Optimization of Tuned Mass Dampers
Using Active and Passive Control
Seiten
2023
|
1st ed. 2022
Springer International Publishing (Verlag)
978-3-030-98345-1 (ISBN)
Springer International Publishing (Verlag)
978-3-030-98345-1 (ISBN)
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.
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.
Erscheinungsdatum | 11.04.2023 |
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Reihe/Serie | Studies in Systems, Decision and Control |
Zusatzinfo | VIII, 187 p. 60 illus., 36 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 304 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Active Control • Adjacent structures • algorithms • Artificial Intelligence • Artificial Neural Networks • bioinspired algorithms • evolutionary algorithms • Genetic algorithms • hybrid algorithms • machine learning • Metaheuristic Algorithms • Nature-Inspired Algorithms • Optimization • Optimum Design • Optimum Structural Control • Passive Control • Structural engineering • Swarm intelligence • Tuned Mass Dampers |
ISBN-10 | 3-030-98345-5 / 3030983455 |
ISBN-13 | 978-3-030-98345-1 / 9783030983451 |
Zustand | Neuware |
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