693.932 PEOPLE
| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Loendersloot, Richard
University of Twente
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (53/53 displayed)
- 2023Theoretical and experimental investigations on control parameters of piezo-based vibro-acoustic modulation health monitoring of contact acoustic nonlinearity in a sandwich beamcitations
- 2023Impact Damage Identification on Composite Structures
- 2022Dynamics-based impact identification method for composite structures
- 2021Numerical Modelling of Stochastic Fatigue Damage Accumulation in Thick Compositescitations
- 2020Ultrasonic inline inspection of a cement-based drinking water pipelinecitations
- 2019Fatigue Damage Identification and Remaining Useful Life Estimation of Composite Structures using Piezo Wafer Active Transducerscitations
- 2019Towards the development of a hybrid methodology of head checks in railway infrastructure
- 2018A Labview/Arduino Measurement System for Shape Memory Alloy Wirescitations
- 2018Acousto-Ultrasonic Damage Monitoring in a Thick Composite Beam for Wind Turbine Applications
- 2018The Detection of Fatigue Damage Accumulation in a Thick Composite Beam Using Acousto Ultrasonics
- 2017Modal strain energy-based structural health monitoring validation on rib stiffened composite panels
- 2016Modal Strain Energy Based Structural Health Monitoring on Rib Stiffened Composite Panels
- 2016Monitoring dynamic stiffness that predicts concrete structure degradation
- 2015Identification of barely visible impact damages on a stiffened composite panel with a probability-based approachcitations
- 2015Identification of barely visible impact damages on a stiffened composite panel with a probability-based approach
- 2015Damage identification in composite panels using guided waves
- 2015Experimental evaluation of vibration-based damage identification methods on a composite aircraft structure with internallymounted piezo diaphragm sensorscitations
- 2015Damage Identification in Composite Panels - Methodology and Visualisationcitations
- 2015Damage identification in composite panelscitations
- 2014Aligning PHM, SHM and CBM by understanding the physical system failure behaviour
- 2013Engineers in a flap over rotor blades
- 2013Development of a Damage Quantification Model for Composite Skin-Stiffener Structures
- 2012Smart actuation for helicopter rotorbladescitations
- 2011Dynamic characterisation of a damaged composite structure with stiffeners employing fibre bragg gratings
- 2011Vibration based structural health monitoring and the modal strain energy damage index algorithm applied to a composite T-beamcitations
- 2011Development of a Damage Quantification Model for Composite Skin-Stiffener Structures
- 2010Development of a multigrid finite difference solver for benchmark permeability analysis
- 2009Vibration based structural health monitoring in fibre reinforced composites employing the modal strain energy method
- 2008Transverse permeability of woven fabrics (CD-rom)
- 2008Permeability Prediction Using a Multigrid Method (CD-rom)
- 2006Experimental verification of out-of-plane permeability : powerpoint presentation
- 2006A permeability prediction for non-crimp fabrics
- 2006Experimental investigation of the compressibility and permeability of fabric reinforcements : abstract
- 2006Experimental verification of out-of-plane permeability
- 2005A permeability prediction for non-crimp fabrics
- 2005Forming simulation of febre reinforced composites
- 2005Comparison of Permeability Experiments and Explanations of Experimental Scatter based on Geometric Models
- 2005Drape simulation of non-crimp fabrics
- 2004Multigrid/Network approach based permeability prediction
- 2004Permeability prediction of non-crimp fabrics based on a geometric model
- 2004Permeability Experiments: Design, development and methodology of a resin transfer moulding measuring device [Abstract]
- 2004A permeability prediction for (Un)Sheared non-crimp fabrics
- 2003Permeability Prediction of Non-Crimp Fabrics Based on a Geometric Model
- 2003Architecture and permeability of sheared charbon firbre-crimp fabrics
- 2003Quarterly Progress Report UT-NLR RTM project
- 2003Appendix II: Permeability, drapeability and compressibility - Three Interrelated Properties
- 2003Geometry and permeability of non-crimp fabrics
- 2003Permeability prediction of a single layer non-crimp fabric
- 2003Material characterisation for finite element simulations of draping with non-crimp fabrics
- 2002A least squares approximation of annular flow
- 2002Through-thickness permeability measurements of fibre reinforcements
- 2002Definition o developed RVE (unit cell) models
- 2001Resin transfer moulding of high performance composites
Places of action
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document
Modal Strain Energy Based Structural Health Monitoring on Rib Stiffened Composite Panels
Abstract
Previously, an evaluation study has been conducted on a Structural Health Monitoring (SHM) strategy applied to a composite aileron by deriving the Modal Strain Energy Damage Indicator (MSE-DI). MSE-DI was used to localize the impact damage location. However, this study has also shown that the damage type may have had influence on the performance of the algorithm. To test this hypothesis, two identical composite stiffened panels have been manufactured. In this paper, the one-dimensional MSE formulation is used to extract damage indicators from two identically produced panels. A Laser Doppler Vibrometer is used to measure vibrations from 253 points on each panel. Both panels were identically damaged by impacting the skin causing a delamination of the stiffener. The damage indicators for the two panels are extracted and compared to each other. The results from confirm that the MSE-DI can successfully detect damage. However, for this specific case, the localization of the damage was not accurate due to a limited number of measured bending moment mode shapes.