Journals / Teknik Dergi / 2020 / Cilt: 31 - Sayı: 2

The Spatial Distribution of Liquefaction Susceptibility by Logistic Regression Model adapted for Adapazari, Turkey

The Spatial Distribution of Liquefaction Susceptibility by Logistic Regression Model Adapted for Adapazari, Turkey

Pages
9851–9868
Publication Date
2020-03-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

For each depth interval, liquefaction probabilities of the districts are compared with the observed liquefied and non-liquefied sites in the city after 1999 Adapazarı Earthquake.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:A logistic regression model has been developed for evaluation of soil liquefaction by the use of cone penetration test (CPTu, PCPT) on data collected from Adapazarı, Turkey.
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Key Findings & Data:The model inputs are the clean sand equivalent normalized cone tip resistance (qc1N,cs) and cyclic stress ratio corrected for moment magnitude of 7.5 earthquake (CSRM=7.5) that was experienced in 1999.
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Conclusion & Impact:For each depth interval, liquefaction probabilities of the districts are compared with the observed liquefied and non-liquefied sites in the city after 1999 Adapazarı Earthquake.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:CPT · liquefaction · logistic regression

Abstract

A logistic regression model has been developed for evaluation of soil liquefaction by the use of cone penetration test (CPTu, PCPT) on data collected from Adapazarı, Turkey. The model inputs are the clean sand equivalent normalized cone tip resistance (qc1N,cs) and cyclic stress ratio corrected for moment magnitude of 7.5 earthquake (CSRM=7.5) that was experienced in 1999. Liquefaction probabilities (PL) are obtained for each district of the city for which CPTu data is available with the proposed logistic regression model. Average liquefaction probabilities of the depth interval 0-6 m and coordinates (Longitude, Latitude) of CPT soundings were plotted to construct a liquefaction probability map by longitude and latitude. In order to show the effect of depth in liquefaction potential, the obtained liquefaction probability contours were reconstructed by dividing 0-6m depth into three narrow sublayers of 0-2m, 2-4m and 4-6m wherein liquefaction was observed during the earthquake. For each depth interval, liquefaction probabilities of the districts are compared with the observed liquefied and non-liquefied sites in the city after 1999 Adapazarı Earthquake.

Özet

A logistic regression model has been developed for evaluation of soil liquefaction by the use of cone penetration test (CPTu, PCPT) on data collected from Adapazarı, Turkey. The model inputs are the clean sand equivalent normalized cone tip resistance (qc1N,cs) and cyclic stress ratio corrected for moment magnitude of 7.5 earthquake (CSRM=7.5) that was experienced in 1999. Liquefaction probabilities (PL) are obtained for each district of the city for which CPTu data is available with the proposed logistic regression model. Average liquefaction probabilities of the depth interval 0-6 m and coordinates (Longitude, Latitude) of CPT soundings were plotted to construct a liquefaction probability map by longitude and latitude. In order to show the effect of depth in liquefaction potential, the obtained liquefaction probability contours were reconstructed by dividing 0-6m depth into three narrow sublayers of 0-2m, 2-4m and 4-6m wherein liquefaction was observed during the earthquake. For each depth interval, liquefaction probabilities of the districts are compared with the observed liquefied and non-liquefied sites in the city after 1999 Adapazarı Earthquake.

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Cite This Article

MERT, A. C., AREL, E., ÖNALP, A. (2020). The Spatial Distribution of Liquefaction Susceptibility by Logistic Regression Model adapted for Adapazari, Turkey. Teknik Dergi, Cilt: 31 - Sayı: 2, 9851–9868. https://ajindex.com/articles/51212

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