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Multidisciplinary design optimization of a vehicle system in a scalable, high performance computing environment

  • Industrial applications and design case study
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Abstract

Multidisciplinary Design Optimization of a vehicle system for safety, NVH (noise, vibration and harshness) and weight, in a scalable HPC environment, is addressed. High performance computing, utilizing several hundred processors in conjunction with approximation methods, formal MDO strategies and engineering judgement are effectively used to obtain superior design solutions with significantly reduced elapsed computing times. The increased computational complexity in this MDO work is due to addressing multiple safety modes including frontal crash, offset crash, side impact and roof crush, in addition to the NVH discipline, all with detailed, high fidelity models and analysis tools. The reduction in large-scale MDO solution times through HPC is significant in that it now makes it possible for such technologies to impact the vehicle design cycle and improve the engineering productivity.

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Authors and Affiliations

  1. SGI HPC Applications & Market Development, 1600 Amphitheatre Parkway, MS 405, 94043-1351, Mountain View, California, USA

    S. Kodiyalam

  2. FORD Motor Company, 2101 Village Road, 48124, Dearborn, Michigan, USA

    R.J. Yang , L. Gu  & C.-H. Tho

Authors
  1. S. Kodiyalam
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  2. R.J. Yang
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  3. L. Gu
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  4. C.-H. Tho
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Correspondence to R.J. Yang .

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Kodiyalam , S., Yang , R., Gu , L. et al. Multidisciplinary design optimization of a vehicle system in a scalable, high performance computing environment. Struct Multidisc Optim 26, 256–263 (2004). https://doi.org/10.1007/s00158-003-0343-2

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  • DOI: https://doi.org/10.1007/s00158-003-0343-2

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