Deflection-Based Analysis Techniques for Jointed Concrete Pavement Systems

Crovetti, James A

doi:10.3141/1809-01

Cited by 12 publications

(8 citation statements)

References 2 publications

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“…These compared results using volume replacement (Sebesta et al 2006;Rathje et al 2006) and electrical methods (Brown 2007) result in using the NDG. Many other investigations were performed to develop modulus-based devices for QC applications (Crovetti 2002;Mooney et al 2008;Rathje et al 2006;Tehrani and Meehan 2010). Often, these investigations are funded by an individual state DOT, with data collection focused on the native soils of the sponsoring state.…”

Section: Problemmentioning

confidence: 99%

Non-Nuclear Alternatives to Monitoring Moisture-Density Response in Soils

Berney¹,

Mejías-Santiago²,

Kyzar³

2013

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During the period May-August 2010, researchers of the U.S. Army Engineer Research and Development Center in Vicksburg, MS, tested the effectiveness of various devices to determine the dry density, or modulus, of soils for horizontal construction. These tests were conducted to determine a usable alternative to the soil nuclear density gauge. The accuracy and precision of the different testing devices were compared to the density values obtained from the soil nuclear density gauge. The devices and techniques that were tested are grouped into four broad families: nuclear, electrical, volume replacement, and modulus-based. The nuclear device was the nuclear density gauge that was included for comparison purposes. Electrical devices that were tested were the electrical density gauge, the moisture + density indicator, and the soil density gauge. Volume replacement densitydetermining techniques; were the sand cone, the steel shot, and the water balloon tests. Modulus-based devices were two different lightweight deflectometers, a dynamic cone penetrometer, the Clegg Hammer, and the GeoGauge. This investigation consisted of full-scale construction of seven soils representing a range of materials encountered in operational construction activities. Soils ranged from fine-grained silts and clays to coarsegrained gravels and crushed limestone. The test results indicated that the soil density gauge corrected with a sand cone density measurement, demonstrated the optimal combination of precision and accuracy compared to the nuclear density gauge. Results of the tests are presented and include (a) comparisons of the dry densities of the various devices to the reported dry densities of the nuclear gauge, (b) ranking of the density devices according to agreement with the nuclear density gauge, and (c) field results of modulus-based devices. Results will be used to provide further guidance for selection of appropriate devices for field determination of soil density. DISCLAIMER: The contents of this report are not to be used for advertising, publication, or promotional purposes. Citation of trade names does not constitute an official endorsement or approval of the use of such commercial products. All product names and trademarks cited are the property of their respective owners. The findings of this report are not to be construed as an official Department of the Army position unless so designated by other authorized documents.

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Section: Problemmentioning

confidence: 99%

Non-Nuclear Alternatives to Monitoring Moisture-Density Response in Soils

Berney¹,

Mejías-Santiago²,

Kyzar³

2013

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“…Void potential or loss of subgrade support, hereafter called void potential, was determined by plotting the deflections of the first sensor versus load and determining the Y-intercept (7,(14)(15)(16). According to the AASHTO 1993 pavement design guide, a Y-intercept value greater than 0.002 in.…”

Section: Fwd Measurementsmentioning

confidence: 99%

Mitigating Transverse Joint Faulting in Jointed Concrete Pavement with Polyurethane Foam

Gaspard¹,

Zhang²

2010

Transportation Research Record: Journal of the Transportation R

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A case study was conducted to assess the effectiveness of reducing transverse faulting on jointed concrete pavement with polyurethane foam (PF) on a principal arterial roadway with an average daily traffic of 15,800 with 20% trucks. The PF fault correction process entailed reducing faults to approximately 0.25 in. by saw-cutting the full depth through the joints and lifting the slabs with PF. A sampling plan was established: the entire project was measured for faulting and roughness by a high-speed profiler before and after the PF fault correction process. Three test sections with 10 slabs each were assessed with a falling weight deflectometer, ARRB walking profiler, and manual fault measurements. Seventeen cores were taken at various locations to obtain in-place PF samples. Statistical hypothesis testing was conducted to compare the before-and-after treatment effect of the PF process. Approximately 18% improvement in ride quality and 79% improvement in fault reduction were realized by the PF fault correction process. Unfortunately, the PF process severely affected load transfer efficiency, with a 43% increase in joints having poor load transfer and a 27% increase in joints needing load transfer improvement. It is reasonable to assume that these problems were caused primarily by saw-cutting through the joints and not by PF itself. Void potentials were increased slightly (8%) by the process.

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“…The developed ANN-based backcalculation models have been used to backcalculate the TELTD and EBITD by using actual field data collected by the Wisconsin Department of Transportation (WisDOT). The FWD data and ∆T TG values used in the analysis were shown in Table 6.4 and Figure 6.12 (Crovetti 2002). Maximum deflections normalized to 9,000-lbs load were also shown in Figure 6.13.…”

Section: Application Of the Developed Approach To The Actual Fwd Datamentioning

confidence: 99%

“…WisDOT were used to compare the magnitude of the backcalculated TELTD and measured ∆T TG (see Figure 6.14) and then, EBITD values were calculated (see dense-graded aggregate subbase layer, and select fill of variable depth (Crovetti 2002). The EBITD values obtained from two curling regimes (day-time and night-time) were compared with each other.…”

Section: Application Of the Developed Approach To The Actual Fwd Datamentioning

confidence: 99%

“…is not an available method today that can measure these five curling and warping parameters separately. Since there were not such data available, the ANN-based model predictions were compared with the Crovetti's (2002) data (FWD tests and transient temperature gradient measurements available) and typical ranges for TELTD parameter.…”

Section: Chapter 1 General Introduction Introductionmentioning

confidence: 99%

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Analysis of jointed plain concrete pavement systems with nondestructive test results using artificial neural networks

Bayrak¹

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Deflection-Based Analysis Techniques for Jointed Concrete Pavement Systems

Cited by 12 publications

References 2 publications

Non-Nuclear Alternatives to Monitoring Moisture-Density Response in Soils

Non-Nuclear Alternatives to Monitoring Moisture-Density Response in Soils

Mitigating Transverse Joint Faulting in Jointed Concrete Pavement with Polyurethane Foam

Analysis of jointed plain concrete pavement systems with nondestructive test results using artificial neural networks

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