Proposing a Model for Prediction of Compaction Parameters of Clay Subgrade Soil Stabilized with Portland cement and Iron Ore Mine Tailing By Means Of RSM Method

Authors

1 Associate Professor, Department of Civil Engineering, Sirjan University of Technology, Sirjan, Iran

2 M.Sc. Student, Geotechnical Engineering, Department of Civil Engineering, Sirjan University of Technology, Sirjan, Iran

3 Assistant Professor, Department of Civil Engineering, Sirjan University of Technology, Sirjan,‌Iran

Abstract

The purpose of this study is to provide a model for predicting the dry density of the clayey subgrades stabilized with Portland cement and iron ore mine tailing (IOMT) materials. For this purpose, Portland cement with 0, 6, 9, 12 and 15% and iron ore mine tailing with 0, 10, 20, 30 and 40% was added to clay soil, and then the compaction test was performed using modified proctor method on 25 different compounds and a database of 125 records was prepared. Then, using a response surface method (RSM), a model was proposed to predict the density of the clay subgrade stabilized with IOMT and Portland cement. Input variables in this model include moisture content, percentage of iron ore mine tailing and percentage of Portland cement, and the output variable is dry density of the stabilized clay soil. The regression coefficient of the developed model was 0.9634 which indicates the high accuracy of this model. Also, the predicted R2 (0.9416) indicates its logical compatibility with the adjusted R2 value (0.9551), with respect to a difference less than 0.22 among them. Finally, based on the developed model, two diagrams were developed to predict the maximum dry density and the optimum moisture content of clay subgrade stabilized with Portland cement and iron ore mine tailing. Regarding the results of this study, it is possible to predict the optimum moisture content as well as maximum dry density of the clay subgrade with low plasticity stabilized with Portland cement and iron ore mine tailing.
 

Keywords

References

-افتخاریان، ل.، تی تی دژ، الف.، خاکباز، ب.، سارنگ، ا.، صادقیان، پ.، مهین روستا، ر.، نواری، م. (1393) "آزمایشگاه مکانیک خاک"، انتشارات نشر کتاب دانشگاهی، چاپ پنجم.
-قاسمی، م.، نظام‌آبادی، الف.، (1395)، "بررسی تأثیر ضایعات معادن سنگ‌آهن بر مقاومت فشاری شفته‌آهک"، سومین کنفرانس بین‌المللی دستاوردهای نوین پژوهشی در مهندسی عمران، معماری و مدیریت شهری، 26 شهریورماه، تهران، ایران.
-قاسمی، م.، نظام‌آبادی، ب.، (1395)، "بررسی تأثیر ضایعات معدن سنگ‌آهن بر مقاومت ملات ماسه سیمان"، سومین کنفرانس بین‌المللی دستاوردهای نوین پژوهشی در مهندسی عمران، معماری و مدیریت شهری، 26 شهریورماه، تهران، ایران.
-"دفتر تدوین ضوابط و معیارهای فنی"، (1390)، "نشریه شماره 234: آیین‌نامه روسازی آسفالتی راه‌های ایران". تجدیدنظر دوم.

-Ardakani, A., Kordnaeij, A. (2017) "Soil compaction parameters prediction using GMDH-type neural network and genetic algorithm", European Journal of Environmental and Civil Engineering,
pp. 1-14.

-ASTM. (2015). "Standard Test Methods for Laboratory Compaction Characteristics of Soil Using Modified Effort (56,000 ft-lbf/ft3 (2,700 kN-m/m3))", D1557−12, West Conshohocken, PA.
-Basha, E. A., Hashim, R., Mahmud, H. B., Muntohar, A. S., (2005) "Stabilization of residual soil with rice husk ash and cement", Construction and Building Materials, Vol. 19, No. 6, pp. 448-453.
-Bastos, C, A, L., Silva, C., G., Mendes, C., J., Peixoto, F, A, R. (2016) "Using Iron Ore Tailings from Tailing Dams as Road Material", Journal of Materials in Civil Engineering, Vol. 28, No. 10.
-Eslami, A., Mola-Abasi, H., shourijeh, P, T. (2013) "Shear Wave Velocity by Polynomial Neural Networks and Genetic Algorithms Based on Geotechnical Soil Properties", Arabian Journal for Science and Engineering, Vol. 38, No. 4, pp. 829-838.
-Gunaydin, O., (2008) "Estimation of soil compaction parameters by using statistical analyses and artificial neural networks", Environmental Geology, 57:203.
-Li, H., (2014) "Experimental Research on Performance of Road Base with Cement Stabilized Iron Tailings Sand", Applied Mechanics and Materials, Vol. 513-517, pp. 60-64.

-Kolay, E., Baser, T. (2014) "Estimating of the Dry Unit Weight of Compacted Soils Using General Linear Model and Multi-layer Perceptron Neural Networks", Applied Soft Computing, Vol. 18, pp. 223-231.

-Kuranchie, F. A. (2015) "Characterisation and applications of iron ore tailings in building and construction projects",Ph.D. thesis, Cowan University, Australia.
-Li, H., (2014) "Experimental Research on Performance of Road Base with Cement Stabilized Iron Tailings Sand", Applied Mechanics and Materials, Vol. 513-517, pp. 60-64.
-Myers Raymond H., Montgomery, D. C., (2002) "Response Surface Methodology: process and product optimization using designed experiment", A Wiley-Interscience Publication.
-Osinubi, K. J., Eberemu, A. O., & Etim, R. K. (2017), "Stabilization of black cotton soil with lime and iron ore tailings admixture", Transportation Geotechnics, Vol. 10, pp. 85-95.
-Sinha, K. S., Wang, M. C., (2007) "Artificial Neural Network Prediction Models for Soil Compaction and Permeability", Geotechnical and Geological Engineering, Vol. 26, No. 1, pp. 47–64.
- Xu, S., (2013) "Research on Application of Iron Tailings on Road Base", Advanced Materials Research, Vol. 743, pp. 54-57.

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