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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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Groves, Roger
Delft University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (29/29 displayed)
- 2024Shearography With Thermal Loading For Defect Detection Of Small Defects In Cfrp Composites
- 2024Towards hydrogen fueled aircraft
- 2024Advancing Hydrogen Sensing for Sustainable Aviationcitations
- 2023Towards safe shearography inspection of thick composites with controlled surface temperature heatingcitations
- 2022Shearography non-destructive testing of thick GFRP laminatescitations
- 2022Shearography non-destructive testing of a composite ship hull section subjected to multiple impacts
- 2021Optical Material Characterisation of Prepreg CFRP for Improved Composite Inspectioncitations
- 2021Spatially modulated thermal excitations for shearography non-destructive inspection of thick compositescitations
- 2021Modeling and imaging of ultrasonic array inspection of side drilled holes in layered anisotropic mediacitations
- 2020Simulation of ultrasonic beam propagation from phased arrays in anisotropic media using linearly phased multi-Gaussian beamscitations
- 2020A gaussian beam based recursive stiffness matrix model to simulate ultrasonic array signals from multi-layered mediacitations
- 2020Simultaneous temperature-strain measurement in a thin composite panel with embedded tilted Fibre Bragg Grating sensors (PPT)
- 2020Algorithm assessment for layup defect segmentation from laser line scan sensor based image datacitations
- 2019Systematic multiparameter design methodology for an ultrasonic health monitoring system for full-scale composite aircraft primary structurescitations
- 2018Experimental assessment of the influence of welding process parameters on Lamb wave transmission across ultrasonically welded thermoplastic composite jointscitations
- 2018Incorporating Inductive Bias into Deep Learning
- 2018Non-Destructive Testing for Detection, Localization and Quantification of Damage on Composite Structures for Composite Repair Applications
- 2018Full-scale testing of an ultrasonic guided wave based structural health monitoring system for a thermoplastic composite aircraft primary structure
- 2018EXTREME shearographycitations
- 20183.12 Inspection and Monitoring of Composite Aircraft Structurescitations
- 2017Online preventive non-destructive evaluation for automated fibre placement
- 2017Modelling of ultrasonic beam propagation from an array through transversely isotropic fibre reinforced composites using Multi Gaussian beams
- 2017Epoxy-hBN nanocompositescitations
- 2017Advanced signal processing techniques for fibre-optic structural health monitoring
- 2016Online Preventative Non-Destructive Evaluation in Automated Fibre Placement
- 2016Thermal strains in heated Fiber Metal Laminates
- 2016Monitoring chemical degradation of thermally cycled glass-fibre composites using hyperspectral imagingcitations
- 2016Experimental characterisation of Lamb wave propagation through thermoplastic composite ultrasonic welds
- 2016Perspectives on Structural Health Monitoring of Composite Civil Aircraft
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document
Perspectives on Structural Health Monitoring of Composite Civil Aircraft
Abstract
Safe and cost effective operation are the highest priorities for civil aircraft. Considering that many events that can occur during normal aircraft operation which cause a reduction in the residual strength of the structure, a rigid adherence to inspection and maintenance schedules and timely repair of damage is required. Since Structural Health Monitoring (SHM) has the capability to investigate critical areas of the aircraft structure, it is potentially applicable to a wide range of current civil aircraft, including general aviation, business jets and large passenger aircraft. Although SHM could be extended to the complete aircraft structure in the future, in the shorter term it is more practical to consider the most critical structural elements/assemblies, both for reasons of cost and the time, especially in certification, leading to more standardised procedures in future. On a technical level SHM should be addressed by identifying critical structural elements/assemblies such as: blade stiffened skin panels, sandwich panels, hat stiffened skin panels, multi-rib and multi-spar structures, welded , mechanically-fastened and co-cured joints. For each of these, expected failure modes are assessed and used to determine the expected damage types. Damage sizes which post a risk to the structural integrity of the aircraft are then matched with SHM technologies which have suitable damage detection capability. This paper proposes the use of metrics to quantify the effectiveness and efficiency of the SHM system according to the six most important elements of SHM: Damage event detection, Damage event localization, Damage type detection, Damage extent detection, Damage effect estimation, and Damage prognosis. SHM Technologies are a combination of non-destructive testing techniques, developed further for in-situ monitoring, and new technologies. The techniques considered to have the most potential for SHM of composite aircraft are Acoustic emission, Guided Lamb wave sensing and Fibre optic sensing. SHM comprises part of the Smart Materials and Structures Concept that will be the basis for future Smart and Efficient Aircraft with lightweight structures, on-board monitoring, health diagnosis and adaptive structures. In this concept, optimal sensor positioning, distributed communication networks and algorithms, miniaturisation and energy harvesting are also considered.