Regional Correlations of VS30 and Velocities Averaged Over Depths Less Than and Greater Than 30 Meters

Boore, David M.; Thompson, Eric M.; Cadet, Héloïse

doi:10.1785/0120110071

Cited by 168 publications

(117 citation statements)

References 35 publications

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“…For the K-NET network, as the surveys were made down to 20 m in depth, the V S30 must be estimated. Using the KiK-net velocity models, Boore et al (2011) provided equations that related V S30 to V SZ for Z ranging from 5 to 29 m, in 1 m increments. V S30 was thus estimated from these equations for the K-NET network.…”

Section: Introductionmentioning

confidence: 99%

Rock and Stiff-Soil Site Amplification: Dependency on VS30 and Kappa ( 0)

Laurendeau¹,

Cotton²,

Ktenidou³

et al. 2013

Bulletin of the Seismological Society of America

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A ground-motion prediction equation (GMPE) specific to rock and stiffsoil sites is derived using seismic motion recorded on high V S30 sites in Japan. This GMPE applies to events with 4:5 ≤ M w ≤ 6:9 and V S30 ranging from 500 to 1500 m=s (stiff-soil to rock sites). The empirical site coefficients obtained and the comparison with the simulated site functions show that seismic motion on rock and stiff-soil sites does not depend only on V S30 , but also on the high-frequency attenuation site properties (κ 0 ). The effects of the site-specific κ 0 on site amplification are analyzed using stochastic simulations, with the need to take into account both of these parameters for rock-site adjustments. Adding the site-specific κ 0 into the GMPEs thus appears to be essential in future work. The rock-site stochastic ground-motion simulations show that the sitespecific κ 0 controls the frequency corresponding to the maximum response spectral acceleration (f amp 1). This observation is used to link the peak of the response spectral shape to κ 0 in this specific Japanese dataset and then to add the effects of high-frequency attenuation into the previous GMPE from the peak ground acceleration and up to periods of 0.2 s. The inclusion of κ 0 allows the observed bias to be corrected for the intraevent residuals and thus reduces sigma. However, this κ 0 determination is limited to a minimum number of rock-site records with M w ≥ 4:5 and to distances of less than 50 km.

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Section: Introductionmentioning

confidence: 99%

Rock and Stiff-Soil Site Amplification: Dependency on VS30 and Kappa ( 0)

Laurendeau¹,

Cotton²,

Ktenidou³

et al. 2013

Bulletin of the Seismological Society of America

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“…Chinese researchers and engineers should know a corresponding relation between the two classifications, in their applications of the NGA database. By means of the progresses in [7] and [8], two of the authors of this paper presented a formula for the relation between VS20 and Vs30 with Tp as Equation 2 [9]. 20 30 log 0.1411 1.019 log 0.0634…”

Section: The Formula Adopted To Estimate Vs20 and Hmentioning

confidence: 99%

A Way to Take Predominate Period into Account in Site Classification

Li¹,

Tao²,

Zhang³

et al. 2018

dtetr

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In order to take the predominate period Tp into account in site classification，a formula is adopted as the relation between VS20 with Vs30 and Tp. The Tp of 233 sites with data of shear wave velocity profiles from NGA-west2 databank are calculated by two approaches. Site categories of the 233 sites are classified from the formula and their values of VS30 and Tp. The coincidences of the results with the site categories from the profiles directly show that the Tp by Quarter-wavelength Approximation is better than that from Tp' by H/V spectral ratio.

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“…Based on Boore's work [5], Wang suggested a formula to estimate average shear wave velocity above depth z from the other two velocities respectively above depthsz1 and z2, given z1<z2, as follows [3]. log log log log ( ) [log ( )-log ( )] log log…”

Section: Relation Between Vs30 and Vs20 Adopted In This Papermentioning

confidence: 99%

A Way to Evaluate the Site Classification by Chinese Seismic Design Specification From VS30data of NGA

Sun¹,

Tao²,

Zhi³

2017

Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)

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Abstract. On the basis of Vs30 and Vs20calculated from shearwave velocity profiles of 732 boreholes, a formula to estimate Vs20 from Vs30 is presented in this paper by reference to a recent suggestion, an iterative process to estimate rough overburden thickness is suggested based on two formulas for the average velocity at depth z from Vs30 and Vs20, and the velocity between two depths. A way to evaluate the site category by Chinese classification from the corresponding Vs30 is worked out.

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Regional Correlations of VS30 and Velocities Averaged Over Depths Less Than and Greater Than 30 Meters

Cited by 168 publications

References 35 publications

Rock and Stiff-Soil Site Amplification: Dependency on VS30 and Kappa ( 0)

Rock and Stiff-Soil Site Amplification: Dependency on VS30 and Kappa ( 0)

A Way to Take Predominate Period into Account in Site Classification

A Way to Evaluate the Site Classification by Chinese Seismic Design Specification From VS30data of NGA

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