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도시개발 영역 고정밀 공간지반모델의 지진 시 액상화 재해 및 지반 취약성 평가 활용

Application into Assessment of Liquefaction Hazard and Geotechnical Vulnerability During Earthquake with High-Precision Spatial-Ground Model for a City Development Area

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참고문헌

키워드

주제분류토목공학

초록

This study proposes a methodology for assessing seismic liquefaction hazard by implementing high-resolution three-dimensional (3D) ground models with high-density/high-precision site investigation data acquired in an area of interest, which would be linked to geotechnical numerical analysis tools. It is possible to estimate the vulnerability of earthquake-induced geotechnical phenomena (ground motion amplification, liquefaction, landslide, etc.) and their triggering complex disasters across an area for urban development with several stages of high-density datasets. In this study, the spatial-ground models for city development were built with a 3D high-precision grid of 5 m x 5 m x 1 m by applying geostatistic methods. Finally, after comparing each prediction error, the geotechnical model from the Gaussian sequential simulation is selected to assess earthquake-induced geotechnical hazards. In particular, with seven independent input earthquake motions, liquefaction analysis with finite element analyses and hazard mappings with LPI and LSN are performed reliably based on the spatial geotechnical models in the study area. Furthermore, various phenomena and parameters, including settlement in the city planning area, are assessed in terms of geotechnical vulnerability also based on the high-resolution spatial-ground modeling. This case study on the high-precision 3D ground model-based zonations in the area of interest verifies the usefulness in assessing spatially earthquake-induced hazards and geotechnical vulnerability and their decision-making support.

Abstract

This study proposes a methodology for assessing seismic liquefaction hazard by implementing high-resolution three-dimensional (3D) ground models with high-density/high-precision site investigation data acquired in an area of interest, which would be linked to geotechnical numerical analysis tools. It is possible to estimate the vulnerability of earthquake-induced geotechnical phenomena (ground motion amplification, liquefaction, landslide, etc.) and their triggering complex disasters across an area for urban development with several stages of high-density datasets. In this study, the spatial-ground models for city development were built with a 3D high-precision grid of 5 m x 5 m x 1 m by applying geostatistic methods. Finally, after comparing each prediction error, the geotechnical model from the Gaussian sequential simulation is selected to assess earthquake-induced geotechnical hazards. In particular, with seven independent input earthquake motions, liquefaction analysis with finite element analyses and hazard mappings with LPI and LSN are performed reliably based on the spatial geotechnical models in the study area. Furthermore, various phenomena and parameters, including settlement in the city planning area, are assessed in terms of geotechnical vulnerability also based on the high-resolution spatial-ground modeling. This case study on the high-precision 3D ground model-based zonations in the area of interest verifies the usefulness in assessing spatially earthquake-induced hazards and geotechnical vulnerability and their decision-making support.

참고문헌 (24)

  1. Dey B, "Intelligent solutions for earthquake data analysis and prediction for future smart cities", Computers & Industrial Engineering, 170, pp.108368~ (2022)
  2. Chou JS, "Metaheuristic optimization within machine learning-based classification system for early warnings related to geotechnical problems", Automation in Construction, 68, pp.65~80 (2016)
  3. Kim HS, "Three-dimensional geotechnical-layer mapping in Seoul using borehole database and deep neural network-based model", Engineering Geology, 297, pp.106489~ (2022)
  4. Kim HS, "Geospatial data-driven assessment of earthquake-induced liquefaction impact mapping using classifier and cluster ensembles", Applied Soft Computing, 140, pp.110266~ (2023)
  5. Kim HS, "Integrated system for site-specific earthquake hazard assessment with geotechnical spatial grid information based on GIS", Natural Hazards, 82, pp.981~1007 (2016)
  6. Sun CG, "Correlations between shear wave velocity and in-situ penetration test results for Korean soil deposits", Pure and Applied Geophysics, 170, pp.271~281 (2013)
  7. Cho HI, "Evaluation of engineering site conditions in North Gyeongsang Province, South Korea, using a large database of borehole and standard penetration test data", Engineering Geology, 294, pp.106306~ (2021)
  8. Tsai CC, "Unified correlation between SPT–N and shear wave velocity for a wide range of soil types considering straindependent behavior", Soil Dynamics and Earthquake Engineering, 126, pp.105783~ (2019)
  9. Kalantari AR, "Effect of spatial variability of soil properties and geostatistical conditional simulation on reliability characteristics and critical slip surfaces of soil slopes", Transportation Geotechnics, 39, pp.100933~ (2023)
  10. Sun CG, "GIS-based regional assessment of seismic site effects considering the spatial uncertainty of site-specific geotechnical characteristics in coastal and inland urban areas", Geomatics, Natural Hazards and Risk, 8(2), pp.1592~1621 (2017)
  11. Isaaks EH, "Applied geostatistics" (1989)
  12. Development of Dynamic Rupture Based Strong Ground Motion Prediction and Region-Specific Earthquake Early Warning Techniques in Southeastern Korea, "Korea Institute of Geoscience and Mineral resource", Ministry of Science and ICT, ~ (2021)
  13. "PC 2023 Manual: Theory" (2023)[URL]
  14. Developments in modeling liquefaction of granular soils, caused by cyclic loads, "Sawicki A", ~ (2006)
  15. Schanz T, "Formulation and verification of the Hardening Soil model", Beyond 2000 in Computational Geotechnics (2000)
  16. Idriss IM, "Soil Liquefaction During Earthquakes" (2008), Earthquake Engineering Research Institute
  17. Ishihara K, "Liquefaction of K0-consolidated sand under cyclic rotation of principal stress direction with lateral constraint", Soils and Foundations, 25(4), pp.63~74 (1985)
  18. Iwasaki T, "Microzonation for soil liquefaction potential usings implified methods", Proceedings of the 3rd International Conference on Microzonation, 3(2), pp.1310~1330 (1982)
  19. Toprak S, "Liquefaction potential index : Field assessment", Journal of Geotechnical and Geoenvironmental Engineering, 129(4), pp.315~322 (2003)
  20. Zhang G, "Estimating liquefactioninduced ground settlements from CPT for level ground", Canadian Geotechnical Journal, 39(5), pp.1168~1180 (2002)
  21. Ishihara K, "Evaluation of settlements in sand deposits following liquefaction during earthquakes", Soils and Foundations, 32(1), pp.173~188 (1992)
  22. Christchurch Liquefaction Vulnerability Study, "Tonkin & Taylor Ltd", Christchurch City Council, 67~, pp.Report Job No: 1000273.v1.2 (2020)
  23. Kim HS, "Local and regional evaluation of liquefaction potential index and liquefaction severity number for liquefaction-induced sand boils in Pohang, South Korea", Soil Dynamics and Earthquake Engineering, 141, pp.106459~ (2021)
  24. Zhu J, "An updated geospatial liquefaction model for global application", Bulletin of the Seismological Society of America, 107(3), pp.1365~1385 (2017)

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