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<p>This study employs a sophisticated approach integrating grey relational analysis (GRA) and FL with the Taguchi optimization method to enhance expansive soil properties through the utilization of various stabilizers, namely cellulose xanthate (CX), sisal fibre (SF), and soft clayey soil (SCS). The soil improvement phase, saw the soft clay soil which is an unsuitable material for road subgrade construction as deduced from its index properties, stabilized with cellulose xanthate and properly reinforced with sisal fibre strands diced into pieces of about 10&#xa0;cm long following literature recommendations. The Taguchi L<sub>18</sub> experimental design principles was utilized in this study. Experimental responses California Bearing Ratio (CBR), Unconfined Compressive Stress (UCS), and Hydraulic Conductivity Coefficient (HCC), of the composite biopolymerized soil were determined after soil reinforcement. The response indicates a significant improvement of the CBR and UCS values of the soil as a result of the stabilizers. The HCC shows a significant reduction which is credited to the soil stabilizers added to the clay. The simultaneous optimization of CBR, UCS, and HCC, was carried out by initially obtaining signal-to-noise ratios, determined for each quality response and subsequently normalized utilizing GRA theory. These normalized values serve as input variables for the fuzzy logic (FL) system, generating output multiple performance characteristic indices (MPCI). The impact of different factor levels on MPCI is then assessed, aiming to identify the optimal factor level that maximizes averaged MPCI. Subsequently, an optimal combination of ternary stabilizers (96.92%, 2.56%, and 0.51%, for SCS, CX, SF, respectively) is derived. This shows a significant 41%, and 65% increments in the soil CBR and UCS, with its HCC reduced by 91%. Confirmatory experiments and microstructural analyses were conducted to validate the effectiveness of the optimization procedure. This comprehensive methodology not only optimizes stabilizer combinations but also provides significant discernment into their effects on expansive soil properties, thereby offering valuable contributions to highway pavement construction and geotechnical engineering.</p>

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Optimization of Biopolymerized Soft Clay Soil Reinforced with Sisal Fibre for Sustainable Pavement Construction

  • 期刊论文

  • 发表日期：

    2025年7月16日

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  • Michael Chizobam Uwaezuoke,
  • Chijioke Christopher Ikeagwuani,
  • Fidelis Onyebuchi Okafor

摘要

This study employs a sophisticated approach integrating grey relational analysis (GRA) and FL with the Taguchi optimization method to enhance expansive soil properties through the utilization of various stabilizers, namely cellulose xanthate (CX), sisal fibre (SF), and soft clayey soil (SCS). The soil improvement phase, saw the soft clay soil which is an unsuitable material for road subgrade construction as deduced from its index properties, stabilized with cellulose xanthate and properly reinforced with sisal fibre strands diced into pieces of about 10 cm long following literature recommendations. The Taguchi L18 experimental design principles was utilized in this study. Experimental responses California Bearing Ratio (CBR), Unconfined Compressive Stress (UCS), and Hydraulic Conductivity Coefficient (HCC), of the composite biopolymerized soil were determined after soil reinforcement. The response indicates a significant improvement of the CBR and UCS values of the soil as a result of the stabilizers. The HCC shows a significant reduction which is credited to the soil stabilizers added to the clay. The simultaneous optimization of CBR, UCS, and HCC, was carried out by initially obtaining signal-to-noise ratios, determined for each quality response and subsequently normalized utilizing GRA theory. These normalized values serve as input variables for the fuzzy logic (FL) system, generating output multiple performance characteristic indices (MPCI). The impact of different factor levels on MPCI is then assessed, aiming to identify the optimal factor level that maximizes averaged MPCI. Subsequently, an optimal combination of ternary stabilizers (96.92%, 2.56%, and 0.51%, for SCS, CX, SF, respectively) is derived. This shows a significant 41%, and 65% increments in the soil CBR and UCS, with its HCC reduced by 91%. Confirmatory experiments and microstructural analyses were conducted to validate the effectiveness of the optimization procedure. This comprehensive methodology not only optimizes stabilizer combinations but also provides significant discernment into their effects on expansive soil properties, thereby offering valuable contributions to highway pavement construction and geotechnical engineering.