01044108

Component

https://doi.org/10.3141/2004-08

http://scholar.google.com...hite&publication_year=2007

To implement compaction-monitoring technologies (i.e., continuous compaction control and intelligent compaction), robust and versatile specifications are needed. These specifications require field calibration of the various machine sensor outputs to in situ soil compaction measurements. The goal of this study was to provide insights into (a) the nature of compaction-monitoring measurements, (b) how the measurements are related to soil properties determined from in situ compaction control tests, and (c) how compaction-monitoring technology may be addressed in specifications for using the technology in practice. To accomplish this goal, testing was conducted on one-dimensional test strips with several nominal moisture contents for developing statistical regression models that relate machine drive power and compaction meter value data to engineering and index properties of soil. In addition, a two-dimensional test area with variable lift thickness and moisture content was constructed and tested by using both compaction-monitoring technology and in situ devices (e.g., nuclear moisture-density gauge, portable falling weight deflectometer). The spatial distribution of the data was investigated. The significance of this research is that it represents the first documented field calibration of both one-dimensional and two-dimensional tests areas on similar soils and introduces a new approach to generating pass–fail criteria based on compaction-monitoring technology.

01082340

English

pp 69-79

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104302

Print

Figures (8) ; Photos (6) ; References (18)

Calibration; Falling weight deflectometers; Field tests; Measurement; Moisture content; Monitoring; Nuclear density gages; Soil compaction; Spatial analysis; Technology

Intelligent compaction

Geotechnology; Highways; I42: Soil Mechanics

PRP, TRIS, TRB

Feb 8 2007 6:38PM

• A Neural Network Model for Prediction of Pile Setup
• Alternative Water Sources in Earthwork Construction
• Development of New Pile-Driving Formula and Its Calibration for Load and Resistance Factor Design
• Effect of Reinforcement on Resilient and Permanent Deformations of Base Course Material
• Evaluating Deformation Modulus of Cohesive Soils from Piezocone Penetration Test for Consolidation Settlement
• Finite Element Modeling of Field Performance of Permeable Bases Under Asphalt Pavement
• Guidelines for Using Geosynthetics with Hot-Mix Asphalt Overlays to Reduce Reflective Cracking
• Instrumenting Pencel Pressuremeter Control Unit to Simplify Data Collection, Reduction, and Analysis
• Laboratory Investigation of Behavior of Foundations on Geosynthetic-Reinforced Clayey Soil
• Measured Soil Setup of Steel HP Piles from Windsor Bypass Project in North Carolina
• Numerical Parametric Study of Strip Footing on Reinforced Embankment Soils
• Review of Lightweight Deflectometer for Routine In Situ Assessment of Pavement Material Stiffness
• Role of Stabilized and Drainable Bases in Early-Age Cracking on Concrete Airfield Pavements
• Subsurface Drainage and Premature Distresses in Concrete Pavement: A Case Study in Virginia
• Using Geogrids to Minimize Reflective Longitudinal Cracking on Pavements over Shrinking Subgrades
• Wireless Shape–Acceleration Array System for Local Identification of Soil and Soil Structure Systems