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Kundu, Abhishek
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2023Elastic modulus of self-compacting fibre reinforced concrete: Experimental approach and multi-scale simulationcitations
- 2023Deep learning for automatic assessment of breathing-debonds in stiffened composite panels using non-linear guided wave signalscitations
- 2022Acoustic emission data based deep learning approach for classification and detection of damage-sources in a composite panelcitations
- 2021A Gaussian Process Based Model for Air-Jet Cooling of Mild Steel Plate in Run Out Table
- 2019Nondestructive Analysis of Debonds in a Composite Structure under Variable Temperature Conditionscitations
- 2019Nondestructive analysis of debonds in a composite structure under variable temperature conditionscitations
- 2019A generic framework for application of machine learning in acoustic emission-based damage identificationcitations
- 2018Probabilistic method for damage identification in multi-layered composite structures
- 2018Online detection of barely visible low-speed impact damage in 3D-core sandwich composite structurecitations
- 2017Acoustic emission based damage localization in composites structures using Bayesian identificationcitations
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article
Nondestructive analysis of debonds in a composite structure under variable temperature conditions
Abstract
This paper presents a nondestructive analysis of debonds in an adhesively-bonded carbon-fibre reinforced composite structure under variable temperature conditions. Towards this, ultrasonic guided wave propagation based experimental analysis and numerical simulations are carried out for a sample composite structure to investigate the wave propagation characteristics and detect debonds under variable operating temperature conditions. The analysis revealed that the presence of debonds in the structure significantly reduces the wave mode amplitudes, and this effect further increases with the increase in ambient temperature and debond size. Based on the debond induced differential amplitude phenomenon, an online monitoring strategy is proposed that directly uses the guided wave signals from the distributed piezoelectric sensor network to localize the hidden debonds in the structure. Debond index maps generated from the proposed monitoring strategy show the debond identification potential in the adhesively-bonded composite structure. The accuracy of the monitoring strategy is successfully verified with non-contact active infrared-thermography analysis results. The effectiveness of the proposed monitoring strategy is further investigated for the variable debond size and ambient temperature conditions. The study establishes the potential for using the proposed damage index constructed from the differential guided wave signal features as a basis for localization and characterization of debond damages in operational composite structures.