2023
DOI: 10.1016/j.jobe.2023.106172
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Optimal design of negative-stiffness dampers for improved efficiency of structural seismic isolation

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Cited by 10 publications
(2 citation statements)
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“…The optimization study is conducted by using Genetic Algorithm (GA), vide the toolbox provided in MATLAB (R2016a). GA has earlier been used to optimize inerter parameters, such as in the recent work by Luo et al (2023), in which GA has been applied for the multi-objective optimization design of different negative-stiffness dampers, namely, negative-stiffness viscous damper (NSVD), negative-stiffness viscoelastic damper (NSVeD), and negative-stiffness inertoviscous damper (NSiVD), individually incorporated into a base-isolated building. In the current study, the parameters used to characterize GA are: (i) Population size – 50 individuals; (ii) Fitness scaling function – Rank; (iii) Crossover function scattered with a crossover fraction – 0.8; (iv) Stopping criteria – 200 (=100*number of variables) generations or function tolerance of 10 -6 .…”
Section: Numerical Studymentioning
confidence: 99%
“…The optimization study is conducted by using Genetic Algorithm (GA), vide the toolbox provided in MATLAB (R2016a). GA has earlier been used to optimize inerter parameters, such as in the recent work by Luo et al (2023), in which GA has been applied for the multi-objective optimization design of different negative-stiffness dampers, namely, negative-stiffness viscous damper (NSVD), negative-stiffness viscoelastic damper (NSVeD), and negative-stiffness inertoviscous damper (NSiVD), individually incorporated into a base-isolated building. In the current study, the parameters used to characterize GA are: (i) Population size – 50 individuals; (ii) Fitness scaling function – Rank; (iii) Crossover function scattered with a crossover fraction – 0.8; (iv) Stopping criteria – 200 (=100*number of variables) generations or function tolerance of 10 -6 .…”
Section: Numerical Studymentioning
confidence: 99%
“…This device can avoid resonance to achieve controlled displacements and accelerations under various earthquake scenarios. Luo et al [43] investigated the earthquake resistance of a base-isolated structure with different negative stiffness damping models and proposed a method for designing these models utilizing multi-objective optimization. Through a combination of magnetic negative stiffness spring and eddy current damping, Shan et al [44] proposed an innovative subsystem with better energy transition behavior to enhance the performance of existing base isolation.…”
Section: Introductionmentioning
confidence: 99%