Automatic Geometry Based FE Model Generation for Optimization and Robust Design for Passive Safety of Passenger Vehicles | Zendy

Hilmann Joergen | Zendy; Paas Michel | Zendy; Schindler Volker | Zendy

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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

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)

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