Physics-Informed Artificial Neural Network Approach for Axial Compression Buckling Analysis of Thin-Walled Cylinder

Robust Design Of Imperfection Sensitive Thin-Walled Shells Under Axial Compression, Bending Or External Pressure Draft

(2019) H.N.R. Wagner et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

On the role of localizations in buckling of axially compressed cylinders

(2019) R. M. J. Groh et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Local buckling of axially compressed cylindrical shells with different boundary conditions

(2019) A. Evkin et al.   THIN-WALLED STRUCTURES

Buckling analysis of an imperfection-insensitive hybrid composite cylinder under axial compression – numerical simulation, destructive and non-destructive experimental testing

(2019) H.N.R. Wagner et al.   COMPOSITE STRUCTURES

Initial failure strength prediction of woven composites using a new yarn failure criterion constructed by deep learning

(2019) Xin Liu et al.   COMPOSITE STRUCTURES

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

Physics-informed machine learning approach for augmenting turbulence models: A comprehensive framework

(2018) Jin-Long Wu et al.   Physical Review Fluids

Turbulence Modeling in the Age of Data

(2018) Karthik Duraisamy et al.   Annual Review of Fluid Mechanics

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Artificial neural network prediction of buckling load of thin cylindrical shells under axial compression

(2017) Zia ul Rehman Tahir et al.   ENGINEERING STRUCTURES

Energy barrier as a criterion for stability estimation of spherical shell under uniform external pressure

(2017) Alexander Yu. Evkin et al.   INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES

Physics-informed machine learning approach for reconstructing Reynolds stress modeling discrepancies based on DNS data

(2017) Jian-Xun Wang et al.   Physical Review Fluids

Advances in Shell Buckling: Theory and Experiments

(2015) J. Michael T. Thompson   INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS

Geometric imperfections and lower-bound methods used to calculate knock-down factors for axially compressed composite cylindrical shells

(2013) Saullo G.P. Castro et al.   THIN-WALLED STRUCTURES

Knockdown factors for buckling of cylindrical and spherical shells subject to reduced biaxial membrane stress

(2010) John W. Hutchinson   INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES