Structural System Identification and Health Monitoring: A Primer
Autor Eleni N. Chatzi, Vasilis Dertimanis, Konstantinos Tatsisen Limba Engleză Hardback – apr 2026
This graduate level textbook and professional guide provides both an overview of well-established structural identification methods, as well as an introduction to selected advanced state-of-the-art tools, which are particularly suited for implementation in a practical setting. Both parametric and non-parametric methods are discussed, formulated in the time or frequency domain. The challenging issues of state and parameter identification are addressed. Moreover, special topics pertaining to nonlinear and non-stationarity behavior are further visited. The presented methods are demonstrated using MATLAB, with sample code provided for the featured examples.
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Specificații
ISBN-13: 9781498731386
ISBN-10: 1498731384
Pagini: 552
Ilustrații: 480
Dimensiuni: 174 x 246 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1498731384
Pagini: 552
Ilustrații: 480
Dimensiuni: 174 x 246 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Cuprins
1 Introduction. Part I: Basic Principles. 2 Theory of Vibrations . 3 Fundamentals of Signal Processing. Part II: Structural Identification. 4 Vibration testing methods. 5 Non-parametric identification methods. 6 Parametric identification methods. Part III: Advanced Topics for SHM. 7 Nonlinear Sys-Id methods. 8 Time Varying Sys-Id methods. 9 Damage Detection methods. Appendices: Fundamental Mathematical Concepts
Descriere
Infrastructure needs monitoring, especially when it is sophisticated. Structural Health Monitoring delivers an abundance of information for life cycle assessment, maintenance planning and early warning.
This graduate level textbook and professional guide provides an introduction to the more basic and system identification methods of SHM. Both parametric and non-parametric methods are formulated in the time or frequency domain. It also covers state and parameter identification, the task of identifying behavior that lies beyond the usual scope of the elastic region, and non-stationarity. All methods are demonstrated using Python, and example code is provided for the featured examples.
This graduate level textbook and professional guide provides an introduction to the more basic and system identification methods of SHM. Both parametric and non-parametric methods are formulated in the time or frequency domain. It also covers state and parameter identification, the task of identifying behavior that lies beyond the usual scope of the elastic region, and non-stationarity. All methods are demonstrated using Python, and example code is provided for the featured examples.