Buch, Englisch, 680 Seiten, Format (B × H): 163 mm x 240 mm, Gewicht: 1316 g
Detection, Identification and Modelling
Buch, Englisch, 680 Seiten, Format (B × H): 163 mm x 240 mm, Gewicht: 1316 g
ISBN: 978-0-7503-0356-9
Verlag: Taylor & Francis Ltd
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. In the aerospace industry, nonlinear motions may have serious implications for fatigue life. In the automotive industry, examples include brake sequel and undesirable engine mounting oscillations. Engineers of all types encounter nonlinear behavior in a system at some time in their working lives and should be able to recognize it.
Nonlinearity in Structural Dynamics: Detection, Identification and Modeling provides a background in techniques that can be applied to situations in which nonlinearity plays, or is suspected to play, a role in the dynamic structural behavior. Striking a good balance between theory and application, the book covers both analytical and experimental methods and describes their application to real structures. The authors include numerous examples of nonlinearity in real engineering systems. The book is essential reading for engineers and scientists in the fields of structural dynamics and nonlinearity as well as a useful supplement for graduate and senior undergraduate students in engineering courses.
Zielgruppe
Professional
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
- Technische Wissenschaften Technik Allgemein Technologie: Soziale & Ethische Aspekte
- Naturwissenschaften Physik Angewandte Physik Soziophysik, Wirtschaftsphysik
- Technische Wissenschaften Technik Allgemein Technik: Allgemeines
Weitere Infos & Material
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.
