Rule-based surrogate models are an effective and interpretable way to approximate a Deep Neural Network’s (DNN) decision boundaries, allowing humans easily understand deep learning models. Current state-of-the-art decompositional methods, which those that consider the DNN’s latent space extract more exact rule sets, manage derive sets at high accuracy. However, they a) do not guarantee model ha...

One of the yet unresolved engineering problems is forecasting the creep lives of weldment in a pragmatic way with sufficient accuracy. There are number of obstacles to circumvent including: complex material behavior, lack of accurate knowledge about the creep material behavior specially about the heat affected zones (HAZ),accurate and multi-axial creep damage models, etc. In general, creep life...

Commercial finite element software follow cautiously the numerical methods developed by scientific community. Even though phase-field method is not a default option in Abaqus, code proposes unique way to implement and test complex, extraneous models. In last five years, fracture models Abaqus have gained unbelievable popularity among scientists engineers alike. However, most implementations are...