Though serving as competitive candidates to meet future challenges imposed on aeronautical vehicles, composite structures run a high risk of losing efficiency as a result of damage if without timely detection. Cost-effective and reliable damage detection techniques are therefore critical for the confident acceptance of composite structures. This book presents an elastic wave-based damage identification technique and an online structural health diagnosis system for in-service composite structures, based on investigation of propagation characteristics of guided elastic waves in beams and plates bearing damage, in particular Lamb waves in composite laminates with through-hole or delamination. Fundamental and mechanism studies encompass theoretical analysis, finite element simulation and experimental verification. Following a review of the state of the art in this field, the book introduces a signal processing technique, termed Digital Damage Fingerprints (DDF); an inverse identification algorithm using a feedforward artificial neural network (ANN); and an active sensor network technique based on a novel concept, Standard Sensor Unit (SSU).
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Z. Su, PhD (2004): Mechanical Engineering at the University of Sydney, Australia. Now assistant professor at the Hong Kong Polytechnic University. Research interests: structural health monitoring, smart materials and structures, advanced composite structures, sensor and sensor network, signal processing and data fusion.
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Taschenbuch. Zustand: Neu. Elastic Wave-based Damage Detection Using Active Sensor Network | Su Zhongqing | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639045673 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 101661723
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