Land Damage Mapping and detailed Liquefaction Potential Analysis for the Epicentral Region of 2017 Pohang Mw 5.4 Earthquake, South Korea: An Attempt towards Sustainable Land Use Planning

Naik, Sambit Prasanajit; Gwon, Ohsang; Kim, Young‐Seog

doi:10.37247/pas.1.2020.13

Prime Archives in Sustainability 2020

DOI: 10.37247/pas.1.2020.13

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Land Damage Mapping and detailed Liquefaction Potential Analysis for the Epicentral Region of 2017 Pohang Mw 5.4 Earthquake, South Korea: An Attempt towards Sustainable Land Use Planning

Sambit Prasanajit Naik¹,

Ohsang Gwon²,

Young‐Seog Kim³

Abstract: In the present research, S.P.N,O.G., analyzed the field data, developed the idea and prepared the manuscript. Y.S.K encouraged us and supervised the findings of this work with continuous technical inputs during the preparation of the manuscript.

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Cited by 3 publications

References 53 publications

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Seismic Characteristics of a Geotextile Tube-Reinforced Embankment and Shallow Foundations Laid on Liquefiable Soil

et al. 2023

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The ground in Saemangeum has a high water level and is mostly composed of silty soil and sand, which makes it susceptible to liquefaction and seepage effects. To investigate the seismic response of a geotextile tube-reinforced embankment and shallow foundations laid on a liquefiable soil, a simple spring type shaking table apparatus was developed. The variation in the response acceleration and shear stress-strain relationship were investigated, and the effect of soil improvement and reinforcement were explored, wherein one of the shallow foundations was laid on a coarse sand layer and reinforced by a polyester geotextile. The results showed that the main cause of damage to the embankment was seepage-induced liquefaction. Excessive surface accelerations were observed in the embankment soil due to lateral spreading, indicating the importance of analyzing the liquefaction potential of soils not only at the site area but also near embankments. Lastly, the inclusion of geotextile reinforcement and soil improvement only resulted in the slight reduction of shallow foundation settlement.

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Seismic Characteristics of a Geotextile Tube-Reinforced Embankment and Shallow Foundations Laid on Liquefiable Soil

et al. 2023

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Development of a Probabilistic Seismic Performance Assessment Model of Slope Using Machine Learning Methods

et al. 2020

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The objective of this study is to propose a model that can predict the seismic performance of slope relatively accurately and efficiently by using machine learning methods. Probabilistic seismic fragility analyses of the slope had been carried out in other studies, and a closed-form equation for slope seismic performance was proposed through a multiple linear regression analysis. However, the traditional statistical linear regression analysis showed a limit that could not accurately represent such nonlinear slope seismic performances. To overcome this limit, in this study, we used three machine learning methods (i.e., support vector machine (SVM), artificial neural network (ANN), Gaussian process regression (GPR)) to generate prediction models of the slope seismic performance. The models obtained through the machine learning methods basically showed better performance compared to the models of the traditional statistical methods. The results of the SVM showed no significant performance difference compared with the results of the nonlinear regression analysis method, but the results based on the ANN and GPR showed a remarkable improvement in the prediction performance over the other models. Furthermore, this study confirmed that the GPR-based model predicted relatively accurate seismic performance values compared with the model through the ANN.

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Application of Terrestrial LiDAR for Reconstructing 3D Images of Fault Trench Sites and Web-based Visualization Platform for Large Point Clouds

Lee

Kim

2021

Econ. Environ. Geol.

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Land Damage Mapping and detailed Liquefaction Potential Analysis for the Epicentral Region of 2017 Pohang Mw 5.4 Earthquake, South Korea: An Attempt towards Sustainable Land Use Planning

Abstract: In the present research, S.P.N,O.G., analyzed the field data, developed the idea and prepared the manuscript. Y.S.K encouraged us and supervised the findings of this work with continuous technical inputs during the preparation of the manuscript.

Cited by 3 publications

References 53 publications

Seismic Characteristics of a Geotextile Tube-Reinforced Embankment and Shallow Foundations Laid on Liquefiable Soil

Seismic Characteristics of a Geotextile Tube-Reinforced Embankment and Shallow Foundations Laid on Liquefiable Soil

Development of a Probabilistic Seismic Performance Assessment Model of Slope Using Machine Learning Methods

Application of Terrestrial LiDAR for Reconstructing 3D Images of Fault Trench Sites and Web-based Visualization Platform for Large Point Clouds

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