Reliability of Existing Framed Structures Using Approximate Reasoning

使用近似推理的现有框架结构的可靠性

• 批准号: 8714059
• 负责人: Karen Chou
• 金额: $ 12.62万
• 依托单位: Syracuse University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-10-01 至 1991-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8714059&HistoricalAwards=false
• 关键词: Reliability; Existing; Framed; Structures; Using

Recent studies in medicine, economics and engineering have demonstrated that fuzzy set theory may indeed by a useful tool for the expression of professional judgement. Studies in structural engineering have been on damage assessment due to fatigue, and seismic loads. This research will emphasize the reliability and safety of existing (including newly constructed) plane frame structures. Classical reliability analysis will be used first to calculate the structure's reliability measure using objective information such as yield strength of materials, geometry of structures and applied loads. The reliability measure will then be updated utilizing the fuzzy set logic to include the quality of connections and structural members through inspections. Other parameters pertinent to the overall safety of a structure will also be investigated. An algorithm for updating the objective reliability will be presented. The significance of incorporating the subjective information in reliability analyses will be discussed. The results of this proposed study are expected to provide a more precise assessment on the safety of structures. These results are expected to enhance the engineers or owners' decision-making process in determining appropriate action to the structure such as maintenance, and rehabilitation, etc.

最近医学、经济学和工程学领域的研究表明，模糊集理论确实可以成为表达专业判断的有用工具。 结构工程的研究主要集中在疲劳和地震载荷造成的损坏评估上。 本研究将强调现有（包括新建）平面框架结构的可靠性和安全性。 首先使用经典可靠性分析，利用材料的屈服强度、结构的几何形状和施加的载荷等客观信息来计算结构的可靠性度量。 然后，将利用模糊集逻辑更新可靠性测量，以包括通过检查的连接和结构构件的质量。 还将研究与结构整体安全相关的其他参数。 将提出一种更新客观可靠性的算法。 将讨论在可靠性分析中纳入主观信息的重要性。 这项拟议研究的结果预计将为结构的安全性提供更精确的评估。 这些结果预计将增强工程师或业主的决策过程，以确定对结构采取适当的行动，例如维护和修复等。