Surrogate-based optimisation of automotive structures under multiple crash and vibration design criteria

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

“…Besides safety, Noise-Vibration-Harshness (NVH) attribute is needed to be included in the vehicle structure design [2,[6][7][8][41][42][43][44]. Improving the NVH characteristics enhances the ride quality experienced by the occupants.…”

“…Among these techniques, Polynomial Response Surface (PRS) [2], Radial Basis Function (RBF) [6,7,42], and Kriging (KG) [45] are of importance. Based on the prior experience with RBF and its ability for accurate representation of nonlinear responses [6,7,42], this technique was selected for response approximation in this study. The unknown coefficients of the surrogate functions were found by using the least squares technique based on the exact function values at the selected design (training) points.…”

“…Through a preliminary study [6], twenty-two components were selected such that influence the crashworthiness and vibration attributes as well as the total weight of the car. The highlighted components are shown in detail in Fig.…”

“…In this study, three fundamental frequencies in bending, torsion, and combined bending-torsion are taken into account as the vibration responses. To evaluate these three mode frequencies, Body-In-White (BIW) model of Dodge Neon was developed for vibration analysis by MSC NASTRAN by Kiani co-authors [2,[6][7][8]42], Fig. 6.…”

“…Genetic Algorithm (GA) [2], Particle Swarm Optimization (PSO) [3], Simulated Annealing [4], and Artificial Bee Colony (ABC) [5] are the typical algorithms that are used for searching the global optimum point. Besides the global optimization algorithms, local optimization algorithms such as Sequential Quadratic Programming (SQP) have been used by some automotive researchers to design car body structures [6][7][8]. Unlike global search algorithms, local search algorithms converge fast but may get stuck in local minima.…”