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基于贝叶斯抽样的混凝土梁结构静力随机模型修正方法

Stochastic Model Correction of Concrete Beam Structure Based on Bayesian Sampling
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摘要 安全可靠性一直是工程结构至关重要的问题。论文基于随机的静力测量数据,利用贝叶斯方法求解随机模型修正方程。通过数值仿真,研究了所提方法对梁结构的修正效果,实现了结构的随机模型修正。 Safety and reliability are a vital issue in engineering structures.Based on random static measurement data,this paper used the Bayesian method to solve the stochastic model correction equation.Through numerical simulation,this paper studied the proposed effect of beam structure correction,and realized the random model correction of structure.
作者 石韶文 旷国忠 田宇 黄斌 SHI Shao-wen;KUANG Guo-zhong;TIAN Yu;Huang Bin(School of Civil Engineering and Architecture,Wuhan University of Technology,Wuhan 430070,China)
出处 《建材世界》 2023年第4期82-86,共5页 The World of Building Materials
基金 国家大学生创新创业训练计划(S202210497273).
关键词 静力随机模型 不确定静力测量数据 贝叶斯方法 static stochastic model uncertain static measurement response Bayesian method
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