Site Effects on Ground Motion Directionality: Lessons from Case Studies in Japan

Ramos-Sepulveda, Maria Elisa; Cabas, Ashly

doi:10.1016/j.soildyn.2021.106755

Cited by 10 publications

(1 citation statement)

References 29 publications

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“…The goal of the evaluation is to find 1D-like sites that can be used for the calibration of D mul and σ ln V S and thus remove the δ 1 D s SRA component in Equation 4. Therefore, the inter-event variability, indicative of the azimuthal variations in the velocity structure (Pilz et al, 2022; Ramos-Sepúlveda and Cabas, 2021), is not used in the evaluation. The correlation coefficient is computed at five frequency ranges: (1) from the first to the second TF peak, (2) from the first to the third TF peak (e.g.…”

Section: Identification Of 1d-like Sitesmentioning

confidence: 99%

A borehole array data–based approach for conducting 1D site response analyses I: Damping and V_S randomization

2023

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One-dimensional site response analysis (1D SRA) remains the state of practice to estimate site-specific seismic response, despite the ample evidence of discrepancies between observations and 1D SRA-based predictions. These discrepancies are due to errors in the input parameters, intrinsic limitations in the predicting capabilities of 1D SRAs even for sites relatively compliant with the 1D SRA assumptions, and the inability of 1D SRAs to model three-dimensional (3D) wave propagation phenomena. This article aims at reducing 1D SRA mispredictions using small-strain damping profiles factored by a damping multiplier ( Dmul) and randomized shear-wave velocity ( VS) profiles. An approach for conducting 1D SRAs for site-specific site response assessment is developed to reduce the 1D SRA errors in magnitude and variability. First, sites from a database of 534 downhole sites are classified as 1D- or 3D-like, depending on the substructure conditions inferred from observed transfer functions. Second, data from the 1D-like sites are compared against predictions from 1D SRAs conducted using various trials of Dmul and VS standard deviations [Formula: see text] for VS randomization. Third, Dmul and [Formula: see text] are selected based on their combined ability to reduce the root mean square error (RMSE) in SRA predictions. Results indicate that 1D SRAs conducted with Dmul = 3 and [Formula: see text] lead to an overall minimum RMSE and thus provide more accurate site response estimates. The use of these parameters in forward SRA predictions is discussed in a companion paper.

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Section: Identification Of 1d-like Sitesmentioning

confidence: 99%

A borehole array data–based approach for conducting 1D site response analyses I: Damping and V_S randomization

2023

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Assessing the impact of multi-directional ground motion on RC frame buildings: a data-driven approach using vulnerability functions and regression analysis

Kassem,

Mohamed Nazri,

Al-Sadoon

et al. 2024

Bull Earthquake Eng

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Effects of site response on ground motion directionality based on KiK-net records and numerical analysis

Song,

Wu,

2023

Soil Dynamics and Earthquake Engineering

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Site Effects on Ground Motion Directionality: Lessons from Case Studies in Japan

Cited by 10 publications

References 29 publications

A borehole array data–based approach for conducting 1D site response analyses I: Damping and V_S randomization

A borehole array data–based approach for conducting 1D site response analyses I: Damping and V_S randomization

Assessing the impact of multi-directional ground motion on RC frame buildings: a data-driven approach using vulnerability functions and regression analysis

Effects of site response on ground motion directionality based on KiK-net records and numerical analysis

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Site Effects on Ground Motion Directionality: Lessons from Case Studies in Japan

Cited by 10 publications

References 29 publications

A borehole array data–based approach for conducting 1D site response analyses I: Damping and VS randomization

A borehole array data–based approach for conducting 1D site response analyses I: Damping and VS randomization

Assessing the impact of multi-directional ground motion on RC frame buildings: a data-driven approach using vulnerability functions and regression analysis

Effects of site response on ground motion directionality based on KiK-net records and numerical analysis

Contact Info

Product

Resources

About

A borehole array data–based approach for conducting 1D site response analyses I: Damping and V_S randomization

A borehole array data–based approach for conducting 1D site response analyses I: Damping and V_S randomization