Characterizing the Modulus Properties of Texas Perpetual Pavements Based on Laboratory Dynamic Modulus Testing

Walubita, Lubinda F.; Scullion, Tom; Leidy, Joe

doi:10.1061/40995(322)84

Cited by 19 publications

(71 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several representative projects in pavement health monitoring, including MnROAD, Virginia Smart Road, and the testing track of the National Center for Asphalt Technologies, were launched to improve the current mechanical response model and to establish the fatigue equation or rutting prediction model. It is worth mentioning that the tensile strain at the bottom of the asphalt layer is always limited as much as possible to mitigate the chances of bottom‐up fatigue cracking in mechanistic–empirical pavement design and analysis . Therefore, studying the inclusion effect and obtaining accurate measurement of the strain sensor within the asphalt pavement are crucial.…”

Section: Introductionmentioning

confidence: 99%

“…It is worth mentioning that the tensile strain at the bottom of the asphalt layer is always limited as much as possible to mitigate the chances of bottom-up fatigue cracking in mechanistic-empirical pavement design and analysis. [8,9] Therefore, studying the inclusion effect and obtaining accurate measurement of the strain sensor within the asphalt pavement are crucial. Similar to the inclusion effect of other strain gauges, such as the Construction Technologies Laboratories (CTL) asphalt strain gauge and KM-100HAS strain gauge, the influence of a recently developed strain sensor, namely, the fiber Bragg grating (FBG) strain sensor, was chosen as the major research object in this paper.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Theoretical evaluation of the measurement accuracy of fiber Bragg grating strain sensors within randomly filled asphalt mixtures based on finite element simulation

Zhang

Gong

et al. 2017

Struct Control Health Monit

View full text Add to dashboard Cite

SummaryStrain sensor is a crucial component in pavement response monitoring, and its measuring accuracy is vital to the evaluation and prediction of pavement performance.However, measurement variability and biases are unavoidable in nature due to the inherent granular characteristics of the asphalt mixture and the inclusion of the embedded strain sensor, respectively. In this study, a certain amount of 4-point bending beams, which were filled with random aggregates and asphalt mortar utilizing the finite element method, were constructed to represent the variability of the conventional dense asphalt mixture AC-13. Fiber Bragg grating sensor models of various lengths, anchor radii, and encapsulating moduli were then inserted into these bending beams to analyze the inclusion effect of the embedded strain sensor.The simulation results illustrated the diverse effects of the different geometries and moduli of embedded sensors on the stress and strain states of the asphalt mixture.From a purely theoretical perspective, a calibration equation was proposed between the theoretical value that represented the equivalent strain of the asphalt mixture and the measured value that was calculated from the sensor model. Multifactor variance analysis and multiple comparison procedure were applied to evaluate the measurement accuracy and to optimize the geometries and moduli of sensors. This research provides a basis for optimizing strain sensors employed in asphalt pavements and offers a novel insight toward the response measurement for granular materials. | INTRODUCTIONStructural health monitoring (SHM) is an interdisciplinary branch of engineering that was broadly expanded over the past two decades. SHM interprets the mechanisms between external loading and structural response, represents the evolutionary deterioration or unexpected collapse of full-scale civil infrastructures, and predicts the damage condition and service life of structures. [1,2] Specifically, our research focuses on the application of SHM technology in pavement engineering.Various instruments, including pressure cells, strain gauges, and temperature and moisture probes, are involved in monitoring pavement responses. These instruments are usually installed at the bottom of each pavement structural layer to measure the responses that are induced by traffic and environment loads. Several representative projects in pavement health

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Theoretical evaluation of the measurement accuracy of fiber Bragg grating strain sensors within randomly filled asphalt mixtures based on finite element simulation

Zhang

Gong

et al. 2017

Struct Control Health Monit

View full text Add to dashboard Cite

show abstract

“…Based on the Superpave specification, the high-temperature rheological properties of the ABs are commonly measured, characterized, and quantified in the terms of the rutting parameter, G*/Sin(δ), using the DSR test device—where the numerator (G*) represents the complex shear modulus of the AB and the denominator is the Sine of the phase angle (δ) [ 16 , 18 ]. However, due to some inadequacies reported about the G*/Sin(δ) parameter, particularly with respect to polymer modified ABs and their poor correlation-ship with HMA field rutting performance [ 19 , 20 ], Shenoy [ 21 ] proposed the G*/(1 − (1/Tan(δ)Sin(δ))) parameter (for δ ≥ 55°) as a supplement to better characterize and quantify the high-temperature non-recoverable response of the ABs.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Theoretically, it is assumed that Tan(δ) captures the rutting resistance potential of ABs better than Sin(δ) due to its characteristic nature to quantitatively approach 1.0 at high temperatures [ 22 ]. Note that for RTFO aged AB residues, 2.2 kPa and 55°, respectively, are often used as the Superpave screening and temperature grading criteria [ 16 , 18 , 19 , 21 , 22 , 23 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Statistical Evaluation of the Material-Source Effects on the DSR Rheological Properties of Plant-Mix Extracted Asphalt-Binders

et al. 2021

Self Cite

View full text Add to dashboard Cite

The work presented in this paper was carried out to statistically evaluate and quantify the material-source effect on the asphalt-binder’s rheological properties using Analysis of Variance (ANOVA) and Tukey’s Honestly Significant Difference (Tukey´s HSD) test. The study focused on the Asphalt-Binders’ high-temperature rheological properties, namely, the G*, δ, G*/Sin(δ) and G*/(1 − (1/Tan(δ)Sin(δ))) parameters, measured using the Dynamic Shear Rheometer (DSR) device. The DSR data analyzed in the study were extracted from the Texas flexible pavements and overlays database, namely, the Texas Data Storage System (DSS), covering two Asphalt-Binders (ABs), performance grade (PG) 64-22 and PG 76-22 plant-mix extracted ABs that were treated as rolling thin film oven (RTFO) residue, and sourced from 14 different suppliers. The study findings substantiate that material-source has an effect on the high-temperature rheological properties of ABs. Additionally, it was also concluded that in as much as performance superiority and costs are crucial issues in deciding the AB source/provider, consistency and quality aspects cannot be disregarded. Therefore, material-source effects should be inclusively evaluated from both performance (rheological properties) and quality (consistence) standpoints as well as cost considerations when choosing a supplier. In general, the study contributes to the state-of-the-art enrichment on aspects of material-source effects on RTFO residue ABs’ high-temperature rheological properties, consistency, variability, and data quality.

show abstract

“…Correspondingly, many studies have been conducted, and related specifications have been established [8,[15][16][17][18][19][20]. In particular, Nazarian et al [21] conducted extensive laboratory, small-scale, and field tests with various unbound road base materials and proposed modulus-based compaction specifications for estimating target modulus and for field quality control; Walubita et al [22] established a comprehensive data storage system for better calibration of the mechanical-empirical design and rehabilitation of flexible pavements.…”

Section: Introductionmentioning

confidence: 99%

Compaction Quality Monitoring of Open-Graded Aggregates by Light Weight Deflectometer and Soil Stiffness Gauge

et al. 2020

View full text Add to dashboard Cite

Open-graded aggregates (OGAs) are free-draining materials often used as the base layer of permeable pavements to allow the infiltration or drainage of stormwater. Despite their widespread use, the compaction quality of OGA base layers has not been specified properly. The currently used density-based compaction quality control (QC) has limitations; obtaining the field density and maximum dry density of OGAs by typical methods is challenging, due to their unique properties. To overcome these limitations, modulus-based compaction QC can be used as an alternative. In this study, five different OGAs were chosen and compacted into a specially built soil chamber to measure their densities. The light weight deflectometer (LWD) and the soil stiffness gauge (SSG) were used to evaluate the modulus of the compacted OGAs. The vibratory hammer compaction test was conducted to obtain the maximum dry density of the aggregates. Through these tests, the relationship between the modulus of the compacted aggregates and the relative density was obtained, and efforts to find a modulus range that ensures proper compaction were made. It was found that the LWD and SSG are valid and reliable devices for monitoring the modulus change of OGAs due to compaction.

show abstract

Characterizing the Modulus Properties of Texas Perpetual Pavements Based on Laboratory Dynamic Modulus Testing

Cited by 19 publications

References 0 publications

Theoretical evaluation of the measurement accuracy of fiber Bragg grating strain sensors within randomly filled asphalt mixtures based on finite element simulation

Theoretical evaluation of the measurement accuracy of fiber Bragg grating strain sensors within randomly filled asphalt mixtures based on finite element simulation

Statistical Evaluation of the Material-Source Effects on the DSR Rheological Properties of Plant-Mix Extracted Asphalt-Binders

Compaction Quality Monitoring of Open-Graded Aggregates by Light Weight Deflectometer and Soil Stiffness Gauge

Contact Info

Product

Resources

About