A Ground Motion Prediction Equation for the Horizontal Component of Cumulative Absolute Velocity (CAV) Based on the PEER-NGA Strong Motion Database
By K. Campbell, Y. Bozorgnia. 2010
138 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Geophysics
View Paper: https://www.semanticscholar.org/paper/a64d7e3353b87a599cb69aae29c555a8af81ab98
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In Civil and Structural Engineering
In Geophysics
Citations in the corpus
- A Comparison of Ground Motion Prediction Equations for Arias Intensity and Cumulative Absolute Velocity Developed Using a Consistent Database and Functional Form (2012, methodology): “ARIAS INTENSITY GROUND MOTION PREDICTION EQUATION The database used in this study is the same subset of the PEER-NGA strong motion database (Chiou et al. 2008) that we used to develop our GMPE for CAV (Campbell and Bozorgnia 2010).”
- Ground motion selection for scenario ruptures using the generalised conditional intensity measure (GCIM) method (2015, background): “[26] for SI; Bradley [14] for DSI; Campbell and Bozorgnia [27] for CAV; Campbell and Bozorgnia [28] for AI; 1604 K.”
- Correlation of Significant Duration with Amplitude and Cumulative Intensity Measures and Its Use in Ground Motion Selection (2011, background): “These correlations may initially seem rather small given that the definition of CAV implies that it is explicitly dependent on ground motion duration [Campbell and Bozorgnia, 2010].”
- A simple ground‐motion prediction model for cumulative absolute velocity and model validation (2013, methodology): “For this purpose, the PGA predicted from Campbell and Bozorgnia NGA model [9] (termed as CB08) are used and their associated EC and LH scores are listed in Table IV.”
- The Purpose and Definition of the Minimum Magnitude Limit in PSHA Calculations (2017, result): “In this context, it is worth noting that in recent years there has been a trend towards including smaller-magnitude recordings in the derivation of GMPEs, which has led to lower predicted amplitudes at smaller magnitudes (e.g., Chiou et al., 2010; Abrahamson et al., 2014).”