The probabilistic transformation method in reliability-based design optimization

被引:2
|
作者
Kadry, S. [1 ]
机构
[1] Faculty of Engineering, Lebanese International University, Beirut, Lebanon
关键词
Failure analysis - Probability density function - Intelligent systems - Finite element method - Monte Carlo methods - Machine design - Random variables;
D O I
10.3923/jas.2008.4198.4203
中图分类号
学科分类号
摘要
In this study, an efficient method is proposed, which we called (TRBDO), to evaluate the probability of failure in closed-form. This method is based on the Function of random variables or transformation together with the finite element method to obtain the Probability Density Function (PDF) using the random variable transformation between the input random variables and the output variable. Once the PDF is evaluated the calculation of the probability of failure Pf is straight forward. To proof the accuracy of the proposed method, the result is compared with Monte Carlo simulation. The efficiency of presented methodology is demonstrated on the design of a 6-bar truss. © 2008 Asian Network for Scientific Information.
引用
收藏
页码:4198 / 4203
相关论文
共 50 条
  • [21] An efficient adaptive-loop method for non-probabilistic reliability-based design optimization
    Hao, Peng
    Wang, Yutian
    Liu, Xuanxiu
    Wang, Bo
    Li, Gang
    Wang, Lipeng
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2017, 324 : 689 - 711
  • [22] An efficient time-variant reliability-based design optimization method based on probabilistic feasible region
    Wu, Zihao
    Chen, Zhenzhong
    Chen, Ge
    Li, Xiaoke
    Jiang, Chen
    Gan, Xuehui
    Qiu, Haobo
    Gao, Liang
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2023, 37 (03) : 1375 - 1387
  • [23] An approximate sequential optimization and reliability assessment method for reliability-based design optimization
    Ping Yi
    Zuo Zhu
    Jinxin Gong
    Structural and Multidisciplinary Optimization, 2016, 54 : 1367 - 1378
  • [24] An efficient time-variant reliability-based design optimization method based on probabilistic feasible region
    Zihao Wu
    Zhenzhong Chen
    Ge Chen
    Xiaoke Li
    Chen Jiang
    Xuehui Gan
    Haobo Qiu
    Liang Gao
    Journal of Mechanical Science and Technology, 2023, 37 : 1375 - 1387
  • [25] A novel probabilistic feasible region method for reliability-based design optimization with varying standard deviation
    Wu, Zihao
    Chen, Zhenzhong
    Chen, Ge
    Li, Xiaoke
    Jiang, Chen
    Gan, Xuehui
    Qiu, Haobo
    Gao, Liang
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2023, 37 (09) : 4787 - 4800
  • [26] An approximate sequential optimization and reliability assessment method for reliability-based design optimization
    Yi, Ping
    Zhu, Zuo
    Gong, Jinxin
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2016, 54 (06) : 1367 - 1378
  • [27] A cell evolution method for reliability-based design optimization
    Chen, Chyi-Tsong
    Chen, Mu-Ho
    Horng, Wei-Tze
    APPLIED SOFT COMPUTING, 2014, 15 : 67 - 79
  • [28] A new method for efficient reliability-based design optimization
    Wu, YT
    Wang, W
    PROBABILISTIC MECHANICS & STRUCTURAL RELIABILITY: PROCEEDINGS OF THE SEVENTH SPECIALTY CONFERENCE, 1996, : 274 - 277
  • [29] A decoupled approach for non-probabilistic reliability-based design optimization
    Meng, Zeng
    Zhou, Huanlin
    Li, Gang
    Yang, Dixiong
    COMPUTERS & STRUCTURES, 2016, 175 : 65 - 73
  • [30] Threshold shift method for reliability-based design optimization
    Somdatta Goswami
    Souvik Chakraborty
    Rajib Chowdhury
    Timon Rabczuk
    Structural and Multidisciplinary Optimization, 2019, 60 : 2053 - 2072