On reliability-based optimisation methods for automotive structures

被引:27
|
作者
Gu, L [1 ]
Yang, RJ [1 ]
机构
[1] Ford Motor Co, Ford Res & Adv Engn, Dearborn, MI 48124 USA
关键词
vehicle safety; design optimisation; robust design; reliability-based design optimisation; crashworthiness; response surface;
D O I
10.1504/IJMPT.2006.008271
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To reduce the cost of prototype and physical tests, CAE analysis has been widely used to evaluate vehicle performance during the product development process. Combining CAE analysis and optimisation approach, the vehicle design process can be implemented more efficiently at affordable cost. Reliability-based design optimisation (RBDO) formulation considers variations of input variables, such as component gauges and material properties. This paper is on the application of reliability-based design optimisation of automotive structures. Several fundamental approaches aimed at simulations, optimisation and robustness analysis are discussed. They include sampling techniques and non-linear response surface methodologies, optimisation and robustness assessment, reliability-based design optimisation and robust design formulation. The major focus is on the implementation of reliability-based design optimisation methodologies in vehicle crash safety design. Some recent applications are presented to demonstrate how these approaches were used for vehicle structure design.
引用
收藏
页码:3 / 26
页数:24
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