Measuring Resilient Modulus of Granular Materials in Flexible Pavements

Ping, W. Virgil; Yang, Zenghai; Liu, Chunshui; Dietrich, Bruce

doi:10.3141/1778-10

Cited by 24 publications

(2 citation statements)

References 9 publications

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“…The LBR test is similar to the more widely used California Bearing Ratio (CBR) (ASTM D1883, 2007), in that both use the same diameter penetration piston, sample mould, and penetration rate; however, the standard reference strengths are different (FDOT, 2015; Laurion and McGillivray, 2001). The LBR value has been determined to be 1.25 times the CBR value (Keyser et al, 1984; Laurion and McGillivray, 2001; Virgil Ping et al, 2001).…”

Section: Methodsmentioning

confidence: 99%

Blending organic material with municipal solid waste incinerator bottom ash to promote in-situ carbonation in road base

et al. 2019

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The use of municipal solid waste incinerator bottom ash for road-base construction is an accepted practice in Europe and Asia, and of growing interest in the US. It is common practice to cure bottom ash by stockpiling it for several weeks before using it in this application. The curing process exposes the bottom ash to atmospheric carbon dioxide, which promotes carbonation, lowering its pH (making it less alkaline), and making many heavy metals less soluble. While this process makes bottom ash a more environmentally acceptable material, it takes time and requires additional handling. This article investigates a concept to facilitate carbonation of bottom ash in its compacted state, potentially eliminating the stockpile curing process. It is demonstrated here that blending a small amount of organic material with bottom ash will accelerate carbonation and lower pH in compacted samples by providing a carbon source for bacteria to produce carbon dioxide. Different quantities of biosolids (1%, 2%, 3%, and 5% by mass) were added to compacted bottom ash samples to examine the effect of organic materials on carbonation, and results were compared with a compacted control bottom ash sample. The pH of the control bottom ash sample decreased from 12.07 to 9.78 after 63 days, while the pH of the sample containing 5% biosolids decreased from 11.70 to 9.74 in only 7 days and to 8.18 after 63 days. Physical testing was conducted to examine suitability for beneficial use. The results indicate that bottom ash containing less than 3% biosolids met minimum bearing strength requirements for road base.

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Section: Methodsmentioning

confidence: 99%

Blending organic material with municipal solid waste incinerator bottom ash to promote in-situ carbonation in road base

et al. 2019

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“…The load distribution at the top of the subgrade was then treated as a circular plate for stress calculations. As an example of identifying the stress state of the predictive model, the stresses at 8 inches below the subgrade were calculated based on findings from Ji et al ( 18 ) and Ping et al ( 24 ). It worth noting that the stresses were calculated for 30 LTPP pavement cross-sections.…”

Section: Development Of Mr Prediction Model For Subgrade Soilsmentioning

confidence: 99%

Use of Long Term Pavement Performance-Seasonal Monitoring Program Data to Develop and Validate a Generalized Regression Model to Predict the In-Situ Resilient Modulus of Subgrade Soils for Pavement Design and Evaluation

Elshaer

DeCarlo

Lein

et al. 2020

Transportation Research Record: Journal of the Transportation R

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Resilient modulus (Mr) is a critical input for pavement design as it is the main property used to evaluate the contribution of subgrade to the overall pavement structure. Considering this, practitioners need simple and accurate ways to determine the Mr of in-situ subgrade without the need for expensive and time-consuming testing. The objective of this study is to develop a generalized regression prediction model for in-situ Mr of subgrades, compare it with established prediction models, and assess the model’s predictions on pavement performance using the Mechanistic-Empirical Pavement Design Guide (Pavement ME). The prediction model was built using field data from 30 pavement sections studied in the Long Term Pavement Performance (LTPP) Seasonal Monitoring Program where backcalculated modulus from falling weight deflectometer testing, in-situ moisture contents, and subgrade material properties were considered in the model. Based on the results, it was found that liquid limit, plasticity index, WPI (the product of percent passing #200 and plasticity index), percent coarse sand, percent fine sand, percent silt, percent clay, moisture content, and their respective interactions were significant predictors of in-situ Mr values. The findings showed that the generalized regression approach was able to predict Mr more accurately than predictions from the Witczak model. To assess the application of the predictive model on pavement performance, three LTPP sections located in New York, South Dakota, and Texas were analyzed to predict the rutting performance based on Mr values obtained from the developed generalized prediction model and those obtained from the current Pavement ME model and then compared with rut depths measured in the field. The findings showed that, for coarse-grained subgrades that have a low degree of plasticity, the generalized regression model predicted rutting performance similar to the embedded Pavement ME model. For fine-grained subgrades, the developed model tends to predict lower rut depths which were closer to the field measured rut depths. Overall, the generalized regression approach was successfully applied to create a simple, practical, cost-effective and accurate Mr prediction model that can be used to estimate the stiffness of subgrades when designing and evaluating pavements.

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Durability Assessment of Pavement Foundation Materials Treated with a Polymeric-Based Additive

Georgees

Hassan

Evans

2018

Enhancements in Applied Geomechanics, Mining, and Excavation Simulation and Analysis

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Measuring Resilient Modulus of Granular Materials in Flexible Pavements

Cited by 24 publications

References 9 publications

Blending organic material with municipal solid waste incinerator bottom ash to promote in-situ carbonation in road base

Blending organic material with municipal solid waste incinerator bottom ash to promote in-situ carbonation in road base

Use of Long Term Pavement Performance-Seasonal Monitoring Program Data to Develop and Validate a Generalized Regression Model to Predict the In-Situ Resilient Modulus of Subgrade Soils for Pavement Design and Evaluation

Durability Assessment of Pavement Foundation Materials Treated with a Polymeric-Based Additive

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