Multi-Scale Reliability-Based Design Optimization of Three-Dimensional Orthogonal Woven Composite Fender

Abstract

Three-dimensional orthogonal woven composites have excellent mechanical properties and delamination resistance, which have a bright future in the application of automotive lightweight. A prediction model of elastic properties for three-dimensional orthogonal woven composites was established based on the analytical micromechanical method. The macro-scale performances of the fender were analyzed by using the finite element method. The Monte Carlo reliability analysis method, the Kriging surrogate mode, and the particle swarm optimization algorithm were adopted to conduct multi-scale reliability-based design optimization of a composite structure, which involves the uncertainties of material and structural design variables. The results show that the optimized fender meets the requirments of structural stiffness and reliability, and it also achieves a weight reduction of 21.93%.

Keywords

• three-dimensional orthogonal woven composite (3dowc)
• automobile fender
• kriging surrogate model
• multi-scale simulation
• reliability-based design optimization (rbdo)