Paper Title:
Method for Estimating Failure Probability of Mechanical Structures Using Number Theoretical Net (NT-net) Simulation
  Abstract

According to poor computational accuracy at small to median sample sizes of Monte Carlo ( MC ) simulation techniques in estimating the probability failure of mechanical structures, the number theoretical net ( NT-net ) simulation method is proposed to reduce computing effort. Several key concepts, such as good point set, good-lattice point ( glp ), discrepancy and NT-net method, are defined. The sampling stategy is improved by introducing NT-net that can provide better convergent rate over MC. The new method is used to estimate failure probability of the side impact bar on the car door. Results indicate the computational effort needed by NT-net for the same accuracy is about 1/12 of that needed by the MC-based method, and the obtained results are more stable.

  Info
Periodical
Materials Science Forum (Volumes 628-629)
Edited by
Dongming Guo, Jun Wang, Zhenyuan Jia, Renke Kang, Hang Gao, and Xuyue Wang
Pages
239-244
DOI
10.4028/www.scientific.net/MSF.628-629.239
Citation
Z.J. Wen, D. S. Liu, S. Y. Yang, "Method for Estimating Failure Probability of Mechanical Structures Using Number Theoretical Net (NT-net) Simulation", Materials Science Forum, Vols. 628-629, pp. 239-244, 2009
Online since
August 2009
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Price
$32.00
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