Wind and Structures
Volume 31, Number 3, 2020, pages 241-253
DOI: 10.12989/was.2020.31.3.241
Parametric optimization of an inerter-based vibration absorber for wind-induced vibration mitigation of a tall building
Qinhua Wang, Haoshuai Qiao, Wenji Li, Yugen You, Zhun Fan and Nayandeep Tiwari
Abstract
he inerter-based vibration absorber (IVA) is an enhanced variation of Tuned Mass Damper (TMD). The parametric
optimization of absorbers in the previous research mainly considered only two decision variables, namely frequency ratio and
damping ratio, and aimed to minimize peak displacement and acceleration individually under the excitation of the across-wind
load. This paper extends these efforts by minimizing two conflicting objectives simultaneously, i.e., the extreme displacement
and acceleration at the top floor, under the constraint of the physical mass. Six decision variables are optimized by adopting a
constrained multi-objective evolutionary algorithm (CMOEA), i.e., NSGA-II, under fluctuating across- and along-wind loads,
respectively. After obtaining a set of optimal individuals, a decision-making approach is employed to select one solution which
corresponds to a Tuned Mass Damper Inerter/Tuned Inerter Damper (TMDI/TID). The optimization procedure is applied to
parametric optimization of TMDI/TID installed in a 340-meter-high building under wind loads. The case study indicates that the
optimally-designed TID outperforms TMDI and TMD in terms of wind-induced vibration mitigation under different wind
directions, and the better results are obtained by the CMOEA than those optimized by other formulae. The optimal TID is
proven to be robust against variations in the mass and damping of the host structure, and mitigation effects on acceleration
responses are observed to be better than displacement control under different wind directions.
Key Words
inerter-based vibration absorber; multi-objective evolutionary algorithm; decision-making approach; windinduced vibration; high-rise building
Address
Qinhua Wang:Department of Civil and Environmental Engineering, Shantou University, Shantou City, Guangdong Province, China/ Guangdong Engineering Center for Structure Safety and Health Monitoring, Shantou University, Shantou 515063, China
Haoshuai Qiao:Department of Civil and Environmental Engineering, Shantou University, Shantou City, Guangdong Province, China
Wenji Li: Department of Electronic and Information Engineering, Shantou University, Shantou City, Guangdong Province, China
Yugen You:Department of Electronic and Information Engineering, Shantou University, Shantou City, Guangdong Province, China
Zhun Fan:Department of Electronic and Information Engineering, Shantou University, Shantou City, Guangdong Province, China/ Key Lab of Digital Signal and Image Processing of Guangdong Province, Shantou University, 515063, Guangdong, China
Nayandeep Tiwari: Department of Civil and Environmental Engineering, Shantou University, Shantou City, Guangdong Province, China