Resilient Modulus of Unbound Aggregate Base Courses from Senegal (West Africa)

Bâ, Makhaly; Fall, M; Samb, Fatou; Sarr, Déthié; Ndiaye, Mapathé

doi:10.4236/ojce.2011.11001

Cited by 20 publications

(16 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The cycles are repeated 100 times for 30 loading sequences with different combinations of confining pressures and deviator stresses. The last five cycles of each sequence are used to calculate the resilient modulus (Ba, 2011) [13].…”

Section: Testing Proceduresmentioning

confidence: 99%

“…There are water content (W), optimum water content (W opt ), dry density (γ d ), maximum dry density (γ dmax ), the percentage of fine particles (% fine), the percent passing on sieve 2 mm (P 2 ), the maximum size of particle (D max ), the coefficient of uniformity (Cu) and the coefficient of curvature (Cc). The resilient modulus was calculated using Uzan and NCHRP models, because they are more suitable to predict the resilient modulus (Ba, 2011) [13]. They are determined from states of stresses usually found in base course defined by NCHRP (2004) [14].…”

Section: Description Of Variablesmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of Resilient Modulus of Unbound Granular Materials from Senegal (West Africa)

Dione¹,

Fall²,

Berthaud³

et al. 2013

Self Cite

View full text Add to dashboard Cite

The resilient modulus (M r ) is an important parameter which describes the mechanical behavior of unbound granular materials. However, this parameter can be determined from physical properties. This paper presents the relationship between resilient modulus and physical properties of Quartzite from Bakel (GB), Basalt from Diack and Bargny and Bandia limestones. Simple and multiple regression method by stepwise are used to establish linear and nonlinear relations to predict the resilient modulus. The results showed no significant correlation for Basalt, a weak estimation of the modulus for GB and good prediction of resilient modulus for limestone. These results also showed that the model of Uzan is more suitable to predict the resilient modulus than NCHRP model and the resilient modulus is better predicted in nonlinear relationship.

show abstract

Section: Testing Proceduresmentioning

confidence: 99%

Section: Description Of Variablesmentioning

confidence: 99%

Estimation of Resilient Modulus of Unbound Granular Materials from Senegal (West Africa)

Dione¹,

Fall²,

Berthaud³

et al. 2013

Self Cite

View full text Add to dashboard Cite

show abstract

“…The concept of dynamic resilient modulus of subgrade soil was introduced by Seed et al [30], who studied the relationship between the resilient (elastic and reversible) characteristics of subgrade soil and the fatigue damage of asphalt pavement. In fact, the tensile stress and cracks, caused by the accumulation of permanent strains are the major cause of the damage of the subgrade and pavement materials [31][32][33][34][35]. Therefore, flexible pavement and resilient modulus values can replace compaction degree(CD) and California bearing ratio (CBR) values to reflect the stress-strain relationship of pavement structures under repeated vehicle load.…”

Section: Introductionmentioning

confidence: 99%

Resilient Modulus—Physical Parameters Relationship of Improved Red Clay by Dynamic Tri-Axial Test

Yuan

Wang

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

As one of the important parameters used in the analysis and design of subgrade, resilient modulus is directly related to the safety, economic and life time of subgrade structure. In this paper, the characteristics of resilient modulus of improved red clay at different additive content were studied through conducting laboratory repeated load tri-axial tests. The influence of stress state, moisture content, compactness, additive types, and content on resilient modulus were analyzed. In addition, the regression analysis of resilient modulus, was carried out referencing three existing prediction models. The results showed that the Andrei model can better fit the resilient modulus of red clay and have a higher determination coefficient. However, the Andrei model and other existing prediction models, reflect only the influence of stress state on resilient modulus, without considering the influence of moisture content, compactness and additive content. Therefore, based on the Andrei model, a comprehensive prediction model, which can reflect the influence of compactness, moisture content, additive content, and stress state on resilient modulus was introduced. Good agreement between the regression results and the measured ones demonstrated the integrative ability of the introduced model.

show abstract

“…Authors who have done recent work on these contexts and this material claim the importance to change the technical approach of the analysis, either by the use of the Modulus [4] or by the treatment of the material ([2] [5] [6]). It is necessary to perform geotechnical usual tests on this material, by studying the evolution of its main properties under traffic such as gradation, plasticity, compaction characteristics and their bearing strength, to appreciate accurately their behavior ( [7] [8]), in order to adapt their mechanical characteristics to the increasingly stringent traffic conditions with the view of achieving the triple challenge of state, nature and behavior.…”

Section: Introductionmentioning

confidence: 99%

Grain Size Influence on the Compaction Aptitude and the Bearing Strength of the Gravel Lateritic Soils

Diop¹,

Gbaguidi²,

Lo³

et al. 2018

Self Cite

View full text Add to dashboard Cite

This study is carried out to appreciate the coarse elements influence of the gravel lateritic soils on the pavement behavior. The material involves not only the 0/20 mm granular particles considered in the specifications and on the laboratory tests, but also all of the material that is actually used in the construction sites. Geotechnical characterization was leaned on five differentiated granular classes of 0/20; 0/25; 0/31.5; 0/40 and 0/63 mm diameters. The sample of 0/40 mm gets the best compaction aptitude, while that of 0/31.5 mm reaches the greatest bearing strength and a good Optimum Moisture Content. According to the requirements and its bearing strengths, the material is usable up to subbase layer and its behavior depends on the grain size.

show abstract

Resilient Modulus of Unbound Aggregate Base Courses from Senegal (West Africa)

Cited by 20 publications

References 1 publication

Estimation of Resilient Modulus of Unbound Granular Materials from Senegal (West Africa)

Estimation of Resilient Modulus of Unbound Granular Materials from Senegal (West Africa)

Resilient Modulus—Physical Parameters Relationship of Improved Red Clay by Dynamic Tri-Axial Test

Grain Size Influence on the Compaction Aptitude and the Bearing Strength of the Gravel Lateritic Soils

Contact Info

Product

Resources

About