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Combining Physical Model with Neural Networks for Earthquake Site Response Prediction

https://doi.org/10.2139/ssrn.4889683
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Site effect assessment using KiK-net data: part 2—site amplification prediction equation based on f0 and Vsz
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Which is a better proxy, site period or depth to bedrock, in modelling linear site response in addition to the average shear-wave velocity?
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A site amplification model for Switzerland based on site-condition indicators and incorporating local response as measured at seismic stations
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Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
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Machine learning in ground motion prediction
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Soil seismic response modeling of KiK-net downhole array sites with CNN and LSTM networks
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In-situ properties of Poisson's ratio based on KiK-net seismic observations
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A taxonomy of site response complexity
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Assessment of the stability of H/V spectral ratios from ambient noise and comparison with earthquake data in the Cologne area (Germany)
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Non-linear one-dimensional seismic ground motion propagation in the Mississippi embayment
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61 Site effects on strong ground motions
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Near-surface softening and healing in eastern Honshu associated with the 2011 magnitude-9 Tohoku-Oki Earthquake
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Insights into Modeling Small-Strain Site Response Derived from Downhole Array Data
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Transmission of Elastic Waves through a Stratified Solid Medium
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CAN SITE RESPONSE BE PREDICTED?
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κ 0 for soil sites: Observations from KiK‐net sites and their use in constraining small‐strain damping profiles for site response analysis
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How well can we predict earthquake site response so far? Machine learning vs physics‐based modeling
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MOWLAS: NIED observation network for earthquake, tsunami and volcano
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Seismic trace interpolation for irregularly spatial sampled data using convolutional autoencoder
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Seismic data interpolation through convolutional autoencoder
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V S ‐ κ 0 Correction Factors for Input Ground Motions Used in Seismic Site Response Analyses
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An Empirical Site-Classification Method for Strong-Motion Stations in Japan Using H/V Response Spectral Ratio
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Critical Parameters Affecting Bias and Variability in Site-Response Analyses Using KiK-net Downhole Array Data
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Estimation of Site‐Specific Kappa (κ0)‐Consistent Damping Values at KiK‐Net Sites to Assess the Discrepancy between Laboratory‐Based Damping Models and Observed Attenuation (of Seismic Waves) in the Field
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Challenges in Predicting Seismic Site Response with 1D Analyses: Conclusions from 114 KiK‐net Vertical Seismometer Arrays
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A Method to Directly EstimateS-Wave Site Amplification Factor from Horizontal-to-Vertical Spectral Ratio of Earthquakes (eHVSRs)
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On the Relation between Empirical Amplification and Proxies Measured at Swiss and Japanese Stations: Systematic Regression Analysis and Neural Network Prediction of Amplification
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Estimation of Site Amplification from Geotechnical Array Data Using Neural Networks
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Introduction to the Special Section on Advances in Site Response Estimation
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The California earthquake of April 15, 1928*
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Earthquake site response estimation: A weak-motion case study
inferredcites →https://doi.org/10.1785/bssa0850041127openalex-extracted
A comparison and test of various site-response estimation techniques, including three that are not reference-site dependent
inferredcites →https://doi.org/10.1785/bssa0870020327openalex-extracted
Site amplifications for generic rock sites
inferredcites →https://doi.org/10.2113/gseegeosci.iii.1.158openalex-extracted
Geotechnical Earthquake Engineering
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Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling
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STRONG-MOTION SEISMOGRAPH NETWORK OPERATED BY NIED: K-NET AND KiK-net
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