A Comparison of Ground Motion Prediction Equations for Arias Intensity and Cumulative Absolute Velocity Developed Using a Consistent Database and Functional Form
By K. Campbell, Y. Bozorgnia. 2012
116 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering
View Paper: https://www.semanticscholar.org/paper/fcb710b1e66d34a26dce143af0bb6b328dc407ba
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
- K. Tarbali
- Gholamreza Ghodrati Amiri
- A. Nicknam
- Masood Yakhchalian
- Duruo Huang
- W. Du
- Brendon Bradley
- Gang Wang
Citations in the corpus
- Quantification of model uncertainty and variability in Newmark displacement analysis (2018, methodology): “(b): Ia hazard curves using three GEMPs: TBA03 [28], FPS12 [29] and CB12 [30].”
- Optimal vector-valued intensity measure for seismic collapse assessment of structures (2015, background): “Additionally, the technical literature includes some GMPEs for predicting AI (e.g., Campbell and Bozorgnia, 2012).”
- 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.”
- Spatial Cross‐Correlation Models for Vector Intensity Measures (PGA, I a , PGV, and SAs) Considering Regional Site Conditions (2013, methodology): “In fact, the above matrix is consistent with that obtained by Campbell and Bozorgnia (2012) (the difference is within 0:04) using the PEER-Next Generation Attenuation (NGA) database, which reads R 0 ρPGA;PGA ρPGA;Ia ρPGA;PGV ρPGA;Ia ρIa;Ia ρIa;PGV ρPGA;PGV ρIa;PGV ρPGV;PGV 2 64 3 75 1 0:88…”