Abstract
The time averaged shear wave velocity to 30-m depth (VS30 ) is used for seismic hazard assessment for National Earthquake Hazard Reduction Program (NEHRP) site classification. There are several models to predict VS30 from average shear wave velocity to a depth (z) less than 30 m (VSz ). This study evaluates the prediction capability of the existing models in the United Arab Emirates (UAE). The analyses show that there is a significant prediction biases in the existing models developed in different regions. By reviewing borehole data from the selected sites, it reveals that these biases are mainly because of the characteristic geology of the UAE where weak bedrock is encountered at shallow depths. This bedrock mostly shows a considerable variation in both clay content and the porosity which also have a direct effect on the prediction uncertainty.
| Original language | British English |
|---|---|
| Title of host publication | Geotechnical, Geological and Earthquake Engineering |
| Publisher | Springer Science and Business Media B.V. |
| Pages | 971-979 |
| Number of pages | 9 |
| DOIs | |
| State | Published - 2022 |
Publication series
| Name | Geotechnical, Geological and Earthquake Engineering |
|---|---|
| Volume | 52 |
| ISSN (Print) | 1573-6059 |
| ISSN (Electronic) | 1872-4671 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Regression model
- UAE
- V
- V
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