A Comparative Study of Non-traditional Methods for Vehicle Crashworthiness and NVH Optimization
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, cilt.23, sa.4, ss.723-734, 2016 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Derleme
- Cilt numarası: 23 Sayı: 4
- Basım Tarihi: 2016
- Doi Numarası: 10.1007/s11831-015-9155-y
- Dergi Adı: ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.723-734
- Bursa Uludağ Üniversitesi Adresli: Evet
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.