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Fractional Random Vibrations II: Applications (Fractional Order Thinking in Exploring the Frontiers of STEM) - Tapa dura

 
9781041110217: Fractional Random Vibrations II: Applications (Fractional Order Thinking in Exploring the Frontiers of STEM)

Sinopsis

This two-volume set provides a comprehensive study of fractional random vibration from the perspective of theory and practice. Volume II provides the analytical expressions for the responses of seven classes of fractional vibration systems excited by six types of random processes.

It examines the responses of seven classes of fractional vibrations driven by five fractional processes, namely, fractional Gaussian noise, generalized fractional Gaussian noise, fractional Brownian motion, fractional Ornstein-Uhlenbeck process, the process with the von Kármán spectrum, and the process with the Pierson-Moskowitz spectrum. The present results apply the theories discussed in Volume I to the novel and cutting-edge topic of fractional processes, with a special focus on fractional vibration systems for marine structures influenced by the Pierson-Moskowitz and von Kármán spectra.

The title will be essential reading for students, mathematicians, physicists, and engineers interested in fractional random vibration phenomena.

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Acerca del autor

Ming Li is a professor at Ocean College, Zhejiang University, China, and an emeritus professor at East China Normal University. He has been a contributor for many years to the fields of mathematics, statistics, mechanics, and computer science. His publications with CRC Press also include Multi-Fractal Traffic and Anomaly Detection in Computer Communications, Fractal Teletraffic Modeling and Delay Bounds in Computer Communications, and Fractional Vibrations with Applications to Euler-Bernoulli Beams.

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Ming Li
Publicado por Taylor & Francis Ltd, 2025
ISBN 10: 1041110219 ISBN 13: 9781041110217
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Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526. Nº de ref. del artículo: C9781041110217

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