Fatigue Life Prediction of Aluminum Alloys Based on Multiscale Damage

Fatigue fracture is one of the most common failure modes for engineering structures. During material manufacturing and processing, mesoscopic defects such as inclusions, bubbles and voids are inevitably introduced. Under cyclic loading, a significant number of these defects emerge and accumulate, substantially affecting the structural fatigue strength. Consequently, fatigue life prediction based on multiscale damage analysis has become a key area of research interest.This book is a collection of research methods for fatigue life prediction on multiscale damage. An effective classification approach was employed to characterize internal defects using micro-computed tomography scanning data combined with phased fatigue testing. An extraction method of surface curve is proposed to effectively represent the real surface roughness with microscope. 3D reconstruction for defects technology was implemented with ABAQUS subroutine. A multiscale fatigue damage evolution model was developed to describe both mesoscopic voids propagation at the micro-scale and fatigue damage evolution at the macro-scale, reflecting the progressive degradation of metal components.