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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 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).
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).