Composite material is one of the tailor-made materials that can be manufactured as per the
requirements. The specific need for such materials can be chosen based on the strength of …

Shape memory alloys (SMAs) have unique characteristics, such as the shape memory effect,
which allows them to recover their initial shape after being deformed when stimulated, and …

In this study, we propose a versatile two-scale approach for thermo-viscoelastic analysis of
the curing of composite laminates. Cure-induced residual stresses and part distortion …

The aim of this work is to investigate the coupling of data-driven (DD) computing and model-
driven (MD) computing for the analyses of engineering structures. The data-driven …

In this paper, a data-driven multiscale finite-element method (data-driven FE2) is proposed
using a deep neural network (DNN) and proper orthogonal decomposition (POD) to …

The FE 2 method systematically translates macro kinematic constraints to the underlying
(micro) RVEs and extracts the effective RVE responses to macro continuum in an …

Composite plates are widely used in many engineering fields such as aerospace and
automotive. An accurate and efficient multiscale modeling and simulation strategy is of …

The FE 2 method is a very flexible but computationally expensive tool for multiscale
simulations. In conventional implementations, the microscopic displacements are iteratively …

Direct FE 2, recently proposed by Tan et al.(2020), is a concurrent multilevel modeling
approach, which homogenizes a representative volume element (RVE) to a Cauchy …

This paper aims to propose a data-driven computing algorithm integrated with model
reduction technique to conduct instability analysis of thin composite structures. The data …