Integrated Health Management Of Complex Composite Structures - Liu, Yingtao;Chattopadhyay, Aditi
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Structural health management (SHM) is emerging as a vital methodology to help engineers improve the safety and maintainability of critical structures. SHM systems are designed to reliably monitor and test the health and performance of structures in aerospace, civil, and mechanical engineering applications. SHM combines multidisciplinary technologies including sensing, signal processing, pattern recognition, data mining, high fidelity probabilistic progressive damage models, physics based damage models, and regression analysis. Due to the wide application of carbon fiber reinforced composites…mehr

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Produktbeschreibung
Structural health management (SHM) is emerging as a vital methodology to help engineers improve the safety and maintainability of critical structures. SHM systems are designed to reliably monitor and test the health and performance of structures in aerospace, civil, and mechanical engineering applications. SHM combines multidisciplinary technologies including sensing, signal processing, pattern recognition, data mining, high fidelity probabilistic progressive damage models, physics based damage models, and regression analysis. Due to the wide application of carbon fiber reinforced composites and their multiscale failure mechanisms, it is necessary to emphasize the research of SHM on composite structures. This research develops a comprehensive framework for the damage detection, localization, quantification, and prediction of the remaining useful life of complex composite structures. The developed SHM methodologies have been validated on flexible boom structures and UAV composite wings.
Autorenporträt
Dr. Yingtao Liu is a Research Scientist at Arizona State University (ASU). He received his Ph.D. in Mechanical Engineering from ASU in March 2012. His research expertise includes structural health monitoring, prognostics, statistical signal processing, nondestructive evaluation, and smart materials.