Characterization of Aircraft Structural Damage using Guided Wave Based Finite Element Analysis for in-Flight Structural Health Management
Author(s) -
Thiagarajan Krishnamurthy,
Banavara R. Seshadri,
Richard C. Ross
Publication year - 2016
Publication title -
nasa sti repository (national aeronautics and space administration)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2016-1790
Subject(s) - finite element method , actuator , signal (programming language) , structural health monitoring , catastrophic failure , structural engineering , computer science , engineering , materials science , artificial intelligence , composite material , programming language
The development of multidisciplinary Integrated Vehicle Health Management (IVHM) tools will enable accurate detection, diagnosis and prognosis of damage under normal and adverse conditions during flight. The adverse conditions include loss of control caused by environmental factors, actuator and sensor faults or failures, and structural damage conditions. A major concern is the growth of undetected damage/cracks due to fatigue and low velocity foreign object impact that can reach a critical size during flight, resulting in loss of control of the aircraft. To avoid unstable catastrophic propagation of damage during a flight, load levels must be maintained that are below the load-carrying capacity for damaged aircraft structures. Hence, a capability is needed for accurate real-time predictions of safe load carrying capacity for aircraft structures with complex damage configurations. In the present work, a procedure is developed that uses guided wave responses to interrogate damage. As the guided wave interacts with damage, the signal attenuates in some directions and reflects in others. This results in a difference in signal magnitude as well as phase shifts between signal responses for damaged and undamaged structures. Accurate estimation of damage size and location is made by evaluating the cumulative signal responses at various pre-selected sensor locations using a genetic algorithm (GA) based optimization procedure. The damage size and location is obtained by minimizing the difference between the reference responses and the responses obtained by wave propagation finite element analysis of different representative cracks, geometries and sizes.
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