Prediction Equations for Estimating Shear-Wave Velocity from Combined Geotechnical and Geomorphic Indexes Based on Japanese Data Set
- Authors
- Kwak, Dong Youp; Brandenberg, Scott J.; Mikami, Atsushi; Stewart, Jonathan P.
- Issue Date
- Aug-2015
- Publisher
- Seismological Society of America
- Citation
- Bulletin of the Seismological Society of America, v.105, no.4, pp.1919 - 1930
- Indexed
- SCIE
SCOPUS
- Journal Title
- Bulletin of the Seismological Society of America
- Volume
- 105
- Number
- 4
- Start Page
- 1919
- End Page
- 1930
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/17456
- DOI
- 10.1785/0120140326
- ISSN
- 0037-1106
- Abstract
- We develop empirical predictive equations for shear-wave velocity (V-S) conditional on standard penetration test resistance (N-value) and other explanatory variables using data sets from Japan. The V-S and N data sets are from the Kyoshin network (K-NET), which include 16,845 collocated measurements of V-S and N at 1102 sites. We begin with baseline equations considering soil type and overburden pressure in addition to N. For coarse-grained soils, V-S is more sensitive to overburden pressure than to N, whereas for fine-grained soils, V-S is more sensitive to N. We find that residuals (difference between data and model) for a given borehole tend to be correlated (e.g., samples within a boring are consistently high or low); hence, we use mixed-effects regression to compute a quantity akin to an average borehole residual referred to as the between-boring residual. Sites associated with older (pre-Holocene, > 10,000 yrs) geology tend to have null to slightly positive between-boring residuals, whereas these residuals are negative for more recent materials. Accordingly, we provide adjustments to the baseline equations conditional on geologic condition. Between-boring residuals exhibit spatial correlations; however, due to lack of knowledge as to the cause of these correlations, we do not recommend such effects for inclusion in the model. When applied to predict the time-averaged V-S in the upper 30 m (V-S30) in the absence of direct measurement, the proposed equations provide significantly better accuracy than widely used local geomorphology-based proxies (0.26 versus 0.42 of standard deviation of the natural log of residuals). This suggests that penetration resistance data can improve predictions of V-S30 compared with geomorphology-based proxies alone, when site-specific V-S measurements are unavailable.
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Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING > 1. Journal Articles
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