Evaluation of Cement-Stabilized Mine Tailings as Pavement Foundation Materials

Djellali, Adel; Laouar, Mohamed Salah; Saghafi, Behrooz; Houam, Abdelkader

doi:10.1007/s10706-018-00796-8

Cited by 25 publications

(4 citation statements)

References 32 publications

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“…The Boukhadra iron deposit consists mainly of hematite and is one of the largest in the Algerian-Tunisia border region. [20]. There is a washing station which is used to wash equipment and drain oil from construction machinery.…”

Section: General Setting and Available Datamentioning

confidence: 99%

Wastewater Assessment and Biochemical Oxygen Demand Value Prediction from Mining Operations: A Case Study

Zenati

Djellali

Sarker

2023

Eng. Technol. Appl. Sci. Res.

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Wastewater is a byproduct of industrial or household waste processes, and its contamination level must be determined before treatment. Discharges of liquid effluents generated by mining operations, one of the most prevalent forms of industrial waste water, pose a risk to human health and the environment. This study evaluates the physicochemical quality of industrial liquid effluent discharges from the Boukhadra mine (Algeria). Samples were collected from the washing water to identify the level of contamination of these liquid discharges and to measure physicochemical parameters such as temperature (T), hydrogen potential (pH), Electrical Conductivity (EC), Suspended Solids (SS), Chemical Oxygen Demand (COD), Biological Oxygen Demand for 5 days (BOD5), Oils and Greases (O&G), iron (Fe+2) and Kjeldahl Nitrogen (NTK). It was found that the concentration values of those effluents exceeded the maximum contamination limits specified by international industrial waste standards. A simple and reliable prediction model was developed to estimate DBO5, based on MES, COD, and O&G, by using classical regression analysis and fitting Design of Experiments (DOE) methodology. When comparing the analytical results, it was found that the quadratic model provided a better estimation, with a high correlation coefficient (R2) of 0.9976. The parameters determined in this study will enable engineers to quickly estimate the degree of wastewater contamination and choose adequate treatment strategies.

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Section: General Setting and Available Datamentioning

confidence: 99%

Wastewater Assessment and Biochemical Oxygen Demand Value Prediction from Mining Operations: A Case Study

Zenati

Djellali

Sarker

2023

Eng. Technol. Appl. Sci. Res.

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“…Bearing capacity as well as stability of compacted soil specimens is measured using the CBR test [54,55] that was developed in California, USA. The method employed for the CBR test in this study was the procedure described by BS 1377 Part 4 [53].…”

Section: California Bearing Ratiomentioning

confidence: 99%

Additives optimization for expansive soil subgrade modification based on Taguchi grey relational analysis

Ikeagwuani

Agunwamba

Nwankwo

et al. 2020

Int. J. Pavement Res. Technol.

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Taguchi approach, which is an offline quality control optimization technique, was combined with grey relational analysis (GRA) in this study to evaluate its effectiveness to optimize additives for expansive soil subgrade improvement. Sawdust ash (SDA), quarry dust (QD) and Portland cement (PC), which were the controlled parameters, were the additives utilized in the study. Soil properties evaluated included California bearing ratio (CBR), unconfined compressive strength (UCS) and differential free swell (DFS). Taguchi mixed level orthogonal array, L18 (6^1 x 3^2), was sele cted for the experiment design. Optimal results obtained using only the Taguchi optimization method were found at 8% SDA, 20% QD and 8% PC (for the U CS); 20% SDA, 20% QD and 8% PC (for the CBR) and 20% SDA, 20% QD and 3% PC (for the DFS). While the optimal result obtained using a combination of GRA and Taguchi method was found at 20% SDA, 20% QD and 8% PC. Confirmatory tests and scanning electron microscope analysis performed on the expansive soil treated with the optimal level of additives obtained from the combination of Taguchi method and GRA showed the formation of cementation compounds in the soiladditive mixtures and that clearly revealed that Taguchi GRA can be employed to optimize additives for expansive soil improve ment. Lastly, statistical analysis performed with the designed experiment and evaluated using analysis of variance (ANOVA) showed the significance of the parameters used in this study.

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“…For several decades the reuse of waste materials as construction materials has been studied in depth, e.g. mine tailings [1][2][3], recycled construction and demolition wastes used in road construction, embankments and concrete [4][5][6][7], coal mining waste [8][9], plastic and rubber waste in flexible and rigid pavements, ferrocement mortar [10][11][12], steel slag and glass as secondary aggregates in asphalt mixtures [13][14][15], tungsten mining waste [16], marine sediments [17], bottom ash and fly ash in geotechnical engineering [18], iron and gold mining waste [19], and red mud and lime [20]. In addition, pozzolanic materials such as cement, lime, fly ash, cement kiln dust, and ordinary Portland cement have been used to stabilize some tailings materials for construction purposes [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Geotechnical Characterization of Phosphate Mining Waste Materials for Use in Pavement Construction

Malaoui

Harkati

Soltani

et al. 2023

Eng. Technol. Appl. Sci. Res.

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Waste rock materials are becoming widely used in road pavement and building constructions in many countries. In this work, experimental laboratory tests were carried out on the waste rock produced from the extraction of the phosphate in the Kef-Essenoun mine, to study the performance of road pavement foundations built with these types of material. Two types of waste, namely phosphatic limestone (type 1) and limestone (type 2), were initially tested to determine the most suitable one to be used in pavement structures. The characterization tests showed that the presence of carbonate-fluorapatite and carbonate-fluorapatite, and calcite, dolomite, and quartz are predominant in phosphatic limestone and limestone, respectively. The Los Angeles Abrasion (LA) and Micro-Deval (MD) values range from 59.9% to 90.4% and 42.05% to 86.31% for phosphatic limestone and from 43.64% to 95.88% and 38.25% to 75% for limestone. The CBR values of type 1 and type 2 waste were found to be 10.5% and 18.7% respectively. The results show that these materials, classified as B42ts and B42s respectively, could be used cautiously in capping layers and pavement backfilling materials. Furthermore, they must be treated with a hydraulic binder such as cement in order to improve their physical and mechanical properties.

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Evaluation of Cement-Stabilized Mine Tailings as Pavement Foundation Materials

Cited by 25 publications

References 32 publications

Wastewater Assessment and Biochemical Oxygen Demand Value Prediction from Mining Operations: A Case Study

Wastewater Assessment and Biochemical Oxygen Demand Value Prediction from Mining Operations: A Case Study

Additives optimization for expansive soil subgrade modification based on Taguchi grey relational analysis

Geotechnical Characterization of Phosphate Mining Waste Materials for Use in Pavement Construction

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