A NewEarthquake Load Identification Method Based on the Kanai-Tajimi Model
Author(s): FAN Cunxin, LAI Tao, FANG Youzhen, HUAN Wenchao, Jiangsu Key Laboratory of Structure Engineering, University of Science and Technology of Suzhou, Faculty of Infrastructure Engineering, Dalian University of Technology
Pages: 426-432
Year: 2015 Issue: 3
Journal: Journal of Shenyang Jianzhu University(Natural Science)
Keyword: load identification; Kanai-Tajimi model; Kalman filter; earthquake excitation;
Abstract: The purpose of this paper is to study an newearthquake excitation load identification method for providing a newway of identification for dynamic behavior and damage of structures.Adopting the Kanai-Tajimi model,a unit intensity white-noise process was simulated as a unknown earthquake excitation and subjected to a structure. Taking structure responses calculated by numerical simulation as observations and using Kalman filter,the unknown load state was estimated. From the acceleration responses of the structure,the earthquake excitation equivalent loads were obtained. It is found that the maximum error ratio is about 7%,if the input observation noise is 5%.And the maximum error ratio is about 8% with 10% input observation noise. Calculated results ofexamples indicate that the proposed method has higher precision and good identification result.
Pages: 426-432
Year: 2015 Issue: 3
Journal: Journal of Shenyang Jianzhu University(Natural Science)
Keyword: load identification; Kanai-Tajimi model; Kalman filter; earthquake excitation;
Abstract: The purpose of this paper is to study an newearthquake excitation load identification method for providing a newway of identification for dynamic behavior and damage of structures.Adopting the Kanai-Tajimi model,a unit intensity white-noise process was simulated as a unknown earthquake excitation and subjected to a structure. Taking structure responses calculated by numerical simulation as observations and using Kalman filter,the unknown load state was estimated. From the acceleration responses of the structure,the earthquake excitation equivalent loads were obtained. It is found that the maximum error ratio is about 7%,if the input observation noise is 5%.And the maximum error ratio is about 8% with 10% input observation noise. Calculated results ofexamples indicate that the proposed method has higher precision and good identification result.
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