Continuous Compaction Control Technology for Granite Residual Subgrade Compaction
Publication: Journal of Materials in Civil Engineering
Volume 30, Issue 12
Abstract
The implementation of roller-integrated continuous compaction control (CCC) technology on three types of granite residual subgrade (GRS) was evaluated in this work; the three types of GRS are cement-treated GRS, GRS with aggregate, and natural GRS. Four common roller measurement values were calculated and analyzed: compaction meter value (CMV), compaction control value (CCV), machine drive power (MDP), and acceleration amplitude (AA). Both the sand cone test and the geodetic leveling test were conducted to evaluate the soil compaction efficiency during construction. Results revealed that cement-treated GRS could be compacted more easily than untreated materials with the same compaction effort. The correlation analyses between point measurements and roller measurement values indicate that the optimum roller measurement values for the cement-treated GRS, the GRS with aggregate, and natural GRS are CMV, AA, and CMV, respectively. Meanwhile, roller measurement values strongly rely on roller operation parameters and lift thickness, especially for the cement-treated GRS.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The study was funded by the Fundamental Research Funds for the Central Universities (22120170129) and the Department of Transportation (DOT) of Jiangxi Province, China.
References
Adam, D., and H. Brandl. 2003. “Sophisticated roller integrated continuous compaction control.” In Proc., 12th Asian Regional Conf. on Soil Mechanics and Geotechnical Engineering-Geotechnical Infrastructure for the New Millennium, 427–430. Singapore: World Scientific.
Barman, M., M. Nazari, S. Imran, S. Commuri, M. Zaman, F. Beainy, and D. Singh. 2014. “Application of intelligent compaction technique in real-time evaluation of compaction level during construction of subgrade.” In Proc., Transportation Research Board 93rd Annual Meeting, No. 14-5183. Washington, DC: Transportation Research Board.
Briaud, J. L., and J. Seo. 2003. Intelligent compaction: Overview and research needs. College Station, TX: Texas A&M Univ.
Forssblad, L. 1980. “Compaction meter on vibrating rollers for improved compaction control.” In Vol. 2 of Proc., Int. Conf. on Compaction, 541–546. Paris: Laboratoire Central des Ponts et Chausees.
Hu, W., B. S. Huang, X. Shu, and M. E. Woods. 2017a. “Utilising intelligent compaction meter values to evaluate construction quality of asphalt pavement layers.” Road Mater. Pavement Des. 18 (4): 980–991. https://doi.org/10.1080/14680629.2016.1194882.
Hu, W., X. Y. Jia, B. S. Huang, and H. Park. 2017b. “Evaluation of compactability of asphalt mixture utilizing asphalt vibratory compactor.” Constr. Build. Mater. 139: 419–429. https://doi.org/10.1016/j.conbuildmat.2017.02.070.
Hu, W., X. Shu, X. Y. Jia, and B. S. Huang. 2017c. “Recommendations on intelligent compaction parameters for asphalt resurfacing quality evaluation.” J. Constr. Eng. Manage. 143 (9): 0401706. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001361.
Hu, W., X. Shu, X. Y. Jia, and B. S. Huang. 2018. “Geostatistical analysis of intelligent compaction measurements for asphalt pavement compaction.” Autom. Constr. 89: 162–169. https://doi.org/10.1016/j.autcon.2018.01.012.
Kröber, W., R. Floss, and W. Wallrath. 2001. “Dynamic soil stiffness as quality criterion for soil compaction.” In Geotechnics for roads, rail tracks, and earth structures, 189–199. Lisse, Netherlands: A.A.Balkema.
Kumar, S. A., R. Aldouri, S. Nazarian, and J. Si. 2016a. “Accelerated assessment of quality of compacted geomaterials with intelligent compaction technology.” Constr. Build. Mater. 113: 824–834. https://doi.org/10.1016/j.conbuildmat.2016.03.117.
Kumar, S. A., M. Mazari, and J. Garibay. 2016b. “Compaction quality monitoring of lime-stabilized clayey subgrade using intelligent compaction technology.” In Proc., Int. Conf. on Transportation and Development, 778–790. Reston, VA: ASCE.
Meehan, C. L., D. V. Cacciola, F. S. Tehrani, and W. J. Baker. 2017. “Assessing soil compaction using continuous compaction control and location-specific in situ test.” Autom. Constr. 73: 31–44. https://doi.org/10.1016/j.autcon.2016.08.017.
Mooney, M., and D. Adam. 2007. “Vibration roller integrated measurement of earthwork compaction: An overview.” In Proc., 7th Int. Symp. on Field Measurements in Geomechanics (FMGM 07). Boston: ASCE.
Mooney, M., P. Gorman, E. Farouk, J. N. Gonzalez, and A. S. Akanda. 2003. Exploring vibration based intelligent soil compaction. Oklahoma City: Oklahoma Dept. of Transportation.
Mooney, M., R. V. Rinehart, N. W. Facas, O. M. Musimbi, D. J. White, and P. K. R. Vennapusa. 2010. Intelligent soil compaction systems. Washington, DC: NCHRP.
Petersen, D., J. Siekmeier, C. Nelson, and R. Peterson. 2006. “Intelligent soil compaction technology: Results and a roadmap toward widespread use.” Transp. Res. Rec. 1975: 81–88. https://doi.org/10.3141/1975-11.
Rahman, F., M. Hossain, M. M. Hunt, and S. A. Romanoschi. 2008. “Soil stiffness evaluation for compaction control of cohesionless embankments.” Geotech. Test. J. 31 (5): 442–451. https://doi.org/10.1520/GTJ100971.
Tehrani, F. S. 2009. “An investigation of continuous compaction control systems.” M.Sc. thesis, Univ. of Delaware.
Thompson, M. J., and D. J. White. 2007. “Field calibration and spatial analysis of compaction-monitoring technology measurements.” Transp. Res. Rec. 2004 (1): 69–79. https://doi.org/10.3141/2004-08.
Thompson, M. J., and D. J. White. 2008. “Estimating compaction of cohesive soils from machine drive power.” J. Geotech. Geoenviron. Eng. 134 (12): 1771–1777. https://doi.org/10.1061/(ASCE)1090-0241(2008)134:12(1771).
Thurner, H., and Å. Sandström. 1980. “A new device for instant compaction control.” In Vol. 2 of Proc., Int. Conf. on Compaction, 611–614. Paris: Laboratoire Central des Ponts et Chausees.
White, D. J., and M. J. Thompson. 2008. “Relationships between in situ and roller-integrated compaction measurements for granular soils.” J. Geotech. Geoenviron. Eng. 134 (12): 1763–1770. https://doi.org/10.1061/(ASCE)1090-0241(2008)134:12(1763).
White, D. J., P. Vennapusa, H. Gieselman, J. K. Zhang, R. Goldsmith, L. Johanson, and S. Quist. 2008. Accelerated implementation of intelligent compaction technology for embankment subgrade soils, aggregate base, and asphalt pavement materials. Washington, DC: Federal Highway Administration.
White, D. J., P. Vennapusa, and M. J. Thompson. 2007. Field validation of intelligent compaction monitoring technology for unbound materials. St. Paul, MN: Minnesota Dept. of Transportation.
White, D. J., P. Vennapusa, J. K. Zhang, H. Gieselman, and M. D. Morris. 2009. Implementation of intelligent compaction performance based specifications in Minnesota. St. Paul, MN: Minnesota Dept. of Transportation.
Xu, Q., K. George, and L. Victor. 2011. “Data analyses for hot-mix asphalt intelligent compaction.” In Proc., Transportation Research Board 90th Annual Meeting, No. 11-1262. Washington, DC: Transportation Research Board.
Information & Authors
Information
Published In
Journal of Materials in Civil Engineering
Volume 30 • Issue 12 • December 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Feb 19, 2018
Accepted: Jun 4, 2018
Published online: Sep 25, 2018
Published in print: Dec 1, 2018
Discussion open until: Feb 25, 2019
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.