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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
21 - 30 of 121
- Bounding imprecise failure probabilities in structural mechanics based on maximum standard deviation(2023)
Authors: Matthias Faes
- Global failure probability function estimation based on an adaptive strategy and combination algorithm(2023)
Authors: Matthias Faes
- First-passage probability estimation of high-dimensional nonlinear stochastic dynamic systems by a fractional moments-based mixture distribution approach(2023)
Authors: Matthias Faes
- Robust design optimisation under lack-of-knowledge uncertainty(2023)
Authors: Koen van Mierlo, Augustin Persoons, Matthias Faes, David Moens
- Application of interval field method to the stability analysis of slopes in presence of uncertainties(2023)
Authors: Matthias Faes
- Sample regeneration algorithm for structural failure probability function estimation(2023)
Authors: Matthias Faes
- Bayesian parameter estimation of ligament properties based on tibio-femoral kinematics during squatting(2023)
Authors: Laura Bartsoen, Matthias Faes, David Moens, Ilse Jonkers, Jos Vander Sloten
- Application of Interval Field Method to the Stability Analysis of Slopes in the Presence of Uncertainties(2023)
Authors: Matthias Faes
Pages: 287 - 297 - Probabilistic planning for ligament-balanced TKA—Identification of critical ligament properties(2022)
Authors: Matthias Faes, David Moens, Ilse Jonkers, Jos Vander Sloten
- Structural reliability analysis: A Bayesian perspective(2022)
Authors: Matthias Faes
Linked dataset
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