DYNA JOURNAL ENGINEERING

Key words:

Negative stiffness damper, Structural parameter damping, Interlayer displacement peak, Genetic algorithm, Parameter optimization, Amortiguador de rigidez negativa, Amortiguación de parámetros estructurales, Pico de desplazamiento entre capas, Algoritmo genético, Optimización de parámetros

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

RESEARCH ARTICLES

Increasing negative stiffness may lead to enhanced interlayer displacement. Therefore, the influence of many factors between pseudo-negative stiffness dampers and interlayer displacement should be analyzed. In order to reveal the qualitative relationship between hybrid damping and structural parameters, a novel method that optimizes the structural parameters of dampers based on based on seismic waves method with the help of MATLAB and the SAP2000 OAPI function platform is proposed. First, a negative stiffness damper was approximately simulated by the combination of a parallel damper unit and a multiline elastic unit, and the corresponding benchmark model was investigated. Second, the optimization program of structural damper damping based on a genetic algorithm was developed. Optimization analysis of the mixed damping of positive and negative stiffness dampers was conducted on the 20-story steel frame benchmark model. The damping of different stiffness was summarized on the basis of the analysis results, and the general arrangement principle of the device in the high-rise structure was discussed in the study. Finally, the hybrid damping was formed by the pseudo-negative stiffness damper and the traditional positive stiffness damper. The layout principle and vibration reduction effect of the hybrid damping were verified by experiments under MATLAB and the SAP2000 OAPI function platform. Results show that the top floor acceleration of the structure under the action of the El Centro wave and Kobe wave is reduced by approximately 15% when the pseudo-negative stiffness damper is used. Meanwhile, the displacement of the lower part of the structure is increased by only 5%. Furthermore, enhanced control results can be obtained by the different control strategies and a thorough analysis of the influencing factors used in layers 2–12 and 13–20. The proposed method provides references for optimizing the experimental platform construction and experimental evaluation of hybrid damping dampers.

Keywords: Negative stiffness damper, Structural parameter damping, Interlayer displacement peak, Genetic algorithm, Parameter optimization