Predicting failure progressions of structural materials via deep learning based on void topology
Leslie Ching Ow Tiong, Gunjick Lee, Gyeong Hoon Yi, Seok Su Sohn, Dong-Hun Kim
Topics & Concepts
Void (composites)Materials scienceNondestructive testingPersistent homologyArtificial intelligenceDeep learningUltimate tensile strengthMachine learningComputer scienceTopology (electrical circuits)Structural engineeringAlgorithmComposite materialMathematicsEngineeringMedicineRadiologyCombinatoricsCell Image Analysis TechniquesTopological and Geometric Data AnalysisRock Mechanics and Modeling