Authors: Jinghong Liang, Zissimos P. Mourelatos, Jian Tu
Addresses: Mechanical Engineering Department, Oakland University, Rochester, MI 48309, USA. ' Mechanical Engineering Department, Oakland University, Rochester, MI 48309, USA. ' Vehicle Development Research Lab, General Motors Research and Development Center, M/C: 480-106-256, 30500 Mound Road, Warren, MI 48090-9055, USA
Abstract: Reliability-based design optimisation (RBDO) can provide optimum designs in the presence of uncertainty. It can, therefore, be a powerful tool for design under uncertainty. The traditional, double-loop RBDO algorithm requires nested optimisation loops, where the design optimisation (outer) loop repeatedly calls a series of reliability (inner) loops. Due to the nested optimisation loops, the computational effort can be prohibitive for practical problems. A single-loop RBDO algorithm is proposed in this paper. Its accuracy is comparable with the double-loop approach and its efficiency is almost equivalent to deterministic optimisation. It collapses the nested optimisation loops into an equivalent single-loop optimisation process by using the Karush–Kuhn–Tucker optimality conditions of the inner reliability loops in the outer design optimisation loop, converting therefore the probabilistic optimisation problem into a deterministic optimisation problem. Two numerical applications, including an automotive vehicle side impact example, demonstrate the accuracy and superior efficiency of the proposed single-loop RBDO algorithm.
Keywords: reliability based design; optimal design; optimisation; probabilistic methods; reliability analysis; uncertainty; vehicle collisions; side impact.
International Journal of Product Development, 2008 Vol.5 No.1/2, pp.76 - 92
Published online: 22 Dec 2007 *Full-text access for editors Access for subscribers Purchase this article Comment on this article