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A Comparative Study of Non-traditional Methods for Vehicle Crashworthiness and NVH Optimization

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Abstract

In this paper, metamodeling and five well-known metaheuristic optimization algorithms were used to reduce the weight and improve crash and NVH attributes of a vehicle simultaneously. A high-fidelity full vehicle model is used to analyze peak acceleration, intrusion and component’s internal-energy under Full-Frontal, Offset-Frontal, and Side crash scenarios as well as vehicle natural frequencies. The radial basis functions method is used to approximate the structural responses. A nonlinear surrogate-based mass minimization was formulated and solved by five different optimization algorithms under crash-vibration constraints. The performance of these algorithms is investigated and discussed.

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Authors and Affiliations

  1. Engineering Technology Associates Inc. (ETA), Troy, MI, 48083, USA

    Morteza Kiani

  2. Mechanical Engineering Department, Bursa Technical University, Bursa, Turkey

    Ali R. Yildiz

Authors
  1. Morteza Kiani
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  2. Ali R. Yildiz
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Correspondence to Morteza Kiani.

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Kiani, M., Yildiz, A.R. A Comparative Study of Non-traditional Methods for Vehicle Crashworthiness and NVH Optimization. Arch Computat Methods Eng 23, 723–734 (2016). https://doi.org/10.1007/s11831-015-9155-y

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  • DOI: https://doi.org/10.1007/s11831-015-9155-y

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