A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Intelligent Compaction for Improving Roadway Construction
Quality control (QC) and quality assurance (QA) tests for compaction in construction projects are typically based on density measurements. The main issue regarding density-based QC/QA specifications is that they do not relate to mechanistic properties of materials and modulus that are critical to mechanistic-empirical types of pavement designs (MEPDG). Another concern is that the depth of influence of density measurement is restricted to 300 mm that is insufficient to detect deeper weak spots that are critical during subgrade or subbase compaction. In intelligent compaction (IC) technology the stiffness of the materials can now be identified to provide real-time opportunities to address the above issues and uniformity during compaction of the materials. Intelligent compaction rollers are equipped with roller-integrated measurement systems, global position system (GPS) and on-board displays that provide real time and 100%-coverage evaluation of the materials being compacted. Therefore, IC can bridge the gap between roadway design and roadway performance. Improved pavement engineering leads to the improvement of the design and construction of roadways and extends the life of pavements. This paper provides guidelines for future QC/QA specifications based on extensive IC field validations and knowledge gained from the US FHWA/Transportation Pooled Fund (TPF) IC study. The guidelines will cover all roadway materials from the ground up including subgrade, subbase (including granular and stabilized base), and hot mix asphalt materials. The aspects of the guidelines include: (1) qualifying IC equipment, (2) specifying GPS equipment and requirements, (3) validating IC systems and GPS operations onsite, (4) mapping existing support materials, (5) selecting in-situ tests for calibration, (6) specifying data collection procedures for IC and in-situ tests, and (7) analyzing data and producing reports. All the above come with real world experiences from more than a dozen full scale IC projects. By implementing the IC QC/QA guidelines proposed in this paper, the process of designing and constructing our roadways will lead to the improved performance of roadway systems.
Intelligent Compaction for Improving Roadway Construction
Quality control (QC) and quality assurance (QA) tests for compaction in construction projects are typically based on density measurements. The main issue regarding density-based QC/QA specifications is that they do not relate to mechanistic properties of materials and modulus that are critical to mechanistic-empirical types of pavement designs (MEPDG). Another concern is that the depth of influence of density measurement is restricted to 300 mm that is insufficient to detect deeper weak spots that are critical during subgrade or subbase compaction. In intelligent compaction (IC) technology the stiffness of the materials can now be identified to provide real-time opportunities to address the above issues and uniformity during compaction of the materials. Intelligent compaction rollers are equipped with roller-integrated measurement systems, global position system (GPS) and on-board displays that provide real time and 100%-coverage evaluation of the materials being compacted. Therefore, IC can bridge the gap between roadway design and roadway performance. Improved pavement engineering leads to the improvement of the design and construction of roadways and extends the life of pavements. This paper provides guidelines for future QC/QA specifications based on extensive IC field validations and knowledge gained from the US FHWA/Transportation Pooled Fund (TPF) IC study. The guidelines will cover all roadway materials from the ground up including subgrade, subbase (including granular and stabilized base), and hot mix asphalt materials. The aspects of the guidelines include: (1) qualifying IC equipment, (2) specifying GPS equipment and requirements, (3) validating IC systems and GPS operations onsite, (4) mapping existing support materials, (5) selecting in-situ tests for calibration, (6) specifying data collection procedures for IC and in-situ tests, and (7) analyzing data and producing reports. All the above come with real world experiences from more than a dozen full scale IC projects. By implementing the IC QC/QA guidelines proposed in this paper, the process of designing and constructing our roadways will lead to the improved performance of roadway systems.
Intelligent Compaction for Improving Roadway Construction
Gallivan, Victor L. (author) / Chang, George K. (author) / Horan, D. Robert (author)
GeoHunan International Conference 2011 ; 2011 ; Hunan, China
2011-05-16
Conference paper
Electronic Resource
English
Intelligent Compaction for Improving Roadway Construction
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