Tuned mass damper asymmetric coupling system for vibration control of adjacent twin buildings

被引:11
作者
Ok, Seung-Yong [1 ,2 ]
机构
[1] Hankyong Natl Univ, Dept Civil Safety & Environm Engn, Anseong 17579, South Korea
[2] Hankyong Natl Univ, Construct Engn Res Inst, Anseong 17579, South Korea
基金
新加坡国家研究基金会;
关键词
adjacent twin buildings; asymmetric coupling system; multi-objective optimization; symmetry perturbation control; tuned mass damper; OPTIMAL-DESIGN; SEISMIC RESPONSE; ALGORITHMS; PARAMETERS;
D O I
10.1177/1369433219886452
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
It is widely known that, in the vibration control problem of two adjacent structures, an inter-building coupling approach with the connecting damper is more efficient than an independent control approach with the bracing damper. However, the inter-building coupling approach is only valid for two different structures. When the two structures are twin, the existing inter-building coupling approach does not work properly due to the response symmetry of the twin structures. To overcome such limitations, this study proposes a new control approach based on the asymmetric coupling system where the twin buildings are coupled with the connecting damper and the additional damper is installed asymmetrically to perturb the symmetry of the twin structures. Under this intentional asymmetric condition, the proposed system can fully maintain the control efficiency of the conventional inter-building coupling approach. The tuned mass damper-based asymmetric coupling system is considered as a numerical example, and the independent control system with tuned mass damper is further taken into account for comparison purpose. For the optimal design of the proposed system, a multi-objective optimization technique was introduced, and the efficiency of the proposed approach has been investigated through the numerical simulations of the 10-story twin structures. By comparing the control performances of the optimal solutions between the proposed asymmetric coupling systems and the independent control system, it was verified that the proposed asymmetric coupling system can be a new efficient system for the vibration control of adjacent twin structures.
引用
收藏
页码:954 / 968
页数:15
相关论文
共 46 条
  • [1] Use of a shared tuned mass damper (STMD) to reduce vibration and pounding in adjacent structures
    Abdullah, MM
    Hanif, JH
    Richardson, A
    Sobanjo, J
    [J]. EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS, 2001, 30 (08) : 1185 - 1201
  • [2] DYNAMIC CHARACTERIZATION OF MULTIPLE TUNED MASS DAMPERS AND SOME DESIGN FORMULAS
    ABE, M
    FUJINO, Y
    [J]. EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS, 1994, 23 (08) : 813 - 835
  • [3] Mass ratio factor for optimum tuned mass damper strategies
    Bekdas, Gebrail
    Nigdeli, Sinan Melih
    [J]. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2013, 71 : 68 - 84
  • [4] Harmonic response of adjacent structures connected with a friction damper
    Bhaskararao, A
    Jangid, RS
    [J]. JOURNAL OF SOUND AND VIBRATION, 2006, 292 (3-5) : 710 - 725
  • [5] Tuned tandem mass dampers-inerters with broadband high effectiveness for structures under white noise base excitations
    Cao, Liyuan
    Li, Chunxiang
    [J]. STRUCTURAL CONTROL & HEALTH MONITORING, 2019, 26 (04)
  • [6] Chopra AK., 2017, Dynamics of structures, V5
  • [7] Coupled building control using acceleration feedback
    Christenson, RE
    Spencer, BF
    Hori, N
    Seto, K
    [J]. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2003, 18 (01) : 4 - 18
  • [8] Coupled building control considering the effects of building/connector configuration
    Christenson, Richard E.
    Spencer, B. F., Jr.
    Johnson, Erik A.
    Seto, K.
    [J]. JOURNAL OF STRUCTURAL ENGINEERING, 2006, 132 (06) : 853 - 863
  • [9] Nonlinear goal programming using multi-objective genetic algorithms
    Deb, K
    [J]. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2001, 52 (03) : 291 - 302
  • [10] A fast and elitist multiobjective genetic algorithm: NSGA-II
    Deb, K
    Pratap, A
    Agarwal, S
    Meyarivan, T
    [J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) : 182 - 197