Prediction and Evaluation of Grain Size-Dependent Maximum Dry Density for Gravelly Soil
Publication: International Journal of Geomechanics
Volume 20, Issue 9
Abstract
Although the influence of gradation on soil properties has been recognized, the grain sizes have not yet been fully considered in maximum dry density (MDD) evaluation and prediction. This study explores the impacts of full grain sizes on the MDD and evaluates MDDs through different particle size distribution (PSD) curves of gravelly soils. First, full grain sizes, d10–d100, were extracted from 90 gravelly soil samples and employed as input parameters to develop the neural model for MDD, by using genetic algorithm (GA) to optimize the back-propagation (BP) neural network. A mean impact value (MIV) method was then proposed to quantify the impact of each grain size, followed by the vibrating compaction tests for 22 artificially designated gravelly soil specimens to verify the model and evaluate the MDDs based on grain sizes. The model analysis and verification tests agreed with each other and clearly showed the intrinsic dependence of grain sizes on MDD for gravelly soils. As revealed by MIV analysis, d50–d100 and d10–d40 displayed positive and negative impact to MDD during compaction, behaving as the relatively coarse and fine grain sizes, respectively. Additionally, the relative impact weight showed that d100 tends to have the largest impact to MDD, and high-sensitivity (HS), medium sensitivity (MS), and low sensitivity (LS) could be proposed to distinguish these grain sizes. As the MDD was found to correspond exactly to the unique soil gradation, the full grain sizes should be employed to precisely predict and correctly evaluate the MDD of gravelly soils.
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Acknowledgments
This research has been supported by the National Key R&D Program of China (Grant No. 2017YFC0504902-05) and the Key Laboratory of Geological Hazards on Three Gorges Reservoir Area (China Three Gorges University), Ministry of Education (Grant No. 2017KDZ08). The scholarship program for visiting scholar to the University of Auckland provided by the China Scholarship Council is appreciated. The authors also gratefully acknowledge Ryan Yan for his suggestions.
References
Azari, T., and N. Samani. 2018. “Modeling the Neuman’s well function by an artificial neural network for the determination of unconfined aquifer parameters.” Comput. Geosci. 22 (4): 1135–1148. https://doi.org/10.1007/s10596-018-9742-8.
Bao, W. X., X. L. Guo, and W. J. Yang. 2017. “Analysis on compaction characteristics of natural gravel for subgrade filling in arid desert region.” [In Chinese.] China J. Highway Transp. 30 (2): 18–24.
Chang, C. S., Y. Deng, and Z. Yang. 2017. “Modeling of minimum void ratio for granular soil with effect of particle size distribution.” J. Eng. Mech. 143 (9): 04017060. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001270.
Chen, J., H. Li, D. Sheng, and W. Li. 2015a. “A hybrid data-driven modeling method on sensor condition monitoring and fault diagnosis for power plants.” Int. J. Electr. Power Energy Syst. 71: 274–284. https://doi.org/10.1016/j.ijepes.2015.03.012.
Chen, J., Q. Luo, L. W. Jiang, and M. Z. Zhao. 2015b. “An oversize correction method of dry density for non-cohesive soils filling the embankment of high-speed railway.” Sci. China Technol. Sci. 58 (2): 211–218. https://doi.org/10.1007/s11431-014-5693-z.
Chen, J. R., and F. H. Kulhawy. 2014. “Characteristics and intercorrelations of index properties for cohesionless gravelly soils.” In Geo-Congress 2014 Technical Papers: Geo-Characterization and Modeling for Sustainability, Geotechnical Special Publication 234, edited by M. Abu-Farsakh, X. Yu, and L. R. Hoyos, 1–13. Reston, VA: ASCE.
Cho, G.-C., J. Dodds, and J. C. Santamarina. 2006. “Particle shape effects on packing density, stiffness, and strength: Natural and crushed sands.” J. Geotech. Geoenviron. Eng. 132 (5): 591–602. https://doi.org/10.1061/(ASCE)1090-0241(2006)132:5(591).
Ding, S., C. Su, and J. Yu. 2011. “An optimizing BP neural network algorithm based on genetic algorithm.” Artif. Intell. Rev. 36 (2): 153–162. https://doi.org/10.1007/s10462-011-9208-z.
Dombi, G. W., P. Nandi, J. M. Saxe, A. M. Ledgerwood, and C. E. Lucas. 1995. “Prediction of rib fracture injury outcome by an artificial neural network.” J. Trauma: Inj. Infect. Crit. Care 39 (5): 915–921. https://doi.org/10.1097/00005373-199511000-00016.
Enomoto, T., O. H. Qureshi, T. Sato, and J. Koseki. 2013. “Strength and deformation characteristics and small strain properties of undisturbed gravelly soils.” Soils Found. 53 (6): 951–965. https://doi.org/10.1016/j.sandf.2013.10.004.
Esmaeili, R., and M. R. Dashtbayazi. 2014. “Modeling and optimization for microstructural properties of Al/SiC nanocomposite by artificial neural network and genetic algorithm.” Expert Syst. Appl. 41 (13): 5817–5831. https://doi.org/10.1016/j.eswa.2014.03.038.
Feng, R. L., Y. Wang, and Y. L. Xie. 2007. “Test on vibrated compaction properties of coarse-grained soil.” [In Chinese.] China J. Highway Transp. 20 (5): 19–23.
Fragaszy, R., W. Su, and F. Siddiqi. 1990. “Effects of oversize particles on the density of clean granular soils.” Geotech. Test. J. 13 (2): 106–114. https://doi.org/10.1520/GTJ10701J.
Ghodrati, A., and A. Aghaei Araei. 2017. “Artificial neural networks for modeling shear modulus and damping behavior of gravelly materials.” Int. J. Geomech. 17 (2): 04016060. https://doi.org/10.1061/(ASCE)GM.1943-5622.0000660.
Ham, T. G., Y. Nakata, R. P. Orense, and M. Hyodo. 2010. “Influence of gravel on the compression characteristics of decomposed granite soil.” J. Geotech. Geoenviron. Eng. 136 (11): 1574–1577. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000370.
He, Z. B., X. H. Wen, H. Liu, and J. Du. 2014. “A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region.” J. Hydrol. 509: 379–386. https://doi.org/10.1016/j.jhydrol.2013.11.054.
Head, K. H. 2006. Manual of soil laboratory testing, Volume 1: Soil classification and compaction tests. 3rd ed. London: Whittles Publishing.
Howard, A. 2013. “Updates-uniform soil groups, maximum density of gravel, percent compaction.” In Pipelines 2013: Pipelines and trenchless construction and renewals—A global perspective, edited by S. Arnaout, and L. Slavin, 1138–1148. Reston, VA: ASCE.
Hubler, J., A. Athanasopoulos-Zekkos, H. Ohm, and R. Hryciw. 2014. “Effect of particle morphology on the monotonic response of gravel-sized soils through large-scale simple shear testing.” In Geo-Congress 2014 Technical Papers: Geo-Characterization and Modeling for Sustainability, Geotechnical Special Publication 234, edited by M. Abu-Farsakh, X. Yu, and L. R. Hoyos, 683–682. Reston, VA: ASCE.
Jiang, J. L., X. Su, H. Zhang, X. H. Zhang, and Y. J. Yuan. 2013. “A novel approach to active compounds identification based on support vector regression model and mean impact value.” Chem. Biol. Drug Des. 81 (50): 650–657. https://doi.org/10.1111/cbdd.12111.
Liao, Q., and B. Zhao. 2016. “Application of removal extension method in sandy gravel maximum dry density test.” [In Chinese.] Water Power 42 (5): 102–105.
Liu, Y., X. D. Song, Z. H. Nie, and X. Wang. 2014. “Prediction model of maximum dry density of coarse grained soil using BP neural networks.” [In Chinese.] J. Railway Sci. Eng. 11 (3): 107–110.
MOTPRC (Ministry of Transportation of the People’s Republic of China). 2007. Test methods of soil for highway engineering. JTG E40-2007. Beijing: MOTPRC.
Nagula, S. S., R. G. Robinson, and J. M. Krishnan. 2018. “Mechanical characterization of pavement granular materials using hardening soil model.” Int. J. Geomech. 18 (12): 04018157. https://doi.org/10.1061/(ASCE)GM.1943-5622.0001291.
Omar, M., A. Shanableh, A. Basma, and S. Barakat. 2003. “Compaction characteristics of granular soils in United Arab Emirates.” Geotech. Geol. Eng. 21 (3): 283–295. https://doi.org/10.1023/A:1024927719730.
Patra, C., N. Sivakugan, and B. Das. 2010. “Relative density and median grain-size correlation from laboratory compaction tests on granular soil.” Int. J. Geotech. Eng. 4 (1): 55–62. https://doi.org/10.3328/IJGE.2010.04.01.55-62.
Prochaska, A. B., and V. P. Drnevich. 2005. “One-point vibrating hammer compaction test for granular soils.” In Advances in Pavement Engineering, Geotechnical Special Publication 130, edited by C. W. Schwartz, E. Tutumluer, and L. Tashman, 1–15. Reston, VA: ASCE.
Sattari, M. T., A. Farkhondeh, and J. A. Patrick. 2018. “Estimation of sodium adsorption ratio indicator using data mining methods: A case study in Urmia Lake basin, Iran.” Environ. Sci. Pollut. Res. 25 (5): 4776–4786. https://doi.org/10.1007/s11356-017-0844-y.
Sheng, X. T., P. Z. Ding, and G. S. Zhu. 2016. “Effects of gradation scale method on density and seepage property of coarse-grained soil.” [In Chinese.] Yangtze River 47 (24): 80–83.
Sulewska, M. J. 2010. “Prediction models for minimum and maximum dry density of non-cohesive soils.” Pol. J. Environ. Stud. 19 (4): 797–804.
Venkatesan, D., K. Kannan, and R. Saravanan. 2009. “A genetic algorithm-based artificial neural network model for the optimization of machining processes.” Neural Comput. Appl. 18 (2): 135–140. https://doi.org/10.1007/s00521-007-0166-y.
Wang, W., M. Li, R. H. E. Hassanien, M. E. Ji, and Z. K. Feng. 2017. “Optimization of thermal performance of the parabolic trough solar collector systems based on GA-BP neural network model.” Int. J. Green Energy 14 (10): 819–830. https://doi.org/10.1080/15435075.2017.1333433.
Weng, M. C., B. L. Chu, and Y. L. Ho. 2013. “Elastoplastic deformation characteristics of gravelly soils.” J. Geotech. Geoenviron. Eng. 139 (6): 947–955. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000827.
Ye, W. M. 2004. “Experimental study on compaction degree of subgrade filled with large grain soils.” [In Chinese.] In China Highway Transportation Society 2004 Annual Academic Conf., 96–100. Beijing, China: China Highway Transportation Society.
Zhang, L. M., and X. Li. 2010. “Microporosity structure of coarse granular soils.” J. Geotech. Geoenviron. Eng. 136 (10): 1425–1436. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000348.
Zhao, H. F., L. M. Zhang, and D. S. Chang. 2013. “Behavior of coarse widely graded soils under low confining pressures.” J. Geotech. Geoenviron. Eng. 139 (1): 35–48. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000755.
Zhu, C., B. Yan, J. Liu, and Z. Wang. 2007. “Experimental study on maximum dry density of overdiameter coarse-grained earth.” [In Chinese.] Chin. J. Rock Mech. Eng. 26 (Suppl. 2): 4090–4094.
Zhu, J. G., H. Y. Weng, X. M. Wu, and H. L. Liu. 2010. “Experimental study of compact density of scaled coarse-grained soil.” [In Chinese.] Rock Soil Mech. 31 (8): 2394–2398.
Zuo, Y. Z., W. Zhang, J. J. Pan, and N. Zhao. 2015. “Effects of gradation scale method on maximum dry density of coarse-grained soil.” [In Chinese.] Rock Soil Mech. 36 (Suppl. 1): 417–422.
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International Journal of Geomechanics
Volume 20 • Issue 9 • September 2020
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© 2020 American Society of Civil Engineers.
History
Received: Aug 4, 2019
Accepted: Mar 24, 2020
Published online: Jun 25, 2020
Published in print: Sep 1, 2020
Discussion open until: Nov 25, 2020
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