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

Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning

(2020) Chun‐Teh Chen et al.   Advanced Science

An intelligent nonlinear meta element for elastoplastic continua: deep learning using a new Time-distributed Residual U-Net architecture

(2020) Arnd Koeppe et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A recurrent neural network-accelerated multi-scale model for elasto-plastic heterogeneous materials subjected to random cyclic and non-proportional loading paths

(2020) Ling Wu et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Physics-informed multi-LSTM networks for metamodeling of nonlinear structures

(2020) Ruiyang Zhang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

An efficient Monte Carlo strategy for elasto-plastic structures based on recurrent neural networks

(2019) Arnd Koeppe et al.   ACTA MECHANICA

Reduction process based on proper orthogonal decomposition for dual formulation of dynamic substructures

(2019) Sunyoung Im et al.   COMPUTATIONAL MECHANICS

Derivation of heterogeneous material laws via data-driven principal component expansions

(2019) Hang Yang et al.   COMPUTATIONAL MECHANICS

Deep long short-term memory networks for nonlinear structural seismic response prediction

(2019) Ruiyang Zhang et al.   COMPUTERS & STRUCTURES

An artificial neural network framework for reduced order modeling of transient flows

(2019) Omer San et al.   Communications in Nonlinear Science and Numerical Simulation

An artificial neural network-differential evolution approach for optimization of bidirectional functionally graded beams

(2019) Tam T. Truong et al.   COMPOSITE STRUCTURES

Accelerating multiscale finite element simulations of history-dependent materials using a recurrent neural network

(2019) F. Ghavamian et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Machine learning aided stochastic elastoplastic analysis

(2019) Yuan Feng 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

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Data-assisted reduced-order modeling of extreme events in complex dynamical systems

(2018) Zhong Yi Wan et al.   PLoS One

A data-driven computational homogenization method based on neural networks for the nonlinear anisotropic electrical response of graphene/polymer nanocomposites

(2018) Xiaoxin Lu et al.   COMPUTATIONAL MECHANICS

Efficient methodologies for reliability-based design optimization of composite panels

(2016) J. Díaz et al.   ADVANCES IN ENGINEERING SOFTWARE

Model Order Reduction and domain decomposition strategies for the solution of the dynamic elastic–plastic structural problem

(2015) A. Corigliano et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Metamodeling of dynamic nonlinear structural systems through polynomial chaos NARX models

(2015) M.D. Spiridonakos et al.   COMPUTERS & STRUCTURES

Computational homogenization of nonlinear elastic materials using neural networks

(2015) B. A. Le et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Model reduction in elastoplasticity: proper orthogonal decomposition combined with adaptive sub-structuring

(2014) Annika Radermacher et al.   COMPUTATIONAL MECHANICS

Nonlinear model order reduction based on local reduced-order bases

(2012) David Amsallem et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

An effective computational tool for parametric studies and identification problems in materials mechanics

(2011) Gabriella Bolzon et al.   COMPUTATIONAL MECHANICS

Multi-level A Priori Hyper-Reduction of mechanical models involving internal variables

(2009) D. Ryckelynck et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Neural networks as material models within a multiscale approach

(2009) Jörg F. Unger et al.   COMPUTERS & STRUCTURES

Data-mining assisted structural optimization using the evolutionary algorithm and neural network

(2009) Ting-Yu Chen et al.   ENGINEERING OPTIMIZATION

Kriging metamodeling in simulation: A review

(2007) Jack P.C. Kleijnen   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH