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A Modified Frequency-Dependent Equivalent Linear Method for Seismic Site Response Analyses and Model Validation using KiK-Net Borehole Arrays
A modified frequency-dependent equivalent linear method (M-FD-EQL) is proposed to improve 1D site response at high frequencies. A combination factor is used to interpolate the strain spectrum between the equivalent linear method (EQL) and the frequency-dependent equivalent linear method (FD-EQL). Extensive validation tests have been conducted to benchmark the proposed method with nonlinear analyses of generic sites, and 383 borehole array data from the KiK-net. Based on model validation, an optimal combination factor of 0.2–0.3 in the M-FD-EQL scheme gives an overall best result, and provides improved site response estimates at high frequencies compared with the EQL and FD-EQL methods.
A Modified Frequency-Dependent Equivalent Linear Method for Seismic Site Response Analyses and Model Validation using KiK-Net Borehole Arrays
A modified frequency-dependent equivalent linear method (M-FD-EQL) is proposed to improve 1D site response at high frequencies. A combination factor is used to interpolate the strain spectrum between the equivalent linear method (EQL) and the frequency-dependent equivalent linear method (FD-EQL). Extensive validation tests have been conducted to benchmark the proposed method with nonlinear analyses of generic sites, and 383 borehole array data from the KiK-net. Based on model validation, an optimal combination factor of 0.2–0.3 in the M-FD-EQL scheme gives an overall best result, and provides improved site response estimates at high frequencies compared with the EQL and FD-EQL methods.
A Modified Frequency-Dependent Equivalent Linear Method for Seismic Site Response Analyses and Model Validation using KiK-Net Borehole Arrays
Huang, Duruo (author) / Wang, Gang (author) / Wang, Chaoyi (author) / Jin, Feng (author)
Journal of Earthquake Engineering ; 24 ; 827-844
2020-05-03
18 pages
Article (Journal)
Electronic Resource
English
| Taylor & Francis Verlag | 2024
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