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Researcher
David Moens
- 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 - Production Engineering, Machine Design and Automation (PMA) Section (Division)
Member
From1 Oct 2010 → 30 Sep 2011
Projects
1 - 10 of 36
- Economic Manufacturing Process of Recyclable Composite Materials for Durable Hydrogen StorageFrom1 Jan 2024 → TodayFunding: Horizon Europe - Digital, Industry and Space
- Real-time monitoring of the remaining useful life of an electronic system based on digital twin conceptsFrom24 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Epistemic Uncertainty Quantification in Physical Model using Machine LearningFrom26 Jan 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Automated tensile tester for the characterisation of the cross-section and tensile behaviour of synthetic and natural fibresFrom1 Jan 2023 → TodayFunding: BOF - scientific equipment program
- Neural Networks under Epistemic Uncertainty for Robust PredictionFrom5 Nov 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- 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
- Robust and reliable simulation of resistance pressure welding processesFrom8 Oct 2021 → TodayFunding: FWO Strategic Basic Research Grant
- A grey-box approach for robust resistance pressure welding monitoringFrom1 Oct 2021 → TodayFunding: IOF - technology concept exploration
- Uncertainty in Artificial IntelligenceFrom30 Sep 2021 → 2 Jun 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
- Thermal modelling and online heat transfer estimation using active learning grey-box approachesFrom21 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
Publications
31 - 40 of 213
- Computationally efficient optimization method to quantify the required surgical accuracy for a ligament balanced TKA(2021)
Authors: Laura Bartsoen, Matthias Faes, Mariska Wesseling, David Moens, Ilse Jonkers, Jos Vander Sloten
Pages: 3273 - 3280 - Linear optimisation under advanced uncertainty using imprecise decision theory(2021)
Authors: Keivan Shariatmadar, David Moens, Hans Hallez
- A Review of Interval Field Approaches for Uncertainty Quantification in Numerical Models(2021)
Authors: Matthias Faes, Dirk Vandepitte, David Moens
Pages: 95 - 110 - Special Section: Nonprobabilistic and Hybrid Approaches for Uncertainty Quantification and Reliability Analysis(2021)
Authors: Matthias Faes, David Moens
- Local explicit interval fields for non-stationary uncertainty modelling in finite element models(2021)
Authors: Robin Callens, David Moens, Matthias Faes
- Identification of imprecision in data using ε-contamination advanced uncertainty model(2021)
Authors: Keivan Shariatmadar, Hans Hallez, David Moens
Pages: 157 - 172Number of pages: 16 - Interval Analysis Using Multilevel Quasi-Monte Carlo(2021)
Authors: Robin Callens, Matthias Faes, David Moens
Pages: 53 - 67Number of pages: 14 - Operator norm theory as an efficient tool to propagate hybrid uncertainties and calculate imprecise probabilities(2021)
Authors: Matthias Faes, David Moens
- Imprecise random field analysis for non-linear concrete damage analysis(2021)
Authors: Matthias Faes, David Moens
- Influence of thermo-mechanical loads on the lifetime of plastic inserts for injection moulds produced via additive manufacturing(2021)
Authors: Lars Bogaerts, Matthias Faes, David Moens
Pages: 109 - 114
Linked dataset
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