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<p>This study evaluates the geotechnical behavior of lateritic soils in Bayangam (Western Cameroon) and proposes a predictive model linking electrical resistivity to the California Bearing Ratio (CBR). A combined approach using 38 boreholes, geotechnical testing (Atterberg limits, grain size, CBR), and 83 Vertical Electrical Soundings (VES) was applied. The soils show significant heterogeneity, with CBR values influenced by fines content and plasticity. Resistivity mapping identified five domains correlating with moisture content and soil texture. A third-degree polynomial model was developed to estimate CBR from resistivity, with strong correlation (R<sup>2</sup> = 0.719; Spearman ρ = 0.89). Over 95% of predictions deviated less than ± 0.3 from measured values. A methodology for estimating depthwise bearing capacity from resistivity profiles was also proposed. This approach enhances preliminary assessment in data-scarce contexts but requires in-situ validation for critical projects.</p>

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Integration of Geotechnical and Geophysical Analyses for the Characterization of Lateritic Soils in the Bayangam Region (Cameroon): Development of a Predictive Model for the CBR Index Based on Electrical Resistivity

  • 期刊论文

  • 发表日期：

    2026年1月14日

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  • Sidéral Tatossuck Kengne Buna,
  • Verlène Hardy Njuikom Djoumbi,
  • Idriss Franklin Tiomo,
  • Paul Tematio

摘要

This study evaluates the geotechnical behavior of lateritic soils in Bayangam (Western Cameroon) and proposes a predictive model linking electrical resistivity to the California Bearing Ratio (CBR). A combined approach using 38 boreholes, geotechnical testing (Atterberg limits, grain size, CBR), and 83 Vertical Electrical Soundings (VES) was applied. The soils show significant heterogeneity, with CBR values influenced by fines content and plasticity. Resistivity mapping identified five domains correlating with moisture content and soil texture. A third-degree polynomial model was developed to estimate CBR from resistivity, with strong correlation (R2 = 0.719; Spearman ρ = 0.89). Over 95% of predictions deviated less than ± 0.3 from measured values. A methodology for estimating depthwise bearing capacity from resistivity profiles was also proposed. This approach enhances preliminary assessment in data-scarce contexts but requires in-situ validation for critical projects.