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.Â
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.Â
General
| Imprint: |
Springer Nature Switzerland AG
|
| Country of origin: |
Switzerland |
| Series: |
Studies in Systems, Decision and Control, 432 |
| Release date: |
April 2023 |
| First published: |
2022 |
| Editors: |
Gebrail BekdaÅŸ
• Sinan Melih Nigdeli
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
187 |
| Edition: |
1st ed. 2022 |
| ISBN-13: |
978-3-03-098345-1 |
| Categories: |
Books
|
| LSN: |
3-03-098345-5 |
| Barcode: |
9783030983451 |
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