Optimization of Seismic Base Isolation System Using Adaptive Harmony Search Algorithm

被引:18
|
作者
Ocak, Ayla [1 ]
Nigdeli, Sinan Melih [1 ]
Bekdas, Gebrail [1 ]
Kim, Sanghun [2 ]
Geem, Zong Woo [3 ]
机构
[1] Istanbul Univ Cerrahpasa, Dept Civil Engn, TR-34320 Istanbul, Turkey
[2] Temple Univ, Dept Civil & Environm Engn, Philadelphia, PA 19122 USA
[3] Gachon Univ, Coll IT Convergence, Seongnam 13120, South Korea
关键词
harmony search; adaptive harmony search; seismic isolation; structural control; optimization; TRIPLE FRICTION PENDULUMS; OPTIMUM DESIGN; PROTECTION; RUBBER;
D O I
10.3390/su14127456
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, a seismic isolator placed on the base of a structure was optimized under various earthquake records using an adaptive harmony search algorithm (AHS). As known, the base-isolation systems with very low stiffness provide a rigid response of superstructure, so it was assumed that the structure is rigid and the base-isolated structure can be considered as a single-degree of freedom structure. By using this assumption, an optimization method that is independent of structural properties but specific to the chosen earthquake excitation set is proposed. By taking three different damping ratio limits and isolator displacement limits, the isolator period and damping ratio were optimized so that the acceleration of the structure was minimized for nine cases. In the critical seismic analysis performed with optimum isolator parameters, the results obtained for different damping ratios and isolator periods were compared. From the results, it is determined that isolators with low damping ratios require more ductility, and as the damping ratio increases, further restriction of the movement of the isolator increases the control efficiency. Thus, it is revealed that increasing the ductility of the isolator is effective in reducing the total acceleration in the structure.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Stacking sequence optimization for maximum buckling load of composite plates using harmony search algorithm
    de Almeida, Felipe Schaedler
    COMPOSITE STRUCTURES, 2016, 143 : 287 - 299
  • [32] Semi-self-adaptive harmony search algorithm
    Xinchao Zhao
    Zhaohua Liu
    Junling Hao
    Rui Li
    Xingquan Zuo
    Natural Computing, 2017, 16 : 619 - 636
  • [33] Adaptive probabilistic harmony search for binary optimization problems
    Salman, Ayed A.
    Omran, Mahamed G.
    Ahmad, Imtiaz
    MEMETIC COMPUTING, 2015, 7 (04) : 291 - 316
  • [34] A Novel Self-Adaptive Harmony Search Algorithm
    Luo, Kaiping
    JOURNAL OF APPLIED MATHEMATICS, 2013,
  • [35] Adaptive probabilistic harmony search for binary optimization problems
    Ayed A. Salman
    Mahamed G. Omran
    Imtiaz Ahmad
    Memetic Computing, 2015, 7 : 291 - 316
  • [36] Application of the Harmony Search optimization algorithm for the solution of the multiple dam system scheduling
    Ioannis P. Kougias
    Nicolaos P. Theodossiou
    Optimization and Engineering, 2013, 14 : 331 - 344
  • [37] Application of the Harmony Search optimization algorithm for the solution of the multiple dam system scheduling
    Kougias, Ioannis P.
    Theodossiou, Nicolaos P.
    OPTIMIZATION AND ENGINEERING, 2013, 14 (02) : 331 - 344
  • [38] Reliability-based design optimization of adaptive sliding base isolation system for improving seismic performance of structures
    Peng, Yongbo
    Ma, Yangying
    Huang, Tianchen
    De Domenico, Dario
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 205
  • [39] A Harmony search algorithm for the no-wait flow shop optimization scheduling
    Gao Kaizhou
    Pan Quanke
    Zuo Fengchao
    Duan Junhua
    PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE, 2010, : 1723 - 1726
  • [40] Genetic Algorithm, Particle Swarm Optimization and Harmony Search: A Quick Comparison
    Sharma, Sonia
    Pandey, Hari Mohan
    2016 6TH INTERNATIONAL CONFERENCE - CLOUD SYSTEM AND BIG DATA ENGINEERING (CONFLUENCE), 2016, : 40 - 44