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Researcher
David Moens
- Disciplines:Design theories and methods, Mechanics
Affiliations
- Mechanical Engineering Technology, De Nayer (Sint-Katelijne-Waver) Campus (Technology cluster)
Responsible
From1 Mar 2014 → Today - Mechanical Engineering Technology, De Nayer (Sint-Katelijne-Waver) Campus (Technology cluster)
Member
From1 Oct 2013 → Today - Production Engineering, Machine Design and Automation (PMA) Section (Division)
Member
From1 Oct 2010 → 30 Sep 2011
Projects
1 - 10 of 17 results
- Uncertainty Quantification with Multivariate Field ConceptsFrom15 Jan 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- RoMuPAM: Robotized Multi-axis Plastic Additive ManufacturingFrom1 Dec 2018 → TodayFunding: IWT / VLAIO - TETRA fund, Own budget, for example: patrimony, inscription fees, gifts
- GOODWIN: Grey-box approaches for digital twins of complex mechanical structures and systems under uncertainty.From15 Oct 2018 → TodayFunding: BOF - Bilateral scientific cooperation
- Generalised inverse uncertainty quantification in numerical modelsFrom1 Oct 2018 → TodayFunding: FWO fellowships
- High Dimensional Interval Fields: spatial uncertainty modeling for mechanical reliability (HiDIF)From1 Jan 2018 → TodayFunding: FWO research project
- Development and validation of high-definition numerical methods for mechanical design under manufacturing process variationFrom7 Nov 2017 → 6 May 2019Funding: BOF - Doctoral projects
- Spatial uncertainty quantification in high-fidelity finite element modelsFrom1 Oct 2017 → 30 Sep 2019Funding: IOF - Industrial Research Fund
- Additive Manufacturing of Plastic MouldsFrom1 Feb 2017 → 31 Jan 2019Funding: IWT / VLAIO - TETRA fund
- Experimental testing and heat transfer analysis of a novel iris-driven solar cavity receiverFrom1 Oct 2015 → 1 Oct 2019Funding: BOF - Doctoral projects
- Additive manufacturing of polymers.From1 Apr 2014 → 30 Jun 2016Funding: IWT / VLAIO - TETRA fund
Publications
1 - 10 of 147 results
- Recent Trends in the Modeling and Quantification of Non-probabilistic Uncertainty(2020)Journal: Archives of Computational Methods in EngineeringISSN: 1134-3060Issue: 3Volume: 27
Authors: Matthias Faes, David Moens
Pages: 1 - 39 - Systematic approach for design optimization of a 3 kW solar cavity receiver via multiphysics analysis(2020)Journal: Solar EnergyISSN: 0038-092XVolume: 206
Authors: Cédric Ophoff, Mostafa Abuseada, Nesrin Ozalp, David Moens
Pages: 420 - 435 - Robust uncertainty quantification in structural dynamics under scarse experimental modal data: A Bayesian-interval approach(2020)Journal: Journal of Sound and VibrationISSN: 0022-460XVolume: 467
Authors: Maurice Imholz, Matthias Faes, Dirk Vandepitte, David Moens
Number of pages: 17 - Adaptive sparse grid approximation for high dimensional interval field construction(2020)Book: AIAA Scitech 2020 Forum
Authors: Matthias Faes, Robin Callens, David Moens
Number of pages: 11 - On auto-and cross-interdependence in interval field finite element analysis(2020)Journal: International Journal for Numerical Methods in EngineeringISSN: 0029-5981Issue: 9Volume: 121
Authors: Matthias Faes, David Moens
Number of pages: 18 - A fast inverse approach for the quantification of set-theoretical uncertainty(2019)Book: SSCI2019 Proceedings
Authors: Lars Bogaerts, Matthias Faes, David Moens
Pages: 767 - 774Number of pages: 8 - On the robust estimation of small failure probabilities for strong non-linear models(2019)Journal: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical EngineeringISSN: 2332-9017Issue: 4Volume: 5
Authors: Matthias Faes, Jonathan Sadeghi, Matteo Broggi, Marco De Angelis, Edoardo Patelli, Michael Beer, David Moens
Pages: 1 - 34 - Imprecise random field analysis with parametrized kernel functions(2019)Journal: Mechanical Systems and Signal ProcessingISSN: 0888-3270Volume: 134
Authors: Matthias Faes, David Moens
Number of pages: 17 - Robust efficient global optimisation via adaptive surrogate refinement(2019)Journal: Proceedings in Applied Mathematics and MechanicsISSN: 1617-7061Volume: 19
Authors: Noémie Le Carrer, David Moens, Matthias Faes
- Hybrid spatial uncertainty analysis for the estimation of imprecise failure probabilities in Laser Sintered PA-12 parts(2019)Journal: Computers & Mathematics with ApplicationsISSN: 0898-1221Issue: 7Volume: 78
Authors: Matthias Faes, Sabyasachi Ghosh Dastidar, David Moens
Pages: 2395 - 2406