Progressive Collapse Simulation of Multi-Story Reinforced Concrete Buildings
时间：11月10日 星期五 下午15:30-16:30
Although several studies have investigated disproportionate collapse both experimentally and numerically, there is still a general lack of information not only on modeling and analyses procedures but also on system characteristics such as building height and initiation and sequence of column loss that impact the ability of RC buildings to resist progressive collapse. The study examined the influence of story height in resisting progressive collapse and the effect of the sequence of column losses in accelerating progressive collapse. Two specific scenarios were considered: column losses that are initiated with the loss of a corner column and in the middle of the building plan at the lowest level of the building. Finally, a methodology based on energy and deformation measures is developed that provides an indirect assessment of structural robustness and can be used to compare the relative robustness of different buildings. This research also provided a basis for comparing the relative robustness of buildings subjected to column losses on the lowest floor. Consequently, findings from the study provide engineers an insight into improving the robustness of a building to resist progressive collapse.
Li Shan had graduated from Hunan university in China with a Bachelor degree. Her Master education was from Hunan university, University of Pavia in Italy, and University of Patras in Greece. In 2017, she received her Ph.D. degree in civil and environmental engineering from University of California at Davis, advised by professor Sashi Kunnath. Her doctoral research is on the modeling and simulation of progressive collapse of multi-story reinforced concrete buildings.