Indirect Estimation of Swelling Pressure of Expansive Soil: GEP versus MEP Modelling
In this article, detailed trials were undertaken to study the variation in genetic parameters in order to formulate more robust predictive models using gene expression programming (GEP) and multigene expression programming (MEP) for computing the swelling pressure of expansive soils (Ps-ES). A total...
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2023/1827117 |
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| author | Fazal E. Jalal Mudassir Iqbal Mohsin Ali Khan Babatunde A. Salami Shahid Ullah Hayat Khan Marwa Nabil |
| author_facet | Fazal E. Jalal Mudassir Iqbal Mohsin Ali Khan Babatunde A. Salami Shahid Ullah Hayat Khan Marwa Nabil |
| author_sort | Fazal E. Jalal |
| collection | DOAJ |
| description | In this article, detailed trials were undertaken to study the variation in genetic parameters in order to formulate more robust predictive models using gene expression programming (GEP) and multigene expression programming (MEP) for computing the swelling pressure of expansive soils (Ps-ES). A total of 200 datasets with ten input parameters (i.e., clay fraction CF, liquid limit wL, plastic limit wP, plasticity index IP, specific gravity Gs, swell percent Sp, sand content, silt content, maximum dry density ρdmax, and optimum water content wopt) and one output variable, i.e., Ps-ES are collected from the literature, which comprises 120 internationally publications. The effect of input parameters in contributing to Ps-ES has been validated using Pearson correlation (r), sensitivity analysis (SA), as well as a parametric study. The results reveal that the GP-based techniques correctly characterize the swelling characteristics of the ES, thus leading to reasonable prediction performance; however, the MEP model yielded relatively better performance. Also, the proposed predictive models were compared with widely used AI models (ANN, ANFIS, RF, GB-T, DT, and SVM). The ANN performed relatively better; however, it is recommended to use the GEP and MEP due to the blackbox nature of the ANN. Other models exhibited inferior performance. The SA revealed different importance by the GEP and MEP models, however, its confirmed that the maximum dry density and optimum moisture content significantly affect the Ps-ES. The variation in Ps-ES with changes in input attributes is further corroborated from literature. Hence, it is recommended that the proposed GEP and MEP models can be deployed for computing the Ps-ES which efficiently lessens the laborious and time-consuming testing. |
| format | Article |
| id | doaj-art-e4496e918e6948809118736965ae628d |
| institution | Kabale University |
| issn | 1687-8442 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-e4496e918e6948809118736965ae628d2025-02-03T01:29:52ZengWileyAdvances in Materials Science and Engineering1687-84422023-01-01202310.1155/2023/1827117Indirect Estimation of Swelling Pressure of Expansive Soil: GEP versus MEP ModellingFazal E. Jalal0Mudassir Iqbal1Mohsin Ali Khan2Babatunde A. Salami3Shahid Ullah4Hayat Khan5Marwa Nabil6Department of Civil EngineeringDepartment of Civil EngineeringDepartment of Structural EngineeringInterdisciplinary Research Center for Construction and Building MaterialsDepartment of Civil EngineeringDepartment of Chemical EngineeringDepartment of Structural EngineeringIn this article, detailed trials were undertaken to study the variation in genetic parameters in order to formulate more robust predictive models using gene expression programming (GEP) and multigene expression programming (MEP) for computing the swelling pressure of expansive soils (Ps-ES). A total of 200 datasets with ten input parameters (i.e., clay fraction CF, liquid limit wL, plastic limit wP, plasticity index IP, specific gravity Gs, swell percent Sp, sand content, silt content, maximum dry density ρdmax, and optimum water content wopt) and one output variable, i.e., Ps-ES are collected from the literature, which comprises 120 internationally publications. The effect of input parameters in contributing to Ps-ES has been validated using Pearson correlation (r), sensitivity analysis (SA), as well as a parametric study. The results reveal that the GP-based techniques correctly characterize the swelling characteristics of the ES, thus leading to reasonable prediction performance; however, the MEP model yielded relatively better performance. Also, the proposed predictive models were compared with widely used AI models (ANN, ANFIS, RF, GB-T, DT, and SVM). The ANN performed relatively better; however, it is recommended to use the GEP and MEP due to the blackbox nature of the ANN. Other models exhibited inferior performance. The SA revealed different importance by the GEP and MEP models, however, its confirmed that the maximum dry density and optimum moisture content significantly affect the Ps-ES. The variation in Ps-ES with changes in input attributes is further corroborated from literature. Hence, it is recommended that the proposed GEP and MEP models can be deployed for computing the Ps-ES which efficiently lessens the laborious and time-consuming testing.http://dx.doi.org/10.1155/2023/1827117 |
| spellingShingle | Fazal E. Jalal Mudassir Iqbal Mohsin Ali Khan Babatunde A. Salami Shahid Ullah Hayat Khan Marwa Nabil Indirect Estimation of Swelling Pressure of Expansive Soil: GEP versus MEP Modelling Advances in Materials Science and Engineering |
| title | Indirect Estimation of Swelling Pressure of Expansive Soil: GEP versus MEP Modelling |
| title_full | Indirect Estimation of Swelling Pressure of Expansive Soil: GEP versus MEP Modelling |
| title_fullStr | Indirect Estimation of Swelling Pressure of Expansive Soil: GEP versus MEP Modelling |
| title_full_unstemmed | Indirect Estimation of Swelling Pressure of Expansive Soil: GEP versus MEP Modelling |
| title_short | Indirect Estimation of Swelling Pressure of Expansive Soil: GEP versus MEP Modelling |
| title_sort | indirect estimation of swelling pressure of expansive soil gep versus mep modelling |
| url | http://dx.doi.org/10.1155/2023/1827117 |
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