Experimental and Computational Simulation of Progressive Collapse of Buildings

该项目涉及对位于哥伦布的俄亥俄州州立大学校园内计划拆除的三座现有建筑物进行物理测试，以研究建筑结构的连续倒塌特性。为研究现行设计指引建议的楼宇倒塌易损性，当局会拆除首层的结构柱，并监察楼宇的反应。这项研究将提供急需的实验数据，全尺寸的建筑物，以验证文献中报道的计算研究的结果，并验证设计指南中规定的方法。该项目将通过解决以下问题来提高对连续倒塌过程的理解：1）柱损失后建筑物内荷载的重新分布，2）板和横梁和纵梁在跨接失效柱时的作用，以及3）决定结构倒塌机制如何形成的结构系统特征。实验数据将用于验证和改进先进的非线性分析工具，并开发可供实践工程师使用的简化模型和分析程序。这项研究的结果将能够更准确地评估建筑物的倒塌潜力，从而提高新建筑物的设计效率和现有建筑物的改造效率。模拟数据将用于评估线性静态分析设计指南推荐的放大系数。这项研究预计将提供具有巨大价值的稀缺全尺寸实验数据，以促进工程对建筑物连续倒塌的了解。该项目将涉及来自科学和技术教育中代表性不足群体的研究生和本科生。 将进行动手示范，并在高中进行比赛。

The project involves physical testing of three existing buildings that are scheduled for demolition on the campus of The Ohio State University in Columbus to study the progressive collapse characteristics of building structures. To study the building collapse vulnerabilities as recommended by the current design guidelines, the structural columns in the first stories will be removed and response of the buildings will be monitored. This study will provide much needed experimental data on full-scale buildings to validate the results of computational studies reported in the literature and to verify the methodologies prescribed in the design guidelines. The project will improve understanding of progressive collapse process by addressing: 1) redistribution of loads within the building following loss of columns, 2) contribution of slabs and transverse and longitudinal beams in bridging over the failed column, and 3) structural system characteristics that determine how a structural collapse mechanism forms. The experimental data will be used to validate and refine advanced nonlinear analysis tools and to develop simplified models and analysis procedures that can be used by practicing engineers. The results of this research will enable more accurate assessment of collapse potential of buildings and, as a result, will lead to more efficient design of new buildings and retrofit of existing buildings. Simulation data will be used to evaluate the amplification factors recommended by the design guidelines for linear static analysis.This research is expected to provide scarce full-scale experimental data of immense value to advance engineering understanding about progressive collapse of buildings. The project will involve graduate, undergraduate students from underrepresented groups in science and technology education. Hands-on demonstrations will be given and competitions will be conducted at high school level.