Title :
Robustness optimization for vehicular crash simulations
Author :
Akkerman, A. ; Anderson, D.F. ; Lei Gu
Abstract :
Over the past 10 years (1990-2000), the computer analysis of vehicle crashworthiness has become a powerful and effective tool, reducing the cost and time to market of new vehicles that meet corporate and government crash safety requirements. Crash simulation is fundamentally computation-intensive, and it requires fast and powerful supercomputers to ensure reasonable turnaround time for the analyses. Because the explicit FE method is computationally efficient, researchers generally prefer it for crash simulation. Explicit FE codes are available from several third-party mechanical computer aided engineering (CAE) software vendors, and the major automotive manufacturers, including Ford Motor Company, use them for crash simulation. The article focuses on how this technology has been extended to perform design optimization and robustness assessment
Keywords :
accidents; automobile industry; automobiles; computer aided engineering; digital simulation; finite element analysis; mechanical engineering computing; safety; CAE; Ford Motor Company; automotive manufacturers; computation-intensive; computer analysis; design optimization; explicit FE codes; explicit FE method; government crash safety requirements; robustness assessment; robustness optimization; supercomputers; third-party mechanical computer aided engineering software vendors; turnaround time; vehicle crashworthiness; vehicular crash simulations; Computational modeling; Computer aided engineering; Costs; Government; Iron; Power engineering computing; Robustness; Time to market; Vehicle crash testing; Vehicle safety;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/5992.881701
