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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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article
Theoretical and experimental investigations on control parameters of piezo-based vibro-acoustic modulation health monitoring of contact acoustic nonlinearity in a sandwich beam
Abstract
Contact-type defects are prevalent in composite constructions and sandwich panels due to failure mechanisms such as bolt loosening and delamination. Contact acoustic nonlinearity is a manifestation of such defects that nonlinear health monitoring systems can detect. Vibro-acoustic modulation (VAM) is a well-established technique for the early detection of nonlinear defects in structures. It employs bi-tone excitation to reveal damage-induced nonlinearity, which results in the appearance of sidebands in the response spectrum. The objective of this research is to use PZT-based excitation to monitor bolt loosening in a sandwich beam in real-time. To address the limited capacity of the PZT transducers to excite the nonlinear mechanism, a sensitivity analysis (SA) for input factors of VAM testing was conducted to improve damage detection using the results. The Morris approach is used to investigate the sensitivity of VAM damage metrics derived analytically in the frequency domain. To reduce the number of tests required for the experimental SA, the response surface methodology (RSM) is applied. The analysis of variance and Fischer's statistics are used to calculate the SA of experimental damage indices. In RSM computations, the discrete influence of excitation frequencies on the modulation sidebands is addressed. For reliable SA of experimental results, the effect of background noise is taken into account. The findings of this study may be applied to the selection of appropriate damage metrics in real-world applications of VAM health monitoring systems, as well as the effective tuning of input control parameters to maximize damage detectability.