computational experimental techniques identification de khan irshad (6 resultados)

Paperback. Condición: Brand New. 236 pages. 8.66x5.91x0.54 inches. In Stock.

Taschenbuch. Condición: Neu. Computational and Experimental Techniques for Identification of Damage | Irshad Ahmad Khan | Taschenbuch | 236 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330085565 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mostly the structural members and machine elements are subjected to progressive static and dynamic loading and that may cause initiation of defects in the form of crack. That may lead to catastrophic failure or collapse of the structures. Thereby the importance of identification of damage in the structures is not only for leading safe operation but also to prevent the loss of economy and lives. The structural steel is widely used in various engineering systems such as bridges, railway coaches, ships, automobiles, etc. The glass fiber reinforced epoxy layered composite material has become popular for constructing the various engineering structures due to its valuable characteristics such as higher stiffness and strength to weight ratio, better damage tolerance capacity and wear resistance. The various automated artificial intelligent techniques such as fuzzy controller, neural network and hybrid AI techniques based multiple faults diagnosis systems are developed using vibration response of cracked cantilever beams. The Computational techniques, numerical and experimental methods can be successfully used as damage assessment tool to identify the faults presents in structural members. 236 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khan Irshad AhmadDr. Irshad Ahmad Khan currently working as Associate Professor in Department of Mechanical Engineering, Sagar Institute of Research & Technology, Bhopal. He has received his M-Tech and PhD degree from National Instit.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Mostly the structural members and machine elements are subjected to progressive static and dynamic loading and that may cause initiation of defects in the form of crack. That may lead to catastrophic failure or collapse of the structures. Thereby the importance of identification of damage in the structures is not only for leading safe operation but also to prevent the loss of economy and lives. The structural steel is widely used in various engineering systems such as bridges, railway coaches, ships, automobiles, etc. The glass fiber reinforced epoxy layered composite material has become popular for constructing the various engineering structures due to its valuable characteristics such as higher stiffness and strength to weight ratio, better damage tolerance capacity and wear resistance. The various automated artificial intelligent techniques such as fuzzy controller, neural network and hybrid AI techniques based multiple faults diagnosis systems are developed using vibration response of cracked cantilever beams. The Computational techniques, numerical and experimental methods can be successfully used as damage assessment tool to identify the faults presents in structural members.Books on Demand GmbH, Überseering 33, 22297 Hamburg 236 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mostly the structural members and machine elements are subjected to progressive static and dynamic loading and that may cause initiation of defects in the form of crack. That may lead to catastrophic failure or collapse of the structures. Thereby the importance of identification of damage in the structures is not only for leading safe operation but also to prevent the loss of economy and lives. The structural steel is widely used in various engineering systems such as bridges, railway coaches, ships, automobiles, etc. The glass fiber reinforced epoxy layered composite material has become popular for constructing the various engineering structures due to its valuable characteristics such as higher stiffness and strength to weight ratio, better damage tolerance capacity and wear resistance. The various automated artificial intelligent techniques such as fuzzy controller, neural network and hybrid AI techniques based multiple faults diagnosis systems are developed using vibration response of cracked cantilever beams. The Computational techniques, numerical and experimental methods can be successfully used as damage assessment tool to identify the faults presents in structural members.