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A Three-Dimensional Geotechnical Spatial Modeling Method for Borehole Dataset Using Optimization of Geostatistical Approaches

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Abstract

A large amount of geotechnical investigation data is essential for the highly reliable design of geotechnical structure at a construction site. The number of geotechnical investigations, however, has been generally insufficient and spatially biased owing to economic and spatial-temporal limitations. In this study, a geotechnical three-dimensional spatial modeling was implemented using an optimized geostatistical interpolation approach at a bridge construction site in the south-central part of the Korean peninsula. The geotechnical investigation data were collected and standardized for the construction of a geo-database. For the site-specific stratification, a kriging-based integration of the geo-layers and the seismic velocity from a seismic refraction survey were applied. The value from a standard penetration test (SPT)-N of an uninvestigated location was predicted using parametric and nonparametric geostatistical methods. We accomplished three-dimensional spatial interpolations using ordinary kriging, a sequential Gaussian simulation with a normal score transformed dataset, and a sequential indicator simulation using the geodatabase. A leave-one-out cross validation was carried out to quantitatively evaluate the reliability of the three-dimensional modeling. Finally, a three-dimensional geotechnical spatial model assigned with subsurface stratification and SPT-N values was constructed using the sequential Gaussian simulation.

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Acknowledgements

This research was supported by a grant(19SCIP-B119960-04) from Smart Civil Infrastructure Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government and supported by Institute of Construction and Environmental Engineering at Seoul National University.

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Correspondence to Choong-Ki Chung.

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Kim, M., Kim, H. & Chung, C. A Three-Dimensional Geotechnical Spatial Modeling Method for Borehole Dataset Using Optimization of Geostatistical Approaches. KSCE J Civ Eng 24, 778–793 (2020). https://doi.org/10.1007/s12205-020-1379-1

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Keywords

  • Three-dimensional geotechnical modeling
  • Spatial interpolation
  • Geostatistics
  • Standard penetration test
  • Cross validation