2015
DOI: 10.1785/0120150019
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Nonlinear Site Models Derived from 1D Analyses for Ground‐Motion Prediction Equations Using Site Class as the Site Parameter

Abstract: Nonlinear site models are an important part of ground-motion prediction equations (GMPEs) and can be constructed in a number of ways. If numerous soil-site strong-motion records contain the effect of strong nonlinear soil response, the parameters for the nonlinear model can be a part of the regression parameters for GMPEs. It is also possible to derive nonlinear site models by numerical simulation. However, the number of strong-motion records from Japan that contain the effect of strong nonlinear soil response… Show more

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Cited by 31 publications
(9 citation statements)
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“…This bias may be due to differences between in situ and laboratory conditions, the presence of superficial layers with a significant effect (Régnier et al, 2013) or even three-dimensional geometric effects that cannot be replicated in the laboratory (e.g., Frankel et al, 2002;Assimaki et al, 2008;Sleep, 2010). In addition, the strong-motion data affected by strong soil non-linearity appeared to be insufficient in the international databases for completely empirical non-linear soil terms, which demands the use of modelling to develop such terms (e.g., Akkar et al, 2014, Zhao et al, 2015. 4 Thanks to recent efforts to install dense strong-motion networks and characterize local site conditions at these stations, it is now possible to interpret non-linearity in situ by analyzing the recorded data.…”
Section: Introductionmentioning
confidence: 99%
“…This bias may be due to differences between in situ and laboratory conditions, the presence of superficial layers with a significant effect (Régnier et al, 2013) or even three-dimensional geometric effects that cannot be replicated in the laboratory (e.g., Frankel et al, 2002;Assimaki et al, 2008;Sleep, 2010). In addition, the strong-motion data affected by strong soil non-linearity appeared to be insufficient in the international databases for completely empirical non-linear soil terms, which demands the use of modelling to develop such terms (e.g., Akkar et al, 2014, Zhao et al, 2015. 4 Thanks to recent efforts to install dense strong-motion networks and characterize local site conditions at these stations, it is now possible to interpret non-linearity in situ by analyzing the recorded data.…”
Section: Introductionmentioning
confidence: 99%
“…The period independent constraining value can be used as well (e.g., V S30 = 1000 m/s in [7] or 1130 m/s in [18]). The second behavior in site amplification is soil nonlinearity, which is again modeled using V S30 , which represents soil stiffness and input rock motion [6,7,[9][10][11][12][13][15][16][17][18][19][20][21]. The level of soil nonlinearity decreases as soil stiffness increases or input rock motion decreases.…”
Section: Introductionmentioning
confidence: 99%
“…Zhoa et al study [15] also proposed a functional form but it employs a predominant site period, so that it will not be elaborately discussed. The discussions related to previously published site models (e.g., [6,[9][10][11]20]) can be found in detail in the Sandıkkaya et al [7] study. The first functional form, proposed by Walling et al [11], is generated by employing ground motion simulations and site response analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Generally, fundamental periods of layer soil profiles were calculated by considering the engineering bedrock has a shear wave velocity of 760 m/sec (Ghofrani et al 2013, Zhao et al 2015, Wang et al 2018 or 700 m/sec (Zhao et al, 2006;Zhao and Xu, 2013). In this study, bedrock is considered to be the depth where shear wave velocity reaches to 760 m/sec.…”
Section: Data Setmentioning
confidence: 99%