An examination of compaction meter value for asphalt pavement compaction evaluation

References

• Adam, D. and Kopf, F., 2004. Operational devices for compaction optimization and quality control (continuous compaction control & light falling weight device). In: Proceedings of the international seminar on geotechnics in pavement and railway design and construction. Athens, 97–106.
   Google Scholar
• Anderegg, R. and Kaufmann, K., 2004. Intelligent compaction with vibratory rollers: feedback control systems in automatic compaction and compaction control. Transportation Research Record: Journal of the Transportation Research Board, 1868, 124–134.10.3141/1868-13
   Google Scholar
• Andrei, D., Witczak, M., and Mirza, M., 1999. Development of a revised predictive model for the dynamic (complex) modulus of asphalt mixtures. Development of the 2002 Guide for the Design of New and Rehabilitated Pavement Structures, NCHRP.
   Google Scholar
• Beainy, F., Commuri, S., and Zaman, M., 2011. Quality assurance of hot mix asphalt pavements using the intelligent asphalt compaction analyzer. Journal of Construction Engineering and Management, 138 (2), 178–187.
   Web of Science ®Google Scholar
• Brandl, H. and Adam, D., 1997. Sophisticated continuous compaction control of soils and granular materialsed. In: Proceedings of the international conference on soil mechanics and foundation engineering-international society for soil mechanics and foundation engineering. AA Balkema, 31–36.
   Google Scholar
• Commuri, S., Mai, A.T., and Zaman, M., 2011. Neural network–based intelligent compaction analyzer for estimating compaction quality of hot asphalt mixes. Journal of Construction Engineering and Management, 137 (9), 634–644.10.1061/(ASCE)CO.1943-7862.0000343
   Web of Science ®Google Scholar
• Farrar, M., et al., 2006. Evaluation of oxidation in asphalt pavements test sections after four year of serviceed. In: International conference on perpetual pavement. Western Research Institute.
   Google Scholar
• Handbook, H.-M.A.P., 2000–2001. Association of state highway and transportation officials (AASHTO).
   Google Scholar
• Kröber, W., Floss, R., and Wallrath, W., 2001. Dynamic soil stiffness as quality criterion for soil compaction. Geotechnics for roads, rail tracks, and earth structures, 188–199.
   Google Scholar
• Mooney, M.A., 2010. Intelligent soil compaction systems. Washington, DC: National Cooperative Highway Research Program, NCHRP 21-09 final report.
   Google Scholar
• Nieves, A., 2013. Intelligent compaction. Summary of intelligent compaction for HMA/WMA Paving. No. FHWA-HIF-13-053.
   Google Scholar
• Sandström, Å., 1994. Numerical simulation of a vibratory roller on cohesionless soil. Stockholm, Geodynamik report, 22.
   Google Scholar
• Sandström, A. and Pettersson, C., 2004. Intelligent systems for qa/qc in soil compactioned. In: Proceedings of the 83rd annual transportation research board meeting. 11–14.
   Google Scholar
• Thurner, H., 2001. Quality assurance and self control in road construction advanced measurement technologyed. In: Proceedings of the 4th international symposium “infrastructure construction systems and technologies”. Munich, Bauma, 73–81.
   Google Scholar
• Thurner, H. and Sandstrom, A., 2000. Continuous compaction control, ccced. In: European workshop compaction of soils and granular materials, Presses Ponts et Chaussées. Paris, 237–246.
   Google Scholar
• Vennapusa, P.K., White, D.J., and Morris, M.D., 2009. Geostatistical analysis for spatially referenced roller-integrated compaction measurements. Journal of Geotechnical and Geoenvironmental Engineering, 136 (6), 813–822.
   Web of Science ®Google Scholar
• White, D.J. and Thompson, M.J., 2008. Relationships between in situ and roller-integrated compaction measurements for granular soils. Journal of Geotechnical and Geoenvironmental Engineering, 134 (12), 1763–1770.10.1061/(ASCE)1090-0241(2008)134:12(1763)
   Web of Science ®Google Scholar
• White, D.J., Vennapusa, P., and Thompson, M.J., 2007. Field validation of intelligent compaction monitoring technology for unbound materials. St. Paul, MN: Minnesota Department of Transportation, Report No. MN/RC 2007-10.
   Google Scholar
• White, D.J., et al., 2008. Accelerated implementation of intelligent compaction technology for embankment subgrade soils, aggregate base, and asphalt pavement materials. Washington, DC: Federal Highway Administration/Transportation Pooled Fund (TPF) No. 954.
   Google Scholar
• Wiser, L., 2010. Ltpp computed parameter: dynamic modulus. No. FHWA-HRT-11-018.
   Google Scholar
• Xu, Q., Chang, G.K., and Gallivan, V.L., 2012. Development of a systematic method for intelligent compaction data analysis and management. Construction and Building Materials, 37, 470–480.10.1016/j.conbuildmat.2012.08.001
   Web of Science ®Google Scholar