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020 _a9783030983437
024 7 _a10.1007/978-3-030-98343-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTA355
_b2022 EB
245 0 0 _aOptimization of Tuned Mass Dampers :
_bUsing Active and Passive Control
_cedited by Gebrail Bekdaş, Sinan Melih Nigdeli
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (VIII, 187 páginas)
_b60 ilustraciones, 36 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Systems Decision and Control
_x2198-4190
_v432
505 0 _aIntroduction 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.
520 _aThis 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.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9139212
_aVibraciones
650 7 _2embne
_9310604
_aEstructuras (Construcción)
_xDinámica
650 7 _2embne
_9405125
_aControl automático
700 1 _aBekdaş, Gebrail
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNigdeli, Sinan Melih
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030983420
776 0 8 _iPrinted edition:
_z9783030983444
776 0 8 _iPrinted edition:
_z9783030983451
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-98343-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b07/2022
_dz
_esc
_zSI