Probabilistic assessment of soil liquefaction considering spatial variability of CPT measurements
| Autor: | Gokhan Saygili |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Return period
021110 strategic defence & security studies Engineering Random field business.industry 0211 other engineering and technologies Probabilistic logic Liquefaction Geology 02 engineering and technology Building and Construction Geotechnical Engineering and Engineering Geology Cone penetration test Geotechnical engineering Spatial variability Safety Risk Reliability and Quality business Probabilistic framework Soil liquefaction 021101 geological & geomatics engineering Civil and Structural Engineering |
| Zdroj: | Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 11:197-207 |
| ISSN: | 1749-9526 1749-9518 |
| DOI: | 10.1080/17499518.2016.1212077 |
| Popis: | The conventional liquefaction potential assessment methods (also known as simplified methods) profoundly rely on empirical correlations based on observations from case histories. A probabilistic framework is developed to incorporate uncertainties in the earthquake ground motion prediction, the cyclic resistance prediction, and the cyclic demand prediction. The results of a probabilistic seismic hazard assessment, site response analyses, and liquefaction potential analyses are convolved to derive a relationship for the annual probability and return period of liquefaction. The random field spatial model is employed to quantify the spatial uncertainty associated with the in-situ measurements of geotechnical material. |
| Databáze: | OpenAIRE |
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