Collaborative Research: Framework for Quantifying Structural Robustness through Modeling and Simulation

合作研究：通过建模和仿真量化结构稳健性的框架

• 批准号: 0928953
• 负责人: Sashi Kunnath
• 金额: $ 16万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0928953&HistoricalAwards=false
• 关键词: Collaborative; Research; Framework; Quantifying; Structural

Robustness is the ability of a structural system to resist progressive collapse. While research on evaluating structural robustness has been ongoing for a while, many critical questions still remain unanswered. What are the sources of collapse resistance? Can structural robustness be quantified, and if so, how? Can simple design modifications, such as seismic-resistant detailing, provide increased collapse resistance, particularly at the system level? To address these open issues, special-purpose connection macromodels will be developed to enable collapse simulations of RC and steel moment frames. The calibration and validation of the simulation models will be accomplished in two ways: through comparison with unique experimental data on large-scale testing of connections and through comparison with high fidelity analyses. Several quantitative measures of structural robustness will be developed to assess local and global collapse potential of typical steel and RC building structures. The research results will then be synthesized into a probabilistic framework that can be used as a basis for defining the probability of structural collapse for a given damage scenario. The intellectual merit of the proposed work lies in the unprecedented opportunity to leverage unique large-scale test data to answer a number of critical questions that have long concerned the structural engineering community. The findings from this project will result in a significantly improved understanding of collapse resistance of building structures. In addition, the developed models and the framework for assessment of structural robustness will form the basis of a more general methodology that can be extended to other structural systems. At a broader scale, the proposed research will provide critical information needed to support the development of a new generation of design codes that attempt to explicitly quantify collapse risk. The new structural robustness indices that will be developed are expected to lead to a better understanding of reserve capacity in structures following the damage or failure of one or more critical structural elements. These benefits directly translate into saved lives and reduced injuries and suffering in the aftermath of unexpected loads on buildings. The project will also provide advanced training to graduate students by involving them in all phases of the research activity.

鲁棒性是结构系统抵抗连续倒塌的能力。虽然评估结构鲁棒性的研究已经进行了一段时间，但许多关键问题仍然没有答案。抗倒塌力的来源是什么？结构稳健性是否可以量化？如果可以，如何量化？简单的设计修改，如抗震细节，是否可以提高抗倒塌能力，特别是在系统层面？为了解决这些悬而未决的问题，将开发专用连接宏模型，使崩溃的钢筋混凝土框架和钢框架的模拟。模拟模型的校准和验证将通过两种方式完成：通过与大规模连接测试的独特实验数据进行比较，以及通过与高保真度分析进行比较。将开发几种结构鲁棒性的定量措施，以评估典型钢结构和钢筋混凝土建筑结构的局部和整体倒塌潜力。研究结果将被合成到一个概率框架中，该框架可用作定义给定损坏情况下结构倒塌概率的基础。拟议工作的智力价值在于前所未有的机会，利用独特的大规模测试数据来回答长期以来一直关注的结构工程界的一些关键问题。该项目的研究结果将大大提高对建筑结构抗倒塌能力的了解。此外，开发的模型和框架结构鲁棒性的评估将形成一个更一般的方法，可以扩展到其他结构系统的基础。在更广泛的范围内，拟议的研究将提供所需的关键信息，以支持新一代设计规范的发展，试图明确量化倒塌风险。新的结构鲁棒性指数，预计将导致更好地了解储备能力的结构后，一个或多个关键结构元件的损坏或故障。这些好处直接转化为拯救生命，减少建筑物意外负荷后的伤害和痛苦。该项目还将为研究生提供高级培训，让他们参与研究活动的所有阶段。