Optimization of Spot-Welded Joints Combined Artificial Bee Colony Algorithm with Sequential Kriging Optimization

摘要: Generally, spot-welded joints are the weakest parts of structures leading to fatigue failure under fluctuating loads. Therefore, it is important optimize spot weld improve life. However, a classical optimization often directly couples finite element analysis (FEA) with algorithm, which may fall into local optimum or be expensive computationally. In this study, metamodel-based procedure proposed find locations spotwelded for maximum Based on initial training points, Kriging model implemented approximate objective function regarding design variables (i.e., welds). To further overcome defect traditional and accuracy optimumresults, sequential (SKO) utilized, where theKrigingmodel updated iteratively by adding new points dataset till global obtained. The run using artificial bee colony (ABC) algorithm results show that our method able performance joint. More importantly, more competent can found executed efficiently, compared conventional methods.