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Titlebook: Optimization of Tuned Mass Dampers; Using Active and Pas Gebrail Bekda?,Sinan Melih Nigdeli Book 2022 The Editor(s) (if applicable) and The

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發(fā)表于 2025-3-21 18:07:13 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Optimization of Tuned Mass Dampers
副標題Using Active and Pas
編輯Gebrail Bekda?,Sinan Melih Nigdeli
視頻videohttp://file.papertrans.cn/704/703301/703301.mp4
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.
叢書名稱Studies in Systems, Decision and Control
圖書封面Titlebook: Optimization of Tuned Mass Dampers; Using Active and Pas Gebrail Bekda?,Sinan Melih Nigdeli Book 2022 The Editor(s) (if applicable) and The
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
關鍵詞Tuned Mass Dampers; Passive Control; Active Control; Adjacent structures; Algorithms; Artificial Intellig
版次1
doihttps://doi.org/10.1007/978-3-030-98343-7
isbn_softcover978-3-030-98345-1
isbn_ebook978-3-030-98343-7Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 22:53:29 | 只看該作者
Passive Control via Mass Dampers: A Review of State-Of-The-Art Developments,e control of these systems, which store energy with the help of a spring and mass, the effect of mass and spring is great. Based on this logic, different types of passive control systems are derived according to the type of material used. Tuned mass dampers (TMD) and tuned liquid dampers (TLD) in th
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發(fā)表于 2025-3-23 00:43:18 | 只看該作者
Semi-active Tuned Liquid Column Dampers with Variable Natural Frequency,, which can adapt their frequency to an optimal one required by structures. In classical TMDs, an oscillatory solid mass generates restoring forces. The vibration energy of the mass is mitigated by supplementary dissipators. In contrast, tuned liquid column dampers (TLCDs) use Newtonian fluids, such
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發(fā)表于 2025-3-23 03:52:15 | 只看該作者
Optimum Tuning of Active Mass Dampers via Metaheuristics,the tuning parameters of proportional-integral-derivative (PID) type used in the generation of the control force. As known, ATMDs are positioned on seismic structures to reduce structural responses. As the current target of today’s needs, the methodologies must be suitable for real structures. Due t
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發(fā)表于 2025-3-23 09:10:30 | 只看該作者
Machine Learning-Based Model for Optimum Design of TMDs by Using Artificial Neural Networks,amages to minimum via optimum modeling of tuned mass dampers (TMDs) in frequency-domain. For this respect, in the optimization process realized as the first step, the metaheuristic flower pollination algorithm (FPA) was used for the minimization of the biggest amplitude for the transfer function. In
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