Modelling resilient modulus seasonal variation of silty sand subgrade soils with matric suction control

Salour, Farhad; Erlingsson, Sigurður; Zapata, Claudia E.

doi:10.1139/cgj-2013-0484

Cited by 50 publications

(20 citation statements)

References 18 publications

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“…The M RSAT of a decomposed tuff from Hong Kong (soil 11 in Table 1) and four subgrade soils from Minnesota (soils 7-10 in Table 1) are reported to be constant values regardless of the applied stress levels (Sawangsuriya et al 2009;Ng et al 2013). Similar observations on the M RSAT were also reported by Loach (1987) and Salour et al (2014) for several subgrade soils from Europe. The M R values of a clayey soil and a lean clay from Oklahoma (soils 2 and 3 in Table 1) are approximately the same at saturated condition regardless of the different compaction moisture contents and the resulting different soil fabric or structure (Zaman and Khoury 2007).…”

Section: Model Formulationsupporting

confidence: 75%

“…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%

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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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Section: Model Formulationsupporting

confidence: 75%

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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“…The analyses carried out here were based on the total stress concept. For the relatively coarse nature of the materials used for this study, the amount of matric suction developed at the drier states was considered negligible and was not treated as a separate variable (Fredlund and Rahardjo 1993, Theyse 2006, Ekblad 2007, Craciun 2009, Erlingsson et al 2009, Cary and Zapata 2011, Salour et al 2014. Similarly, close to saturation, development of positive pore water pressure was disregarded since the tests were carried out in free drainage conditions on coarse UGMs.…”

Section: Objectives and Methodologymentioning

confidence: 99%

Moisture influence on the resilient deformation behaviour of unbound granular materials

Rahman

Erlingsson

2015

International Journal of Pavement Engineering

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The influence of moisture on the resilient deformation properties of unbound granular materials was investigated based on repeated load triaxial tests. Results showed that the resilient modulus (M R ) decreased with increasing moisture for a relatively low number of load cycles (N) where the deformation behaviour was mostly resilient with a negligible amount of associated accumulated permanent deformation (PD). Modelling attempts on this behaviour were quite satisfactory. Furthermore, the M R showed an increasing trend with increasing moisture, up to the optimum, when the N was relatively large with a significant amount of accumulated PD. Above the optimum, the M R generally decreased. Further investigation suggested that moisture aided the post-compaction (PC) and possible particle rearrangement that resulted in the increased PD and increased M R . The existing model did not work in this case indicating that the effect of PC on M R should be considered in modelling.

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“…The M RSAT that is required in Equation 9 for the estimation of the M R is less sensitive to different stress levels (Sawangsuriya et al 2009, Ng et al 2013, Salour et al 2014. For this reason, a constant M RSAT value can be used for a specific soil for different stress levels, which are typically in the range of 10 to 100 kPa.…”

Section: Figure 4 Measured and Estimated M Ropt Of The Two Soils Usementioning

confidence: 99%

“…This philosophy has been more widely extended during the last decade by several investigators to interpret the M R of the compacted pavement subgrade soils (Khoury and Zaman 2004, Yang et al 2008, Liang et al 2008, Cary and Zapata 2011, Azam et al 2013, Salour et al 2014. Several semi-empirical models are proposed in the literature to predict the M R for various soils incorporating ψ as one of the influencing factors (Yang et al 2005, Cary and Zapata 2011, Ng et al 2013.…”

mentioning

confidence: 99%

A New Approach for Estimating the Influence of Soil Suction on the Resilient Modulus of Pavement Subgrade Soils

Han¹,

Mihambanou²,

Vanapalli³

2015

Airfield and Highway Pavements 2015

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A new approach is proposed in this paper for estimating the resilient modulus (M R ) of pavement subgrade soils taking account of the influence of the soil suction (ψ). This approach includes two steps: step (i) estimating the soil-water characteristic curve (SWCC) using one-point method, and step (ii) predicting the M R -ψ relationships using a simple model and the estimated SWCC from step (i). Estimations of the SWCC and the M R for two different subgrade soils using (i) the proposed approach, and (ii) the widely used mechanistic-empirical pavement design guide (MEPDG) approach are compared with the experimental measurements. The comparison results suggest that the proposed new approach provides reliable estimations of both the SWCC and the M R -ψ relationships. The proposed approach in this paper is relatively simple and is promising for use in the design of pavements.

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Modelling resilient modulus seasonal variation of silty sand subgrade soils with matric suction control

Cited by 50 publications

References 18 publications

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

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

Moisture influence on the resilient deformation behaviour of unbound granular materials

A New Approach for Estimating the Influence of Soil Suction on the Resilient Modulus of Pavement Subgrade Soils

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