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 …

A phase-field formulation for dynamic cohesive fracture

RJM Geelen, Y Liu, T Hu, MR Tupek… - Computer Methods in …, 2019 - Elsevier
We extend a phase-field/gradient damage formulation for cohesive fracture to the dynamic
case. The model is characterized by a regularized fracture energy that is linear in the …

Resource allocation methodology based on object-oriented discrete event simulation: A production logistics system case study

G Li, S Yang, Z Xu, J Wang, Z Ren, G Li - CIRP Journal of Manufacturing …, 2020 - Elsevier
Resource allocation is always a challenge especially in complicate and uncertain
production logistics systems. Production logistics systems, as integrated production and …

Probabilistic fatigue model for cast alloys of aero engine applications

G Narayanan - International Journal of Structural Integrity, 2020 - emerald.com
Probabilistic fatigue model for cast alloys of aero engine applications | Emerald Insight Books
and journals Case studies Expert Briefings Open Access Publish with us Advanced search …

[HTML][HTML] Non-destructive strength prediction of composite laminates utilizing deep learning and the stochastic finite element methods

C Nastos, P Komninos, D Zarouchas - Composite Structures, 2023 - Elsevier
A hybrid methodology based on numerical and non-destructive experimental schemes,
which is able to predict the structural level strength of composite laminates is proposed on …

An interval finite element method for the analysis of structures with spatially varying uncertainties

A Sofi, E Romeo, O Barrera, A Cocks - Advances in Engineering Software, 2019 - Elsevier
Finite element analysis of linear-elastic structures with spatially varying uncertain properties
is addressed within the framework of the interval model of uncertainty. Resorting to a …

Uncertainty quantification of spatially uncorrelated loads with a reduced-order stochastic isogeometric method

C Ding, KK Tamma, H Lian, Y Ding, TJ Dodwell… - Computational …, 2021 - Springer
This work models spatially uncorrelated (independent) load uncertainty and develops a
reduced-order Monte Carlo stochastic isogeometric method to quantify the effect of the load …

[HTML][HTML] Probabilistic failure analysis of quasi-isotropic CFRP structures utilizing the stochastic finite element and the Karhunen–Loève expansion methods

C Nastos, D Zarouchas - Composites Part B: Engineering, 2022 - Elsevier
The accuracy of structural analysis in composite structures depends on the proper
estimation of the uncertainties mainly related to the mechanical properties of the constituent …

Random fields representation over manifolds via isometric feature mapping‐based dimension reduction

DC Feng, YP Liang, X Ren, J Li - Computer‐Aided Civil and …, 2022 - Wiley Online Library
Generating random fields over irregular geometries (eg, two‐dimensional (2D) manifolds
embedded in the three‐dimensional (3D) Euclidean space) is a great challenge because …

Random field simulation over curved surfaces: Applications to computational structural mechanics

C Scarth, S Adhikari, PH Cabral, GHC Silva… - Computer Methods in …, 2019 - Elsevier
It is important to account for inherent variability in the material properties in the design and
analysis of engineering structures. These properties are typically not homogeneous, but vary …