Correlation model for spatially distributed ground‐motion intensities
By N. Jayaram, Jack W. Baker. 2009
547 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering
View Paper: https://www.semanticscholar.org/paper/6637621b28e98db88f7b7a77e6c91fd4c1f15081
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
- W. Du
- Gang Wang
- David Lallemant
- Anne S. Kiremidjian
- Henry V. Burton
- C. Loth
- V. Sokolov
- Jack W. Baker
Citations in the corpus
- Spatial Cross‐Correlation Models for Vector Intensity Measures (PGA, I a , PGV, and SAs) Considering Regional Site Conditions (2013, methodology): “It is worth pointing out that the isotropic assumption for the spatial distribution of the intraevent residuals have been verified for some events, such as the Northridge earthquake (Jayaram and Baker, 2009).”
- Influence of spatial correlation of strong ground motion on uncertainty in earthquake loss estimation (2011, background): “Evans and Baker [23] used the NGA database [24], which is primarily based on Californian data and a few earthquakes in Taiwan (the Chi-Chi earthquake and large aftershocks).”
- A spatial cross‐correlation model of spectral accelerations at multiple periods (2013, background): “Previous studies have indicated that the correlation structure of residuals from ground motion models is not dependent on the considered direction, and is therefore isotropic [1, 10, 12, 16].”
- Statistical procedures for developing earthquake damage fragility curves (2015, methodology): “Jayaram N, Baker J. Correlation Model for Spatially Distributed Ground-Motion Intensities.”