The present study proposes a two-stage Bi-Fidelity Deep Neural Network surrogate model to
quantify the uncertainty of structural analysis using low-fidelity data samples added to the …

Mode II fracture testing of quasi-brittle materials is a challenging task as mode I fracture and
tensile microcracking are normally involved in this situation. In this study, a double edge …

This paper presents a multiscale computational framework able to resolve localized defects
and features such as cracks and welds in large structures. It couples Abaqus models and 3 …

Lately, several machine learning (ML) techniques are emerging as alternative and efficient
ways to predict how component properties influence the properties of the final mixture. In the …

This paper introduces a high-order multiscale Generalized/eXtended Finite Element Method
(GFEM) tailored for the solution of structural dynamics and wave propagation problems …

This paper formulated and implemented a novel local continuum damage model to be used
with a continuous or a continuous-discontinuous strategy to simulate crack growth in quasi …

A multiscale computational framework to capture stress concentrations and localized
nonlinearity in composite structures is presented. An enriched approximation space …

This paper presents a novel methodology for the solution of nonlinear problems using the
Stable Generalized/eXtended Finite Element Method (SGFEM) in two-scale approach. The …

Some of the key features of the isogeometric analysis, IGA, are the capacity of exactly
representing the problem geometry, the use of the same basis functions to describe the …

Abstract Using Galerkin Finite Volume method, a 2D adaptive algorithm is developed for
crack propagation simulation of concrete structures under mixed mode loading. The matrix …