Three-Dimensional Stratigraphic Structure and Property Collaborative Modeling in Urban Engineering Construction

Baoyi Zhang, Yanli Zhu, Tongyun Zhang, Xian Zhou, Binhai Wang, Or Aimon Brou Koffi Kablan and Jixian Huang ()
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Baoyi Zhang: Key Laboratory of Metallogenic Prediction of Nonferrous Metals & Geological Environment Monitoring (Ministry of Education), School of Geosciences & Info-Physics, Central South University, Changsha 410083, China
Yanli Zhu: Key Laboratory of Metallogenic Prediction of Nonferrous Metals & Geological Environment Monitoring (Ministry of Education), School of Geosciences & Info-Physics, Central South University, Changsha 410083, China
Tongyun Zhang: Geological and Geographic Information Institute of Hunan Province, Changsha 410021, China
Xian Zhou: Geological and Geographic Information Institute of Hunan Province, Changsha 410021, China
Binhai Wang: Geological and Geographic Information Institute of Hunan Province, Changsha 410021, China
Or Aimon Brou Koffi Kablan: Key Laboratory of Metallogenic Prediction of Nonferrous Metals & Geological Environment Monitoring (Ministry of Education), School of Geosciences & Info-Physics, Central South University, Changsha 410083, China
Jixian Huang: Key Laboratory of Metallogenic Prediction of Nonferrous Metals & Geological Environment Monitoring (Ministry of Education), School of Geosciences & Info-Physics, Central South University, Changsha 410083, China

Mathematics, 2025, vol. 13, issue 3, 1-19

Abstract: In urban engineering construction, ensuring the stability and safety of subsurface geological structures is as crucial as surface planning and aesthetics. This study proposes a novel multivariate radial basis function (MRBF) interpolant for the three-dimensional (3D) modeling of engineering geological properties, constrained by the stratigraphic structural model. A key innovation is the incorporation of a well-sampled geological stratigraphical potential field (SPF) as an ancillary variable, which enhances the interpolation of geological properties in areas with sparse and uneven sampling points. The proposed MRBF method outperforms traditional interpolation techniques by showing reduced dependency on the distribution of sampling points. Furthermore, the study calculates the bearing capacity of individual pile foundations based on precise stratigraphic thicknesses, yielding more accurate results compared to conventional methods that average these values across the entire site. Additionally, the integration of 3D geological models with urban planning facilitates the development of comprehensive urban digital twins, optimizing resource management, improving decision-making processes, and contributing to the realization of smart cities through more efficient data-driven urban management strategies.

Keywords: interpolant; multivariate radial basis function; three-dimensional geological modeling; engineering geological property model; bearing capacity of pile foundation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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