Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment

S Dey, T Mukhopadhyay, S Adhikari - Composite Structures, 2017 - Elsevier
This paper presents a concise state-of-the-art review along with an exhaustive comparative
investigation on surrogate models for critical comparative assessment of uncertainty in …

Practical application of the stochastic finite element method

JD Arregui-Mena, L Margetts, PM Mummery - Archives of computational …, 2016 - Springer
The stochastic finite element method is an extension of the FEM that considers the
uncertainty of a system that arises through variations in initial conditions, materials or …

Uncertainty quantification in multiscale simulation of woven fiber composites

R Bostanabad, B Liang, J Gao, WK Liu, J Cao… - Computer Methods in …, 2018 - Elsevier
Woven fiber composites have been increasingly employed as light-weight materials in
aerospace, construction, and transportation industries due to their superior properties …

A review on stochastic multiscale analysis for FRP composite structures

XY Zhou, SY Qian, NW Wang, W Xiong, WQ Wu - Composite Structures, 2022 - Elsevier
Fibre reinforced polymer (FRP) composites have been increasingly applied in engineering
structures especially for achieving high demands on structural performance, but they are …

Uncertainty quantification in neural networks by approximate Bayesian computation: Application to fatigue in composite materials

J Fernandez, M Chiachio, J Chiachio, R Munoz… - … Applications of Artificial …, 2022 - Elsevier
Modern machine learning algorithms excel in a great variety of tasks, but at the same time, it
is also known that those complex models need to deal with uncertainty from different …

Neural network assisted multiscale analysis for the elastic properties prediction of 3D braided composites under uncertainty

G Balokas, S Czichon, R Rolfes - Composite Structures, 2018 - Elsevier
The stiffness prediction of textile composites has been studied intensively over the last 20
years. It is the complex yarn architecture that adds exceptional properties but also requires …

[HTML][HTML] Reliability in composites–A selective review and survey of current development

M Chiachio, J Chiachio, G Rus - Composites Part B: Engineering, 2012 - Elsevier
As a response to the rampant increase in research activity within reliability in the past few
decades, and to the lack of a conclusive framework for composite applications, this article …

Mechanical characterization of the tensile properties of glass fiber and its reinforced polymer (GFRP) composite under varying strain rates and temperatures

Y Ou, D Zhu, H Zhang, L Huang, Y Yao, G Li… - Polymers, 2016 - mdpi.com
Unidirectional glass fiber reinforced polymer (GFRP) is tested at four initial strain rates (25,
50, 100 and 200 s− 1) and six temperatures (− 25, 0, 25, 50, 75 and 100° C) on a servo …

An energy-based concept for yielding of multidirectional FRP composite structures using a mesoscale lamina damage model

SS Rahimian Koloor, A Karimzadeh, N Yidris, M Petrů… - Polymers, 2020 - mdpi.com
Composite structures are made of multidirectional (MD) fiber-reinforced polymer (FRP)
composite laminates, which fail due to multiple damages in matrix, interface, and fiber …

[HTML][HTML] A critical reliability evaluation of fibre reinforced composite materials based on probabilistic micro and macro-mechanical analysis

A Shaw, S Sriramula, PD Gosling… - Composites Part B …, 2010 - Elsevier
In probabilistic composite mechanics, uncertainty modelling may be introduced at a
constituent (micro-scale), ply (meso-scale) or component (macro-scale) level. Each of these …