Strength enhancement of Clayey Sand subgrade using lime and rice husk ash

Lakshmi, S. Muthu; Geetha, S.; Selvakumar, M.; Susanna, K. Divya

doi:10.1016/j.matpr.2021.01.039

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…Based on several studies, the use of 2%-5% lime and 15%-25% fly ash can provide an optimal increase in CBR values [33], [34], [38]. As for the use of lime with rice husk ash, the proportion of lime ranges from 4%-10%, and the proportion of rice husk ash ranges from 10%-25% [4], [19], [32], [35], [36], [39]. Meanwhile, mixing the three materials (lime, fly ash, and rice husk ash) as soil stabilizers is still rarely conducted.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation on the properties of Borneo soft soil stabilized with industrial waste

Prasetia,

Hutagamissufardal,

Jimmy

et al. 2023

IJEMS

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This research aims to investigate the physical and mechanical properties of soft soil stabilized using industrial wastes, namely fly ash and rice husk ash. For this purpose, 6 (six) variations in the composition of fly ash (F), lime (L), and rice husk ash (R) were prepared. The variations in sample composition are SFLR1 (F: 15%, L: 2.5%, R: 5%), SFLR2 (F: 20%, L: 2.5%, R: 5%), SFLR3 (F: 25%, L: 2.5%, R: 5%), SFLR4 (F: 15%, L: 5%, R: 10%), SFLR5 (F: 20%, L: 5%, R: 10%) and SFLR6 (F: 25%, L: 5%, R: 10%). Meanwhile, soft soil was obtained from Banjarmasin City in South Borneo. The sample's physical properties were analyzed using the Atterberg limit test. Moreover, the California Bearing Ratio (CBR) and direct share tests are conducted to assess the sample's mechanical properties. The research results can provide confidence that fly ash, lime, and rice husk ash have the potential to improve the physical and mechanical properties of Borneo soft soil. The results of the Atterberg limit test show that industrial wastes can lower the liquid limit and increase the plastic limit; thus, the soil plasticity index decreases. As for the CBR test results, the untreated soft soil bearing ratio value of 1.4% can be increased to 2.6% after being treated with industrial wastes. In addition, using industrial wastes also decreases the swelling of the soil. Moreover, it can be seen that greater use of fly ash can improve the mechanical properties of the soft soil. However, increasing the composition of lime and rice husk ash can reduce the mechanical properties of the soft soil. Based on the experimental results, it is proposed to use SFLR3 as soil stabilization mixtures.

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Section: Introductionmentioning

confidence: 99%

Experimental investigation on the properties of Borneo soft soil stabilized with industrial waste

Prasetia,

Hutagamissufardal,

Jimmy

et al. 2023

IJEMS

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“…Agro-based environmentally friendly pozzolanic materials, such as rice husk ash, palm oil fuel ash, bagasse ash, coconut shell ash, coconut husk ash, corn cob ash, almond shell ash, etc., have gained considerable attention in soil stabilisation given the ever-growing costs of their disposal [7][8][9][10][11][12][13][14][15][16][17][18]. The major chemical composition of these plant-based pozzolans are alumino-silicates [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…Finally, it is recommended that an implementation of the concepts derived from this study be applied during the preliminary stages of soil stabilisation for civil construction and related ground improvement applications. A dataset of 392 soils stabilised using cementitious additives'-enriched agro-based pozzolans in various proportions and combinations, compacted and cured for 7, 14 and 28 days were compiled from a very intensive literature search [7,17,21,22,35,44,47,49,50,[53][54][55][56]63,67]. As stated previously, most agro-based pozzolanic materials are composed mainly of alumino-silicates.…”

Section: Introductionmentioning

confidence: 99%

Strength Predictive Modelling of Soils Treated with Calcium-Based Additives Blended with Eco-Friendly Pozzolans—A Machine Learning Approach

2022

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The unconfined compressive strength (UCS) of a stabilised soil is a major mechanical parameter in understanding and developing geomechanical models, and it can be estimated directly by either lab testing of retrieved core samples or remoulded samples. However, due to the effort, high cost and time associated with these methods, there is a need to develop a new technique for predicting UCS values in real time. An artificial intelligence paradigm of machine learning (ML) using the gradient boosting (GB) technique is applied in this study to model the unconfined compressive strength of soils stabilised by cementitious additive-enriched agro-based pozzolans. Both ML regression and multinomial classification of the UCS of the stabilised mix are investigated. Rigorous sensitivity-driven diagnostic testing is also performed to validate and provide an understanding of the intricacies of the decisions made by the algorithm. Results indicate that the well-tuned and optimised GB algorithm has a very high capacity to distinguish between positive and negative UCS categories (‘firm’, ‘very stiff’ and ‘hard’). An overall accuracy of 0.920, weighted recall rates and precision scores of 0.920 and 0.938, respectively, were produced by the GB model. Multiclass prediction in this regard shows that only 12.5% of misclassified instances was achieved. When applied to a regression problem, a coefficient of determination of approximately 0.900 and a mean error of about 0.335 were obtained, thus lending further credence to the high performance of the GB algorithm used. Finally, among the eight input features utilised as independent variables, the additives seemed to exhibit the strongest influence on the ML predictive modelling.

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The effect of polypropylene and glass fibers on strength and failure behavior of clayey sand soil

Rajabi

Ghorashi²,

Yeganeh³

2022

Arab J Geosci

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Strength enhancement of Clayey Sand subgrade using lime and rice husk ash

Cited by 7 publications

References 16 publications

Experimental investigation on the properties of Borneo soft soil stabilized with industrial waste

Experimental investigation on the properties of Borneo soft soil stabilized with industrial waste

Strength Predictive Modelling of Soils Treated with Calcium-Based Additives Blended with Eco-Friendly Pozzolans—A Machine Learning Approach

The effect of polypropylene and glass fibers on strength and failure behavior of clayey sand soil

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