Overview
- Summarizes the latest developments in the optimization of tuned mass dampers covering classical and new approaches
- Includes metaheuristic algorithms, artificial intelligence, machine learning methods
- Provides chapters about all types of control types including active, passive, hybrid and semi-active control strategies
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 432)
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About this book
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.
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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Keywords
- Tuned Mass Dampers
- Passive Control
- Active Control
- Adjacent structures
- Algorithms
- Artificial Intelligence
- Artificial Neural Networks
- Evolutionary Algorithms
- Genetic Algorithms
- Hybrid algorithms
- Optimization
- Optimum Design
- Metaheuristic Algorithms
- Bioinspired Algorithms
- Swarm Intelligence
- Structural Engineering
- Nature-inspired Algorithms
- Machine Learning
- Optimum Structural Control
Table of contents (10 chapters)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Optimization of Tuned Mass Dampers
Book Subtitle: Using Active and Passive Control
Editors: Gebrail Bekdaş, Sinan Melih Nigdeli
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-98343-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-98342-0Published: 08 April 2022
Softcover ISBN: 978-3-030-98345-1Published: 09 April 2023
eBook ISBN: 978-3-030-98343-7Published: 07 April 2022
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: VIII, 187
Number of Illustrations: 24 b/w illustrations, 36 illustrations in colour
Topics: Control and Systems Theory, Computational Intelligence, Machine Learning