A physics-informed neural network for modeling fracture without gradient damage: Formulation, application, and assessment
Aditya Konale, Vikas Srivastava
Topics & Concepts
Finite element methodRobustness (evolution)Artificial neural networkComputer scienceFracture (geology)Boundary value problemCollocation (remote sensing)ViscoplasticityApplied mathematicsDamage mechanicsGradient methodPartial differential equationBenchmark (surveying)Representation (politics)Numerical analysisComputationConjugate gradient methodMathematical optimizationMinificationBoundary (topology)Regularization (linguistics)Elasticity (physics)Fracture mechanicsBoundary element methodFinite strain theoryWork (physics)AlgorithmComputational modelBackpropagationOptimization problemModel Reduction and Neural NetworksNumerical methods in engineeringNonlocal and gradient elasticity in micro/nano structures