Analysis and modeling of diffuse ultrasonic signals for structural health monitoring

Source: OAI


Structural Health Monitoring (SHM) refers to the process of nondestructive autonomous in situ monitoring of the integrity of critical engineering structures such as airplanes, bridges and buildings. Ultrasonic wave propagation is an ideal interrogation method for SHM because ultrasound is the elastic vibration of the material itself and is thus directly affected by any structural damage occurring in the paths of the propagating waves. The objective of this thesis is to provide a comprehensive damage detection strategy for SHM using diffuse ultrasonic waves. This strategy includes a systematic temperature compensation method, differential feature extraction methods optimized for discriminating benign surface condition changes from damage, and data fusion methods to determine the structural status. The temperature compensation method is based upon a set of pre-recorded baselines. Using the methods of baseline selection and baseline correction, a baseline that best matches a monitored signal in temperature is provided. For the differential feature extraction, three types of features are proposed. The first type includes basic differential features such as mean squared error. The second type is derived from a matching pursuit based signal decomposition. An ultrasonic signal is decomposed into a sum of characteristic wavelets, and differential features are extracted based upon changes in the decomposition between a baseline signal and a monitored signal. The third type is a phase space feature extraction method, where an ultrasonic signal is embedded into phase space and features are extracted based on changes of the phase portrait. The structural status is determined based on a data fusion strategy consisting of a threshold selection method, fusion at the feature level, and fusion at the sensor level. The proposed damage detection strategy is applied to experiments on aluminum specimens with artificial defects subjected to a variety of environmental variations. Results as measured by the probability of detection, the false alarm rate, and the size of damage detected demonstrate the viability of the proposed techniques. Ph.D. Committee Chair: Michaels, Jennifer; Committee Member: Durgin, Gregory; Committee Member: Jacobs, Laurence; Committee Member: Michaels, Thomas; Committee Member: Vachtsevanos, George

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    ABSTRACT: Several different strategies are being considered for ultrasonic structural health monitoring systems using a variety of approaches. Guided wave techniques for interrogating large plate-like structures have probably generated the most interest; these methods have the potential of monitoring large areas with a low sensor density while remaining sensitive to defects. The acousto-ultrasonic nondestructive evaluation method has motivated the use of long-time, reverberating waves which "fill" a structure and hence monitor large areas. Local methods based upon several different wave modes have been considered for monitoring known "hot spots" such as fastener holes and critical bonds. Presented here are examples of these three strategies where the purpose is to both show progress which has been made and illustrate key issues, mainly in the context of aerospace applications. The progress and problems thus far show both the promise of ultrasonic structural health monitoring and the significant challenges in moving from the laboratory to deployed systems.
    Full-text · Article · May 2008 · Proceedings of SPIE - The International Society for Optical Engineering
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    ABSTRACT: L'interférométrie par ondes de coda est une technique qui exploite les changements inhérents aux ondes dispersives afin d'évaluer les variations de propriétés du milieu de propagation. Cette technique a été précédemment mise au point dans le domaine de la géophysique, dans le contexte d'une caractérisation non destructive [1], [2]. En effet, un des potentiels de cette méthode réside, entre-autre, dans sa capacité à évaluer les modifications du temps de parcours des ondes élastiques dans des milieux soumis à des changements de température aussi bien qu'à des modifications structurelles. Une première étude a montré la capacité de l'interférométrie par ondes de coda à estimer avec précision la température dans une plaque d'aluminium [3]. Ce travail préliminaire, dans un milieu homogène et isotrope, a permis alors de confronter les mesures à un modèle analytique. Le travail présenté dans cet article s'inspire de ces résultats pour étudier l'effet de la température sur la propagation des ondes acoustiques dans une plaque composite de type verre époxy. La sensibilité de la méthode ouvre des perspectives très intéressantes en termes de contrôle de santé des matériaux en présence d'endommagements faibles ou précoces. Références [1] Grêt, A., R. Snieder, and J. Scales, Time-lapse monitoring of rock properties with coda wave interferometry, J. Geophys. Res., 111, 2006. [2] Grêt, A., R. Snieder, and U. Ozbay, Monitoring in-situ stress changes in a mining environment with coda wave interferometry, Geophys. J. Int., 167, 504-508, 2006. [3] E. Balaa, A. Le Duff, G. Plantier, R. El Guerjouma, Interférométrie par onde de coda : effet de la température sur la propagation d'ondes acoustiques dans une plaque d'aluminium, 22ème colloque sur le traitement du signal et des images, Dijon, septembre 2009.
    Full-text · Conference Paper · Apr 2010
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    ABSTRACT: Damage assessment can be considered as the main task within the context of structural health monitoring (SHM) systems. This task is not only confined to the detection of damages in its basic algorithms but also in the generation of early warnings to prevent possible catastrophes in the daily use of the structures ensuring their proper functioning. Changes in environmental and operational conditions (EOC), in particularly temperature, affect the performance of SHM systems that constitutes a great limitation for their implementation in real world applications. This paper describes a health monitoring methodology combining the advantages of guided ultrasonic waves together with the compensation for temperature effects and the extraction of defect-sensitive features for the purpose of carrying out a nonlinear multivariate diagnosis of damage. Two well-known methods to compensate the temperature effects, namely optimal baseline selection and optimal signal stretch, are investigated within the proposed methodology where the performance is assessed using receiver operating characteristic curves. The methodology is experimentally tested in a pipeline. Results show that the methodology is a robust practical solution to compensate the temperature effects for the damage detection task. Copyright © 2015 John Wiley & Sons, Ltd.
    No preview · Article · Feb 2015 · Structural Control and Health Monitoring

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