Non-deterministic fatigue life analysis using convex set models

查看全文 作　　者：SUN [1]WenCai;YANG [1]ZiChun;LI [1]KunFeng

机构地区：[1]College of Power Engineering, Naval University of Engineering

出　　处：《Science China(Physics,Mechanics & Astronomy)》索引2013年第56卷第4期,共10页

基　　金：supported by the Program for New Century Excellent Talents in University of China;the Advanced Research Foundation of China (Grant No. 9140A27050109JB1112) 摘　　要：The non-probabilistic approach to fatigue life analysis was studied using the convex models-interval, ellipsoidal and multiconvex models. The lower and upper bounds of the fatigue life were obtained by using the second-order Taylor series and Lagrange multiplier method. The solving process for derivatives of the implicit life function was presented. Moreover, a median ellipsoidal model was proposed which can take into account the sample blind zone and almost impossibility of concurrence of some small probability events. The Monte Carlo method for multi-convex model was presented, an important alternative when the analytical method does not work. A project example was given. The feasibility and rationality of the presented approach were verified. It is also revealed that the proposed method is conservative compared to the traditional probabilistic method, but it is a useful complement when it is difficult to obtain the accurate probability densities of parameters. 关键词：疲劳寿命分析凸集模型非确定性 LAGRANGE乘子法蒙特卡罗方法概率方法椭球模型小概率事件

相关文献

参考文献（29）
引证文献（5）
耦合文献（78）

参考文献(29)

引证文献(5)

耦合文献(78)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Non-deterministic fatigue life analysis using convex set models

参考文献(29)

引证文献(5)

耦合文献(78)

用户提示