A robust unsupervised neural network framework for geometrically nonlinear analysis of inelastic truss structures

Finite strain FE2 analysis with data-driven homogenization using deep neural networks

(2022) Nan Feng et al.   COMPUTERS & STRUCTURES

A novel deep unsupervised learning-based framework for optimization of truss structures

(2022) Hau T. Mai et al.   ENGINEERING WITH COMPUTERS

Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning

(2021) Xiaoying Zhuang et al.   EUROPEAN JOURNAL OF MECHANICS A-SOLIDS

Intelligent step-length adjustment for adaptive path-following in nonlinear structural mechanics based on group method of data handling neural network

(2021) Ali Maghami et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications

(2021) Navid Zobeiry et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Geometrical nonlinear problems of truss beam by base force element method

(2021) Yijiang Peng et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics

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

A physics-guided neural network framework for elastic plates: Comparison of governing equations-based and energy-based approaches

(2021) Wei Li et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Recurrent neural networks as optimal mesh refinement strategies

(2021) Jan Bohn et al.   COMPUTERS & MATHEMATICS WITH APPLICATIONS

Meshless Physics‐Informed Deep Learning Method for Three‐Dimensional Solid Mechanics

(2021) Diab W. Abueidda et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

An improved Artificial Neural Network using Arithmetic Optimization Algorithm for damage assessment in FGM composite plates

(2021) Samir Khatir et al.   COMPOSITE STRUCTURES

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

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

A machine learning-based surrogate model for optimization of truss structures with geometrically nonlinear behavior

(2021) Hau T. Mai et al.   FINITE ELEMENTS IN ANALYSIS AND DESIGN

An adaptive surrogate model to structural reliability analysis using deep neural network

(2021) Qui X. Lieu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Review of nonlinear analysis and modelling of steel and composite structures

(2020) Huu-Tai Thai et al.   International Journal of Structural Stability and Dynamics

The neural particle method – An updated Lagrangian physics informed neural network for computational fluid dynamics

(2020) Henning Wessels et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A data-driven approach based on long short-term memory and hidden Markov model for crack propagation prediction

(2020) Duyen H. Nguyen-Le et al.   ENGINEERING FRACTURE MECHANICS

Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis

(2020) S. Khatir et al.   THEORETICAL AND APPLIED FRACTURE MECHANICS

An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data

(2020) Tam T. Truong et al.   Journal of Building 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

Damage quantification in truss structures by limited sensor-based surrogate model

(2020) Seunghye Lee et al.   APPLIED ACOUSTICS

Smart constitutive laws: Inelastic homogenization through machine learning

(2020) Hernan J. Logarzo et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Prediction of non-linear buckling load of imperfect reticulated shell using modified consistent imperfection and machine learning

(2020) Shaojun Zhu et al.   ENGINEERING STRUCTURES

A novel machine-learning based on the global search techniques using vectorized data for damage detection in structures

(2020) H. Tran-Ngoc et al.   INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE

Efficient Artificial neural networks based on a hybrid metaheuristic optimization algorithm for damage detection in laminated composite structures

(2020) H. Tran-Ngoc et al.   COMPOSITE STRUCTURES

A deep energy method for finite deformation hyperelasticity

(2019) Vien Minh Nguyen-Thanh et al.   EUROPEAN JOURNAL OF MECHANICS A-SOLIDS

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

Enhanced method for the nonlinear structural analysis based on direct energy principles

(2019) Christopher Taube et al.   ENGINEERING STRUCTURES

Machine learning closures for model order reduction of thermal fluids

(2018) Omer San et al.   APPLIED MATHEMATICAL MODELLING

A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis

(2018) Liang Liang et al.   Journal of the Royal Society Interface

Path following techniques for geometrically nonlinear structures based on Multi-point methods

(2018) Ali Maghami et al.   COMPUTERS & STRUCTURES

Multiscale topology optimization using neural network surrogate models

(2018) Daniel A. White et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Analysis of trusses by total potential optimization method coupled with harmony search

(2013) Yusuf Cengiz Toklu et al.   STRUCTURAL ENGINEERING AND MECHANICS

Modeling of thermotransport phenomenon in metal alloys using artificial neural networks

(2012) Seshasai Srinivasan et al.   APPLIED MATHEMATICAL MODELLING

Geometrical nonlinear analysis of thin-walled composite beams using finite element method based on first order shear deformation theory

(2010) Thuc Phuong Vo et al.   ARCHIVE OF APPLIED MECHANICS