Multi‐Condition Optimization of Plastic and Eggshell as Stabilizer via Surrogate Model

ABSTRACT Since construction and maintaining a highway is often costly, cost control effectiveness is crucial. While there are number of stabilization techniques, using agricultural waste product, including plastic and eggshell, to stabilize soil is one of the most economical and friendly. The aim of this study was to predict the compressive strength of environmentally friendly lateritic modified with eggshell and plastic powder. For this purpose, muilt condition optimization of plastic and eggshell as stabiilizers via surrigate model was used. Latin hypercube samping was used for pairing generation, and a batching ration of 1:4 with water cement ratio of 0.4 was employed. The results indicated that a significant positive change has been noticed in the engineering characteristics of the clayey soil after adding both of ESP (eggshell powder) and PW (plastic waste). These beneficial changes depend on ESP, PW contents and the curing duration. The curing duration significantly improved the engineering characteristics of the stabilized soil samples. It was established that in all the conditions, the eggshell had a significant influence on the California bearing ratio (CBR), optimum moisture content (OMC) and maximum dry density (MDD). The estimated deviations of the optimized and experimental values were found to be 1.70%, 7.74% and 0.52% for ID number 19 for the CBR, OMC and MDD, respectively. For ID number 58, the deviations were found to be 9.0%, 5.34% and 1.38% for the CBR, OMC and MDD, respectively. In the case of ID number 63, similar deviations were found to be 7.5%, 8.13% and 1.74% for the CBR, OMC and MDD, respectively. From the results, it can be seen that ID number 19 was very close to the optimum value with a deviation of 1.70%, 3.74% and 0.52% for the CBR, OMC, and MDD, respectively, which implies that the optimization process can be said to be realistic. This research enhances the understanding of how ESP and PW influence the engineering properties of lateritic soil.

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Publication Details

Journal
The Journal of Engineering
Published
2025-01-01
DOI
https://doi.org/10.1049/tje2.70066
Primary Topic
Innovations in Concrete and Construction Materials
Type
article
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article

Multi‐Condition Optimization of Plastic and Eggshell as Stabilizer via Surrogate Model

Alexander Fordjour, Samuel Anim Ofosu, Frank Owusu Adjei, Augustine Korli Lawer et al.
The Journal of Engineering
Innovations in Concrete and Construction Materials
article

Multi‐Condition Optimization of Plastic and Eggshell as Stabilizer via Surrogate Model

Alexander Fordjour, Samuel Anim Ofosu, Frank Owusu Adjei, Augustine Korli Lawer, Shadrak Osei Brew, Kwadwo A. Oku. Afari
article en

Abstract

ABSTRACT Since construction and maintaining a highway is often costly, cost control effectiveness is crucial. While there are number of stabilization techniques, using agricultural waste product, including plastic and eggshell, to stabilize soil is one of the most economical and friendly. The aim of this study was to predict the compressive strength of environmentally friendly lateritic modified with eggshell and plastic powder. For this purpose, muilt condition optimization of plastic and eggshell as stabiilizers via surrigate model was used. Latin hypercube samping was used for pairing generation, and a batching ration of 1:4 with water cement ratio of 0.4 was employed. The results indicated that a significant positive change has been noticed in the engineering characteristics of the clayey soil after adding both of ESP (eggshell powder) and PW (plastic waste). These beneficial changes depend on ESP, PW contents and the curing duration. The curing duration significantly improved the engineering characteristics of the stabilized soil samples. It was established that in all the conditions, the eggshell had a significant influence on the California bearing ratio (CBR), optimum moisture content (OMC) and maximum dry density (MDD). The estimated deviations of the optimized and experimental values were found to be 1.70%, 7.74% and 0.52% for ID number 19 for the CBR, OMC and MDD, respectively. For ID number 58, the deviations were found to be 9.0%, 5.34% and 1.38% for the CBR, OMC and MDD, respectively. In the case of ID number 63, similar deviations were found to be 7.5%, 8.13% and 1.74% for the CBR, OMC and MDD, respectively. From the results, it can be seen that ID number 19 was very close to the optimum value with a deviation of 1.70%, 3.74% and 0.52% for the CBR, OMC, and MDD, respectively, which implies that the optimization process can be said to be realistic. This research enhances the understanding of how ESP and PW influence the engineering properties of lateritic soil.

The Journal of EngineeringVol. 2025(1)
Koforidua Technical University (GH)
Openalex Percentile: Top 95%
Innovations in Concrete and Construction Materials
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