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

A physics-constrained data-driven approach based on locally convex reconstruction for noisy database

(2020) Qizhi He et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

SO(3)-invariance of informed-graph-based deep neural network for anisotropic elastoplastic materials

(2020) Yousef Heider et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Variational framework for distance-minimizing method in data-driven computational mechanics

(2020) Lu Trong Khiem Nguyen et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Model-free data-driven computational mechanics enhanced by tensor voting

(2020) Robert Eggersmann et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Neural network based constitutive modeling of nonlinear viscoplastic structural response

(2019) Marcus Stoffel et al.   MECHANICS RESEARCH COMMUNICATIONS

A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics

(2019) Frederic E. Bock et al.   Frontiers in Materials

Model-free data-driven methods in mechanics: material data identification and solvers

(2019) Laurent Stainier et al.   COMPUTATIONAL MECHANICS

Model-Free Data-Driven inelasticity

(2019) R. Eggersmann et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Deep learning predicts path-dependent plasticity

(2019) M. Mozaffar et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Data-Driven Problems in Elasticity

(2018) S. Conti et al.   ARCHIVE FOR RATIONAL MECHANICS AND ANALYSIS

A new reliability-based data-driven approach for noisy experimental data with physical constraints

(2018) Jacobo Ayensa-Jiménez et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A multiscale multi-permeability poroplasticity model linked by recursive homogenizations and deep learning

(2018) Kun Wang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Data-based derivation of material response

(2018) Adrien Leygue et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A data-driven approach to nonlinear elasticity

(2018) Lu Trong Khiem Nguyen et al.   COMPUTERS & STRUCTURES

An investigation of the anisotropic mechanical properties and anatomical structure of porcine atrioventricular heart valves

(2018) Samuel Jett et al.   Journal of the Mechanical Behavior of Biomedical Materials

A deep material network for multiscale topology learning and accelerated nonlinear modeling of heterogeneous materials

(2018) Zeliang Liu et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

An unsupervised data completion method for physically-based data-driven models

(2018) Jacobo Ayensa-Jiménez et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Data-driven computing in dynamics

(2017) T. Kirchdoerfer et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Diffusion nets

(2017) Gal Mishne et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity

(2016) Rubén Ibañez et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Data-driven computational mechanics

(2016) T. Kirchdoerfer et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A topology optimization method for geometrically nonlinear structures with meshless analysis and independent density field interpolation

(2014) Qizhi He et al.   COMPUTATIONAL MECHANICS

What-You-Prescribe-Is-What-You-Get orthotropic hyperelasticity

(2014) Marcos Latorre et al.   COMPUTATIONAL MECHANICS

Artificial Neural Networks in numerical modelling of composites

(2009) M. Lefik et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A model of incompressible isotropic hyperelastic material behavior using spline interpolations of tension-compression test data

(2008) Theodore Sussman et al.   Communications in numerical methods in engineering