2008, Volume 10, Issue 7
Strategic Study of CAE >> 2008, Volume 10, Issue 7
Integrated design based-on reliability of complex equipment
Institute of Systems Engineering, CAEP, Mianyang, Sichuan 621900, China
Next Previous
Abstract
To get low-risk design project of complex weapon equipment, the integrated design methodology based-on reliability is proposed. The product's reliability must be analyzed and quantified during the whole product life-cycle; and in the design phase, some measures must be taken to assure appropriate margin of the product during the service and mission environments.It is an important problem to find one balanceable optimal design amid advantage, reliability and robustness of the product, so that these characteristics are all brewed and produced during the design procedure, and not analyzed and evaluated afterwards. Due to product design and decision-making with incomplete information in general, the new methodology of quantification of margins and uncertainty (QMU) is introduced based on traditional decision-making methodology, which does depend on experiment results and partial numeric simulations, to provide an engineering analysis method of validity evaluation. Some practice suggested that this design methodology may have extensive engineering application future.
Figures
图1
图2
图3
References
[ 1 ] 路甬祥.设计技术与过程技术的集成创新[M].北京:机械工业出版社,2002
[ 2 ] 陆廷孝,郑鹏洲.可靠性设计与分析[M].北京:国防工业出版社,1997
[ 3 ] Gary S.Reliability Verification,Testing and Analysis in Engineer- ing Design [ M ] .Michigan: Wasserman Wayne State University Detroit,2002
[ 4 ] 陈幼玲,徐志磊.复杂技术产品设计与过程的集成[A].第八届设计与过程集成技术世界大会论文集IDPT-V01.1[C].2005
[ 5 ] Martin Pilch, Timothy G.Trucano, Jon C.Helton.Ideas underly- ing quantification of margins and uncertainties ( QMU ) : A white paper[ R] .California: Sandia Report Sand 2006 -5001 ,2006
[ 6 ] Yakov Ben -Haim.Robust reliability in the mechanical sciences [ M] .Berlin: Springer -Verlag,1996
[ 7 ] Fishman G S.Monte Carlo: Concepts, Algorithms, and Applica- tions[ M] .New York:Spinger -Verlag , 1996
[ 8 ] Isabel Beichl, Francis Sullivan.The Metropolis Algorithm [ J ] . Computing in Science & Engineering,2000 ,2 ( 1 ) :65 -69 link1
京公网安备 11010502051620号
