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Researcher
Matthias Faes
- Disciplines:Other engineering and technology
Affiliations
- Mecha(tro)nic System Dynamics (LMSD) (Division)
Member
From1 Aug 2020 → Today - Manufacturing Processes and Systems (MaPS) (Division)
Member
From1 Aug 2020 → 31 Jul 2020 - Mechanical Engineering Technology, De Nayer (Sint-Katelijne-Waver) Campus (Technology cluster)
Member
From1 Oct 2013 → 31 Jul 2020
Projects
1 - 8 of 8
- Digital Image Correlation enriched quantification of polymorphic random field uncertainty in finite-element modelsFrom28 Oct 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- A grey-box approach for robust resistance pressure welding monitoringFrom1 Oct 2021 → TodayFunding: IOF - technology concept exploration
- Thermal modelling and online heat transfer estimation using active learning grey-box approachesFrom21 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Reliability-based topology optimization of continuous fibre compositesFrom15 Jan 2020 → TodayFunding: BOF - doctoral mandates, FWO Strategic Basic Research Grant
- From full-field data to spatial uncertaintyFrom1 Sep 2019 → TodayFunding: BOF - doctoral mandates, FWO Strategic Basic Research Grant
- GOODWIN: Grey-box approaches for digital twins of complex mechanical structures and systems under uncertainty.From15 Oct 2018 → 14 Oct 2020Funding: BOF - various
- Generalised inverse uncertainty quantification in numerical modelsFrom1 Oct 2018 → 1 Feb 2022Funding: FWO fellowships
- Interval methods for the identification and quantification of inhomogeneous uncertainty in Finite Element modelsFrom1 Dec 2013 → 27 Nov 2017Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 121
- Line sampling for time-variant failure probability estimation using an adaptive combination approach(2024)
Authors: Matthias Faes
- Operator norm-based determination of failure probability of nonlinear oscillators with fractional derivative elements subject to imprecise stationary Gaussian loads(2024)
Authors: Matthias Faes
- Certified interval model updating using scenario optimization(2024)
Authors: Robin Callens, David Moens, Matthias Faes
Number of pages: 11 - A topology-based in-plane filtering technique for the combined topology and discrete fiber orientation optimization(2023)
Authors: Konstantinos Ypsilantis, Matthias Faes, Jan Ivens, David Moens
- Collaborative and Adaptive Bayesian Optimization for bounding variances and probabilities under hybrid uncertainties(2023)
Authors: Matthias Faes
- Effect of uncertainty of material parameters on stress triaxiality and Lode angle in finite elasto-plasticity-A variance-based global sensitivity analysis(2023)
Authors: Matthias Faes
- Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation(2023)
Authors: Ben Van Bavel, Yinglun Zhao, Matthias Faes, Dirk Vandepitte, David Moens
Pages: 1 - 9 - Augmented first-order reliability method for estimating fuzzy failure probabilities(2023)
Authors: Matthias Faes
- Certified interval model updating using scenario optimisation(2023)
Authors: Robin Callens, David Moens, Matthias Faes
Pages: 408 - 418Number of pages: 11 - Structural reliability analysis by line sampling: A Bayesian active learning treatment(2023)
Authors: Matthias Faes
Linked dataset
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