Reconstruction of probabilistic S-N curves under fatigue life following lognormal distribution with given confidence  

作　　者：赵永翔 杨冰 彭佳纯 

机构地区：[1]State Key Laboratory of Traction Power,Southwest Jiaotong University,Chengdu 610031,P. R. China

出　　处：《Applied Mathematics and Mechanics(English Edition)》2007年第4期455-460,共6页应用数学和力学（英文版）

基　　金：Project supported by the National High Technology Research and Development Program of China(863 Program) (No.2006AA04Z406);the National Natural Science Foundation of China (Nos.50375130, 50323003 and 50575189);the Special Foundation for the Authors of National Excellent Doctoral Dissertations (No.200234);the Program for New Century Excellent Talents in University(No.NCET040890)

摘　　要：When the historic probabilistic S-N curves are given under special survival probability and confidence levels and there is no possible to re-test, fatigue reliability analysis at other levels can not be done except for the special levels. Therefore, the wide applied curves are expected. Monte Carlo reconstruction methods of the test data and the curves are investigated under fatigue life following lognormal distribution. To overcome the non-conservative assessment of existent man-made enlarging the sample size up to thousands, a simulation policy is employed to address the true production where the sample size is controlled less than 20 for material specimens, 10 for structural component specimens and the errors matching the statistical parameters are less than 5 percent. Availability and feasibility of the present methods have been indicated by the reconstruction practice of the test data and curves for 60Si2Mn high strength spring steel of railway industry.When the historic probabilistic S-N curves are given under special survival probability and confidence levels and there is no possible to re-test, fatigue reliability analysis at other levels can not be done except for the special levels. Therefore, the wide applied curves are expected. Monte Carlo reconstruction methods of the test data and the curves are investigated under fatigue life following lognormal distribution. To overcome the non-conservative assessment of existent man-made enlarging the sample size up to thousands, a simulation policy is employed to address the true production where the sample size is controlled less than 20 for material specimens, 10 for structural component specimens and the errors matching the statistical parameters are less than 5 percent. Availability and feasibility of the present methods have been indicated by the reconstruction practice of the test data and curves for 60Si2Mn high strength spring steel of railway industry.

关 键 词：FATIGUE probabilistic S-N curves RECONSTRUCTION Monte Carlo simulation 

分 类 号：O346.2[理学—固体力学] O211.3[理学—力学]