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A Mixed Control System of 3D High Rise Benchmark Building Model Based on Genetic Algorithm

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Advanced Materials Research
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Abstract

In the former research, the Damper control system, TMD control system and the Mixed Control of the active control and passive control were all optimized alone. It is found that less research of the optimization is on the Mixed Control of the Damper system and TMD system. In order to achieve better control effect, we venture to propose a Mixed Control system of third-generation three-dimensional 20-storey Benchmark model under the multi-directional earthquake in this paper. By means of Rayleigh damping and D-value, dynamic equations including the damping matrixes, stiffness matrixes of the structure are obtained. Then in the process of the optimization, the displacement reducing coefficient (DRF) is used as the objective function to optimize the placement of damping devices and control parameters based on Genetic Algorithm (GA). Numerical results in this paper show that the optimal design method proposed in this paper is effective and flexible. It can obviously reduce the seismic responses of building structure.
A Mixed Control System of 3D High Rise Benchmark Building Model
Based on Genetic Algorithm
Jianlin zhang
1, a
, Zhi Hong
2,b
, Qian Lin
2
and Jiesheng Jiang
1
1
School of Mechanics and Civil Engineering, Northwestern Polytechnical University
Xi’an, 710072, P.R. China
2 School of Architecture and Civil Engineering, Xiamen University,
Xiamen, 361005, P.R. China
azhangjl@xmu.edu.cn, b373716422_@163.com
Keywords: Mixed Control System; Benchmark Model; Genetic Algorithm
Abstract. In the former research, the Damper control system, TMD control system and the Mixed
Control of the active control and passive control were all optimized alone. It is found that less
research of the optimization is on the Mixed Control of the Damper system and TMD system. In
order to achieve better effect, we venturecontrol systemMixeda ofto propose Control
third-generation three-dimensional 20-storey Benchmark under the multi-directionalmodel
earthquake in this paper. By means of Rayleigh damping and D-value, dynamic equations including
the damping matrixes, stiffness matrixes of the structure are obtained. Then in the process of the
optimization, the displacement reducing coefficient (DRF) is used as the objective function to
optimize the placement of damping devices and control parameters based on Genetic Algorithm
(GA). Numerical results in this paper show that the optimal design method proposed in this paper is
effective and flexible. It can obviously reduce the seismic responses of building structure.
Introduction
In recent years, vibration control technique on structure which can decrease the response of wind
vibration and earthquake used in practical engineering attracts more and more attention. Many new
control techniques and energy dissipation systems appear one after another. For example, the
Damper system, TMD system, AMD system, and MTMD system etc. It is considered that the
Damper control system has a better effect on the floor displacement control, especially for the
storey drift control. The storey drift were improved when the damper was installed. On the other
hand, it is regarded that the TMD system and MTMD system has a significantly effect on the
control of the Maximum displacement of top floor, however, worse effect on the control of the
Maximum displacement of other floors and storey drift, even appear counter-effect. But in the
former research, the Damper control system, TMD control system or the Mixed Control of the
active control and passive control were all optimized alone. It is found that less research of the
optimization is on the hybrid control of the Damper system and TMD system. Furthermore, the
structural models was limited as plane frame model, since it neglects several important responsive
characteristics, such as the twist coupling effect and lateral displacement, it may lead some serious
errors in the design. In order to improve the shortcomings of the Damper system and TMD system,
combine with their respective advantages reasonably. In this paper, 20-storey Benchmark model [1]
Advanced Materials Research Online: 2010-12-06
ISSN: 1662-8985, Vols. 163-167, pp 2862-2867
doi:10.4028/www.scientific.net/AMR.163-167.2862
© 2011 Trans Tech Publications Ltd, All Rights Reserved
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Article
Research is made on the optimum design method for tuned mass damper (TMD) suppressing vibration of tall buildings under earthquake. The mechanism of TMD system to highrise structure modal control is analyzed. The design tables for TMD optimum parameters are given by using iteration. Effect of modal participating factor is considered on TMD optimum parameters. The design steps for TMD-highrise structure system under earthquake are given. Eventually, a numerical example is given to demonstrate application of the method proposed.
Article
This paper presents the overview and problem definition for a benchmark structural control problem. The structure considered — chosen because of the widespread interest in this class of systems (Soong 1990; Housner, et al. 1994b; Fujino, et al. 1996) — is a scale model of a three-story building employing an active mass driver. A model for this structural system, including the actuator and sensors, has been developed directly from experimentally obtained data and will form the basis for the benchmark study. Control constraints and evaluation criteria are presented for the design problem. A simulation program has been developed and made available to facilitate comparison of the efficiency and merit of various control strategies. A sample control design is given to illustrate some of the design challenges.
Using Genetic Algorithm By MATLAB. Computer Applications and research
  • Guohua Liu
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Guohua Liu, Hong Bao, Wenchao Li: Using Genetic Algorithm By MATLAB. Computer Applications and research.2001,(8):80-82. (in China)
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Jianning Ye: The Research of Vibration Control of Benchmark Model Based on Genetic Algorithm.Master Thesis of Xiamen University.(2010) (in China)
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Ray Clough, Joseph Penzien:Dynamics of Structures. Computers and Structures,Inc.(1995) Advanced Materials Research Vols. 163-167 2867