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).
"Sinopsis" puede pertenecer a otra edición de este libro.
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: moluna, Greven, Alemania
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: SU ZhongqingZ. Su, PhD (2004): Mechanical Engineering at the University of nSydney, Australia. Now assistant professor at the Hong Kong nPolytechnic University. Research interests: structural health nmonitoring, smart materials and s. Nº de ref. del artículo: 4952335
Cantidad disponible: Más de 20 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 26360257040
Cantidad disponible: 4 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand. Nº de ref. del artículo: 353282511
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18360257050
Cantidad disponible: 4 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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). Nº de ref. del artículo: 9783639045673
Cantidad disponible: 2 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 204 pages. 8.66x5.91x0.50 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: 363904567X
Cantidad disponible: 1 disponibles