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Automatic Geometry Based FE Model Generation for Optimization and Robust Design for Passive Safety of Passenger Vehicles
Author(s) -
Hilmann Joergen,
Paas Michel,
Schindler Volker
Publication year - 2005
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.200510003
Subject(s) - latin hypercube sampling , offset (computer science) , matlab , python (programming language) , computer science , software , sensitivity (control systems) , perl , genetic algorithm , process (computing) , simulation , automotive engineering , monte carlo method , engineering , mathematics , operating system , electronic engineering , statistics , machine learning
Abstract In this paper the optimization of large scale vehicle structures is addressed. A process strategy based on Latin Hypercube sampling, genetic algorithm optimization, and sensitivity analysis is discussed. This process was implemented on a dedicated Linux Cluster, utilizing various free and commercially available software tools, including SFE Concept, Perl, Matlab, and Radioss. The viability of the method is demonstrated for a large scale vehicle model in an offset deformable barrier crash test at 64 kph impact velocity. (© 2005 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)