Stochastic Response Surface Method with Advanced Sampling Approach for Reliability Analysis
The conventional stochastic response surface method (SRSM) has been demonstrated to be effective in reliability analysis.However, SRSM may produce large error on PoF estimation in the cases of low probability of failure (PoF).To mitigate this issue, a new form of SRSM with a advanced sampling strategy is proposed in this paper, in which the sample points are generated around the most probable point rather than the mean point.Since more sample points are located in the local region that is of great importance to the PoF estimation, the proposed new form of SRSM is supposed to yield more accurate PoF estimation than SRSM.The effectiveness and advantage of the new SRSM are demonstrated by comparative studies on three numerical examples.An application of it to the rocket design further demonstrates its effectiveness for PoF estimation.
Stochastic Response Surface Method Reliability Analysis Sampling Most Probable Point
Gaorong Sun Fenfen Xiong Shuxing Yang Keyong Li
School of Aerospace Engineering,Beijing Institute of Technology,100081,Beijing,China
国际会议
黄山
英文
1-7
2012-06-18（万方平台首次上网日期，不代表论文的发表时间）