Machine learning methods have the potential to transform imaging techniques and analysis for healthcare applications with automation, making diagnostics treatment more accurate efficient, as well provide mechanistic insights into tissue deformation fracture in physiological pathological conditions. Here we report an exploratory investigation classification prediction of mechanical states cortic...

The problem of concurrent thermal and vibration loading has not been thoroughly studied even though it is common in electronic packaging applications. Here we attempt to address such a problem using a damage mechanics based constitutive model. Damage mechanics constitutive model for eutectic Pb/Sn solder alloys is used to simulate the damage effects of concurrent cyclic thermal loads and vibrat...

Degradation, damage evolution, and fatigue models in the literature for various engineering materials, mostly metals composites, are reviewed. For empirical established under framework of Newtonian mechanics, Gurson–Tvergaard–Needleman (GTN) type model, Johnson-Cook (J-C) microplasticity some other micro-mechanism based models, using irreversible entropy as a metric with an evolution function t...

Damage in metals is mainly the process of the initiation and growth of voids. A formulation for anisotropic damage is established in the framework of the principle of strain equivalence, principle of increment complementary energy equivalence and principle of elastic energy equivalence. This paper presents the development of an anisotropic damage theory. This work is focused on the development ...