1,031
Views
41
CrossRef citations to date
0
Altmetric
Original Articles

Geogrid mechanism in low-volume flexible pavements: accelerated testing of full-scale heavily instrumented pavement sections

, , &
Pages 121-135 | Received 22 Dec 2009, Accepted 02 Sep 2010, Published online: 03 Mar 2011
 

Abstract

This study uses full-scale accelerated testing to provide new insight into the effectiveness of geogrids on the performance of low-volume flexible pavements. Although several previous studies reported that geogrids improve pavement performance by enhancing its structural capacity and reducing distress potential, this study goes further to quantify the effectiveness of geogrids, specify the mechanism of the reinforcement they provide and identify the optimum placement of geogrid in low-volume flexible pavements. Full-scale, low-volume flexible pavement sections were constructed on weak subgrade (California bearing ratio = 4%) and heavily instrumented with 170 sensors. The pavement was divided into three cells with each cell having three sections. The granular base and hot-mix asphalt layer thicknesses varied, and each cell had at least one control and one geogrid-reinforced pavement section. The instruments were embedded to measure stress, strain, deflection, moisture, pore-water pressure and temperature and were used to monitor pavement response to a moving load using the Accelerated Transportation Loading ASsembly (ATLAS). The testing programme was divided into two parts: response testing and performance testing. The response testing considered tyre configuration, loading, inflation pressure, speed and travelling offset. The performance testing considered number of passes to failure. This paper presents the various pavement responses to different loading configurations and pavement performances when a repetitive moving dual-tyre assembly at 8 km/h and 44 kN was applied. Based on the performance testing and visual observation of the pavement cross sections after excavation, the reinforced sections showed reduced rutting and delayed surface cracking compared to the control sections. Specifically, the pavements' measured response showed that geogrid-reinforced pavement sections exhibited less vertical pressure and less vertical deflection in the subgrade when tested at a low speed. Therefore, the study's most notable conclusion is that geogrid reinforcement reduces the horizontal movement of the granular material, especially in the longitudinal direction. The study also concludes the following about geogrid placement: (1) for a relatively thick granular base layer, placing the geogrid in the upper one-third of the base reduces the shear strains in the longitudinal and transverse directions. (2) For weaker pavements, the geogrid reinforcement at the base–subgrade interface reduces the vertical deflection. In the second case, the effectiveness of geogrid shall be compared to the increase in pavement structure or using other geosynthetic materials such as geotextiles.

Acknowledgements

The assistance of J. Baek, P.-J. Yoo, E. Fini, J. Meister, M. Elseifi, B. Harkanwal, J. Anochie-Boateng, C. Montgomery, K. Jiang and Z. Leng during pavement construction and instrumentation is greatly appreciated. The content of this paper reflects the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. This paper does not constitute a standard, specification or regulation. The financial support provided by Tensar International Co. is greatly appreciated.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 225.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.