Ground Motion Prediction Equations for the Vertical Ground Motion Component Based on the NGA-W2 Database

Gülerce, Zeynep; Kamai, Ronnie; Abrahamson, Norman A.; Silva, Walter J.

doi:10.1193/121814eqs213m

Cited by 56 publications

(41 citation statements)

References 27 publications

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“…Ambraseys et al, 2005; Bindi et al, 2011). Lately, GMPE developers in the NGA-West2 project (Bozorgnia et al, 2014) released their models for the vertical component based on the NGA-West2 database (Bozorgnia and Campbell, 2016; Gülerce et al, 2017; Stewart et al, 2016). For the purposes of this study, we use two of these vertical component GMPEs, namely, GKAS16 (Gülerce et al, 2017) and SBSA15 (Stewart et al, 2016).…”

Section: Review Of Available Gmpes and Correlation Models For Verticamentioning

confidence: 99%

“…While, recently, several GMPEs for vertical ground motions have been developed (e.g. Bozorgnia and Campbell, 2016; Gülerce et al, 2017; Stewart et al, 2016), albeit not as prevalently as for the horizontal component, fewer correlation models for vertical–vertical and vertical–horizontal intensity measures ( IM s) are available. This study provides updated correlation coefficient estimates, based on the NGA-West2 (Ancheta et al, 2014) database, between IM s pertaining to the vertical ground motion and other IM s of the horizontal component, such as spectral acceleration ( SA ) or duration.…”

Section: Introductionmentioning

confidence: 99%

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Correlation of spectral acceleration values of vertical and horizontal ground motion pairs

Kohrangi¹,

Παπαδόπουλος

Bazzurro

et al. 2020

Earthquake Spectra

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We present correlation coefficient estimates between a number of ground motion intensity measures ( IMs), as measured from the NGA-West2 database, with focus on the correlation of vertical–vertical and vertical–horizontal ground motion components. The IMs considered include spectral accelerations with periods from 0.01 to 10 s, peak ground acceleration, peak ground velocity, and significant duration (for 5%–75% and 5%–95% definitions). To facilitate their use, parametric equations are also fitted to the correlation models. Finally, the dependence of the obtained correlation coefficients to magnitude, distance, and Vs30 is evaluated.

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Section: Review Of Available Gmpes and Correlation Models For Verticamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Correlation of spectral acceleration values of vertical and horizontal ground motion pairs

Kohrangi¹,

Παπαδόπουλος

Bazzurro

et al. 2020

Earthquake Spectra

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“…Figure 11. The proposed V/H response spectral ratio model in comparison with the CY13 (Chiou and Youngs, 2013, in PEER 2013), SSBA16 (Stewart et al, 2016), GKAS17 (Gülerce et al, 2017), and BC16 (Bozorgnia and Campbell, 2016b) models using M 5.5 and R Rup 50 km for soil (V S30 270 m=s) and rock (V S30 760 m=s) site conditions. The color version of this figure is available only in the electronic edition.…”

Section: Data and Resourcesmentioning

confidence: 99%

“…The first is to perform a probabilistic seismic-hazard analysis (PSHA) using vertical ground-motion prediction equations (GMPEs) to estimate the vertical ground-motion hazard. For instance, western United States (WUS) vertical GMPEs are developed using the Pacific Earthquake Engineering Research Center-Next Generation Attenuation (PEER NGA)-West2 ground-motion database for the vertical component of peak ground acceleration (PGA), peak ground velocity (PGV), and pseudospectral acceleration (PSA) values by Chiou and Youngs (2013) in PEER (2013), Bozorgnia and Campbell (2016a), Stewart et al (2016), and Gülerce et al (2017). However, there are some drawbacks to applying this approach in other regions.…”

Section: Introductionmentioning

confidence: 99%

A Study of Vertical‐to‐Horizontal Ratio of Earthquake Components in the Gulf Coast Region

Haji‐Soltani¹,

Pezeshk

Malekmohammadi³

et al. 2017

Bulletin of the Seismological Society of America

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A new ground-motion prediction model is developed for the response spectral ratio of vertical-to-horizontal (V/H) components of earthquakes for the Gulf Coast region. The proposed V/H response spectral ratio model has the advantage of considering the earthquake magnitude, source-to-site distance, and the shear-wave velocity of soil deposits in the upper 30 m of the site (V S30) for the peak ground acceleration, and a wide range of spectral periods (0.01-10.0 s). The model is based on a comprehensive set of regression analyses of the newly compiled Next Generation Attenuation-East database of available central and eastern North America recordings with the moment magnitudes M ≥ 3:4 and the rupture distances R Rup < 1000 km. The 50th percentile (or median) pseudospectral acceleration values computed from the orthogonal horizontal components of ground motions rotated through all possible nonredundant rotation angles, known as the RotD50 (Boore, 2010), is used along with the vertical component to perform regression using a nonlinear mixed-effects regression algorithm. The predicted V/H ratios from the proposed model are compared with the recently published V/H spectral ratio models for different regions. The derived V/H ratios can be used to develop the vertical response spectra for the sites located within the Gulf Coast region, which include the Mississippi embayment.

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“…In the seismic design of critical structures such as nuclear power plants and dams, vertical ground motions are frequently considered. However, some researches over the previous ten years recommend that the vertical ground motion component can have a great impact on the seismic response of common highway bridges especially for the sites placed in almost 15 km of major faults, as well [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Seismic Response of Steel SMFs Subjected to Vertical Components of Far‐ and Near‐Field Earthquakes with Forward Directivity Effects

Shahbazi¹,

Mansouri

et al. 2019

Advances in Civil Engineering

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In the near-field earthquake, forward directivity effects cause long-period pulse with a short effective time and a large domain in the velocity time history. This issue increases the ductility needs of structures, and in recent decades, the destructive effects of these kinds of records have been evaluated in comparison with far-field earthquakes. This brings about the necessity to compare a structure’s behavior subjected to vertical components of near-field (NF) earthquakes, including forward directivity effects vs. the effects of vertical components of far-field (FF) earthquakes. The present study investigated 3-, 5-, 8-, and 20-story steel moment frames with special ductility (SMF) through which modeling effects of panel zone have been applied, subjected to vertical component of near-field (NF) earthquakes with forward directivity and the vertical component of far-field earthquakes. By investigating the results, it can be clearly seen that the average values of the maximum displacement, shear force of the stories, and the velocity of each story under the impact of the near-field earthquake are greater than the amount of that under the effect of a far-field earthquake. However, this comparison is not valid for the amount of acceleration, axial force, and moments in the columns of the structures accurately.

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Ground Motion Prediction Equations for the Vertical Ground Motion Component Based on the NGA-W2 Database

Cited by 56 publications

References 27 publications

Correlation of spectral acceleration values of vertical and horizontal ground motion pairs

Correlation of spectral acceleration values of vertical and horizontal ground motion pairs

A Study of Vertical‐to‐Horizontal Ratio of Earthquake Components in the Gulf Coast Region

Seismic Response of Steel SMFs Subjected to Vertical Components of Far‐ and Near‐Field Earthquakes with Forward Directivity Effects

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