Nonlinearity in Structural Dynamics
Detection, Identification and Modelling
Published on 23. April 2019
659 pages
978-0-429-52498-1 (ISBN)
Description
Many types of engineering structures exhibit nonlinear behavior under real operating conditions. Sometimes the unpredicted nonlinear behavior of a system results in catastrophic failure. In civil engineering, grandstands at sporting events and concerts may be prone to nonlinear oscillations due to looseness of joints, friction, and crowd movements.
Reviews / Votes
"This book provides an important contribution to the challenging world of nonlinear structural dynamics and mechanical vibration. One of the most interesting features of the book is the perfect balance the authors have provided, between computational and experimental methods, and between theory and practical applications. I strongly recommend this book to researchers (in engineering and sciences) and practicing engineers (in aerospace, civil, and mechanical industries) who are actively investigating the role of nonlinearities in structural and mechanical systems. It could be used as a supplementary or reference text for graduate and undergraduate students in this field."-R. Singh, Ohio State University
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Product notice
Reflowable
File size
34,95 MB
ISBN-13
978-0-429-52498-1 (9780429524981)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
K. Worden | G.R Tomlinson
Nonlinearity in Structural Dynamics
Detection, Identification and Modelling
Book
12/2000
1st Edition
Institute of Physics Publishing
€408.54
Shipment within 10-20 days
Person
Worden, K
Content
Linear systems. From linear to nonlinear. FRFs of nonlinear systems. The Hilbert transform - a practical approach. The Hilbert transform - a complex analytical approach. System identification - discrete-time. System identification - continuous-time. The Volterra Series and higher-order frequency response functions. Experimental case studies. Appendices.
