欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对结构可靠性分析中如何减小结构失效概率的问题，引入一种基于失效概率的全局灵敏度指标，通过分析指标，可判断基本变量的不确定性如何影响系统失效概率。求解全局灵敏度指标，在H—S方法基础上，提出一种改进估计量与重要抽样法相结合的方法，基本思想是用重要抽样法构造输入变量样本，寻找中间估计量，建立模型输出量和中间估计量；中间估计量和输入变量主效应、总效应之间的关系，然后求得变量基于失效概率全局灵敏度指标。由于所提方法继承了中间估计量的快速收敛性及重要抽样法高效搜索感兴趣区域样本的优点，因此在保证与标准Sobol方法计算结果同等精度的条件下，方法大大减少了对结构功能函数的计算次数，提高了效率，方便对精度和计算时间控制。最后，算例验证所提方法求解基于失效概率的全局灵敏度指标的准确性和高效性。
英文摘要：
In order to analyze the effect of input variable on the failure probability of the system and reduce the failure probability, a failure probability based global sensitivity is investigated. Generally Monte carlo based method is widely used to solve the failure probability sensitivity measure, but its large computational cost can not be afforded, especially for the low failure probability in eomputationally engineering demanding problems. To overcome the disadvantage of MC method, an improved importance sampling method for global sensitivity measure of failure probability is proposed combining with H-S method. The main idea of the proposed method is firstly generating samples in interesting region by efficient importance sampling （IS） , then searching the proper estimator and establishing the relationship between failure probability based global sensitivity measure and the estimator, furthermore, obtaining the global sensitivity measure. Since the proposed method combines the fast convergence of H-S estimator and high efficient searching capability in interesting region of the IS. The proposed method is more efficient with enough accuracy, compared with the standard Sobol＇ method for the variance based on global sensitivity measure. Finally, two numerical examples and an engineering example are employed to demonstrate the reasonability of the proposed sensitivity measure and the efficiency of the proposed method.
同期刊论文项目
同项目期刊论文
State dependent parameter method for importance analysis in the presence of epistemic and aleatory u
A new interpretation and validation of variance based importance measures for models with correlated
A new learning function for Kriging and its applications to solve reliability problems in engineerin
Global Sensitivity Analysis of Fuzzy Distribution Parameter on Failure Probability and Its Single-Lo
A Stable Approach Based on Asymptotic Space Integration for Moment-Independent Uncertainty Importanc
The derivative based variance sensitivity analysis for the distribution parameters and its computati
Regional importance effect analysis of the input variables on failure probability and its state depe
Sensitivity analysis of the variance contributions with respect to the distribution parameters by th
Importance analysis for models with correlated input variables using state dependent parameters appr
A new kind of regional importance measure of the input variable and its state dependent parameter so
Importance analysis on the failure probability of the fuzzy and random system and its state dependen
Application of Rejection Sampling based methodology to variance based parametric sensitivity analysi
Efficient approach for reliability-based optimization based on weighted importance sampling approach
期刊信息
位置：