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Reliability Sensitivity for Bending Fatigue of Gear Using Quasi-Monte Carlo Method

机译:准蒙特卡罗方法对齿轮弯曲疲劳的可靠性敏感性

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摘要

Monte-Carlo(MC) method is widely used in the field of reliability-based sensitivity analysis of structures because its program structure is very simple and its rate of convergence is independent of the number of dimensions of the problems. But this method is not suitable for the problems of small failure probability because of its low computational efficiency. And because of this reason its application in the field of reliability-based sensitivity analysis of structures is limited. To overcome its low computational efficiency, this paper replaces the Pseudo-random number sequence with the low-discrepancy sequence (halton sequence), and combines the important sample method, develops the Quasi-Monte Carlo(QMC) method which can be used to do the reliability-based sensitivity of structures. The QMC method reduces the number of sample, acquires higher computational efficiency compared with the traditional MC method. The error of the QMC method is deterministic compared with the error under probability level of the traditional MC method. At last, this paper studies the reliability and reliability sensitivity analysis of bending fatigue of a gear. Form the result, the higher computational efficiency is confirmed, the QMC method provides a new approach for reliability-based sensitivity analysis of gears.
机译:蒙特卡洛(MC)方法由于其程序结构非常简单并且其收敛速度与问题的维数无关,因此在基于可靠性的结构灵敏度分析领域中得到了广泛的应用。但是由于计算效率低,该方法不适用于故障概率小的问题。并且由于这个原因,其在基于可靠性的结构敏感性分析领域中的应用受到限制。为了克服其计算效率低的问题,本文将伪随机数序列替换为低差异序列(halton序列),并结合了重要的采样方法,开发了可用于做的拟蒙特卡罗(QMC)方法基于可靠性的结构敏感性。与传统的MC方法相比,QMC方法减少了样本数量,获得了更高的计算效率。与传统MC方法的概率水平下的误差相比,QMC方法的误差是确定性的。最后,本文研究了齿轮弯曲疲劳的可靠性和可靠性敏感性分析。结果表明,更高的计算效率被证实,QMC方法为基于可靠性的齿轮灵敏度分析提供了一种新方法。

著录项

  • 来源
  • 会议地点 Shanghai(CN);Shanghai(CN)
  • 作者单位

    School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China;

    School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China;

    School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China;

    School of Mathematics, Institute of Disaster Prevention Science and Technology, Sanhe, Hebei, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 可靠性理论;可靠性理论;
  • 关键词

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