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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…mehr

Produktbeschreibung
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).
Autorenporträt
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.