基于对数回归模型的结构易损性分析

刘骁骁; 吴子燕; 孙鸿宾; 王其昂

doi:10.13204/j.gyjz201308009

基于对数回归模型的结构易损性分析

doi: 10.13204/j.gyjz201308009

1.
西北工业大学力学与土木建筑学院,西安710129

基金项目:

国家自然科学基金项目(51278420);西北工业大学研究生创业种子基金项目(Z2013057)

详细信息

作者简介:
第一作者：刘骁骁, 男, 1989年出生, 硕士研究生。电子信箱：xxliu1989@163.com

中图分类号: U441.4
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- 文章访问数: 191
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- 被引次数: 0
出版历程
- 收稿日期: 2013-04-15
- 刊出日期: 2013-08-20

RESEARCH OF THE SEISMIC FRAGILITY OF STRUCTURE BASED ON LINEAR LOGISTIC REGRESSION MODEL

1.
School of Mechanics and Civil Engineering &Architecture,Northwestern Polytechnical University,Xi’an 710129,China

摘要

摘要: 综合考虑结构物理参数的随机性和响应的统计相关性，提出了基于对数回归模型的结构易损性分析方法。以蒙特卡罗模拟和随机时程分析法考虑物理参数的随机性，采用-二项分布探讨响应统计相关性，并建立对数回归模型计算结构易损性。以某一钢筋混凝土两跨连续梁高速公路桥为算例，根据设计图获取其物理参数作为均值，选取合适的标准差做蒙特卡罗模拟，随机采样得到参数样本，通过随机时程分析获得最大响应样本，利用矩估计、最小二乘分别求得-二项分布和对数回归模型未知参数，最终获得各等级破坏状态下的易损性曲线，并与提出的基于累积极限状态阈值的结构易损性相比较。结果表明：所提出的易损性分析方法，能够达到对结构易损性的保守估计，保证预测结果的合理性，为检测桥梁构件是否过度老化或意外损坏提供理论依据。
- 结构易损性 /
- 对数回归模型 /
- 统计相关性 /
- 物理参数随机性 /
- Monte Carlo /
- 随机时程分析
Abstract: A fragility evaluation methodology for bridge is proposed, based on logistic regression model.The methodology incorporates randomness of structural physical parameters and statistical dependence among response values.Using Monte Carlo simulation and random time history analysis, randomness of structural physical parameters was considered.Statistical dependence among response values was plored by Beta-binomial distribution, then logistic regression model was set up to analyse structure fragility.A two-span continuous concrete girder bridge was used as an example to illustrate the approach.Structure physical parameters with design drawings were taken as mean, and an appropriate standard deviation was selected for Monte Carlo simulation which can obtain parameter samples.Random time history analysis was done to get the sample of maximum values of responses, moment estimation and least square were used to obtain respectively Beta-binomial distribution and the unknown parameters of the logistic regression model, then the structure fragility curve under each level failure state was got and compared with fragility curve based on cumulative limit state valve.The results show that the proposed method can achieve a conservative fragility estimation, and better ensure the rationality of the prediction results, providing theoretical evidence for bridge damage detection.
- structure fragility /
- logistic regression model /
- statistical dependence /
- randomness of physical parameters /
- Monte Carlo /
- random time history analysis

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参考文献(14)

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