Machine learning-based prediction of fracture toughness and path in the presence of micro-defects

A comprehensive investigation on macro–micro crack interactions in functionally graded materials using ordinary-state based peridynamics

(2022) M. Ozdemir et al.   COMPOSITE STRUCTURES

A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials

(2022) Somdatta Goswami et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Deep learning method for predicting the strengths of microcracked brittle materials

(2022) Bo-Wen Xu et al.   ENGINEERING FRACTURE MECHANICS

Theoretical modeling of toughening mechanisms in the CrMnFeCoNi high-entropy alloy at room temperature

(2022) Xiaotao Li et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Deep learning-based planar crack damage evaluation using convolutional neural networks

(2021) X.Y. Long et al.   ENGINEERING FRACTURE MECHANICS

Microscopic and macroscopic analyses of the interaction mechanism between defect growth and dislocation emission in single‐crystal aluminum

(2021) Xiaotao Li et al.   FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES

A new idea of modeling shear band in metallic glass based on the concept of distributed dislocation

(2021) Xiaotao Li et al.   JOURNAL OF NON-CRYSTALLINE SOLIDS

A machine learning approach to fracture mechanics problems

(2020) Xing Liu et al.   ACTA MATERIALIA

Defects in additive manufactured metals and their effect on fatigue performance: A state-of-the-art review

(2020) Niloofar Sanaei et al.   PROGRESS IN MATERIALS SCIENCE

Effect of a Micro-crack on the Edge Macro-crack Propagation Rate and Path Under Mixed Loads

(2019) Xiaotao Li et al.   ACTA MECHANICA SOLIDA SINICA

3D printing of Aluminium alloys: Additive Manufacturing of Aluminium alloys using selective laser melting

(2019) Nesma T. Aboulkhair et al.   PROGRESS IN MATERIALS SCIENCE

On the exceptional damage-tolerance of gradient metallic materials

(2019) Ruqing Cao et al.   Materials Today

Phase field fracture modelling using quasi-Newton methods and a new adaptive step scheme

(2019) Philip K. Kristensen et al.   THEORETICAL AND APPLIED FRACTURE MECHANICS

Predictive modeling of dynamic fracture growth in brittle materials with machine learning

(2018) Bryan A. Moore et al.   COMPUTATIONAL MATERIALS SCIENCE

Crack nucleation in variational phase-field models of brittle fracture

(2018) E. Tanné et al.   JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS

Effect of a micro-crack on the kinked macro-crack

(2018) Xiaotao Li et al.   THEORETICAL AND APPLIED FRACTURE MECHANICS

Influence of a micro-crack on the finite macro-crack

(2017) Xiaotao Li et al.   ENGINEERING FRACTURE MECHANICS

A fracture-resistant high-entropy alloy for cryogenic applications

(2014) B. Gludovatz et al.   SCIENCE

Multiple random crack propagation using a boundary element formulation

(2010) Edson Denner Leonel et al.   ENGINEERING FRACTURE MECHANICS

The Variational Approach to Fracture

(2008) Blaise Bourdin et al.   JOURNAL OF ELASTICITY