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Damage Identification in Composite Materials Using Lamb Wave Method: As a base for structural health monitoring - Softcover

 
9783847303879: Damage Identification in Composite Materials Using Lamb Wave Method: As a base for structural health monitoring

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Composite materials are gaining acceptance and demand in several commercial markets including sporting goods, construction and transportation. For many of these applications however, such as aircraft, without a reliable damage detection approach, the total cost of ownership may become a limiting factor for the structure’s use. Several non-destructive evaluation techniques are compared on the basis of their strengths and weaknesses for in- service testing of composite materials. A procedure has been formulated for identifying and locating of damage in structures using Lamb wave propagation parameters as a base of the health monitoring of composite materials. The main focus was placed on ultrasonic based Lamb waves propagation method.The Ultrasonic based Lamb waves propagation method is totally a new approach for the problem of overlapping of the modes in the analysis of Lamb waves.

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About the Author

Dr. Beera Satish Ben has got Ph.D in 2009 from Andhra University in the research area Structural Health Monitoring. He has published international articals on tool condition monitoring. at present he is Researcher in Kyungpook National University, Koria.

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Ben, Satish; S H, Yang; Ch, Ratnam
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847303872 ISBN 13: 9783847303879
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Composite materials are gaining acceptance and demand in several commercial markets including sporting goods, construction and transportation. For many of these applications however, such as aircraft, without a reliable damage detection approach, the total cost of ownership may become a limiting factor for the structure s use. Several non-destructive evaluation techniques are compared on the basis of their strengths and weaknesses for in- service testing of composite materials. A procedure has been formulated for identifying and locating of damage in structures using Lamb wave propagation parameters as a base of the health monitoring of composite materials. The main focus was placed on ultrasonic based Lamb waves propagation method.The Ultrasonic based Lamb waves propagation method is totally a new approach for the problem of overlapping of the modes in the analysis of Lamb waves. 84 pp. Englisch. Seller Inventory # 9783847303879

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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ben SatishDr. Beera Satish Ben has got Ph.D in 2009 from Andhra University in the research area Structural Health Monitoring. He has published international articals on tool condition monitoring. at present he is Researcher in Kyungp. Seller Inventory # 5508732

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Composite materials are gaining acceptance and demand in several commercial markets including sporting goods, construction and transportation. For many of these applications however, such as aircraft, without a reliable damage detection approach, the total cost of ownership may become a limiting factor for the structure¿s use. Several non-destructive evaluation techniques are compared on the basis of their strengths and weaknesses for in- service testing of composite materials. A procedure has been formulated for identifying and locating of damage in structures using Lamb wave propagation parameters as a base of the health monitoring of composite materials. The main focus was placed on ultrasonic based Lamb waves propagation method.The Ultrasonic based Lamb waves propagation method is totally a new approach for the problem of overlapping of the modes in the analysis of Lamb waves.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch. Seller Inventory # 9783847303879

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