Predicting Moisture-Dependent Resilient Modulus of Cohesive Soils Using Soil Suction Concept

Liang, Robert Y.; Rabab’ah, Samer R.; Khasawneh, Mohammad Ali

doi:10.1061/(asce)0733-947x(2008)134:1(34)

Cited by 128 publications

(53 citation statements)

References 17 publications

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“… Resilient modulus models of unbound layers and subgrade 1) Empirical regression models (AASHTO 1993;ARA, 2004) 2) Nonlinear stress-dependent models (Seed et al 1967;Hicks and Monismith 1971;Thompson and Robnett 1979;Drumm, 1990;Uzan 1985;Witczak and Uzan 1988;Witczak 2003;Lade and Nelson 1987) 3) Moisture-sensitive models (AASHTO 2008) 4) Moisture-sensitive and stress-dependent models (Oloo and Fredlund 1998;Lytton et al 1993;Lytton 1995;Sahin et al 2013;Yang et al 2005;Liang et al 2008;Cary and Zapata 2011;Gupta et al 2007;Oh and Fernando 2011) 5) Stress-dependent and cross-anisotropic models (Al-Qadi et al 2010;Tutumluer and Thompson 1997) 6) Moisture-sensitive, stress-dependent, and cross-anisotropic model (Gu et al 2016a) 7) Regression models for stress-dependent model coefficients (Yau and Von Quintus 2002) 6 8) Regression models for moisture-sensitive and stress-dependent model coefficients (Gu et al 2015b)  Permanent deformation models of unbound layers and subgrade 1) Non-stress-dependent mechanistic-empirical models (Kenis 1977;Uzan 2004;Tseng and Lytton 1989;Ayres and Witczak 1998) 2) Stress-dependent mechanistic-empirical models (ARA, 2004;Uzan 2004;Korkiala-Tanttu 2009;Chow et al 2014;Gu et al 2015a) 3) Regression models for Pavement ME Design model coefficients (Tseng and Lytton 1989;ARA, 2...…”

Section: Category Of Unbound Layer and Subgrade Models For Performancmentioning

confidence: 99%

Mechanistic-empirical models for better consideration of subgrade and unbound layers influence on pavement performance

Luo

Zhang

et al. 2017

Transportation Geotechnics

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It has been reported that the pavement performance predicted by the current mechanisticempirical pavement design shows low or no sensitivity to subgrade and unbound layers. This issue has raised wide attention. Targeting this problem, this paper summarizes the process used by the authors to find better models of the influence of subgrade and unbound base course layers on the performance of flexible and rigid pavements. A comprehensive literature review is first conducted and the findings are categorized. It is found that the resilient modulus, permanent deformation, shear strength, and erosion are key factors. In particular, the properties that provide greater sensitivity are 1) the moisture-dependency of the modulus, shear strength, and permanent deformation; 2) stress-dependency of the modulus and permanent deformation; and 3) crossanisotropy of the modulus. A number of unbound layer/subgrade models have been located and categorized. Three criteria are developed to identify the candidate models in terms of the degree of susceptibility, degree of accuracy, and ease of development. The first two criteria are used to evaluate the collected unbound layer/subgrade models, while associated development and implementation issues are planned as subsequent work. Two models that the authors previously developed are selected as examples to illustrate the improvement of the performance prediction, including the moisture-sensitive, stress-dependent, and cross-anisotropic modulus model for unbound layers and stress-dependent mechanistic-empirical permanent deformation model for unbound base layers. These two models are verified through laboratory tests and numerical simulations. Moreover, they are compared to their counterparts in the AASHTOWare Pavement ME Design. The advantages of accuracy and sensitivity to the operational conditions (e.g. moisture, traffic stress, and load-induced/particle-induced anisotropy) are obvious. In addition to these two models, the development of the shear strength model and erosion model are sketched.The candidate models need further development and implementation, which address issues such as hierarchical inputs, calibration/validation, and implementation. These are the on-going and planned work on this topic to better incorporate the influence of subgrade and unbound layers so as to contribute to the improvement of pavement designs.

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Section: Category Of Unbound Layer and Subgrade Models For Performancmentioning

confidence: 99%

Mechanistic-empirical models for better consideration of subgrade and unbound layers influence on pavement performance

Luo

Zhang

et al. 2017

Transportation Geotechnics

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show abstract

“…Based on this fact, several studies have demonstrated the strong relationship between the resilient modulus and matric suction [3], [5]- [7]. Consequently, over the last few decades, resilient modulus predictive models which consider soil suction as a part of predictive parameters have been proposed [31]- [35]. However, all of them require suction parameters (e.g., matric suction) which are generally obtained from the suction measurements taken in laboratories or in the field.…”

Section: Cyclic Response Of Uugmsmentioning

confidence: 99%

“…(2), was used to incorporate the matric suction into the Universal model. Consequently, the matric suction in terms of ( − ), or the effective suction confinement, can be considered with the resilient modulus model, in a similar manner to the equation proposed by [35], as shown in Eq. (5).…”

Section: Cyclic Response Of Uugmsmentioning

confidence: 99%

A New Mechanistic Framework for Evaluation of Cyclic Behaviour of Unsaturated Unbound Granular Materials

Jitsangiam¹

2017

GEOMATE

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ABSTRACT:The unsaturated unbound granular materials (UUGMs) as a base course layer play a major role in the overall performance of the multi-layered flexible pavement system. In theory, the cyclic response of UUGMs (under traffic loading) depends greatly upon moisture content and matric suction, but these effects have been conventionally difficult to quantify. This paper presents a new mechanistic framework for characterising the cyclic behaviour of UUGMs with differing levels of moisture content and density, and in various in-service stress conditions in pavements without real cyclic testing on UUGMs. These parameters would typically be considered to gain a more precise pavement evaluation. In this study, a normalisation procedure was performed to incorporate matric suction into the cyclic response evaluation of UUGMs with a range of moisture contents and without actual suction measurement. A new soil suction model with three density-independent parameters was derived from a series of static triaxial compression tests based on the traditional triaxial facilities. The suction model developed can be used, with the Bishop effective stress constitutive model, to successfully evaluate the resilient response of UUGMs under the stated conditions. With the inclusion of matric suction, this new mechanical framework provides a more reliable resilient modulus prediction model.

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“…Liang and Rabab'ah [8] said that the majority of fine soils show a decreasing resilient modulus pattern with the increase of moisture and that the matric suction has been a suitable state variable to predict the dependence of resilient modulus with moisture for clayey soils.…”

Section: Previous Studiesmentioning

confidence: 99%

Study of the Influence of Groundwater Table in Mechanical Behavior of a Full-Scale Pavement Structure Modeled in a Test-Pit

Silva¹,

Burden²,

Motta³

2014

JTTE

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Abstract:The mechanical characteristics of road pavement layers are influenced by moisture conditions. Drying and wetting change the moisture content of the materials used in pavement structures, consequently affecting the mechanical response. An experimental program was conducted to evaluate elastic deformations of a road pavement structure utilizing repetitive rigid plate load tests in a model test-pit facility. A typical Brazilian pavement (a multilayer system composed of a concrete asphalt and coarse base, and subbase) was simulated in this test-pit with devices for measuring humidity (TDR (time domain reflectometry)) and suction (tensiometers) installed every 20.0 cm along the profile. A pair of displacement transducers was attached on the surface of the pavement structure to record deformations due to dynamic loads. Two levels of groundwater table were analyzed, verifying that the pavement structure displacement increases with groundwater table growth. The structural response was evaluated and compared in physical and numerical models, and the results confirmed that the higher groundwater levels caused the greatest pavement displacements.

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Predicting Moisture-Dependent Resilient Modulus of Cohesive Soils Using Soil Suction Concept

Cited by 128 publications

References 17 publications

Mechanistic-empirical models for better consideration of subgrade and unbound layers influence on pavement performance

Mechanistic-empirical models for better consideration of subgrade and unbound layers influence on pavement performance

A New Mechanistic Framework for Evaluation of Cyclic Behaviour of Unsaturated Unbound Granular Materials

Study of the Influence of Groundwater Table in Mechanical Behavior of a Full-Scale Pavement Structure Modeled in a Test-Pit

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