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A Comparative Study of Non-traditional Methods for Vehicle Crashworthiness and NVH Optimization
Ist Teil von
Archives of computational methods in engineering, 2016-12, Vol.23 (4), p.723-734
Ort / Verlag
Dordrecht: Springer Netherlands
Erscheinungsjahr
2016
Link zum Volltext
Quelle
SpringerLink
Beschreibungen/Notizen
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.