A Comparative Study of Non-traditional Methods for Vehicle Crashworthiness and NVH Optimization
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Tarih
2016
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Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
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Kaynak
Archives Of Computational Methods In Engineering
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
23
Sayı
4
