CLC number: TU470
On-line Access: 2018-06-04
Received: 2017-10-23
Revision Accepted: 2018-01-15
Crosschecked: 2018-08-13
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Jian Zhang, Chao Jia, Chu-wei Zhou. Updated Bayesian detection of foundation parameter with Jeeves pattern search theory[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A1700573 @article{title="Updated Bayesian detection of foundation parameter with Jeeves pattern search theory", %0 Journal Article TY - JOUR
基于Jeeves模式搜索理论地基参数的更新Bayes探测法创新点:1. 根据Bayes统计理论,推导更新Bayes误差函数.2. 结合最优步长的抛物线插值理论,推求地基参数的Jeeves模式搜索寻优方法,建立地基参数的探测分析模型. 方法:1. 根据Bayes统计理论,推导更新Bayes误差函数(公式(4))及误差函数对地基参数的梯度表达式(公式(5)).2. 根据中厚度弹性地基板理论,推求Winkler地基上板的控制微分方程(公式(19))和Fourier闭式解(公式(20)).3. 提出最优步长的抛物线插值寻优方案,并结合Jeeves模式搜索理论建立弹性地基参数的更新Bayes探测分析模型. 结论:1. 基于更新Bayes理论,可研究地基参数的Jeeves模式搜索分析模型,且地基参数的探测迭代过程具有良好的稳定性与收敛性.2. 更新Bayes误差函数能同时考虑不同量测次数和不同测点的位移实测信息,计算效率较高.3. 与共轭梯度法和Kalman滤波方法不同的是,Jeeves模式搜索理论的迭代过程不涉及误差函数偏导数计算,避免了迭代过程的误差累积. 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
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