项目名称: 基于贝叶斯网模型的钢筋混凝土框剪结构抗震性能评估
项目编号: No.51468022
项目类型: 地区科学基金项目
立项/批准年度: 2015
项目学科: 建筑科学
项目作者: 李浩
作者单位: 江西科技师范大学
项目金额: 48万元
中文摘要: 如何科学地评估高层钢筋混凝土结构的抗震性能是工程领域具有现实意义的问题。在实际工程中,大量不确定性信息的存在使得这类评估问题变得难以处理。本研究以抗震性能评估的概率框架为基础,利用贝叶斯网模型评估高层钢筋混凝土框架-剪力墙结构的抗震性能。本项目主要研究内容包括,构造适用于钢筋混凝土框-剪结构性能评估的地震强度指标IM,基于改进静力推覆分析获取用于评价结构性能的损伤指标DM,并通过大量统计分析建立二者之间的概率关系,在此基础上构造贝叶斯网模型用于评估钢筋混凝土框架-剪力墙结构抗震性能。构造的科学问题是通过合理地构造地震强度指标,并建立它与结构损伤指标之间的概率关系,以此构造贝叶斯模型,实现在不完备观察信息条件下,评估高层钢筋混凝土框架-剪力墙结构的抗震性能。该项目的研究能进一步完善已有的抗震性能评估理论体系,从而更有效地而准确评估结构抗震性能。
中文关键词: 性能评价;混凝土结构;抗震性能;钢筋混凝土
英文摘要: How to scientifically evaluate the seismic performance of high-raised reinforced concrete structures is an engineering issue with practical significance. In practical engineering, existence of lots of uncertainty information makes such assessment becomes more difficult to handle. In this study, based on probabilistic seismic performance assessment framework, Bayesian network model is employed to assess the high-rise reinforced concrete frame - shear wall structure seismic performance. The proposal includes the following main contents, to construct intensity measure (IM) suitable for seismic performance assessment of reinforced concrete frame - shear wall structure, to acquire the damage measure (DM) used to evaluate the structural seismic performance based on improved pushover analysis, to establish the probabilistic relationship between IM and DM through statistical analysis, then to construct a Bayesian network model to assess the seismic performance of reinforced concrete frame - shear wall structure. The framed scientific problem is to evaluate the seismic performance of high-raised reinforced concrete structures under incomplete observed information circumstance using Bayesian network model which is constructed by constructing a reasonable IM and establishing the probabilistic relationship with DM. The research project will further improve the existing theory for seismic performance evaluation so as to assess the seismic performance more effective and accurate.
英文关键词: Performance Evaluation;Concrete Structures;Seismic Performance;Reinforced Concrete