学术
摘 要:
将Bayes参数估计理论引入岩体弹-粘塑性参数随机反分析问题,建立了相应的Bayes参数反分析误差函数,并将优化理论中的变尺度法应用于该反分析问题,推导了相应的计算公式,编写了相应的计算程序。通过典型算例验算表明,Bayes随机优化反分析方法能有效地估计岩体弹-粘塑性参数,且具有较高的计算精度和计算效率。[著者文摘]
文章出处:
《南京航空航天大学学报》-2008年40卷1期 -125-128页
分 类 号:
文献标识码:
A
文章编号:
1005-2615（2008）01-0125-04
Bayes Stochastic Back Analysis on Elasto-Viscoplastic Parameters of Rock Mass
Zhao Xinming, Liu Ning （1. College of Aerospace Engineering, Nanjing University of Aeronautics ＆ Astronautics, Nanjng, 210016, China; 2. College of Civil Engineering, Hehai University, Nanjing, 210098, China）
Abstract:
Stochastic back analysis on the elasto-viscoplastic parameters of the rock mass is conducted by using the Bayesian parameter estimation theory. Bayesian error function is established, and the DFP optimization method is implemented in the stochastic back analysis. The corresponding formulas are derived, and an appropriate calculating program is compiled. An example shows that some important conclusions about stochastic back analysis of the elasto-viscoplastic parameters of rock mass are obtained. The result shows that DFP optimization method has advantages of higher computing efficiency and higher convergence precision in stochastic back analysis on the elasto-viscoplastic parameters of the rock mass.[著者文摘]
Key words:
mechanical properties ; elasto-viscoplasticity ; stochastic back analysis ; Bayes theory
基金资助:
国家自然科学基金（59809003）资助项目.
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