<p>Geotechnical road construction work requiring various tests that integrate several parameters can be reduced by predictions. This paper establishes the prediction of modified Proctor parameters and California Bearing Ratio (CBR) parameters in function of Fines and Atterberg limits of lateritic materials developed on metamorphic rocks, using the Cramer multiple linear regression technique. The prediction of these compaction parameters can ease to treat small quantities of materials, save time, reduce energy expenditure and cost of analyses and field campaigns. The parameters such as the Maximum Dry Density (MDD), Optimum Moisture Content (OMC), CBR, %fines (˂80&#xa0;μm), Plasticity Index (PI) and Liquid limit (LL), were determined for predictions. The multiple determination coefficients (MCD) are 0.998 with R<sup>2</sup> = 0.996 for MDD, 0.991 with R<sup>2</sup> = 0.982 for OMC and 0.98 with R<sup>2</sup> = 0.97 for a CBR at 95% of optimum respectively. These coefficients indicate an excellent correlation. The current study in soil mechanics shows that, CBR (13 to 53) and MDD (1.5 to 2.1&#xa0;g/cm<sup>3</sup>) increase whereas the percentage of fines (75 to 12%) decreases. These CBR values can be used for backfill and foundation layers of traffic T1 to T2/T3. The Principal Component Analysis (PCA) reveals the presence of three classes C1 (LL, PL and OMC), C2 (˂80&#xa0;μm) and C3 (CBR and MDD). The results clearly indicate that the Cramer method can be used to predict compaction parameters (MDD, OMC and CBR) in function of LL, PI and (˂ 80&#xa0;μm). This method has the advantage of reducing the number of tests.&#xa0;&#xa0;</p>

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Application of the cramer method for the prediction of geotechnical parameters of soils in an intertropical zone in road construction

  • Alain Justin Menye,
  • Michel Mbessa,
  • Paul Bilong

摘要

Geotechnical road construction work requiring various tests that integrate several parameters can be reduced by predictions. This paper establishes the prediction of modified Proctor parameters and California Bearing Ratio (CBR) parameters in function of Fines and Atterberg limits of lateritic materials developed on metamorphic rocks, using the Cramer multiple linear regression technique. The prediction of these compaction parameters can ease to treat small quantities of materials, save time, reduce energy expenditure and cost of analyses and field campaigns. The parameters such as the Maximum Dry Density (MDD), Optimum Moisture Content (OMC), CBR, %fines (˂80 μm), Plasticity Index (PI) and Liquid limit (LL), were determined for predictions. The multiple determination coefficients (MCD) are 0.998 with R2 = 0.996 for MDD, 0.991 with R2 = 0.982 for OMC and 0.98 with R2 = 0.97 for a CBR at 95% of optimum respectively. These coefficients indicate an excellent correlation. The current study in soil mechanics shows that, CBR (13 to 53) and MDD (1.5 to 2.1 g/cm3) increase whereas the percentage of fines (75 to 12%) decreases. These CBR values can be used for backfill and foundation layers of traffic T1 to T2/T3. The Principal Component Analysis (PCA) reveals the presence of three classes C1 (LL, PL and OMC), C2 (˂80 μm) and C3 (CBR and MDD). The results clearly indicate that the Cramer method can be used to predict compaction parameters (MDD, OMC and CBR) in function of LL, PI and (˂ 80 μm). This method has the advantage of reducing the number of tests.