应航天航空学院及卢天健教授的邀请，美国华盛顿大学(圣路易斯）的Guy Genin 教授将于7月23-28日访

问我校。Genin教授1996年在哈佛大学取得应用力学博士学位，先后在哈佛大学、剑桥大学及布朗大学等

国际一流大学担任教职并开展科研工作，1999年起在美国华盛顿大学(圣路易斯）工作，并获得终身教职

。近年来，Genin教授的研究主要集中在生物力学领域，在包括IJSS，JMPS, Journal of Biomechanics等

国际著名期刊发表论文40余篇，国际会议论文75篇，做特邀报告29次，是生物力学领域的一位国际知名学

者。

报告时间：7月23日(星期四)上午9：00

报告地点：教一楼南208

报告一： Title: Physiology and mechanics of the attachment of tendon to bone

Abstract: The attachment of dissimilar materials is a challenge because of the high levels

of localized stress that develop at such interfaces. An effective biologic solution to this

problem exists at the attachment of tendon (a relatively compliant, structural “soft tissue

”) to bone (a relatively stiff, structural “hard tissue”). The unique transitional tissue

that exists between uninjured tendon and bone is not recreated during healing, and surgical

reattachment of these two dissimilar biologic materials often fails. Our long-standing

goals, in collaboration with the Thomopoulos lab at the Washington University School of

Medicine, have been to develop tissue engineering strategies for improved healing and to

identify biomimetic strategies for attachment of composite materials.

We will present our nano-to-continuum characterization and analysis of functional grading at

the uninjured tendon-to-bone insertion site, and a brief overview of our efforts to guide

the body to replicate this functional grading through tissue engineering strategies.

报告二：Mechanics of mild traumatic brain injury: experimental observation of brain

biomechanics using MRI

Abstract: The human brain is believed to become injured when skull acceleration leads to

axonal strains that exceed a rate-dependent strain threshold. Computer models of the head

aim to predict peak strains resulting from crash-like conditions. However, confidence in the

predictions of these models is limited because of the paucity of data for validation. We

have developed a system for measuring dynamic strain fields in the human brain using

magnetic resonance imaging. Principal component analysis of the results provides insight

into the boundary conditions and dominant mechanisms for brain deformation in response to

skull acceleration.  The results suggest a rethinking of the mechanical events that underlie

conditions such as concussion