| 书目名称 | Optimization of Tuned Mass Dampers |
| 副标题 | Using Active and Pas |
| 编辑 | Gebrail Bekdaş,Sinan Melih Nigdeli |
| 视频video | |
| 概述 | Summarizes the latest developments in the optimization of tuned mass dampers covering classical and new approaches.Includes metaheuristic algorithms, artificial intelligence, machine learning methods. |
| 丛书名称 | Studies in Systems, Decision and Control |
| 图书封面 |  |
| 描述 | 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 curr |
| 出版日期 | Book 2022 |
| 关键词 | Tuned Mass Dampers; Passive Control; Active Control; Adjacent structures; Algorithms; Artificial Intellig |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-98343-7 |
| isbn_softcover | 978-3-030-98345-1 |
| isbn_ebook | 978-3-030-98343-7Series ISSN 2198-4182 Series E-ISSN 2198-4190 |
| issn_series | 2198-4182 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 18:07:13
