刘锦茂院士学术报告通知（2023-10）
报告题目：Experimental and Numerical Modeling of Modern Building Glass Facades Under Fire
报 告 人：刘锦茂(K.M.Liew)院士香港城市大学讲座教授
报告时间：2023年4月27日(周四)9:30-12:00
报告地点：河海大学(江宁校区)乐学楼709
主办单位：河海大学力学与材料学院
江苏省力学学会计算力学专业委员会
近场动力学与非局部理论国际研究中心
报告简介:
In mega cities, glass facade systems used in modern high-rise buildings have gained popularity due to their architectural features, and superior acoustic and thermal insulation properties. The glass facades are widely installed in shopping malls and office buildings to reduce the acoustic impacts and heat loads while allowing natural daylight to enter. Owing to its brittle nature, glass expands and breaks easily at elevated temperatures, and this can escalate the severity of fire outbreak. Such brittle nature of glass is of particular concern because the loss of facade integrity may provide a channel for fire spreading to other floors and adjacent buildings. To prevent fire from spreading, glass facade must be carefully designed aiming to enhance its thermal performance and minimizing the occurrence of fire spreading vertically to different floors or horizontally to adjacent buildings. Therefore, it is essential to understand the thermomechanical mechanisms of glass facade under fire. The present study develops experiments and computational frameworks based on meshfree/meshless techniques to investigate the thermal degradation of glass facades under fire conditions. In this talk, experiments and numerical simulations are presented to examine the fire performance of glass facades under different fire scenarios. These findings will help to improve the fire protection design of modern building glass facade systems, address various safety and reliability concerns, and provide valuable theoretical and practical resources for modern building design.
报告人简介:
刘锦茂 (K. M. Liew)，欧洲科学院院士、香港工程科学院院士，现任香港城市大学杨建文讲座教授 (可持续工程)、研究生院院长、仿生工程中心主任。刘教授曾任香港城市大学建筑学及土木工程学系主任、新加坡南洋理工大学终身教授、南洋理工大学超级计算与可视化中心的创始主任。凭借在学术领域的卓越贡献，刘教授连续五年被科睿唯安 (WOS, Clarivate Analytics) 评选为全球高被引科学家，被ISI评选为全球工程领域高被引学者。截至目前，刘教授论文引用超过50,000次，H-index为112。