Model for prediction of resilient modulus incorporating matric suction for recycled unbound granular materials

Azam, Abdelhalim; Cameron, D. A.; Rahman, M.F.

doi:10.1139/cgj-2012-0406

Cited by 63 publications

(24 citation statements)

References 25 publications

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“…Lekarp et al [6] and Azam et al [7] reported that the aggregate gradation, fine content, applied stress level, moisture content, matric suction, and density had significant effect on Mr. In the following subsections, the influence of these factors is briefed.…”

Section: Literature Reviewmentioning

confidence: 96%

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Resilient modulus for unbound granular materials and subgrade soils in Egypt

et al. 2017

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Abstract. Mechanistic Empirical (ME) pavement design methods started to gain attention especially the last couple of years in Egypt and the Middle East. One of the challenges facing the spread of these methods in Egypt is lack of advanced properties of local soil and asphalt, which are needed as input data in ME design. Resilient modulus (Mr) for example is an important engineering property that expresses the elastic behavior of soil/unbound granular materials (UGMs) under cyclic traffic loading for ME design. In order to overcome the scarcity of the resilient modulus data for soil/UGMs in Egypt, a comprehensive laboratory testing program was conducted to measure resilient modulus of typical UGMs and subgrade soils typically used in pavement construction in Egypt. The factors that affect the resilient modulus of soil/UGMs were reviewed, studied and discussed. Finally, the prediction accuracy of the most well-known Mr Prediction models for the locally investigated materials was investigated.

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Section: Literature Reviewmentioning

confidence: 96%

“…Several studies have reported that Mr of untreated UGMs is dependent on confining pressure and deviator stresses, which increases considerably with the increase of those stresses [7,10,2,12,13,14]. Kolisoja [15] reported that Poisson's ratio of UGMs increases with increasing deviator stress and decreasing confining pressure.…”

Section: Stress Statementioning

confidence: 99%

Resilient modulus for unbound granular materials and subgrade soils in Egypt

et al. 2017

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“…Subsequent research (Azam et al, 2013c) has led to the development of a predictive model for resilient modulus for other stress conditions. …”

Section: Influence Of Suction On Engineering Behaviour Of Ugmmentioning

confidence: 99%

Matric Suction in Recycled Unbound Granular Materials

Azam¹,

Cameron²,

Gabr³

et al. 2014

Geo-Congress 2014 Technical Papers

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The matric suction within unbound granular materials (UGMs) can be small when compared with cohesive soil, however suction can influence the engineering behavior of UGMs. Unfortunately, there are few studies on the potential matric suction in UGMs. This paper presents matric suctions for seven recycled products and one virgin aggregate. The products were recycled concrete aggregate (RCA) and recycled clay masonry blended with RCA. The percentage of masonry in the blended materials varied between 10% and 30% by mass. Soil water characteristic curves (SWCC) were established for each material by preparing samples at various moisture contents and measuring matric suction with filter papers in contact with the soil. In order to define the wet end of the SWCC, further samples were conditioned on a tension plate using a hanging water column. The recycled products had suctions higher than the virgin aggregate at an equivalent moisture state. Air entry values and residual suctions were determined for each material. Three published models were applied to fit SWCCs to the experimental data. Generally these models provided good fits to the data for each UGM. The influence of matric suction on both resilient modulus and permanent strain of the recycled materials are presented.

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“…Extensive experimental investigations were conducted by several researchers during the past decade using advanced testing techniques to measure the M R -relationships and propose models for predictions (Khoury and Zaman 2004;Yang et al 2005Yang et al , 2008Liang et al 2008;Sawangsuriya et al 2009;Craciun and Lo 2010;Cary and Zapata 2011;Nowamooz et al 2011;Azam et al 2013;Ng et al 2013;Sahin et al 2013;Sivakumar et al 2013;Salour et al 2014). These studies have provided valuable information for better understanding the influence of the on the M R .…”

Section: Introductionmentioning

confidence: 99%

Model for predicting resilient modulus of unsaturated subgrade soil using soil-water characteristic curve

Han

Vanapalli

2015

Can. Geotech. J.

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Soil suction () is one of the key factors that influence the resilient modulus (M R ) of pavement subgrade soils. There are several models available in the literature for predicting the M R -correlations. However, the various model parameters required in the existing models are generally determined by performing regression analysis on extensive experimental data of the M Rrelationships, which are cumbersome, expensive, and time-consuming to obtain. In this paper, a model is proposed to predict the variation of the M R with respect to the for compacted fine-grained subgrade soils. The information of (i) the M R values at optimum moisture content condition (M ROPT ) and saturation condition (M RSAT ), which are typically determined for use in pavement design practice; (ii) the values at optimum moisture content condition ( OPT ); and (iii) the soil-water characteristic curve (SWCC) is required for using this model. The proposed model is validated by providing comparisons between the measured and predicted M R -relationships for 11 different compacted fine-grained subgrade soils that were tested following various protocols (a total of 16 sets of data, including 210 testing results). The proposed model was found to be suitable for predicting the variation of the M R with respect to the for all the subgrade soils using a single-valued model parameter , which was found to be equal to 2.0. The proposed model is promising for use in practice, as it only requires conventional soil properties and alleviates the need for experimental determination of the M R -relationships.Résumé : La succion des sols () est l'un des facteurs clés qui influence le module réversible (M R ) du sol de fondation des chaussées. Il existe plusieurs modèles dans la littérature pour prédire la corrélation entre M R et . Cependant, les différents paramètres nécessaires pour les modèles existants sont généralement évalués par des analyses de régression sur des ensembles substantiels de données expérimentales reliant le M R à ce qui est encombrant, coûteux et fastidieux à obtenir. Dans cet article, un modèle est proposé pour prédire la variation du M R en fonction de la pour des sols de fondation à grain fin compactés. Les informations dérivant de (i) les valeurs de M R à la teneur en eau optimale (M ROPT ) et à l'état de saturation (M RSAT ) qui sont généralement déterminées dans la pratique de la conception des chaussées conventionnelles, (ii) les valeurs de à la teneur en eau à optimale ( OPT ), et (iii) la courbe de rétention d'eau (CRE) sont nécessaires pour utiliser ce modèle. Le modèle proposé est validé à l'aide de comparaisons entre les valeurs mesurées et prévues de la relation M R -pour 11 différents sols de fondation à grains fins compactés qui ont été testés suivant divers protocoles (un total de 16 ensembles de données incluant 210 résultats). Le modèle proposé s'est révélé être approprié pour prédire la variation du M R en fonction de pour tous les sols de fondation au moyen d'un seul paramètre , qui s'est avéré être égal a 2.0. Le modè...

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Model for prediction of resilient modulus incorporating matric suction for recycled unbound granular materials

Cited by 63 publications

References 25 publications

Resilient modulus for unbound granular materials and subgrade soils in Egypt

Resilient modulus for unbound granular materials and subgrade soils in Egypt

Matric Suction in Recycled Unbound Granular Materials

Model for predicting resilient modulus of unsaturated subgrade soil using soil-water characteristic curve

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