Duration: 2022-2026
Funding: NSM
ABOUT THE PROJECT
Computational mechanics plays a crucial role in modern engineering and materials science by enabling the simulation and prediction of material behavior under various conditions. One of the key challenges in this field is understanding the link between a material’s microscopic structure and its macroscopic properties. By accurately modeling microstructure-property relations, researchers can design materials with enhanced performance, optimize manufacturing processes, and reduce the need for costly experimental testing. Our research focuses on improving the accuracy and efficiency of three-dimensional (3D) microstructure analysis, bridging the gap between computational modeling and real-world material applications.
Goals
By leveraging advanced computational techniques, we seek to create more versatile and automated approaches for 3D microstructure generation of synthetic microstructures that closely represent real microstructures. This will enable more accurate simulations of material behavior and provide valuable insights for industries involved in material development and manufacturing of high-performance structural components.
To complement accurate microstructural representations, advanced material models are required to capture complex mechanical behaviors, such as asymmetric onset of yielding, anisotropic plasticity, or damage evolution. By incorporating advanced modeling techniques, we aim to develop computational frameworks that better predict localized deformation and thus the influence of microstructure on macroscopic properties. These models are particularly relevant for high-performance materials used in aerospace, where precise material behavior predictions are critical for safety and performance.
Beyond scientific and industrial applications, this research has significant societal relevance. By enabling more accurate material simulations, this work contributes to reducing material waste and experimental costs, aligning with global efforts toward resource efficiency and environmental sustainability.
TEAM
