Optimization of tuned mass dampers : using active and passive control / Gebrail Bekdaş, Sinan Melih Nigdeli, editors.
2022
TA355 .O68 2022
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Details
Title
Optimization of tuned mass dampers : using active and passive control / Gebrail Bekdaş, Sinan Melih Nigdeli, editors.
ISBN
9783030983437 (electronic bk.)
3030983439 (electronic bk.)
9783030983420
3030983420
3030983439 (electronic bk.)
9783030983420
3030983420
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (some color).
Item Number
10.1007/978-3-030-98343-7 doi
Call Number
TA355 .O68 2022
Dewey Decimal Classification
620.3/7
Summary
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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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 14, 2022).
Series
Studies in systems, decision and control ; v. 432.
Available in Other Form
Print version: 9783030983420
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Table of Contents
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.
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.