Multidisciplinary design optimization - some formal methods, framework requirements, and application to vehicle design

被引:98
|
作者
Kodiyalam, S [1 ]
Sobieszczanski-Sobieski, J [1 ]
机构
[1] SGI, HPC Applicat & Market Dev, Server & Supercomp Business, Mt View, CA 94043 USA
关键词
high performance computing (HPC); MDO methods/requirements; optimization;
D O I
10.1504/IJVD.2001.001904
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
A vehicle is an engineering system whose successful design requires harmonization of a number of objectives and constraints that, in principle, can be modelled as a constrained optimization in the space of design variables. However, dimensionality of such optimization and the complexity and expense of the underlying analysis suggest a decomposition approach to enable concurrent execution of smaller and more manageable tasks. In order to preserve the couplings that naturally occur among the elements of the whole problem, such optimization by various types of decomposition must include a degree of coordination at the system level. Multidisciplinary Design Optimization (MDO) is a body of methods and techniques for performing the above optimization so as to balance the design considerations at the system and detail levels. The paper is an overview of a few MDO methods selected for their applicability to vehicle systems.
引用
收藏
页码:3 / 22
页数:20
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