Skip to main content

2019 | OriginalPaper | Buchkapitel

Use of Intelligent Compaction in Detecting and Remediating Under-Compacted Spots During Compaction of Asphalt Layers

verfasst von : Manik Barman, Syed Asif Imran, Moeen Nazari, Sesh Commuri, Musharraf Zaman

Erschienen in: Solving Pavement and Construction Materials Problems with Innovative and Cutting-edge Technologies

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Under-compaction of asphalt layers results in premature distresses like rutting, localized depressions and pot-holes. Over-compaction may crush the aggregates which can result in unstable asphalt mixes. It is therefore highly important to achieve the required air voids or relative density (6–8% air voids or 92–94% relative density). Real-time monitoring of the relative density can certainly be helpful in achieving the required relative density. The traditional quality control procedure, which involves collecting cores and conducting volumetric analysis on them, does not provide any measure of the air voids or relative density level during the compaction itself, thus under-compacted spots, if any, remain undetected. Intelligent compaction methods are able to continuously monitor the air voids or density of asphalt layers during the compaction process. The University of Oklahoma has developed an intelligent compaction analyzer (ICA). The ICA is based on the hypothesis that the vibratory roller and the underlying pavement form a coupled system whose response during compaction is influenced by the stiffness of the pavement layers. The ICA is capable of generating as-built maps providing information on coverage and quality of compaction of the compacted asphalt layers. This paper discusses the principle of ICA, and its application in measuring the density of asphalt layers. Results from one demonstration are included in this paper. The ICA measured densities were validated by comparing them with densities obtained from cores. It was found that the ICA measured densities and core densities correlated well with an R2 between 0.85 and 0.93. Also, t-test conducted with the ICA-estimated densities and core densities verified that the difference between the above-mentioned two types of densities are insignificant at 95% confidence level. ICA was able to detect several under-compacted spots which were then remediated with additional roller passes. The application of the ICA certainly helped in achieving higher and uniform density throughout the test section.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat AASHTO: Bulk Specific Gravity of Compacted Bituminous Mixtures Using Saturated Surface-Dry Specimens. AASHTO T-166, Washington, DC (2007) AASHTO: Bulk Specific Gravity of Compacted Bituminous Mixtures Using Saturated Surface-Dry Specimens. AASHTO T-166, Washington, DC (2007)
Zurück zum Zitat Arasteh, M.: Innovations in compaction control and testing. In Intelligent Compaction 2007 Construction Conference, Federal Highway Administration, Bishmark, ND (2007) Arasteh, M.: Innovations in compaction control and testing. In Intelligent Compaction 2007 Construction Conference, Federal Highway Administration, Bishmark, ND (2007)
Zurück zum Zitat Briaud, J.L., Seo, J.: Intelligent Compaction: Overview and Research Needs. Texas A&M University, College Station, TX (2003) Briaud, J.L., Seo, J.: Intelligent Compaction: Overview and Research Needs. Texas A&M University, College Station, TX (2003)
Zurück zum Zitat Chang, G., Xu, Q., Rutledge, J., Horan, R., Michael, L., White, D., Vennapusa, P.: Accelerated Implementation of Intelligent Compaction Technology for Embankment Subgrade Soils, Aggregate Base, and Asphalt Pavement Materials. FHWA-IF-12-002. Federal Highway Administration, Washington DC (2011) Chang, G., Xu, Q., Rutledge, J., Horan, R., Michael, L., White, D., Vennapusa, P.: Accelerated Implementation of Intelligent Compaction Technology for Embankment Subgrade Soils, Aggregate Base, and Asphalt Pavement Materials. FHWA-IF-12-002. Federal Highway Administration, Washington DC (2011)
Zurück zum Zitat Chang, G., Xu, Q., Rutledge, J., Garber, S.: A Study on Intelligent Compaction and In-Place Density. FHWA-HIF-14-017, Federal Highway Administration, Washington, DC (2014) Chang, G., Xu, Q., Rutledge, J., Garber, S.: A Study on Intelligent Compaction and In-Place Density. FHWA-HIF-14-017, Federal Highway Administration, Washington, DC (2014)
Zurück zum Zitat Commuri, S.: Intelligent Compaction User Manual, Version 2. University of Oklahoma, OK (2010) Commuri, S.: Intelligent Compaction User Manual, Version 2. University of Oklahoma, OK (2010)
Zurück zum Zitat Commuri, S., Zaman, M.: A novel neural network-based asphalt compaction analyzer. Int. J. Pavement Eng. 9(3), 177–188 (2008)CrossRef Commuri, S., Zaman, M.: A novel neural network-based asphalt compaction analyzer. Int. J. Pavement Eng. 9(3), 177–188 (2008)CrossRef
Zurück zum Zitat Commuri, S., Mai, A., Zaman, M.: Calibration Procedures for the Intelligent Asphalt Compaction Analyzer. ASTM. J. Test. Eval. 37(5), 454–462 (2009) Commuri, S., Mai, A., Zaman, M.: Calibration Procedures for the Intelligent Asphalt Compaction Analyzer. ASTM. J. Test. Eval. 37(5), 454–462 (2009)
Zurück zum Zitat Commuri, S., Mai, A.T., Zaman, M.: Neural network-based intelligent compaction analyzer for estimating compaction quality of hot asphalt mixes. J. Constr. Eng. Manag. 137(9), 634–644 (2012)CrossRef Commuri, S., Mai, A.T., Zaman, M.: Neural network-based intelligent compaction analyzer for estimating compaction quality of hot asphalt mixes. J. Constr. Eng. Manag. 137(9), 634–644 (2012)CrossRef
Zurück zum Zitat Imran, S.A., Commuri, S., Barman, M., Zaman, M., Beainy, F.: Modeling the dynamics of asphalt–roller interaction during compaction. J. Constr. Eng. Manag. (2017). © ASCE, ISSN: 0733-9364 Imran, S.A., Commuri, S., Barman, M., Zaman, M., Beainy, F.: Modeling the dynamics of asphalt–roller interaction during compaction. J. Constr. Eng. Manag. (2017). © ASCE, ISSN: 0733-9364
Zurück zum Zitat Rakowski, S.: Intelligent compaction CCV IC. In: Transportation Pooled Fund Intelligent Compaction Systems Initial-Task Working Group Meeting, Sakai America, Adairsville, GA (2008) Rakowski, S.: Intelligent compaction CCV IC. In: Transportation Pooled Fund Intelligent Compaction Systems Initial-Task Working Group Meeting, Sakai America, Adairsville, GA (2008)
Zurück zum Zitat Singh, D., Beainy, F.N., Mai, A.T., Commuri, S., Zaman, M.: In-situ assessment of stiffness during the construction of HMA pavements. Int. J. Pavement Res. Technol. 4(3), 131–139 (2011) Singh, D., Beainy, F.N., Mai, A.T., Commuri, S., Zaman, M.: In-situ assessment of stiffness during the construction of HMA pavements. Int. J. Pavement Res. Technol. 4(3), 131–139 (2011)
Metadaten
Titel
Use of Intelligent Compaction in Detecting and Remediating Under-Compacted Spots During Compaction of Asphalt Layers
verfasst von
Manik Barman
Syed Asif Imran
Moeen Nazari
Sesh Commuri
Musharraf Zaman
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-319-95792-0_11