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

Yıl 2020, Cilt: 31 Sayı: 2, 9851 - 9868, 01.03.2020

Ahmet Can Mert , Ersin Arel Akın Önalp

https://doi.org/10.18400/tekderg.445322

Cited By: 1

Öz

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 (q_c1N,cs) and cyclic stress ratio corrected for moment
magnitude of 7.5 earthquake (CSR_M=7.5)
that was experienced in 1999. Liquefaction probabilities (P_L) 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.

Anahtar Kelimeler

liquefaction, CPT, logistic regression, probability of liquefaction

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

Öz

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 (q_c1N,cs) and cyclic stress ratio corrected for moment
magnitude of 7.5 earthquake (CSR_M=7.5)
that was experienced in 1999. Liquefaction probabilities (P_L) 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.

 

Anahtar Kelimeler

CPT, liquefaction, logistic regression, probability of liquefaction

Kaynakça

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