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

Kiani M., Yildiz A. R.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, vol.23, no.4, pp.723-734, 2016 (SCI-Expanded) identifier identifier


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.