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Optimization of tuned mass dampers =...
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Bekdas, Gebrail.
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Optimization of tuned mass dampers = using active and passive control /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Optimization of tuned mass dampers/ edited by Gebrail Bekdas, Sinan Melih Nigdeli.
其他題名:
using active and passive control /
其他作者:
Bekdas, Gebrail.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
viii, 187 p. :ill. (some col.), digital ;24 cm.
內容註:
Introduction and Overview: Structural Control and Tuned Mass Dampers -- Robust design of different tuned mass damper techniques to mitigate wind-induced vibrations under uncertain conditions -- Machine Learning-Based Model for Optimum Design of TMDs by Using Artificial Neural Networks.
Contained By:
Springer Nature eBook
標題:
Tuned mass dampers. -
電子資源:
https://doi.org/10.1007/978-3-030-98343-7
ISBN:
9783030983437
Optimization of tuned mass dampers = using active and passive control /
Optimization of tuned mass dampers
using active and passive control /[electronic resource] :edited by Gebrail Bekdas, Sinan Melih Nigdeli. - Cham :Springer International Publishing :2022. - viii, 187 p. :ill. (some col.), digital ;24 cm. - Studies in systems, decision and control,v. 4322198-4190 ;. - Studies in systems, decision and control ;v. 432..
Introduction and Overview: Structural Control and Tuned Mass Dampers -- Robust design of different tuned mass damper techniques to mitigate wind-induced vibrations under uncertain conditions -- Machine Learning-Based Model for Optimum Design of TMDs by Using Artificial Neural Networks.
This book is a timely book to summarize the latest developments in the optimization of tuned mass dampers covering all classical approaches and new trends including metaheuristic algorithms. Also, artificial intelligence and machine learning methods are included to predict optimum results by skipping long optimization processes. Another difference and advantage of the book are to provide chapters about several types of control types including passive tuned mass dampers, active tuned mass dampers, tuned liquid dampers, tuned liquid column dampers and inerter dampers. Tuned mass dampers (TMDs) are vibration absorber devices used in all types of mechanic systems. The key factor in the design is an effective tuning of TMDs for the desired performance. In practice, several high-rise structures and bridges were designed by including TMDs. Also, TMDs were installed after the construction of the structures after several negative experiences resulting from the disturbing sway of the structures. In optimum design, several closed-form expressions have been proposed for optimum frequency and damping ratio of TMDs, but the exact optimization requires iterative optimization approaches. The current trend is to use evolutionary algorithms and metaheuristic optimization methods to reach the goal.
ISBN: 9783030983437
Standard No.: 10.1007/978-3-030-98343-7doiSubjects--Topical Terms:
3296642
Tuned mass dampers.
LC Class. No.: TA355 / .O68 2022
Dewey Class. No.: 620.37
Optimization of tuned mass dampers = using active and passive control /
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This book is a timely book to summarize the latest developments in the optimization of tuned mass dampers covering all classical approaches and new trends including metaheuristic algorithms. Also, artificial intelligence and machine learning methods are included to predict optimum results by skipping long optimization processes. Another difference and advantage of the book are to provide chapters about several types of control types including passive tuned mass dampers, active tuned mass dampers, tuned liquid dampers, tuned liquid column dampers and inerter dampers. Tuned mass dampers (TMDs) are vibration absorber devices used in all types of mechanic systems. The key factor in the design is an effective tuning of TMDs for the desired performance. In practice, several high-rise structures and bridges were designed by including TMDs. Also, TMDs were installed after the construction of the structures after several negative experiences resulting from the disturbing sway of the structures. In optimum design, several closed-form expressions have been proposed for optimum frequency and damping ratio of TMDs, but the exact optimization requires iterative optimization approaches. The current trend is to use evolutionary algorithms and metaheuristic optimization methods to reach the goal.
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