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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CURB

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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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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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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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