NGA-West2 Equations for Predicting PGA, PGV, and 5% Damped PSA for Shallow Crustal Earthquakes

By D. Boore, J. Stewart, E. Seyhan, G. Atkinson. 2014

1,560 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Geophysics

View Paper: https://www.semanticscholar.org/paper/3c5bce70ba83ff646975f555633eb97356d974b1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. E. Thompson
2. C. Cauzzi
3. K. Campbell
4. Y. Bozorgnia
5. J. Stewart
6. Kioumars Afshari
7. D. Boore
8. E. Faccioli

In Geophysics

1. E. Thompson
2. J. Stewart
3. K. Campbell
4. Y. Bozorgnia
5. Kioumars Afshari
6. D. Boore
7. Frank Scherbaum
8. C. Cauzzi

Citations in the corpus

• Path Durations for Use in the Stochastic‐Method Simulation of Ground Motions (2014, methodology): “Equation (1) was used for the 15,923 records in the NGA-West2 database that met the selection criteria of Boore et al. (2014).”
• Ground-motion models for average spectral acceleration in a period range: direct and indirect methods (2017, methodology): “Boore et al. (2014), however, allowed this parameter to take negative values, based on their non- parametric studies of NGA-West2 dataset, and physics-based simulations.”
• Updated predictive equations for broadband (0.01–10 s) horizontal response spectra and peak ground motions, based on a global dataset of digital acceleration records (2015, methodology): “…show a peak at ∼0.07 s, that might be explained by physical considerations, including a) variations in the source stress parameter (stress-drop) for small magnitude earthquakes (effect not present for larger earthquakes) and b) variations in k0 for larger magnitude events (Boore et al. 2014).”
• The promise of implementing machine learning in earthquake engineering: A state-of-the-art review (2020, methodology): “Conventional empirical methods relied on regression analyses to derive attenuation equations for different intensity measures of ground motions as Pred functions of the source, path, and site parameters (Boore and Atkinson, 2008; Boore et al., 2014; Douglas, 2003).”
• NGA-West2 Ground Motion Model for the Average Horizontal Components of PGA, PGV, and 5% Damped Linear Acceleration Response Spectra (2014, methodology): “A similar short-period peak in τ was found by Abrahamson et al. (2013, 2014), Boore et al. (2013, 2014), and Chiou and Youngs (2013) using the NGA-West2 database, by Akkar et al. (2013) using data from Europe and the Middle East, and by Rodriguez-Marek et al. (2011) using data from Japan.”
• On the Relationship between Fourier and Response Spectra: Implications for the Adjustment of Empirical Ground‐Motion Prediction Equations (GMPEs) (2016, methodology): “In the same figure, the gray curve depicts the response spectrum obtained from the empirical model of Boore et al. (2014).”
• Physically Parameterized Prediction Equations for Significant Duration in Active Crustal Regions (2016, methodology): “Given the magnitude dependence of ϕ, the trends of ϕ versus Rrup were evaluated using data from events withM > 5.75, as shown in Figure 15c. Unlike with amplitude parameters (Boore et al. 2014), standard deviation, ϕ, has no clear dependence on Rrup.”