Interfacing In-Situ Mechanics with Image Correlation and Simulations

Abstract

In-situ characterization in conjunction with analytical and computational tools can be useful to extract qualitative and quantitative information pertaining to the deformation of materials. This chapter introduces the analytical and computational investigations into the deformation of materials. Digital image correlation (DIC) is a powerful image analysis technique to quantify deformation experienced by the microstructure subjected to mechanical loading. DIC analysis of real-time videos is useful to compute local as well as overall strains experienced by the sample under mechanical loading. Analysis of high-resolution in-situ videos provides localized microstructural strains. Determination of local, feature-specific strains provides insights into the deformation of multicomponent materials with complex microstructures. DIC analysis enables an understanding of stress transfer characteristics in 3D architectures. Local strains can be computed along different orientations, providing information about the degree of isotropy/anisotropy in microstructure response. DIC mapping is employed to examine crystallographic slip and lattice rotation during mechanical deformation. The chapter introduces and presents case studies on molecular dynamic (MD) simulations to complement real-time imaging. MD simulations provide insights into defect interactions, the role of flaws on deformation, work hardening, cyclic deformation as well as high-temperature mechanics of materials. In-situ imaging along with MD simulations reveal underlying atomic-scale phenomena during deformation. The validation of simulation by in-situ imaging is vital for developing reliable models capable of predicting mechanical phenomena in a wide diversity of materials. Table 6.1 below summarizes the application of analytical and computational tools/techniques along with in-situ experimental characterization to probe mechanical phenomena in different classes of materials.