Spatial correlation of broadband ground motions from physics‐based numerical simulations

This study assesses the spatial correlation of broadband earthquake ground motions from 3D physics‐based numerical simulations in near‐source conditions. State‐of‐the‐art models for predicting the spatial correlation are derived from wide datasets including densely recorded earthquakes in different...

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Veröffentlicht in:Earthquake engineering & structural dynamics Jg. 50; H. 10; S. 2575 - 2594
Hauptverfasser: Infantino, Maria, Smerzini, Chiara, Lin, Jiayue
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bognor Regis Wiley Subscription Services, Inc 01.08.2021
Schlagworte:
3D physics‐based numerical simulations
Artificial neural networks
Broadband
broadband ground motions
Computer simulation
Correlation
Directivity
Earthquake prediction
Earthquakes
Fault lines
Frequency ranges
Ground motion
Mathematical models
near‐source effect
Neural networks
Numerical prediction
Numerical simulations
Parameter sensitivity
Physics
Seismic activity
seismic risk
spatial correlation
ISSN:0098-8847, 1096-9845
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Zusammenfassung:This study assesses the spatial correlation of broadband earthquake ground motions from 3D physics‐based numerical simulations in near‐source conditions. State‐of‐the‐art models for predicting the spatial correlation are derived from wide datasets including densely recorded earthquakes in different areas worldwide and, therefore, they may be poorly representative of specific regions and near‐source effects. A large set of broadband ground motions simulated by the SPEED code, and enriched in the high‐frequency range with an Artificial Neural Network technique, is used to investigate the sensitivity of crucial parameters in geostatistical analysis (number of receivers), as well as of source, path, and site effects on spatial correlation, with a level of detail which could not be possible otherwise due to the paucity of recordings. First of all, the comparison of our results with those derived from earthquake recordings validates successfully the numerical approach in predicting the spatial correlation in a broad frequency range. Furthermore, the study points out that spatial correlation of response spectral accelerations is significantly affected by the magnitude, forward directivity effects, ground‐motion directionality (fault normal versus fault parallel), and relative position from the causative fault. These features may make critical the use of isotropic and stationary models especially in near‐fault conditions.
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ISSN:0098-8847
1096-9845
DOI:10.1002/eqe.3461