Simulation of Ground Motion Using the Stochastic Method

By D. Boore. 2003

1,614 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Geophysics

View Paper: https://www.semanticscholar.org/paper/8150d0967f309053b08ff1d635b623c5b23cae02

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Citations in the corpus

The Estimation of Minimum-Misfit Stochastic Models from Empirical Ground-Motion Prediction Equations (2006, methodology): “A key element in this so-called hybrid empirical approach is the calculation of response-spectral transfer functions based on stochastic ground-motion models ( Boore, 2003 ) for both the host and the target region.”
Seismic fragility curves for structures using non-parametric representations (2017, methodology): “ics of the source mechanism and wave travel-path, and hybrid models that combine elements from both source- and record-based models. Vetter and Ta anidis [50] compared the source-based model by Boore [51] with the record-based model by Rezaeian and Der Kiureghian [49] with respect to the estimated s”
NGA-West2 Equations for Predicting PGA, PGV, and 5% Damped PSA for Shallow Crustal Earthquakes (2014, background): “Therefore, the ground motions for smaller events will attenuate more rapidly with distance than for large events (Boore 2003).”
Dimensionless fragility curves for rocking response to near‐fault excitations (2015, methodology): “To model the high-frequency (>0:1–0:2 Hz) component (henceforth HFC) of the excitations, we adopt the point source stochastic method [34].”
Bayesian network learning for natural hazard analyses (2014, methodology): “It is generated by a so-calledstochastic model which is described in detail by Boore(2003). The basic idea is to distort the shape of a random time series according to physical principles and thus to obtain a time series with properties that match the groundmotion characteristics.”
Path Durations for Use in the Stochastic‐Method Simulation of Ground Motions (2014, methodology): “Discussion and Conclusions The most commonly used existing formulation of the stochastic method (e.g., Boore, 2003, 2005) assumes that the duration of ground motion is given by a frequencyindependent sum of a source duration and a path duration, despite the observations of Herrmann and colleagues…”
An NGA Model for the Average Horizontal Component of Peak Ground Motion and Response Spectra (2008, methodology): “The right hand plot of Figure 2 shows magnitude scaling relationships at a distance of 30 km computed using the stochastic ground motion model (e.g., Boore 2003) and the Atkinson and Silva (1997) empirical source spectra model for California earthquakes.”
Analysis of the Origins of κ (Kappa) to Compute Hard Rock to Rock Adjustment Factors for GMPEs (2011, methodology): “(1997) or Campbell (2003)) and generic hard rock or rock models.”
Regional Correlations of VS30 and Velocities Averaged Over Depths Less Than and Greater Than 30 Meters (2011, methodology): “The regional differences in the velocity structure illustrated in Figures 3 and 4 demonstrate that the empirical relationships developed by Boore (2004b) may not be appropriate for the sites in Japan.”
On the Relationship between Fourier and Response Spectra: Implications for the Adjustment of Empirical Ground‐Motion Prediction Equations (GMPEs) (2016, methodology): “Based upon numerical experiments, Boore and Joyner (1984), Liu and Pezeshk (1999), Boore (2003), and recently Boore and Thompson (2012) suggested modifications to the duration model for the computation of the yrms motion, to apply this theory to the response motion of an SDOF system.”
Composite Ground-Motion Models and Logic Trees: Methodology, Sensitivities, and Uncertainties (2005, background): “High-frequency ground motions can be simulated using stochastic models (e.g., Boore, 2003 ), which has become the preferred approach for the cen- 1576 F. Scherbaum, J. J. Bommer, H. Bungum, F. Cotton, and N. A. Abrahamson”
A Study on the Variability of Kappa (κ) in a Borehole: Implications of the Computation Process (2013, neutral): “Boore (2003), who refers to κ0 as path-independent diminution, considers it may be due either to source or site effects, whereas Cotton et al. (2006) consider it a site parameter.”
Comparing Stochastic Point-Source and Finite-Source Ground-Motion Simulations: SMSIM and EXSIM (2009, neutral): “Introduction Stochastic models of the seismic source and wave propagation have been used to simulate ground motions for many years (e.g., Boore, 1983, 2003).”
Empirical Attenuation of Ground-Motion Spectral Amplitudes in Southeastern Canada and the Northeastern United States (2004, methodology): “Boore (2003) reported a similar U-shape for Q, based on a survey of Aki (1980) and Cormier (1982).”
Eurocode 8 Compliant Real Record Sets for Seismic Analysis of Structures (2008, background): “These methods range from stochastic simulation [ Boore, 2003 ] of point or finite sources to dynamic models of rupture.”
Physically Parameterized Prediction Equations for Significant Duration in Active Crustal Regions (2016, methodology): “Similar trends for Chinese CL2 events, but with positive event terms, were found by Boore et al. (2013) for some amplitude-related intensity measures.”