Assessing Compaction Quality Using Light Weight Deflectometer: Laboratory versus Field Conditions

This study was conducted to investigate the behavior of highway subgrade and subbase materials (2A, 2RC, and A-6) under varying compaction and moisture conditions using the light weight deflectometer (LWD). LWD tests were conducted across three testing scales: small-scale laboratory testing using Proctor molds, large-scale testing in a test pit, and full-scale field testing. Results demonstrate that LWD test response, for deflection and modulus, is highly sensitive to moisture content, increasing to an optimum point and then declining. Deflection measurements increased from laboratory to pit to field conditions, reflecting the influence of support stiffness and boundary conditions. Two correction factors ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>k</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>1</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> ≈ 1.65 for laboratory-to-pit and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>k</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> ≈ 2.7 for laboratory-to-field) were developed and proposed to convert the laboratory LWD test results to the LWD deflection response in field applications. The study highlights the importance of scale effects, moisture variability, and soil behavior under impact loading, providing practical insights for using LWD as a compaction quality control tool in pavement construction. Because of the limited number of data points in this study, these preliminary correction factors <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>k</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>1</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>k</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> are proposed as exploratory values to bridge the gap between laboratory and field LWD measurements. These findings support improved interpretation of LWD data and its implementation in performance-based quality assurance practices.

Authors

Institutions

Publication Details

Journal
Transportation Research Record Journal of the Transportation Research Board
Published
2026-04-30
DOI
https://doi.org/10.1177/03611981261431735
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing Compaction Quality Using Light Weight Deflectometer: Laboratory versus Field Conditions

Mansour Solaimanian, Darya Shahidi Masouleh, Xiaogang Guo, Dennis Neff
Transportation Research Record Journal of the Transportation Research Board
Asphalt Pavement Performance Evaluation
article

Assessing Compaction Quality Using Light Weight Deflectometer: Laboratory versus Field Conditions

Mansour Solaimanian, Darya Shahidi Masouleh, Xiaogang Guo, Dennis Neff
article en

Abstract

This study was conducted to investigate the behavior of highway subgrade and subbase materials (2A, 2RC, and A-6) under varying compaction and moisture conditions using the light weight deflectometer (LWD). LWD tests were conducted across three testing scales: small-scale laboratory testing using Proctor molds, large-scale testing in a test pit, and full-scale field testing. Results demonstrate that LWD test response, for deflection and modulus, is highly sensitive to moisture content, increasing to an optimum point and then declining. Deflection measurements increased from laboratory to pit to field conditions, reflecting the influence of support stiffness and boundary conditions. Two correction factors ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>k</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>1</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> ≈ 1.65 for laboratory-to-pit and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>k</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> ≈ 2.7 for laboratory-to-field) were developed and proposed to convert the laboratory LWD test results to the LWD deflection response in field applications. The study highlights the importance of scale effects, moisture variability, and soil behavior under impact loading, providing practical insights for using LWD as a compaction quality control tool in pavement construction. Because of the limited number of data points in this study, these preliminary correction factors <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>k</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>1</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>k</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> are proposed as exploratory values to bridge the gap between laboratory and field LWD measurements. These findings support improved interpretation of LWD data and its implementation in performance-based quality assurance practices.

Transportation Research Record Journal of the Transportation Research Board
Pennsylvania State University (US), Pennsylvania Department of Transportation (US), MDS Associates (United States) (US)
Sustainable cities and communities
Openalex Percentile: Top 12%
Asphalt Pavement Performance Evaluation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.