Graph neural networks for simulating crack coalescence and propagation in brittle materials

Deep learning model to predict complex stress and strain fields in hierarchical composites

(2021) Zhenze Yang et al.   Science Advances

Deep learning model to predict fracture mechanisms of graphene

(2021) Andrew J. Lew et al.   npj 2D Materials and Applications

Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images

(2021) Roberto Perera et al.   COMPUTATIONAL MATERIALS SCIENCE

A phase field and deep-learning based approach for accurate prediction of structural residual useful life

(2021) S.Z. Feng et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A comparative accuracy and convergence study of eigenerosion and phase-field models of fracture

(2021) A. Pandolfi et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Deep autoencoders for physics-constrained data-driven nonlinear materials modeling

(2021) Xiaolong He et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A nonlocal physics-informed deep learning framework using the peridynamic differential operator

(2021) Ehsan Haghighat et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Surrogate modeling of elasto-plastic problems via long short-term memory neural networks and proper orthogonal decomposition

(2021) Sunyoung Im et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A machine learning approach to fracture mechanics problems

(2020) Xing Liu et al.   ACTA MATERIALIA

Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering

(2020) Sourav Saha et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Simulation of Fracture Coalescence in Granite via the Combined Finite–Discrete Element Method

(2019) Bryan Euser et al.   ROCK MECHANICS AND ROCK ENGINEERING

Discrete and Phase Field Methods for Linear Elastic Fracture Mechanics: A Comparative Study and State-of-the-Art Review

(2019) Adrian Egger et al.   Applied Sciences-Basel

Equivalent method of evaluating mechanical properties of perforated Ni-based single crystal plates using artificial neural networks

(2019) Yamin Zhang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

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

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

Critical remarks to cohesive zone modeling for three-dimensional elastoplastic fatigue crack propagation

(2018) Huang Yuan et al.   ENGINEERING FRACTURE MECHANICS

Minimum energy multiple crack propagation. Part III: XFEM computer implementation and applications

(2018) Danas Sutula et al.   ENGINEERING FRACTURE MECHANICS

Minimum energy multiple crack propagation. Part-II: Discrete solution with XFEM

(2018) Danas Sutula et al.   ENGINEERING FRACTURE MECHANICS

Minimum energy multiple crack propagation. Part I: Theory and state of the art review

(2018) Danas Sutula et al.   ENGINEERING FRACTURE MECHANICS

A review of the scaled boundary finite element method for two-dimensional linear elastic fracture mechanics

(2018) Chongmin Song et al.   ENGINEERING FRACTURE MECHANICS

Meshfree Methods: A Comprehensive Review of Applications

(2018) Sahil Garg et al.   International Journal of Computational Methods

Computational fracture mechanics: An overview from early efforts to recent achievements

(2018) Aleksandar Sedmak   FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES

Applied machine learning to predict stress hotspots I: Face centered cubic materials

(2018) Ankita Mangal et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Applied Machine Learning to Predict Stress Hotspots II: Hexagonal close packed materials

(2018) Ankita Mangal et al.   INTERNATIONAL JOURNAL OF PLASTICITY

A review of the extended finite element method on macrocrack and microcrack growth simulations

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

Reduced-order modeling through machine learning and graph-theoretic approaches for brittle fracture applications

(2018) Abigail Hunter et al.   COMPUTATIONAL MATERIALS SCIENCE

A novel progressive learning technique for multi-class classification

(2016) Rajasekar Venkatesan et al.   NEUROCOMPUTING

A phase-field model for ductile fracture at finite strains and its experimental verification

(2015) Marreddy Ambati et al.   COMPUTATIONAL MECHANICS

A review on phase-field models of brittle fracture and a new fast hybrid formulation

(2014) Marreddy Ambati et al.   COMPUTATIONAL MECHANICS

Cohesive Zone Models: A Critical Review of Traction-Separation Relationships Across Fracture Surfaces

(2013) Kyoungsoo Park et al.   Applied Mechanics Reviews

Domain integral formulation for 3-D curved and non-planar cracks with the extended finite element method

(2013) Vicente F. González-Albuixech et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Improved Incremental J-Integral Equations for Determining Crack Growth Resistance Curves

(2012) Xian-Kui Zhu   JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME

Covariance matrix adaptation evolution strategy based design of centralized PID controller

(2010) M. Willjuice Iruthayarajan et al.   EXPERT SYSTEMS WITH APPLICATIONS

The Graph Neural Network Model

(2008) F. Scarselli et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS