Nonlinear equivalent sdof analysis of steel frame structures using parameters estimated from recorded floor acceleration response: An experimental case study

Author:

Pham Quang-Vinh1,Kusunoki Koichi1,Maida Yusuke1,Yeow Trevor1

Affiliation:

1. The University of Tokyo, Tokyo, Japan

Abstract

In practice, the building displacement response is often estimated from acceleration using double integration due to the expensiveness and difficulty of measuring displacement. However, a high-pass filter is needed to eliminate the low-frequency component due to the existence of indistinguishable lowfrequency noise that incurred during the double integrating process. As a result, the displacements obtained from accelerations may have large errors, especially when the structure has significant nonlinear deformation. This study aims to estimate the displacement response of steel frame structures by firstly estimating SDOF hysteretic parameters from the acceleration response data, and then by performing numerical analysis using the extracted hysteresis model. The proposed approach was verified using experimental data from shaking table test of three identical 5-story steel frame structures subjected to different seismic records. The results show that the SDOF analysis maximum displacement has higher accuracy than the equivalent SDOF maximum displacement estimated from recorded floor acceleration response data that is recently used for post-earthquake building assessment.

Publisher

Vietnam Institute for Building Science and Technology

Subject

Ocean Engineering,General Earth and Planetary Sciences,General Engineering,General Environmental Science,General Medicine,Development,Geography, Planning and Development,General Earth and Planetary Sciences,General Environmental Science,Materials Chemistry

Reference8 articles.

1. [1] T. Y. Hsu, Q. V. Pham, W. C. Chao, and Y. S. Yang, “Post-earthquake building safety evaluation using consumer-grade surveillance cameras,” Smart Struct Syst, vol. 25, no. 5, pp. 531–541, May 2020, doi: 10.12989/ sss.2020.25.5.531.

2. [2] H. Pan and K. Kusunoki, “A wavelet transformbased capacity curve estimation approach using seismic response data,” Struct Control Health Monit, vol. 25, no. 12, Dec. 2018, doi: 10.1002/stc.2267.

3. [3] T. Z. Yeow and K. Kusunoki, “Unbiased rank selection for automatic hysteretic response extraction of RC frame buildings using acceleration recordings for post-earthquake safety evaluations,” Earthq Eng Struct Dyn, vol. n/a, no. n/a, doi: https://doi.org/10.1002/ eqe.3577.

4. [4] Q.-V. Pham, K. Kusunoki, Y. Maida, and T. Yeow, “Improving the Accuracy of Peak Building Response Estimated from Accelerometer Data for Steel Frames Using SDOF Analysis,” in JAEE Annual Meeting 2022, 2022.

5. [5] Yeow TZ and Kusunoki K, “Deformation modedependent safety limit estimation for buildings without sensors on some floors: research outline,” Proceedings of the 17th Annual Meeting of Japan Association for Earthquake Engineering, Sapporo, Japan., 2022.

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