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Semi‐active algorithm for energy‐based predictive structural control using tuned mass dampers
Author(s) -
Zelleke Daniel H.,
Matsagar Vasant A.
Publication year - 2019
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/mice.12474
Subject(s) - benchmark (surveying) , tuned mass damper , robustness (evolution) , vibration control , control theory (sociology) , vibration , model predictive control , computer science , damper , active vibration control , algorithm , energy (signal processing) , engineering , control (management) , structural engineering , mathematics , artificial intelligence , physics , biochemistry , chemistry , statistics , geodesy , quantum mechanics , gene , geography
A novel semi‐active control algorithm is developed and numerically evaluated for the suppression of undesirable structural vibrations. The mechanical energy of the vibrating structure is considered as the primary variable influencing the control action. This intuitive strategy is proposed to realize improved control of structural vibrations. The numerical study conducted reveals that the proposed energy‐based predictive (EBP) algorithm can be implemented on vibration control applications. The energy imparted to the structure is also reduced due to the proposed algorithm. The influence of the parameters of the proposed semi‐active tuned mass damper is studied. Further, the application of the proposed strategy on a realistic structure is numerically demonstrated by implementing the algorithm for the wind response control of a 76‐story benchmark building. The results show that the EBP algorithm is a competitive semi‐active strategy. The robustness of the strategy is also evaluated considering uncertainties in the properties of the benchmark building.