Identification of damage using lamb waves : from fundamentals to applications

Lecture Notes in Applied and Computational Mechanics This series aims to report new developments in applied and computational mechanics quickly, informally and at a high level. This includes the fields of fluid, solid and structural mechanics, dynamics and control, and related disciplines. The appli...

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Bibliografski detalji
Glavni autori: Su, Zhongqing, Ye, Lin, 1962- (Autor)
Format: Livre numérique
Jezik:Anglais
Izdano: London : Springer London [20..].
Cham : Springer Nature
Serija:Lecture Notes in Applied and Computational Mechanics 48
Online pristup:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Bilješka: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Identification of Damage Using Lamb Waves, Texte imprimé, 9781848827837
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505 1 |a Fundamentals and Analysis of Lamb Waves Activating and Receiving Lamb Waves Sensors and Sensor Networks Processing of Lamb Wave Signals Algorithms for Damage Identification Fusion of Signal Features Application of Algorithms for Identifying Structural Damage Case Studies Systems and Engineering Applications Looking Forward 
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520 |a Lecture Notes in Applied and Computational Mechanics This series aims to report new developments in applied and computational mechanics quickly, informally and at a high level. This includes the fields of fluid, solid and structural mechanics, dynamics and control, and related disciplines. The applied methods can be of analytical, numerical or computational nature. Identification of Damage Using Lamb Waves Since the early 1990s increased interest in the use of Lamb waves (dynamic stress waves travelling in thin plate/shell structures) for identifying damage in engineering structures has led to significant advances in knowledge and technology. Identification of Damage Using Lamb Waves provides essential know-how for developing Lamb-wave-based damage identification techniques. It addresses fundamentals such as the mechanisms of Lamb wave activation, propagation and acquisition, the selection of transducers and design of active sensor networks, and the development of signal processing for de-noising, compression and feature extraction in the time, frequency and joint time-frequency domains. It also provides detailed descriptions of various signal fusion algorithms for the quantitative determination of damage parameters location, orientation, size and severity. Other key topics include: finite element modelling and experimental techniques for Lamb waves; active sensor network technology using various agents, e.g., piezoelectric actuator/sensor and fibre Bragg grating sensor; software-hardware systems for implementation of Lamb-wave-based damage identification including Lamb wave signal generation, acquisition and processing; and representative case studies and diverse engineering applications 
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