2010Environmental and Engineering GeoscienceRequires access

Liquefaction Analysis of Soils in the Western Izmit Basin, Turkey

Ahmet Karakaş, Özkan Coruk

Open publisher page 7 citations

Abstract

The Izmit Basin was formed as a result of activity on the North Anatolian Fault Zone (NAFZ). A Northern strand of the NAFZ crosses the basin in an east-west direction and is seismically active. Sand and silty sand deposits are widely spread across the alluvial basin. Groundwater levels vary between 1 m and 9.5 m below the land surface. Artificial Neural Network (ANN)-and Standard Penetration Test (SPT)-based liquefaction methods were used for soil liquefaction assessment. The ANN test session resulted in liquefaction prediction values from 0 to 1 for 46 samples. Twenty-nine samples with values greater than 0.8 were categorized as a high liquefaction prediction class. Two samples with values between 0.8 and 0.2 were categorized as a marginal liquefaction prediction class. Fifteen samples with values less than 0.2 were categorized as a low liquefaction prediction class. The SPT-based method evaluated 47 borings with coarse-grained soils for factor of safety (FS) against liquefaction and settlements and defined 37 borings with a FS value of less than 1. Overall total average settlement was calculated to be 5.4 cm. Coarse-grained soils with FS values of less than 1 were evaluated for liquefaction potential (PL) based on FS and depth of the soils. Calculations of PL resulted in very low (21 percent), low (64 percent), and high (15 percent) liquefaction potentials. The SPT-based results and ANN outputs were imported into ArcGIS to map the liquefaction resistance, seismic settlements, liquefaction potential, and liquefaction prediction for the study area.

About this research paper

What this paper is about

The Izmit Basin was formed as a result of activity on the North Anatolian Fault Zone (NAFZ). A Northern strand of the NAFZ crosses the basin in an east-west direction and is seismically active. Sand and silty sand deposits are widely spread across the alluvial basin. Groundwater levels vary between 1 m and 9.5 m below the land surface. Artificial Neural Network (ANN)-and Standard Penetration Test (SPT)-based liquefaction methods were used for soil liquefaction assessment. The ANN test session resulted in liquefaction prediction values from 0 to 1 for 46 samples. Twenty-nine samples with values greater than 0.8 were categorized as a high liquefaction prediction class. Two samples with values between 0.8 and 0.2 were categorized as a marginal liquefaction prediction class. Fifteen samples with values less than 0.2 were categorized as a low liquefaction prediction class. The SPT-based method evaluated 47 borings with coarse-grained soils for factor of safety (FS) against liquefaction and settlements and defined 37 borings with a FS value of less than 1. Overall total average settlement was calculated to be 5.4 cm. Coarse-grained soils with FS values of less than 1 were evaluated for liquefaction potential (PL) based on FS and depth of the soils. Calculations of PL resulted in very low (21 percent), low (64 percent), and high (15 percent) liquefaction potentials. The SPT-based results and ANN outputs were imported into ArcGIS to map the liquefaction resistance, seismic settlements, liquefaction potential, and liquefaction prediction for the study area.

Why it matters

OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The Izmit Basin was formed as a result of activity on the North Anatolian Fault Zone (NAFZ). A Northern strand of the NAFZ crosses the basin in an east-west direction and is seismically active. Sand and silty sand deposits are widely spread across the alluvial basin. Groundwater levels vary between 1 m and 9.5 m below the land surface. Artificial Neural Network (ANN)-and Standard Penetration Test (SPT)-based liquefaction methods were used for soil liquefaction assessment. The ANN test session resulted in liquefaction prediction values from 0 to 1 for 46 samples. Twenty-nine samples with values greater than 0.8 were categorized as a high liquefaction prediction class. Two samples with values between 0.8 and 0.2 were categorized as a marginal liquefaction prediction class. Fifteen samples with values less than 0.2 were categorized as a low liquefaction prediction class. The SPT-based method evaluated 47 borings with coarse-grained soils for factor of safety (FS) against liquefaction and settlements and defined 37 borings with a FS value of less than 1. Overall total average settlement was calculated to be 5.4 cm. Coarse-grained soils with FS values of less than 1 were evaluated for liquefaction potential (PL) based on FS and depth of the soils. Calculations of PL resulted in very low (21 percent), low (64 percent), and high (15 percent) liquefaction potentials. The SPT-based results and ANN outputs were imported into ArcGIS to map the liquefaction resistance, seismic settlements, liquefaction potential, and liquefaction prediction for the study area.

Key concepts: Structural basin, North Anatolian Fault, Citation, Geology, Mining engineering, Liquefaction, Geotechnical engineering, Library science

Related papers

Back to paper searchBrowse research topicsOriginal source
Liquefaction Analysis of Soils in the Western Izmit Basin, Turkey — Research Paper | ScholarLens