Advancing Seismic Site Response Predictions: Integrating Vs Gradients and Vs Contrasts
Description:
Current practices for seismic site response estimation rely on (1) ground motion models (GMMs) that use the time-averaged shear-wave velocity (VS) in the top 30 m (VS30) as a predictor, and (2) one-dimensional site response analyses (1D SRAs) that employ the entire VS profile available at a given site. While 1D SRAs are generally considered more accurate, recent studies showed that 1D SRAs could carry significant model errors. This finding led us to investigate the ability of innovative site-specific parameters to advance GMM predictions of site response.
In a previous study, we demonstrated that VS gradients, g10 and g30 (gradients over the upper 10m and 30 m depth, respectively), can be used as parameters to improve site response predictions at different vibration modes. In this presentation, we investigate (1) the role of velocity contrasts (VCs), including bedrock-to-soil VCs and inter-layer VCs, and (2) the consistency between the trends observed in real-world and simulation-based data. We use ground motion records collected by the California Strong Motion Instrumentation Program (CSMIP) and VS profiles from the Shear-wave Velocity Profile Database (VSPDB). A dataset of 84 stations has been collected, representing a wide range of VS characteristics. Ground motion records sourced from the Center for Engineering Strong Motion Data (CESMD) were processed using the gmprocess application and reviewed following state-of-the-art protocols. The ground motion processing workflow and challenges in computing VS gradients using measured profiles will also be discussed.
Session: Challenges and Opportunities in Constraining Ground-motion Models from Physics-based Ground-motion Simulations [Poster]
Type: Poster
Date: 4/17/2025
Presentation Time: 08:00 AM (local time)
Presenting Author: Santosh
Student Presenter: Yes
Invited Presentation:
Poster Number: 41
Authors
Santosh Katuwal Presenting Author Corresponding Author skatuwal@unr.edu University of Nevada, Reno |
Renmin Pretell rpretell@unr.edu University of Nevada, Reno |
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Advancing Seismic Site Response Predictions: Integrating Vs Gradients and Vs Contrasts
Category
Challenges and Opportunities in Constraining Ground-motion Models from Physics-based Ground-motion Simulations