Decision Support for Seismic Performance Evaluation

抗震性能评估的决策支持

• 批准号: 0084551
• 负责人: Abhinav Gupta
• 金额: $ 15万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-15 至 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0084551&HistoricalAwards=false
• 关键词: Decision; Support; Seismic; Performance; Evaluation

At all stages in the structural life-cycle, engineers are faced with the formidable challenges of complex decision-making, including open-ended and ill-structured problems, uncertain and perhaps incomplete data, and models with varying scales and levels of refinement that may be incompatible. Overall, goal of this research is to develop formal computational approaches that support comprehensive decision making in structural engineering. Specifically, these approaches will be realized in a prototype decision support system that draws on the complementary strengths of the engineer and the computer in a joint-cognitive system. Its design will be based on three major concepts- (1) optimization for evaluating alternatives and supporting what-if analyses; (2) sub-component approach to address structural model synthesis, scalability, model updating and uncertainty propagation; and (3) implementation in an object-oriented framework of high performance distributed computing. A series of simple and real-life test cases will be used to evaluate the proposed prototype.

在结构生命周期的所有阶段，工程师都面临着复杂决策的巨大挑战，包括开放式和结构不良的问题、不确定且可能不完整的数据，以及可能不兼容的不同规模和细化水平的模型。总的来说，这项研究的目标是开发支持结构工程综合决策的正式计算方法。具体来说，这些方法将在原型决策支持系统中实现，该系统利用联合认知系统中工程师和计算机的互补优势。其设计将基于三个主要概念——（1）评估替代方案和支持假设分析的优化； (2) 子组件方法，用于解决结构模型合成、可扩展性、模型更新和不确定性传播问题； (3)高性能分布式计算的面向对象框架的实现。将使用一系列简单且真实的测试用例来评估所提出的原型。