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Fatigue damage detection in large thin wall plate based on ultrasonic guided wave by using a piezoelectric sensor network
Alem, B ; Sharif University of Technology
1516
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- Type of Document: Article
- Abstract:
- Today, structural Health monitoring is a major concern in the engineering community. Multisite fatigue damage, hidden cracks and corrosion in hard-to-reach locations are among the major flaws encountered in today's extensive diagnosis and/or prognosis of aircraft structures. Ultrasonic waves, lamb waves are particularly advantageous because of their propagation at large distances with little damp in thin-wall structures. In this paper a new rectangular shape array of embedded piezoelectric sensors is developed to detect some damages in large planar structures. An artificial neural network is trained to identify the damage state and its location. Output signals of each sensor due to various crack size and crack location are obtained by Finite element simulation
- Keywords:
- Baseline-free damage detection ; Guided waves ; Piezoelectric sensor ; Structural health monitoring ; Aircraft manufacture ; Airframes ; Cracks ; Electric sensing devices ; Fatigue damage ; Finite element method ; Guided electromagnetic wave propagation ; Neural networks ; Piezoelectric devices ; Piezoelectric transducers ; Piezoelectricity ; Sensor networks ; Surface waves ; Ultrasonic applications ; Ultrasonic waves ; Embedded piezoelectric sensors ; Engineering community ; Finite element simulations ; Piezoelectric sensor networks ; Rectangular shapes ; Thin-wall structures ; Ultrasonic guided wave ; Damage detection
- Source: 29th Congress of the International Council of the Aeronautical Sciences, ICAS 2014 ; 2014
- URL: http://www.icas.org/ICAS_ARCHIVE/ICAS2014/data/papers/2014_0692_paper.pdf