This book provides information on the basics of deformation and fracture in materials and on current, state-of-the-art experimental and numerical/theoretical methods, including data-driven approaches in the deformation and fracture study of materials. The blend of experimental test methods and numerical techniques to study deformation and fracture in materials is discussed. In addition, the application of data-driven approaches in predicting material performance in different types of loading and loading environments is illustrated.

Features:



Includes clear insights on deformation and fracture in materials, with clear explanations of mechanics and defects relating to them
Provides effective treatments of modern numerical simulation methods
Explores applications of data-driven approaches such as artificial intelligence, machine learning, and computer vision
Reviews simple and basic experimental techniques to understand the concepts of deformation and fracture in materials
Details modeling and simulation strategies of mechanics of materials at different scales

This book is aimed at researchers and graduate students in fracture mechanics, finite element methods, and materials science.