A nonparametric seismic reliability analysis method based on Bayesian compressive sensing-Stochastic harmonic function method and probability density evolution method

被引：16
作者：
He, Jingran [1 ,3 ]
Gao, Ruofan [2 ,4 ]
Zhou, Hao [3 ]
机构：
[1] Guangdong Univ Technol, Guangzhou Univ Mega Ctr, Sch Civil & Transportat Engn, Guangzhou, Peoples R China
[2] Jinan Univ, Sch Mech & Construct Engn, 601 West Huangpu Ave, Guangzhou 510632, Guangdong, Peoples R China
[3] South China Univ Technol, Sch Civil & Transportat Engn, 381 Wushan Rd, Guangzhou 510641, Guangdong, Peoples R China
[4] Jinan Univ, MOE Key Lab Disaster Forecast & Control Engn, 601 West Huangpu Ave, Guangzhou, Peoples R China
来源：
MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2023年 / 196卷
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Seismic reliability; Conditional random field; Probability density evolution method; Stochastic finite element method; KARHUNEN-LOEVE EXPANSION; CONCRETE STRENGTH; RESPONSE ANALYSIS; DYNAMIC-RESPONSE; RANDOM-FIELDS; SIMULATION;
D O I：
10.1016/j.ymssp.2023.110339
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
In engineering practice, the evaluation of seismic reliability of high-rise reinforced concrete structure relies on the probabilistic modelling of material properties. However, the measured data of material parameters in engineering practice is usually inadequate to determine the probability model accurately, especially for the problems involving spatial variability. Traditional parametric reliability analysis methods can be biased for this kind of problem. Therefore, a nonparametric seismic reliability analysis method is proposed based on the Bayesian compressive sensing - stochastic harmonic function method and the probability density evolution method. In this method, the conditional random fields are generated and applied to represent material properties of concrete. As a result, the seismic reliability of a high-rise reinforced concrete shear wall model structure is analyzed using the probability density evolution method.
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页数：19
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