4.6 Article

Scaling ratios for spectral accelerations caused by seismic site effect under site condition classifications in China

Journal

FRONTIERS IN EARTH SCIENCE
Volume 10, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/feart.2022.1112202

Keywords

seismic site effect; local site condition; site scaling ratio; near-surface geology; spectral acceleration; strong motion record; NGA West 2 database; KiK-net

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The scaling ratios for spectral accelerations (Sa) under different site condition classifications were quantified through an integrated approach. This approach incorporated scaling ratios for peak ground acceleration, scaling ratios for PGA-normalized Sa, and non-linear decay exponents, which were derived from a combination of recent studies, numerical simulations, and observation data. The resulting scaling ratios for Sa provide more reliable and reasonable estimates of the seismic site effect in China.
The spectral accelerations (Sa), which are widely used as ground motion inputs in structural seismic designing, are significantly affected by local site conditions classified by near-surface geology. A novel approach of quantifying the scaling ratios for Sa on site class I, II, III, and IV under the site condition classifications in Chinese seismic codes, was proposed. In this integrated approach, the scaling ratios for Sa on each site class were subordinated to three constituents, i.e., scaling ratios for peak ground acceleration (PGA), scaling ratios for PGA-normalized Sa, and non-linear decay exponents. The scaling ratios for peak ground acceleration were derived from recent studies and numerical simulations of 1,138 borehole models in China, the scaling ratios for PGA-normalized Sa were derived from 3,584 strong motion records in NGA West two database, and the non-linear decay exponents were derived from about 140 thousand borehole observation data recorded by KiK-net. Consequently, this approach was solidly based on statistics of observation data in company with numerical simulations, which resulted in more reasonable and more reliable scaling ratios for Sa caused by the seismic site effect under site condition classifications in China.

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