Polynomial Models Controlling Strength of Zeolite-Cement-Sand Mixtures

Abstract. Treating soil with cement and zeolite is widely used in soil stabilization. This research intends to quantify the impact of cement and zeolite contents, porosity index, and voids/cement ratio on zeolite cemented sands by the splitting tensile strength (t) assessment. The approach of splitting tensile tests using specimens by di erent zeolite replacement percentages was followed. Results indicated that cement was replaced by zeolite at optimum proportion of 30%. Then, improved values of t by the e ect of zeolite and cement chemical properties in the cement sand specimens were attained. Zeolite can have a more signi cant e ect on a compacted mixture if its cement content and porosity increase. In this paper, it is shown that for the zeolite cemented sands, t increases by increase in cement content (C) and reduction in porosity (n); and a power function is welladapted to t both t C and t n. Afterwards, good correlations are obtained between voids/cement ratio (n=c) and the splitting tensile strength ( t ) of the sand-zeolite-cement studied. Finally, based on a number of input variables, namely, porosity (n), replacement of cement by zeolite (Z), and cement content (C), considering the regression approach, an equation is suggested to predict t. Moreover, it is shown that the evolved equation could successfully predict the tensile strength.

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“…It was concluded that the most e ective parameters on the amount of UCS were cement and zeolite contents [16].…”

Section: Introductionmentioning

confidence: 99%

Parameters Controlling Tensile Strength of Zeolite-Cemented Sands

Khajeh¹,

MolaAbasi

Semsani³

2017

Scientia Iranica

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“…This time-dependent reaction involves interactions among sand, cement, and zeolite to create various kinds of cementitious products. Several researchers such as Mola-Abasi et al [13] and Chenarboni et al [22] have also expressed that with lengthening the curing time in soil stabilization with zeolite, the pozzolanic reactions occur. Thus, the soil gets stiff and the strength increases significantly.…”

Section: Results Of Cbr Testsmentioning

confidence: 99%

“…Several researchers have conducted extensive investigations on soil stabilization using zeolite. Mola-Abasi and Shooshpasha [13] proposed a polynomial model using Group Method of Data Handling (GMDH) for the UCS prediction of zeolite-cemented sand mixtures. Mariri et al [14] depicted that the incorporation of zeolite in cemented loess can improve the strength remarkably.…”

Section: Introductionmentioning

confidence: 99%

Effect of Zeolite on the Compaction Properties and California Bearing Ratio (CBR) of Cemented Sand

Norouznejad

Shooshpasha

Mirhosseini

et al. 2021

Int. j. eng. technol. innov.

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This research investigates the impact of zeolite on the compaction properties and California Bearing Ratio (CBR) of cemented sand. For this purpose, firstly, sand, cement (2, 4, 6, and 8% by the sand dry weight), and zeolite (0%, 30%, 60%, and 90% of cement content, as a replacement material) are mixed. Then, various cylindrical samples with sizes of 101×116 mm and 119×152 mm are prepared for compaction and CBR tests, respectively. After curing for 28 days, the samples are tested according to the standards of compaction and CBR tests. The results depict that the use of zeolite reduces Maximum Dry Density (MDD) while it increases Optimum Moisture Content (OMC) of cemented sand. Furthermore, the inclusion of zeolite up to 30% of cement content contributes to the highest CBR values due to the pozzolanic and chemical reactions. Finally, some correlations with high correlation coefficients are proposed between the CBR and MDD of zeolite-cemented sand.

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“…Hence, it can be concluded that this approach is completely suitable to estimate the UCS. Although MolaAbasi et al have already assessed the UCS of the cemented and zeolite-cemented specimens using empirical correlations and GMDH [22], in this paper, the capability of the current approach is analysed. In Table 8, the employed method is compared with the predicted unconfined compressive strength, other neural networks, and polynomial models.…”

Section: -Discussionmentioning

confidence: 99%

“…The replacement of cement by zeolite at 30% led to providing the highest UCS value of the zeolitecement-sand blends after 28 days of curing [22].…”

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confidence: 98%

Predicting the stress-strain behaviour of zeolite-cemented sand based on the unconfined compression test using GMDH type neural network

MolaAbasi

Saberian

Kordnaeij

et al. 2019

Journal of Adhesion Science and Technology

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Stabilizing sand with cement is considered to be one of the most cost-effective and useful methods of in-situ soil improvement, and the effectiveness is often assessed using unconfined compressive tests. In certain cases, zeolite and cement blends have been used; however, even though this is a fundamental issue that affects the settlement response of a soil, very few attempts have been made to assess the stress-strain behaviour of the improved soil. Also, the majority of previous studies that predicted the unconfined compressive strength (UCS) of zeolite cemented sand did not examine the effect of the soil improvement variables and strain concurrently. Therefore, in this paper, an initiative is taken to predict the relationships for the stress-strain behaviour of cemented and zeolite-cemented sand. The analysis is based on using the unconfined compression test results and Group Method of Data Handling (GMDH) type Neural Network (NN). To achieve this end, 216 stress-strain diagrams resulting from unconfined compression tests for different cement and zeolite contents, relative densities, and curing times are collected and modelled via GMDH type NN. In order to increase the accuracy of the predictions, the parameters associated with successive stress and strain increments are considered. The results show that the suggested two and three hidden layer models appropriately characterise the stressstrain variations to produce accurate results. Moreover, the UCS values derived from this method are much more accurate than those provided in previous approaches. Moreover, the UCS values derived from this method are much more accurate than those provided in previous approaches which simply proposed the UCS values based on the content of the chemical binders, compaction, and/or curing time, not considering the relationship between stress and strain.Finally, GMDH models can be considered to be a powerful method to determine the mechanical properties of a soil including the stress-strain relationships. The other novelty of the work is that the accuracy of the prediction of the strain-stress behaviour of zeolite-cement-sand samples using the GMDH models is much higher than that of the other models.

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Polynomial Models Controlling Strength of Zeolite-Cement-Sand Mixtures

Cited by 7 publications

References 27 publications

Parameters Controlling Tensile Strength of Zeolite-Cemented Sands

Parameters Controlling Tensile Strength of Zeolite-Cemented Sands

Effect of Zeolite on the Compaction Properties and California Bearing Ratio (CBR) of Cemented Sand

Predicting the stress-strain behaviour of zeolite-cemented sand based on the unconfined compression test using GMDH type neural network

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