Statistical effects of pore features on mechanical properties and fracture behaviors of heterogeneous random porous materials by phase-field modeling

Heterogeneous materials with randomly distributed pores are ubiquitous, such as sintered silver nanoparticles, concrete materials, 3D printed polymers, and natural bones. Recent experimental investigations have revealed that porosity also pore-related geometries (size, number, shape, distribution alignment) significant impacts on the mechanical behavior of random porous materials. However, existing studies focus effect while ignoring other pore features size shape. Our research is dedicated to a computational framework for generating isotropic/anisotropic using Gaussian fields stochastic shape factor addressing properties brittle fractures fracture phase-field model preferred degradation function. Sintered nanoparticles typical pores, representative chosen their promising applications in emerging power electronics wearable devices. In order emphasize 420 samples fixed were generated discuss stress–strain response during establish statistical relationships between feature distributions Young's modulus, UTS, average historical energy. findings suggest statical attributes sizes factors significantly affect material performance related behavior, which could give better understanding guide reliability-based design optimization.