Experimental Study on Durability Degradation of Geopolymer-Stabilized Soil under Sulfate Erosion

Wang, Guanci; Chen, Shanling; Xia, Minmin; Zhong, Wenxiang; Han, Xuegang; Luo, Biao; Sabri, Mohanad Muayad Sabri; Huang, Jiandong

doi:10.3390/ma15155114

Cited by 12 publications

(5 citation statements)

References 34 publications

(43 reference statements)

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“…Continuing to develop new soil stabilizing products, Wang et al study the potential application of ash and slag fly-based geopolymers as stabilizers for soft soils in sulfate erosion areas to promote environmental protection and waste recycling [10]. Finally, in 2023, Su et al [11] conducted micromorphology, element composition and pore structure tests to compare and investigate the physical properties and micromechanism of solidified geopolymer-based on slag/fly ash, organic clay (GSO) and solidified cement organic clay (OCS).…”

Section: Introductionmentioning

confidence: 99%

Use of Bottom Ash from a Thermal Power Plant and Lime to Improve Soils in Subgrades and Road Embankments

Vega-Zamanillo,

López-López,

López-López

et al. 2024

Applied Sciences

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The present study has focused on stabilizing the soils of the embankments and improving the mechanical properties of gravel in subbases of pavements with different contents of bottom ash from thermal power plants and low percentages of lime. The density, humidity, simple resistance strength and bearing capacity of the new materials resulting from this combination have been studied. The results indicated that the optimal proportion of bottom ash added to the analyzed soil is 15%, while the optimal addition of lime is 1% for application in embankments and 2% for application in road subgrades. In clay soil that has a low simple resistance strength when 25% of bottom ash is added without lime, it can double the resistance. In the case of the gravel evaluated, it was found that the optimal ratio between the addition of bottom ash and lime is 6.5. In conclusion, it can be noted that soil that does not have any resistance when certain percentages of bottom ash are added, its properties are improved to be used in embankments.

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Section: Introductionmentioning

confidence: 99%

Use of Bottom Ash from a Thermal Power Plant and Lime to Improve Soils in Subgrades and Road Embankments

Vega-Zamanillo,

López-López,

López-López

et al. 2024

Applied Sciences

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“…The cement production process, due to the use of limestone as the main raw material, will emit a large amount of CO 2 into the air, as well as harmful gases and dust, such as SO 2 and NO X , which aggravate the greenhouse effect and cause environmental pollution. [ 5 , 6 , 7 ]. In addition, the preparation of cement needs the support of electric power resources, which mainly take coal as the basic fuel, and the combustion of coal is accompanied by the production of industrial waste, such as fly ash and slag, which will not only affect the ecological environment, but also occupy a large number of land resources [ 8 , 9 , 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel MBAS-RF Approach to Predict Mechanical Properties of Geopolymer-Based Compositions

Chen

Zhou

Shi

et al. 2023

Gels

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Using gels to replace a certain amount of cement in concrete is conducive to the green concrete industry, while testing the compressive strength (CS) of geopolymer concrete requires a substantial amount of substantial effort and expense. To solve the above issue, a hybrid machine learning model of a modified beetle antennae search (MBAS) algorithm and random forest (RF) algorithm was developed in this study to model the CS of geopolymer concrete, in which MBAS was employed to adjust the hyperparameters of the RF model. The performance of the MBAS was verified by the relationship between 10-fold cross-validation (10-fold CV) and root mean square error (RMSE) value, and the prediction performance of the MBAS and RF hybrid machine learning model was verified by evaluating the correlation coefficient (R) and RMSE values and comparing with other models. The results show that the MBAS can effectively tune the performance of the RF model; the hybrid machine learning model had high R values (training set R = 0.9162 and test set R = 0.9071) and low RMSE values (training set RMSE = 7.111 and test set RMSE = 7.4345) at the same time, which indicated that the prediction accuracy was high; NaOH molarity was confirmed as the most important parameter regarding the CS of geopolymer concrete, with the importance score of 3.7848, and grade 4/10 mm was confirmed as the least important parameter, with the importance score of 0.5667.

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“…These soils cannot support the loading during construction or the duration of the service life [1,2]. Soft soil (SS) is frequently linked to a fluctuation in water content that reduces shear strength and causes swelling, shrinkage, settlement, and consolidation, which can seriously harm a civil engineering project [3,4]. In civil engineering construction, such as foundations and pavements, soil stabilization with lime or cement is a well-established soil treatment technology widely used to increase the load-bearing capacity of soft and weak soils [5,6].…”

Section: Introductionmentioning

confidence: 99%

Influence of Curing Time and Initial Moisture Content on Metakaolin-Based Geopolymer-Stabilized Soft Soil

Wassie,

Demir,

Köktan

2023

Advances in Civil Engineering

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This study thoroughly investigated the impact of initial moisture content and curing time on metakaolin (MK)-based geopolymer stabilized soft soil. The stabilized soft soil was characterized with an unconfined compressive strength test, scanning electron microscopy, energy dispersive X-ray spectroscopy (EDS), and compaction test. The geopolymer was used at different concentrations (5%, 10%, and 15% of the dry weight of the soil), and the soft soil was prepared at its initial moisture content, which ranges from 0.75 LL to 1.25 LL. The results of the test indicate that there was an increase in yield stress at low initial moisture content. Conversely, the yield stress experienced a decrease at high initial moisture content. Furthermore, the strength of geopolymer-stabilized soil increased as the curing time increased, regardless of the binder and initial moisture contents. The microstructure analysis confirmed that the stabilized soil had a denser microstructure, the formation of homogeneous gel, and fewer microcracks and pores. As the automatic compaction test revealed, the maximum dry density increased at higher binder contents while the optimum moisture content decreased. This research demonstrates that stabilizers made with metakaolin can efficiently stabilize soft soils. It is worthwhile to conduct further studies on the durability, shear tests, and cost of using geopolymer for soil stabilization under varying environmental conditions.

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Experimental Study on Durability Degradation of Geopolymer-Stabilized Soil under Sulfate Erosion

Cited by 12 publications

References 34 publications

Use of Bottom Ash from a Thermal Power Plant and Lime to Improve Soils in Subgrades and Road Embankments

Use of Bottom Ash from a Thermal Power Plant and Lime to Improve Soils in Subgrades and Road Embankments

A Novel MBAS-RF Approach to Predict Mechanical Properties of Geopolymer-Based Compositions

Influence of Curing Time and Initial Moisture Content on Metakaolin-Based Geopolymer-Stabilized Soft Soil

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