D. Moens

发表

A fuzzy finite element procedure for the calculation of uncertain frequency response functions of damped structures: Part 2—Numerical case studies

W. Desmet, H. D. Gersem, D. Moens, 2005 .

Review: Non-probabilistic finite element analysis for parametric uncertainty treatment in applied mechanics: Recent advances

M. Hanss, D. Moens, 2011 .

Analysis of Fracture Toughness and Crack Propagation of Ti6Al4V Produced by Selective Laser Melting

Jean-Pierre Kruth, Paul Sas, David Moens, 2012 .

Interval sensitivity theory and its application to frequency response envelope analysis of uncertain structures

D. Moens, D. Vandepitte, 2007 .

Stochastic identification of composite material properties from limited experimental databases, Part II: Uncertainty modelling

David Moens, Dirk Vandepitte, Loujaine Mehrez, 2012 .

On auto‐ and cross‐interdependence in interval field finite element analysis

Matthias G. R. Faes, D. Moens, 2020, International Journal for Numerical Methods in Engineering.

Local Interval Fields for Spatial Inhomogeneous Uncertainty Modelling

Matthias G. R. Faes, D. Moens, Robin Callens, 2020 .

Identification and quantification of spatial interval uncertainty in numerical models

Matthias G. R. Faes, D. Moens, M. Faes, 2017 .

Identification and quantification of multivariate interval uncertainty in finite element models

Matthias G. R. Faes, D. Moens, D. Vandepitte, 2017 .

An interval finite element approach for the calculation of envelope frequency response functions

D. Moens, D. Vandepitte, 2004 .

Interval fields to represent uncertainty on the output side of a static FE analysis

W. Desmet, D. Moens, D. Vandepitte, 2013 .

Multivariate dependent interval finite element analysis via convex hull pair constructions and the Extended Transformation Method

Matthias G. R. Faes, D. Moens, 2019, Computer Methods in Applied Mechanics and Engineering.

The influence of the lubricant film on the stiffness and damping characteristics of a deep groove ball bearing

P. Sas, D. Moens, Rene Boonen, 2014 .

A survey of non-probabilistic uncertainty treatment in finite element analysis

David Moens, Dirk Vandepitte, D. Moens, 2005 .

MODELING UNCERTAINTY IN THE CONTEXT OF FINITE ELEMENT MODELS WITH DISTANCE-BASED INTERPOLATION

D. Moens, D. Vandepitte, W. Mulder, 2012 .

Fuzzy finite element analysis based on reanalysis technique

Wim Desmet, Laszlo Farkas, David Moens, 2010 .

Interval fields to represent uncertainty on input and output side of a FE analysis

W. Desmet, D. Moens, D. Vandepitte, 2010 .

An efficient response surface based optimisation method for non-deterministic harmonic and transient dynamic analysis

Wim Desmet, David Moens, Dirk Vandepitte, 2009 .

A response surface based optimisation algorithm for the calculation of fuzzy envelope FRFs of models with uncertain properties

Wim Desmet, David Moens, Dirk Vandepitte, 2008 .

Reanalysis-based FEM for fuzzy uncertainty treatment in static structural analysis

W. Desmet, D. Moens, D. Vandepitte, 2008 .

Interval uncertainty quantification in numerical models using dynamic fuzzy finite element analysis

D. Moens, D. Vandepitte, 2007 .

Envelope frequency Response Function Analysis of Mechanical Structures with Uncertain Modal Damping Characteristics

David Moens, Dirk Vandepitte, M. De Munck, 2007 .

Sensitivity analysis of frequency response function envelopes of mechanical structures

D. Moens, D. Vandepitte, 2006 .

Fuzzy Finite Element Method for Frequency Response Function Analysis of Uncertain Structures

David Moens, Dirk Vandepitte, D. Moens, 2002 .

A validation study of a stochastic representation of composite material properties from limited experimental data

David Moens, Dirk Vandepitte, Loujaine Mehrez, 2010 .

Variability, heterogeneity, and anisotropy in the quasi‐static response of laser sintered PA12 components

Yu Wang, D. Moens, P. Lava, 2017 .

Identification and quantification of spatial variability in the elastostatic properties of additively manufactured components

Matthias G. R. Faes, D. Moens, 2017 .

Transient landing dynamics analysis for a lunar lander with random and interval fields

Matthias G. R. Faes, D. Moens, Zhaoyue Chen, 2020 .

On the difference in material structure and fatigue properties of nylon specimens produced by injection molding and selective laser sintering

Jean-Pierre Kruth, Paul Sas, David Moens, 2013 .

On the influence of inter-layer time and energy density on selected critical-to-quality properties of PA12 parts produced via laser sintering

Matthias G. R. Faes, D. Moens, W. Dewulf, 2017 .

Propagation of variances of FRFs thrugh FRF-based coupling calculations

L. Hermans, P. Sas, D. Moens, 2002 .

A numerical study on particle tracking and heat transfer enhancement in a solar cavity receiver

D. Moens, Nesrin Ozalp, C. Ophoff, 2020 .

Identification of Imprecision in Data Using -Contamination Advanced Uncertainty Model

D. Moens, H. Hallez, K. Shariatmadar, 2021 .

Inverse Interval Field Quantification via Digital Image Correlation

Matthias G. R. Faes, D. Moens, M. Faes, 2018, Applied Mechanics and Materials.

Recent advances in interval and fuzzy finite element analysis

Wim Desmet, David Moens, Wim Verhaeghe, 2012 .

Measuring the rigid body behaviour of a deep groove ball bearing setup

P. Sas, D. Moens, W. Jacobs, 2012 .

Optimisation strategies for static analysis of structures with fuzzy uncertainties

Laszlo Farkas, David Moens, Dirk Vandepitte, 2006 .

Bayesian parameter estimation of ligament properties based on tibio-femoral kinematics during squatting

Matthias G. R. Faes, I. Jonkers, D. Moens, 2022, Mechanical Systems and Signal Processing.

Interval and fuzzy element analysis of mechanical structures with uncertain parameters

Wim Desmet, David Moens, Dirk Vandepitte, 2004 .

Fuzzy finite elements: combination of Guyan reduction and a new method to solve linear fuzzy system

E. Kerre, G. Deschrijver, D. Moens, 2006 .

Interval and Fuzzy Finite Element Analysis of mechanical structures with uncertain parameters

W. Desmet, H. D. Gersem, D. Moens, 2004 .

Probabilistic planning for ligament-balanced TKA—Identification of critical ligament properties

Matthias G. R. Faes, I. Jonkers, D. Moens, 2022, Frontiers in Bioengineering and Biotechnology.

An introduction to optimization under uncertainty - A short survey

D. Moens, H. Hallez, K. Shariatmadar, 2022, ArXiv.

Variability in the mechanical properties of Laser Sintered PA-12 Components

Matthias G. R. Faes, D. Moens, P. Lava, 2015 .

Accelerated multi-axial fatigue experiments: test rig design and first results

P. Sas, D. Moens, B. V. Hooreweder, 2012 .

Application of fuzzy numerical techniques for product performance analysis in the conceptual and preliminary design stage

Wim Desmet, Laszlo Farkas, David Moens, 2008 .

Recent advances in non-probabilistic approaches for non-deterministic dynamic finite element analysis

David Moens, Dirk Vandepitte, D. Moens, 2006 .

The fuzzy FE approach to assess the uncertain static response of an industrial vehicle

Stijn Donders, Wim Desmet, David Moens, 2006 .

A fuzzy finite element procedure for the calculation of uncertain frequency-response functions of damped structures: Part 1—Procedure

David Moens, Dirk Vandepitte, D. Moens, 2005 .

Microstructural characterization of SLS-PA12 specimens under dynamic tension/compression excitation

Paul Sas, David Moens, Rene Boonen, 2010 .

MODELLING OF MATERIAL PARAMETER UNCERTAINTY OF RESONANCE WOOD USED IN VIOLINS USING THE INTERVAL FIELD

D. Moens, D. Vandepitte, M. Imholz, 2017 .

Operator norm theory as an efficient tool to propagate hybrid uncertainties and calculate imprecise probabilities

Michael Beer, David Moens, Marcos A. Valdebenito, 2021 .

Imprecise random field analysis for non-linear concrete damage analysis

David Moens, Udo Nackenhorst, Mona M. Dannert, 2021 .

Bounding the first excursion probability of linear structures subjected to imprecise stochastic loading

Michael Beer, David Moens, Marcos A. Valdebenito, 2020 .

On the Robust Estimation of Small Failure Probabilities for Strong Nonlinear Models

Jonathan Sadeghi, Marco de Angelis, Edoardo Patelli, 2019, ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg.

Reliability Assesment of Uncertain Dynamical Linear Systems-Recent Advances

W. Desmet, G. Schuëller, B. Pluymers, 2008 .

Recent Trends in the Modeling and Quantification of Non-probabilistic Uncertainty

David Moens, Matthias Faes, Matthias G. R. Faes, 2019, Archives of Computational Methods in Engineering.

Recent Trends in the Modeling and Quantification of Non-probabilistic Uncertainty

Matthias G. R. Faes, D. Moens, M. Faes, 2019, Archives of Computational Methods in Engineering.

An approach for the concurrent homogenization-based microstructure type and topology optimization problem

Matthias G. R. Faes, N. Lagaros, D. Moens, 2022, Computers & Structures.

A multivariate interval approach for inverse uncertainty quantification with limited experimental data

Edoardo Patelli, Michael Beer, John E. Mottershead, 2019, Mechanical Systems and Signal Processing.

Influence of measurement data metrics on the identification of Interval Fields for the representation of spatial variability in finite element models

Matthias G. R. Faes, D. Moens, D. Vandepitte, 2016 .

Identification of Interval fields for spatial uncertainty representation in Finite Element models

David Moens, Dirk Vandepitte, Matthias Faes, 2016 .

Analysis of the Effect of Uncertain Clamping Stiffness on the Dynamical Behaviour of Structures Using Interval Field Methods

David Moens, Dirk Vandepitte, Maurice Imholz, 2015 .

DERIVATION OF AN INPUT INTERVAL FIELD DECOMPOSITION BASED ON EXPERT KNOWLEDGE USING LOCALLY DEFINED BASIS FUNCTIONS

David Moens, Dirk Vandepitte, Maurice Imholz, 2015 .

Application of Interval Fields for Uncertainty Modeling in a Geohydrological Case

Wim Desmet, David Moens, Wim Verhaeghe, 2013 .

Uncertainty assessment in random field representations: An interval approach

Wim Desmet, David Moens, Wim Verhaeghe, 2011, 2011 Annual Meeting of the North American Fuzzy Information Processing Society.

Numerical dynamic analysis of uncertain mechanical structures based on interval fields

Wim Desmet, David Moens, Dirk Vandepitte, 2011 .

Quantification of uncertain and variable model parameters in non-deterministic analysis

David Moens, Dirk Vandepitte, D. Moens, 2011 .

Optimisation study of a vehicle bumper subsystem with fuzzy parameters

Stijn Donders, David Moens, Dirk Vandepitte, 2010 .

Assessing Model Form Uncertainty in Fracture Models Using Digital Image Correlation

David Moens, Robin Callens, Matthias Faes, 2020 .

Enriching stochastic model updating metrics: An efficient Bayesian approach using Bray-Curtis distance and an adaptive binning algorithm

M. Valdebenito, D. Moens, Chao Dang, 2022, Mechanical Systems and Signal Processing.

Non-probabilistic approaches for non-deterministic dynamic FE analysis of imprecisely defined structures

David Moens, Dirk Vandepitte, D. Moens, 2004 .

A MATERIAL INTERPOLATION TECHNIQUE BASED ON THE SIMPLEX POLYTOPE

Matthias G. R. Faes, D. Moens, J. Ivens, 2022 .

Interval sensitivity analysis of dynamic response envelopes for uncertain mechanical structures

Dirk Vandepitte, David Moens, D. Moens, 2006 .

Interval methods for lack-of-knowledge uncertainty in crash analysis

Matthias G. R. Faes, D. Moens, F. Duddeck, 2022, Mechanical Systems and Signal Processing.

Copper-aluminium joining by novel locked projection welding process

D. Moens, A. Dejans, Patrick Van Rymenant, 2023, Welding in the World.

Assessment of Uncertainty for Structural and Mechatronics Engineering Applications

Michael Hack, Wim Desmet, Stijn Donders, 2011 .

Reliability-based design optimization of automotive structures

R D'Ippolito, Herman Van der Auweraer, Stijn Donders, 2007 .

Temperature dependence of thermophysical properties of carbon/polyamide410 composite

D. Moens, J. Ivens, Kasahun Niguse Asfew, 2022, Functional Composite Materials.

Investigation of fiber content evaluation methods of carbon fiber reinforced thermoplastic composites

D. Moens, J. Ivens, Kasahun Niguse Asfew, 2023, Journal of Thermoplastic Composite Materials.

Influence of Inter-layer Cooling time on the Quasi-static Properties of ABS Components Produced via Fused Deposition Modelling

David Moens, Eleonora Ferraris, Matthias Faes, 2016 .

Computationally Efficient Optimization Method to Quantify the Required Surgical Accuracy for a Ligament Balanced TKA

Jos Vander Sloten, Ilse Jonkers, David Moens, 2021, IEEE Transactions on Biomedical Engineering.

On the determination of fatigue properties of Ti6Al4V produced by selective laser melting

J. Kruth, P. Sas, D. Moens, 2012 .

Local explicit interval fields for non-stationary uncertainty modelling in finite element models

David Moens, Matthias G.R. Faes, Matthias G. R. Faes, 2021, Computer Methods in Applied Mechanics and Engineering.

An experimental study on temperature control of a solar receiver under transient solar load

Nesrin Ozalp, David Moens, Hamed Abedini Najafabadi, 2019, Solar Energy.

Variability in Composite Materials Properties

David Moens, Dirk Vandepitte, Andy Vanaerschot, 2015 .

A Review of Interval Field Approaches for Uncertainty Quantification in Numerical Models

David Moens, Dirk Vandepitte, Matthias Faes, 2021 .

A three-level non-deterministic modeling methodology for the NVH behavior of rubber connections

Wim Desmet, Paul Sas, David Moens, 2010 .

Low-frequency dynamic analysis of automotive door weather-strip seals

Wim Desmet, Paul Sas, David Moens, 2008 .

Transient response of structures with uncertain structural parameters

David Moens, Andrzej Pownuk, Stefan Vandewalle, 2010 .

Interval and fuzzy dynamic analysis of finite element models with superelements

Wim Desmet, David Moens, Dirk Vandepitte, 2007 .

Dynamic interval analysis of FE models with uncertain substructures

Wim Desmet, David Moens, Dirk Vandepitte, 2006 .

Non-probabilistic Uncertainty Assessment in Finite Element Models with Superelements

Wim Desmet, David Moens, Dirk Vandepitte, 2006 .

An automated procedure for interval and fuzzy finite element analysis

Wim Desmet, David Moens, Dirk Vandepitte, 2004 .

Fuzzy finite element frequency response analysis of structures with uncertain parameters

David Moens, Dirk Vandepitte, D. Moens, 2003 .

Application of the Fuzzy Finite Element Method for dynamic analysis of structures with uncertain boundary conditions

David Moens, Dirk Vandepitte, D. Moens, 2003 .

Interval and fuzzy eigenfrequency analysis of uncertain substructured FE models

W. Desmet, H. D. Gersem, D. Moens, 2007 .

Stochastic identification of composite material properties from limited experimental databases, part I: Experimental database construction

Dirk Vandepitte, Loujaine Mehrez, David Moens, 2012 .

A machine learning approach for efficient and robust resistance spot welding monitoring

D. Moens, A. Dejans, M. Faes, 2023, Welding in the World.

Identification of design parameter variability of honeycomb sandwich beams from a study of limited available experimental dynamic structural response data

David Moens, Dirk Vandepitte, Stijn Debruyne, 2015 .

Day-Ahead Energy and Reserve Dispatch Problem under Non-Probabilistic Uncertainty

Hans Hallez, Lieven Vandevelde, David Moens, 2021, Energies.

Identification and quantification of multivariate possibilistic manufacturing uncertainty in dynamic numerical models

David Moens, Dirk Vandepitte, Matthias Faes, 2017 .

Structural dynamics design validation and optimisation of structures with imprecise parameters using the fuzzy finite element method

Wim Desmet, David Moens, Dirk Vandepitte, 2007 .

Identification of Imprecision in Data Using $$\epsilon $$-Contamination Advanced Uncertainty Model

Hans Hallez, David Moens, Keivan Shariatmadar, 2021 .

On the design of a dedicated sample for inter laboratory comparison of frequency response analysis

Dirk Van Troyen, David Moens, Kristof Harri, 2013 .

Design and Analysis of a Generic Sample for Proficiency Testing of Vibration Test Laboratories

David Moens, Kristof Harri, Filip Nauwelaerts, 2013 .

Design and Simulation of a Novel Multi-Axial Fatigue Test Rig

Paul Sas, David Moens, Rene Boonen, 2012 .

Design and Simulation of a Novel Multi-Axial Fatigue Test Rig

P. Sas, D. Moens, B. Van Hooreweder, 2011, Experimental Mechanics.

Design, instrumentation and control of a force/displacement controlled rotating bending fatigue test rig

P. Sas, D. Moens, R. Boonen, 2015 .

Design and implementation of a fatigue test rig for fluctuating loading in bending and torsion

P. Sas, D. Moens, R. Boonen, 2012 .

Inhomogeneous interval fields based on scaled inverse distance weighting interpolation

David Moens, Matthias G.R. Faes, Conradus van Mierlo, 2021 .

Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?

Edoardo Patelli, John E. Mottershead, David Moens, 2019 .

Dealing with IC package material and design uncertainties using FUZZY finite elements

B. Vandevelde, D. Vandepitte, I. Konstantinou, 2013, 2013 14th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE).

Robust design optimisation under lack-of-knowledge uncertainty

D. Moens, C. van Mierlo, M. Faes, 2023, Computers & Structures.

Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation

D. Moens, D. Vandepitte, Y. Zhao, 2023, Composite Structures.

Adaptive sparse grid approximation for high dimensional interval field construction

David Moens, Matthias Faes, Robin Callens, 2020 .

Imprecise random field analysis with parametrized kernel functions

David Moens, Matthias Faes, D. Moens, 2019 .

Hybrid spatial uncertainty analysis for the estimation of imprecise failure probabilities in Laser Sintered PA-12 parts

David Moens, Matthias Faes, Ghosh Dastidar Sabyasachi, 2019, Comput. Math. Appl..

Towards the NASA UQ Challenge 2019: Systematically forward and inverse approaches for uncertainty propagation and quantification

M. Beer, D. Moens, Jingrui Zhang, 2022, Mechanical Systems and Signal Processing.

Systematic approach for design optimization of a 3 kW solar cavity receiver via multiphysics analysis

D. Moens, Nesrin Ozalp, Cédric Ophoff, 2020 .