Statistical Analyses of the Strengths of Particulate Reinforced Metal Matrix Composites (PRMMCs) Subjected to Multiple Tensile and Shear Stresses

Abstract For design and application of particulate reinforced metal matrix composites (PRMMCs), it is essential to predict the material strengths understand how do they relate constituents microstructural features. To this end, a computational approach consists direct methods, homogenization, statistical analyses introduced in our previous studies. Since failure PRMMC materials are often caused by time-varied combinations tensile shear stresses, established extended present work take into account these situations. In paper, ultimate endurance limits an exemplary material, WC-Co, predicted under three independently varied stresses. order cover entire load space with least amount weight factors, new method for generating optimally distributed factors n dimensional formulated. Employing determined algorithm, calculations were performed on many statistically equivalent representative volume elements (SERVE) samples. Through analyzing characteristics associated results study suggests simplified estimate strength superposed stresses without solving difficult high shakedown problem.