efficiency of evacuation routes. A VR eye-tracking platform integrated with fire simulation data was developed to validate the GT results and investigate occupants’ wayfinding process. Data of users’ evacuation time, exit choices and visual attention allocation were collected to investigate the impact of building layout design on evacuation behavior Similarities and diversities have been found when comparing the results from GT and VR. It was found that most participants chose evacuation routes with lower cost, and they tended to make random directional choices when the surroundings were symmetrically featured. Meanwhile, the findings revealed discrepancies in GT evaluations and VR results, indicating that the surrounding features have a substantial impact on evacuation efficiency, and location of elevator may provide hints for searching staircase for exit. This study is expected to advance the understanding of how the building circulation affects occupants’ visual attention allocation and evacuation efficiency during fire emergencies, which has significant implications for building layout design.
Office: EB573
Email: Rong.Fu21@student.xjtlu.edu.cn
Ziheng Huang
PhD Project: Research on local scour mechanism of bridge piers under extreme flood peaks
Abstract: In marine engineering, the stability of sizeable vertical pile foundations is crucial for the safety of marine structures. Designing safe offshore structures entails addressing a series of dynamic seafloor responses caused by waves scouring pile foundations. Regarding numerical simulation, recent research has focused on building wave-structure-seabed models. The WSSI model is developed based on OpenFOAM software, which consists of a wave model (Wave2Foam) and Biot’s poroelastic model. Previous work only considered the impact of wave scouring on the cylinder but ignored the role of currents. Therefore, this article will develop further on the WSSI model and construct a wave-current-structure-seabed model to study the migration in the riverbed caused by the simultaneous action of waves and currents. Furthermore, the model will be used to explore the seabed response around single-pile foundations and multi-pile foundations.
Office: EB575
Email: Ziheng.Huang21@student.xjtlu.edu.cn
Dhanushka Kobbekaduwa
PhD Project: Repair and strengthening of corroded RC columns using organic corrosion inhibitors and Textile Reinforced Mortar (TRM)
Abstract: The need for upgrading Reinforced Concrete (RC) structures, especially for those having high importance to society, has increased significantly due to public safety and maintenance cost issues. The use of Textile Reinforced Mortars (TRM) to retrofit, RC elements have emerged as a promising alternative to the use of Fibre Reinforced Polymers (FRP), mainly because of TRM’s improved performance at elevated or low temperatures, on wet surfaces, at aggressive environments, but most importantly their sustainability. At the same time, organic corrosion inhibitors such as small-molecule-based alcohol amine series are becoming the focus of attention due to their environmental-friendly behaviour. This study investigates the repairing and/or strengthening of small and large-scale concrete columns suffering from corrosion problems with the use of different types of corrosion inhibitor incorporated patch repair mortars and TRM.
Office: EB575
Email: D.Kobbekaduwa19@student.xjtlu.edu.cn
Yi Yang
PhD Project: Research on the operational mechanism of online construction waste trading platform
Abstract: The vast amounts of construction and demolition waste (CDW) generated by the construction industry have become a major factor affecting the ecological environment. Researchers have explored CDW management from various perspectives and aspects, with CDW trading being a crucial intervention. However, traditional CDW trading markets face many barriers. Platform trading, as a novel economic and industrial paradigm, can facilitate the resource recovery of CDW. Yet, existing research is limited to theoretical and technical levels. Therefore, this study constructs an operational mechanism for a CDW online trading platform based on multilateral platform theory and circular economy principles. System dynamics are used to simulate case studies and assess economic and social benefits. The research paves new pathways and markets for the recycling and resource recovery of CDW.
Office: EB577
Email: Yi.Yang2203@student.xjtlu.edu.cn
Ying Lo
PhD Project: Improving Automation in Construction Inspection by Integrating Dynamic Environmental Perception and 3D Reconstruction
Abstract: Construction inspection plays a vital role in ensuring quality, safety, and progress in construction projects. Accurate assessment of the conditions in construction site allows managers to perform timely corrective action to prevent delays and cost overruns. Current practices of construction inspection are still mainly manual, time consuming and error prone. Recently, automation and robotics technology has demonstrated the potential to serve the construction industry, including shorter construction time, safer workspace, and improved quality control. To improve the overall efficiency and accuracy, implementing automation in construction inspection faces challenges due to the dynamic and complex nature of construction sites. It is indeed challenging to fulfil the requirements of automation considering the tremendous information needs to capture and the intensive interaction between crew and equipment. Therefore, a well perceived site environment together with a well-designed decision-making support is essential for improving the level of automation in construction inspection.
Office: EB573
Email: y.lo18@student.xjtlu.edu.cn
Jialu Tang
PhD Project: Manufacturing Simulation and Application of Carbon Fibre Reinforced Composite Cable
Abstract: Carbon Fibre Reinforced Polymer (CFRP) is a popular building material due to its good mechanical properties and excellent corrosion resistance performance, but its anchoring ability is still a challenge which needs more research. There are four common types of anchorage systems, including the bonded-type anchorage system, mechanical-type anchorage system, composite-type anchorage system and self-anchored system. The self-anchored system has wide application potential due to its low self-weight. However, the present self-anchored system can’t achieve a 100% bearing capacity due to the high stress around the metal ring. This project will make research on improving the bearing capacity of the CFRP cable with a self-anchored system.
Office: EB577
Email: Jialu.Tang22@student.xjtlu.edu.cn
Qinzheng Teng
PhD Project: Study on the effect of partially multi-layered vegetation on open-channel flows
Abstract: Mixed vegetation of different heights widely exists in many natural rivers. Due to the complexity of flow and vegetation interaction, there is a poor understanding of how such vegetation affects flow structure of channels. Understanding the influence of vegetation on flow is of great practical significance for river design and water ecological restoration. This proposal will conduct an in-depth study on flow characteristics of open-channel flows with multi-layered vegetation by various comparative experiments and analytical methods to establish a method for predicting flow velocity, resistance and channel capacity, along with the understanding of turbulence of vegetated flow.
Office: EB575
Email: Qinzheng.Teng23@student.xjtlu.edu.cn
Xierong Gu
PhD Project: Prediction of carbon emissions associated with the buildings using data-driven methods
Abstract: Since the construction industry accounts for 40% of total carbon emissions, China will have to manage energy consumption and the associated carbon to achieve carbon neutrality by 2060. In the construction industry, buildings are valued because of their benefits in energy saving and environmental protection. However, carbon emission research is in its infancy, and the calculation process of building carbon emission is complicated, there are still a lack of difference stages effective means of predicting carbon emissions of buildings, which forms the focus of this research. The research plans to adopt data-driven methods to explore more simple and effective prediction of carbon emissions. Its results are expected to have a positive impact on China’s efforts to achieve carbon neutrality.
Office: EB575
Email: Xierong.Gu21@student.xjtlu.edu.cn
Ran Zang
PhD Project: Fatigue Life Behaviour and Mechanical Properties of Concrete Incorporating Recycled Tyre Rubber Materials
Abstract: Rubber is broadly applied in today’s society and automotive tire tread is a typical product. After the tire reaches its service life, the worn-out tire will be discarded, resulting in a large amount of “black pollution”. This study aims to investigate the mechanical properties of rubberised concrete (RC) to get a further understanding of the effect of the addition of rubber particles on concrete. There is a huge demand for concrete in the world that will correspondingly consume large amount of discard tires as rubberised concrete could be widely applied in construction. This research has discussed the probability distribution of fatigue life of RC and the constitutive curve under triaxial loading. To capture the evolution law of fatigue life under different failure probability levels, representative Weibull distribution of describing the failure probability is established, which considered the various stress ratio and rubber content. Subsequent research will continue on mechanical properties of RC under multi-axis load, to analyse the performance of RC.
Office: EB577
Email: Ran.Zang17@student.xjtlu.edu.cn
Yuan Fang
PhD Project: Multi-source remote sensing image fusion
Abstract: Remote sensing is a comprehensive detection technology that emerged in the 1960s. Traditionally, it refers to the collection of electromagnetic wave information radiated and reflected from artificial satellites, aircraft or other flying machines to identify the Earth’s environment and resources. With the rapid development of earth observation satellites, remote sensing images have been widely used in many aspects, such as the land cover classification, environmental monitoring and urban road extraction. However, due to the limitation of physical conditions, remote sensing images with both high spectral and high spatial resolution cannot be directly obtained. So, image fusion is very important to get images with both high spatial and high spectral resolution.
Office: EB573
Email: Yuan.Fang16@student.xjtlu.edu.cn
Wen Cheng
PhD Project: Structural performance of high-strength aluminium alloy members
Abstract: The construction industry has been increasingly using aluminium alloys as a construction material due to their advantageous features such as exceptional corrosion resistance, and appealing appearance. Despite these benefits, the conventional structural aluminium alloys have relatively lower material strength compared to structural steels. This impedes the wider application of aluminium alloy structural members. With the advances in manufacturing techniques, high-strength aluminium alloy product has been developed recently, the material strength of which is more than twice the strength of the conventional structural aluminium alloys. However, the structural performance of high-strength aluminium alloy members has not been verified. This project aims to fill this research gap by conducting experimental and numerical investigations on the structural performance of high-strength aluminium alloy members.
Office: EB575
Email: Wen.Cheng23@student.xjtlu.edu.cn
Lin Zheng
PhD Project: Data-driven Energy Management for Smart Retrofitting in Existing Housing Stock
Abstract: Buildings, as significant contributors to carbon emissions, hold immense potential for analyzing the existing energy management system and implementing low-carbon strategies in their design, construction, operation, and maintenance. The objective of this project is to pioneer innovative smart retrofitting solutions geared towards the existing housing infrastructure, thereby reducing building carbon footprints and enhancing energy efficiency. This project would signify a significant step towards low-carbon building renovation and substantial energy conservation, contributing to a more sustainable building decarbonization and mitigating the impact of climate change.
Office: EB575
Email: Lin.Zheng13@student.xjtlu.edu.cn
Caimiao Zheng
PhD Project: Enhancing Renovation Workers’ Awareness of Emission Reduction and Environmental Protection Behavior
Abstract: This research project aims to investigate the influencing factors that impact the awareness of emission reduction and environmental protection behavior among renovation workers. The study will identify the key barriers and facilitators that influence their behavior, and suggest effective strategies to enhance their awareness and engagement in sustainable practices.
Office: EB575
Email: Caimiao.zheng21@student.xjtlu.edu.cn
Tianzhen Li
PhD Project: Permeable pavement as a sustainable method for urban flooding and pollution management system in Wujiang, China
Abstract: Rapid urbanization in the last decades and the consequent increase in impervious surfaces have become one of the major contributors to urban flooding, which has negatively altered the urban water cycle. The increased runoff can cause water quality problems since the runoff washes off accumulated pollution deposited on urban surfaces. By letting runoff passing through the pavement, the pavement reduces runoff volume and can improve water quality, which is in line with sustainable urban drainage system targets. In this proposal, different types of pervious pavements will be developed experimentally to provide a solution for reducing urban flooding. The results of the study will be used in the urban planning and management of Wujiang, China.
Office: EB575
Email: Tianzhen.Li18@student.xjtlu.edu.cn
Kuangye Zhang
PhD Project: Study of the Multiaxial Constitutive Model of Rubberised concrete Based on Plasti-Damage Theory
Abstract: Concrete materials incorporating recycled tyre rubber particles as replacement of mineral aggregates, namely `rubberised concrete’, possess the merits of low self-weight, high ductility and high energy-dissipation ability. Available studies on the constitutive model of rubberised concrete focus on the uniaxial compressive behaviour, whereas the influence of rubber particles on the plastic deformation and multi-axial properties of rubberised concrete is still unclear. This project, aims at proposing the multiaxial plastic-damage constitutive model of rubberised concrete. The main challenges of the project will focus on the quantitative relationship between rubber contents and the plastic damage factor of rubberised concrete under uniaxial cyclic loads, as well as studies of the biaxial and triaxial properties of the material. The outcomes of the project will enable the future application of rubberised concrete as construction material, while also provide design guidelines.
Office: EB577
Email: Kuangye.Zhang21@student.xjtlu.edu.cn
Xinyu Tong
PhD Project: Semantic Enrichment of Heritage Building Information Modelling (H-BIM) with Multiple Advanced Technologies
Abstract: Heritage building information modelling (H-BIM) integrates multiple semantic information of built heritages, such as the geometry, material, component type, defect status, etc., which improves the management of the protection, restoration and dissemination process. However, due to the unique and complex geometry and the unavailability of preserved documents of built heritages, the reconstruction of an H-BIM model containing comprehensive useful information is challenging. The project focuses on solving the technical difficulties in the 3D reconstruction process of built heritages, including component identification from point clouds, parametric modelling based on ancient design principles, automatic defects inspection, etc.
Office: EB573
Email: Xinyu.Tong22@student.xjtlu.edu.cn ; Xinyu.Tong@liverpool.ac.uk
Ningxin Weng
PhD Project: Research on deformation monitoring along Metro Line Based on Beidou super CORS
Abstract: According to the urgent demand for high-precision positioning in the construction, operation and maintenance of super urban rail transit, the project plans to establish a global series of positioning systems for super Urban Rail Transit under the unified space-time benchmark. The system is based on Beidou technology to build a super CORS network covering rail transit lines, realizing real-time and high-precision monitoring of the settlement and deformation of the main infrastructure along the rail transit, and establish a unified aboveground and underground space-time benchmark based on Beidou + pseudosatellite. The system will comprehensively enhance the operation safety of rail transit.
Office: EB573
Email: Ningxin.Weng15@student.xjtlu.edu.cn
Tianqi Liu
PhD Project: Photocatalytic-magnetic g-C3N4 quinary nanocomposite for efficient removal of aqueous organic pollutants
Abstract: In recent years, due to rapid industrialization and increasing human population, aqueous environmental pollution has been getting more serious than ever. Thus, there is an urgent need to develop an environmentally-friendly and efficient technology to address global water pollution. Recently, the work on graphitic carbon nitride (g-C3N4) has been gaining unprecedented attention due to its huge potential to harness the renewable solar light for efficient environmental remediation. For the first time, this research will elucidate the synthesis of a sustainable photocatalytic-magnetic quinary nanocomposite, namely magnetite coupled with silver bromide, silver chloride, silver iodide and g-C3N4 (Fe3O4/AgBr/AgCl/AgI/g-C3N4) through novel synthesis protocols. This nanocomposite will be thoroughly characterized using advanced materials characterization, and be employed to efficiently degrade various aqueous recalcitrant and toxic organic contaminants under visible-light irradiation.
Office: EB541
Email: Tianqi.liu19@student.xjtlu.edu.cn
Dada, Temitope Emmanuel
PhD Project: Experimental and numerical investigations of the compressive behaviours of waste-containing FRP-confined concrete columns
Abstract: Despite the numerous sustainability benefits, the use of waste in concrete has been a significant challenge, considering its effect on the mechanical properties. In particular, structural concrete elements containing recycled aggregates (RA) and certain supplementary cementitious material (SCM) often exhibit inferior properties to those with natural aggregates when used above the stipulated limits. Strengthening with fibre-reinforced polymer (FRP) is one way to overcome this challenge. Aside strength reduction, the behaviour of concrete containing RA is much more heterogenous compared to those with NA; from the non-uniformity of the hoop strain when confined with FRP to the uncertainty in its transition zones between the mortars and original NA, the mechanism of confinement is very complex. This project studies these complex mechanisms via experimental, numerical, and machine-learning approaches. Attempts have been made to quantify the ultimate conditions of the stress-strain responses under different loading conditions. Novel methodologies, models, and tools are also being developed to predict the stress-strain behaviours of wastes containing FRP-confined concrete. These are all geared toward meeting the eleventh sustainable development goal (SDG) – sustainable cities and communities.
Office: EB575
Email: T.Dada19@student.xtjlu.edu.cn
Lang Liu
PhD Project: On the Effect of Solute Atoms on Twin Boundary Migration in Magnesium Alloys
Abstract: The impeding effects of interfacial segregation on magnesium twin boundary mobility were chosen to be the subject of this study. Flat twin boundary migration and the solute effects on its mobility have been studied using molecular dynamics simulation. More generally, twin boundaries with their misorientation angles deviating from ideal values have been studied via dislocation analysis. Finally, energetics calculation is adopted in studying the impeding effects of solute segregation on twin boundaries. The conclusions from this study shed light on enhancement of the strength of magnesium alloys.
Office: Room 1104, Key Laboratory for Light-weight Materials, Nanjing
Email: Lang.Liu21@student.xjtlu.edu.cn
Yuxiang Ji
PhD Project: Machine learning-based intelligent decision making & evaluation for additive manufacturing repair for underwater structures
Abstract: This project explores the impact of laser parameters on the transient temperature field and subsequent microstructure evolution during the laser additive manufacturing (LAM) repair of high-strength alloys. Utilizing a dual ellipsoidal heat source model integrated with machine learning prediction techniques in Abaqus, the project simulates and optimizes the temperature distribution and microstructure formation processes. By combining cellular automata algorithms with multi-fidelity models, this project precisely simulates microstructural evolution using experimental data acquired from infrared imaging. Furthermore, this project developed a predictive system that estimates material mechanical properties by analyzing the predicted microstructure morphology in conjunction with known performance data of similar materials using machine learning methods. This system not only enhances research efficiency but also reduces experimental costs. The results demonstrate high consistency between model predictions and actual experimental outcomes, validating the effectiveness of the methods and suggesting potential applications in similar processes for other manufacturing techniques. This project provides a powerful tool for predicting and optimizing microstructure and properties in additive manufacturing by controlling process parameters, significantly enhancing predictive capabilities and operational efficiency in laser additive manufacturing.
Email: Yuxiang.Ji22@student.xjtlu.edu.cn