Quality Improvement of Subgrade Through Intelligent Compaction

Author:

Barman Manik1,Nazari Moeen2,Imran Syed Asif3,Commuri Sesh4,Zaman Musharraf5

Affiliation:

1. Department of Civil Engineering, Swenson College of Science and Engineering, University of Minnesota, Duluth, 254 Swenson Civil Engineering, Duluth, MN 55812

2. School of Civil Engineering and Environmental Science, Room 334, 202 West Boyd Street, University of Oklahoma, Norman, OK 73019

3. School of Electrical and Computer Engineering, Room 410, 110 West Boyd Street, University of Oklahoma, Norman, OK 73019

4. Nevada Advanced Autonomous Systems Innovation Center, University of Nevada, Reno, 450 Sinclair Street, Suite 300, Reno, NV 89502

5. College of Engineering, Room 213C, 202 West Boyd Street, University of Oklahoma, Norman, OK 73019

Abstract

Proper quality control and quality improvement strategies during compaction can improve the quality of the subgrade and minimize premature failures of asphalt pavements. This paper discusses the use of the Intelligent Compaction Analyzer (ICA), which was developed at the University of Oklahoma, in quality control and quality improvement during compaction of stabilized subgrade. Six case studies were conducted to demonstrate the ability of the ICA in monitoring subgrade density and subgrade modulus (known as ICA modulus) in real time. The ICA modulus correlated reasonably with the subgrade modulus backcalculated from the falling weight deflectometer data ( R2 = .63), fairly with the dynamic cone penetrometer test results ( R2 = .50), and excellently with the in situ subgrade resilient modulus ( R2 = .72 to .97). The subgrade modulus in undercompacted areas could be increased by more than 50% by applying additional roller passes.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

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