Predictive model for normalized shear modulus of cohesive soils

The complex shear modulus (G*) and phase angle (δ) are fundamental viscoelastic rheological properties used in the estimation of rutting and fatigue pavement distress in asphalt binder. In the tropical regions, rutting and fatigue cracking are major pavement distress affecting the serviceability of road infrastructure. Laboratory testing of the complex shear modulus and phase angle requires expensive and advanced equipment that is not obtainable in major laboratories within the developing countries of the region, giving rise to the need for an accurate predictive model to support quality pavement design. This research aims at developing a predictive model for the estimation of rutting and fatigue susceptive of asphalt binder at intermediate and high pavement temperatures. Asphalt rheological and ageing test was conducted on eight mixes of modified binders used to build the study database containing 1976 and 1668 data points for rutting and fatigue parameters respectively. The database was divided into training and simulation dataset. The Gaussian process regression (GPR) algorithm was used to predict the rutting and fatigue parameters using unaged and aged conditioned inputs. The proposed GPR was compared with the support vector machine (SVM), recurrent neural networks (RNN) and artificial neural network (ANN) models. Results show that the model performed better in the estimation of rutting parameter than the fatigue parameter. Further, unaged input variables show better reliability in the prediction of fatigue parameter.

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Shear Modulus and Damping Ratio of Cohesive Soils

Journal of Earthquake Engineering ◽

10.1080/13632460801888525 ◽

2008 ◽

Vol 12 (6) ◽

pp. 879-913 ◽

Cited By ~ 37

Author(s):

P. Kallioglou ◽

Th. Tika ◽

K. Pitilakis

Keyword(s):

Shear Modulus ◽

Damping Ratio ◽

Cohesive Soils

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Application of Artificial Neural Networks for the prediction of undrained shear modulus in cohesive soils

ce/papers ◽

10.1002/cepa.774 ◽

2018 ◽

Vol 2 (2-3) ◽

pp. 833-838

Author(s):

Grzegorz WRZESIŃSKI ◽

Zbigniew LECHOWICZ ◽

Maria J. SULEWSKA

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Shear Modulus ◽

Cohesive Soils ◽

Artificial Neural ◽

Undrained Shear

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Extended model of shear modulus reduction for cohesive soils

Acta Geotechnica ◽

10.1007/s11440-021-01398-0 ◽

2021 ◽

Author(s):

John Kok Hee Wong ◽

Soon Yee Wong ◽

Kim Yuen Wong

Keyword(s):

Shear Modulus ◽

Cohesive Soils ◽

Extended Model ◽

Modulus Reduction

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Influence of grain size distribution on dynamic shear modulus of sands

Open Engineering ◽

10.1515/eng-2017-0036 ◽

2017 ◽

Vol 7 (1) ◽

pp. 317-329 ◽

Cited By ~ 2

Author(s):

Ireneusz Dyka ◽

Piotr E. Srokosz ◽

Marcin Bujko

Keyword(s):

Grain Size ◽

Shear Modulus ◽

Size Distribution ◽

Grain Size Distribution ◽

Soil Mechanics ◽

Dynamic Shear Modulus ◽

Cohesive Soils ◽

Dynamic Shear ◽

Bender Element ◽

Practical Applications

AbstractThe paper presents the results of laboratory tests, that verify the correlation between the grain-size characteristics of non-cohesive soils and the value of the dynamic shear modulus. The problem is a continuation of the research performed at the Institute of Soil Mechanics and Rock Mechanics in Karlsruhe, by T. Wichtmann and T. Triantafyllidis, who derived the extension of the applicability of the Hardin’s equation describing the explicite dependence between the grain size distribution of sands and the values of dynamic shear modulus. For this purpose, piezo-ceramic bender elements generating elastic waves were used to investigate the mechanical properties of the specimens with artificially generated particle distribution. The obtained results confirmed the hypothesis that grain size distribution of non-cohesive soils has a significant influence on the dynamic shear modulus, but at the same time they have shown that obtaining unambiguous results from bender element tests is a difficult task in practical applications.

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Shear Modulus and Shear Strength of Cohesive Soils

SOILS AND FOUNDATIONS ◽

10.3208/sandf1972.14.3_1 ◽

1974 ◽

Vol 14 (3) ◽

pp. 1-12 ◽

Cited By ~ 61

Author(s):

Akio Hara ◽

Tokiharu Ohta ◽

Masanori Niwa ◽

Shumpei Tanaka ◽

Tadashi Banno

Keyword(s):

Shear Strength ◽

Shear Modulus ◽

Cohesive Soils

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The Evaluation of the Initial Shear Modulus of Selected Cohesive Soils

Studia Geotechnica et Mechanica ◽

10.1515/sgem-2015-0014 ◽

2015 ◽

Vol 37 (2) ◽

pp. 3-9 ◽

Cited By ~ 1

Author(s):

Katarzyna Gabryś ◽

Alojzy Szymański

Keyword(s):

Shear Modulus ◽

Soil Parameters ◽

Cohesive Soils ◽

Initial Stiffness ◽

Empirical Formulas ◽

Data Set ◽

Soil Stiffness ◽

The Road ◽

Laboratory Test Results ◽

Materials Used

Abstract The paper concerns the evaluation of the initial stiffness of selected cohesive soils based on laboratory tests. The research materials used in this study were clayey soils taken from the area of the road embankment No. WD-18, on the 464th km of the S2 express-way, Konotopa-Airport route, Warsaw. The initial stiffness is represented here by the shear modulus (Gmax) determined during resonant column tests. In the article, a number of literature empirical formulas for defining initial value of the shear modulus of soils being examined were adopted from the literature in order to analyze the data set. However, a large discrepancy between laboratory test results and the values of Gmax calculated from empirical relationships resulted in the rejection of these proposals. They are inaccurate and do not allow for an exact evaluation of soil stiffness for selected cohesive soils. Hence, the authors proposed their own empirical formula that enables the evaluation of the test soils’ Gmax in an easy and uncomplicated way. This unique formula describes mathematically the effect of certain soil parameters, namely mean effective stress ( p′) and void ratio (e), on the initial soil stiffness.

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