黄轶淼
中国
硕士生导师
男
西澳大学
哲学博士
huangyimiao@hotmail.com
土木与交通学院
教授
土木工程
博士研究生
huang yi miao
访问量:
科研论文
-
[11] 马国伟,杨萌,黄轶淼,董威. 一种多级分类的BIM模型智能轻量化处理方法. , 2023, 河北工业大学, CN116030231A 2023.04.28.
-
[12] 郑贺民,陈振东,武贯军,殷爱国,张新,李延云,韩玉珍,殷金成,张立彬,吴庆成,黄轶淼,张伟朋,刘同斌,张震江,周亮. 装配式结构部品成型系统、计算机设备、数据处理终端. , 2022, 中国铁路设计集团有限公司,中铁七局集团有限公司,建科机械(天津)股份有限公司,河北工业大学, CN115245994A 2022.10.28.
-
[13] Dong, Wei;Huang, Yimiao;Lehane, Barry;Ma, Guowei. An artificial intelligence-based conductivity prediction and feature analysis of carbon fiber reinforced cementitious composite for non-destructive structural health monitoring. Engineering Structures, 2022, 266 , .
-
[14] Wei Dong;Yimiao Huang;Aidi Cui;Guowei Ma. Mix design optimization for fly ash-based geopolymer with mechanical, environmental, and economic objectives using soft computing technology. Journal of Building Engineering, 2023, 72 , 106577.
-
[15] Yimiao Huang;Zehui Huo;Guowei Ma;Lei Zhang;Fang Wang;Junfei Zhang. Multi-objective optimization of fly ash-slag based geopolymer considering strength, cost and CO2 emission: A new framework based on tree-based ensemble models and NSGA-II. Journal of Building Engineering, 2023, 68 , 106070.
-
[16] Wei Dong;Yimiao Huang;Barry Lehane;Guowei Ma. An artificial intelligence-based conductivity prediction and feature analysis of carbon fiber reinforced cementitious composite for non-destructive structural health monitoring. Engineering Structures, 2022, 266 , 114578.
-
[17] Ma, Guowei1;Cui, Aidi1;Huang, Yimiao1;Dong, Wei2;. A Data-Driven Influential Factor Analysis Method for Fly Ash-Based Geopolymer Using Optimized Machine-Learning Algorithms. Journal of Materials in Civil Engineering, 2022, 34 7, .
-
[18] 马国伟,丁国民,黄轶淼,梅晓彬. 一种钢筋网片的智能识别及提取方法. , 2022, 河北工业大学,天津市银丰机械系统工程有限公司, CN114580042A 2022.06.03.
-
[19] 马国伟,黄轶淼,闫浩辉,薛桂香. 一种基于浮动感知钢筋纵肋位置的方法及装置. , 2022, 河北工业大学, CN115007736A 2022.09.06.
-
[20] Zhang, Junfei1, 2; Huang, Yimiao1, 2; Ma, Guowei1, 2; Nener, Brett3 . Mixture optimization for environmental, economical and mechanical objectives in silica fume concrete: A novel frame-work based on machine learning and a new meta-heuristic algorithm. Resources, Conservation and Recycling, 2021, 167 , .