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Alavipour, S M R and Arditi, D (2018) Optimizing Financing Cost in Construction Projects with Fixed Project Duration. Journal of Construction Engineering and Management, 144(04).

Chong, D, Wang, Y, Zhao, K, Wang, D and Oeser, M (2018) Asphalt Fume Exposures by Pavement Construction Workers: Current Status and Project Cases. Journal of Construction Engineering and Management, 144(04).

Durdyev, S, Ismail, S and Kandymov, N (2018) Structural Equation Model of the Factors Affecting Construction Labor Productivity. Journal of Construction Engineering and Management, 144(04).

Hammad, M W, Abbasi, A and Ryan, M J (2018) Developing a Novel Framework to Manage Schedule Contingency Using Theory of Constraints and Earned Schedule Method. Journal of Construction Engineering and Management, 144(04).

Kalhor, E and Valentin, V (2018) Cost Estimation Framework for Optimal Retrofit Planning to Mitigate Residential Building Vulnerability to Wildfires. Journal of Construction Engineering and Management, 144(04).

Li, S, Fan, M and Wu, X (2018) Effect of Social Capital between Construction Supervisors and Workers on Workers’ Safety Behavior. Journal of Construction Engineering and Management, 144(04).

Namian, M, Albert, A and Feng, J (2018) Effect of Distraction on Hazard Recognition and Safety Risk Perception. Journal of Construction Engineering and Management, 144(04).

Nnaji, C, Lee, H W, Karakhan, A and Gambatese, J (2018) Developing a Decision-Making Framework to Select Safety Technologies for Highway Construction. Journal of Construction Engineering and Management, 144(04).

Sankaran, B and O’Brien, W J (2018) Bayesian Second-Order Factor Model for Maturity Assessment of CIM Technologies and Practices at Highway Agencies. Journal of Construction Engineering and Management, 144(04).

Shrestha, A, Chan, T, Aibinu, A A, Chen, C and Martek, I (2018) Risk Allocation Inefficiencies in Chinese PPP Water Projects. Journal of Construction Engineering and Management, 144(04).

Su, Y, Isaac, S and Lucko, G (2018) Integrated Temporal-Spatial Model for Construction Plans with Boolean Logic Operators. Journal of Construction Engineering and Management, 144(04).

Umer, W, Li, H, Szeto, G P Y and Wong, A Y L (2018) Proactive Safety Measures: Quantifying the Upright Standing Stability after Sustained Rebar Tying Postures. Journal of Construction Engineering and Management, 144(04).

Yoon, S, Hastak, M and Lee, J (2018) Suitability of Intelligent Compaction for Asphalt Pavement Quality Control and Quality Assurance. Journal of Construction Engineering and Management, 144(04).

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001401
  • Abstract:
    Intelligent compaction (IC) is an emerging technology that can be applied to improve the compaction of hot mix asphalt (HMA). This study investigated the applicability of IC technology for the quality control (QC) and/or quality assurance (QA) of HMA compaction through a survey, phone interviews, and a review of IC demonstrations conducted in Indiana. The questionnaire survey gathered information about (1) the field usage of IC technology by state DOTs, (2) the benefits of IC technology, and (3) future plans for IC implementation. Only two state DOTs have adopted IC technology for QC, whereas the other 24 respondents have not applied IC technology for either QC or QA. A review of IC demonstrations conducted on US 52 in Indiana was undertaken to explore the possibility of substituting the nonnuclear density value with the ICMV. Multiple regression analysis of the data (predicted variable: nonnuclear density) indicated a R2 value of 0.67 with statistically significant p-values for the independent variables [i.e., pass count, temperature, and intelligent compaction measurement values (ICMV)]. The results of this research indicate that IC technology would improve both the compaction coverage and the uniform compaction for HMA QC applications, although no solid evidence is available to date to support the possibility of substituting core density values with ICMVs for QA.