基于多元模糊的钢筋混凝土结构地震抗损性评估方法研究
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国家自然科学基金(51378169)


Seismic Vulnerability Evaluation Method for Reinforced Concrete Structures Based on Multiple Fuzzy Analysis
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    摘要:

    评估钢筋混凝土结构抗损性具有重要工程意义,但目前以单因素叠加为基础的评估方法误差较大。为解决此问题,提出基于多元模糊的钢筋混凝土结构地震抗损性评估方法。以Park-Ang地震损伤模型为前提,引入正规化累积耗能参数,得到建筑结构层间损伤表达式,加权平均获取震后建筑结构整体损伤值;利用有害层间位移角参数计算震后结构层间位移角;将获取的结构整体损伤值、层间位移角作为多因素论域,进行多元模糊结构抗损性评估,选取模糊损伤评估数学模型与隶属度函数,克服单一因素影响,计算判别因素权重与结构综合损伤指数,根据结构抗损性能判断规则得到建筑结构抗损性所属标准。经实验测试验证:基于多元模糊的钢筋混凝土结构地震抗损性评估方法精确度大于95%,评估精确性高,是一种有效的钢筋混凝土结构抗损性评估方法。

    Abstract:

    Evaluating the damage resistance of reinforced concrete structures has great engineering significance, but the current evaluation method based on single-factor superposition has a large error factor. To solve this problem, in this paper, we propose a method for evaluating the seismic vulnerability of reinforced concrete structures based on multiple fuzzy analysis. Based on the Park-Ang seismic damage model, we introduce normalized cumulative energy dissipation parameters to obtain the inter-story damage of the building structure, and we obtain the integral damage values of a post-earthquake building structure via a weighted average. Then, we use the story-drift-ratio parameters to calculate the story drift ratio of the post-earthquake structure. We take the integral damage values of post-earthquake structures and the story drift ratio as the multi-factor domain to perform a multiple fuzzy evaluation of the structural damage resistance. We select the mathematical model and membership function of the fuzzy damage assessment to calculate the weight of each factor and the comprehensive damage index of the structure. The experimental results show that the accuracy of the proposed method based on multiple fuzzy analysis is greater than 95%, which confirms its effectiveness for evaluating the damage resistance of reinforced concrete structures.

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杨青,冯海英.基于多元模糊的钢筋混凝土结构地震抗损性评估方法研究[J].地震工程学报,2019,41(3):607-612. YANG Qing, FENG Haiying. Seismic Vulnerability Evaluation Method for Reinforced Concrete Structures Based on Multiple Fuzzy Analysis[J]. China Earthquake Engineering Journal,2019,41(3):607-612.

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  • 收稿日期:2018-09-18
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  • 在线发布日期: 2019-06-13