A review on the multi-scale simulation of Z-pinned composite laminates

J Cheng, Y Xu, W Zhang, W Liu - Composite Structures, 2022 - Elsevier
Z-pinned composite laminates have been increasingly applied to aircraft and other
lightweight products. This paper reviews published multi-scale research into polymer …

Quantification of model uncertainty: Calibration, model discrepancy, and identifiability

PD Arendt, DW Apley, W Chen - 2012 - asmedigitalcollection.asme.org
To use predictive models in engineering design of physical systems, one should first
quantify the model uncertainty via model updating techniques employing both simulation …

An overview on uncertainty quantification and probabilistic learning on manifolds in multiscale mechanics of materials

C Soize - Mathematics and Mechanics of Complex Systems, 2023 - msp.org
An overview of the author's works, many of which were carried out in collaboration, is
presented. The first part concerns the quantification of uncertainties for complex engineering …

Computational microstructure characterization and reconstruction for stochastic multiscale material design

Y Liu, MS Greene, W Chen, DA Dikin, WK Liu - Computer-Aided Design, 2013 - Elsevier
There are two critical components of connecting material and structural design in a
multiscale design process:(1) relate material processing parameters to the microstructure …

Uncertainty modelling and multiscale simulation of woven composite twisted structure

B Wang, G Fang, H Wang, J Liang, F Dai… - Composites Science and …, 2022 - Elsevier
The woven composite twisted structure under cantilever load is studied using experimental
and multiscale numerical methods. The uncertain geometry parameters inside the twisted …

[HTML][HTML] Fatigue probability model for AWJ-cut steel including surface roughness and residual stress

G Hultgren, R Mansour, Z Barsoum, M Olsson - Journal of Constructional …, 2021 - Elsevier
An analytical model for the fatigue probability of abrasive waterjet cut high strength steel as
a function of surface roughness, surface residual stress, tensile strength and number of …

A multilevel upscaling method for material characterization of additively manufactured part under uncertainties

RM Gorguluarslan, SI Park… - Journal of …, 2015 - asmedigitalcollection.asme.org
An integrated multiscale modeling framework that incorporates a simulation-based
upscaling technique is developed and implemented for the material characterization of …

Hierarchical design of negative stiffness metamaterials using a bayesian network classifier

J Matthews, T Klatt, C Morris… - Journal of …, 2016 - asmedigitalcollection.asme.org
A set-based approach is presented for exploring multilevel design problems. The approach
is applied to design negative stiffness metamaterials with mechanical stiffness and loss …

Stochastic constitutive model of isotropic thin fiber networks based on stochastic volume elements

R Mansour, A Kulachenko, W Chen, M Olsson - Materials, 2019 - mdpi.com
Thin fiber networks are widely represented in nature and can be found in man-made
materials such as paper and packaging. The strength of such materials is an intricate subject …

A PCE-based multiscale framework for the characterization of uncertainties in complex systems

L Mehrez, J Fish, V Aitharaju, WR Rodgers… - Computational …, 2018 - Springer
This paper presents a framework for the modeling and analysis of material systems that
exhibit uncertainties in their constituents at all scales. The framework integrates multiscale …