Seismic control of a 5-story building using neural network method

Javad Sovizi; Seyed Hossein Sadati; Tooraj Samimi Behbehan

doi:10.1109/ICMET.2010.5598364

Seismic control of a 5-story building using neural network method

Javad Sovizi, Seyed Hossein Sadati, Tooraj Samimi Behbehan

Imaging Physics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Control of structure responses induced by earthquake excitations is chiefly considered in many researches due to its heavy damages and vital harms in many cases. In this paper, a control system is developed to attenuate the vertical responses of a 5-story structure. A passive control device is proposed and 6-DOF structural model is developed. Neural Network method is employed to specify the optimum values of the controller parameters. The simulation of multi-DOF structure model is performed for several set of assumed values of the controller parameters to provide adequate data to make a trained network. The trained network is used to specify proposed controller parameters. Finally, the control system based on the Neural Network method is used and its effect on the improvement of the structure responses is evaluated.

Original language	English (US)
Title of host publication	ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings
Pages	268-272
Number of pages	5
DOIs	https://doi.org/10.1109/ICMET.2010.5598364
State	Published - 2010
Event	2010 International Conference on Mechanical and Electrical Technology, ICMET 2010 - Singapore, Singapore Duration: Sep 10 2010 → Sep 12 2010

Publication series

Name	ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings

Other

Other	2010 International Conference on Mechanical and Electrical Technology, ICMET 2010
Country/Territory	Singapore
City	Singapore
Period	9/10/10 → 9/12/10

Keywords

Controller optimum parameters
Neural network
Seismic control
Vertical response attenuation

ASJC Scopus subject areas

Electrical and Electronic Engineering
Mechanical Engineering

Access to Document

10.1109/ICMET.2010.5598364

Cite this

Sovizi, J., Sadati, S. H., & Behbehan, T. S. (2010). Seismic control of a 5-story building using neural network method. In ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings (pp. 268-272). Article 5598364 (ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings). https://doi.org/10.1109/ICMET.2010.5598364

Seismic control of a 5-story building using neural network method. / Sovizi, Javad; Sadati, Seyed Hossein; Behbehan, Tooraj Samimi.
ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings. 2010. p. 268-272 5598364 (ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sovizi, J, Sadati, SH & Behbehan, TS 2010, Seismic control of a 5-story building using neural network method. in ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings., 5598364, ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings, pp. 268-272, 2010 International Conference on Mechanical and Electrical Technology, ICMET 2010, Singapore, Singapore, 9/10/10. https://doi.org/10.1109/ICMET.2010.5598364

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abstract = "Control of structure responses induced by earthquake excitations is chiefly considered in many researches due to its heavy damages and vital harms in many cases. In this paper, a control system is developed to attenuate the vertical responses of a 5-story structure. A passive control device is proposed and 6-DOF structural model is developed. Neural Network method is employed to specify the optimum values of the controller parameters. The simulation of multi-DOF structure model is performed for several set of assumed values of the controller parameters to provide adequate data to make a trained network. The trained network is used to specify proposed controller parameters. Finally, the control system based on the Neural Network method is used and its effect on the improvement of the structure responses is evaluated.",

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Seismic control of a 5-story building using neural network method

Abstract

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Keywords

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