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Chinese Journal of Engineering Design  2011, Vol. 18 Issue (2): 124-129    DOI:
    
Reliability sensitivity analysis for multi-parameters influential mechanism
 ZHU  Wei, LAI  Xiong-Ming
Key Laboratory of Modern Complex Equipment Design and Extreme Manufacturing, Ministry of Education, Central South University, Changsha 410083, China
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Abstract  A new method for computing reliability sensitivity of multi-parameters influential mechanism was presented. The model of mechanism was built by
using multi-body system dynamics theory and Kriging method. On this basis, we can get the
reliability sensitivity. Using this method the experiment has overcome the difficulty
caused by the model of complex mechanism, especially the mechanisms that performance
functions can not be calculated. At the same time, Monte Carlo simulation was used in this
method, which helped us to get the input and output of the Kriging model by small scale of
sample. As shown in the example, the method is efficient and easy to use, and it also
provides us a theoretical basis for the design.


Key wordsmechanism reliability      sensitivity      Kriging model      Monte Carlo simulation      multi-body system dynamics     
Published: 28 April 2011
CLC:  TH 112.1  
Cite this article:

ZHU Wei, LAI Xiong-Ming. Reliability sensitivity analysis for multi-parameters influential mechanism. Chinese Journal of Engineering Design, 2011, 18(2): 124-129.

URL:

https://www.zjujournals.com/gcsjxb/     OR     https://www.zjujournals.com/gcsjxb/Y2011/V18/I2/124


多参数影响机构的可靠度敏感性分析

提出了一种用于求解多参数影响机构的可靠度敏感性的新方
法.利用多体系统动力学理论和Kriging理论建立机构的模型,并在此基础上计算机构的可靠度敏感性.该
方法能够克服机构模型的复杂性所带来的计算困难,特别是在无法得出机构的状态功能函数时,Kriging
理论的应用可以很好地解决此类问题.同时,该方法利用小尺度的蒙特卡洛抽样仿真计算,可以通过小数
目的抽样来为建立Kriging模型提供给定的输入和输出.通过实例可以看出,在计算过程中该方法使用方
便,计算结果符合机构的实际情况,可为机构的后续设计提供理论依据.

关键词: 可靠度,  敏感性,  Kriging模型,  蒙特卡洛仿真,  多体系统动力学 
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