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Effect of Anisotropic Consolidation on Response of Aggregates Subjected to Repeated Loading

Prabhu, SS and Suku, L and Babu, GLS (2019) Effect of Anisotropic Consolidation on Response of Aggregates Subjected to Repeated Loading. In: Indian Geotechnical Journal, 49 (3). pp. 328-340.

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Official URL: https://doi.org/10.1007/s40098-018-0337-z


Resilient modulus and permanent deformations are two important aspects which need to be considered in the design of pavements. The use of rollers in the field during pavement construction leads to a higher degree of compaction of material in the vertical direction which alters the properties of the base material used and contributes to stress-induced anisotropy. In this paper, the effects of stress-induced anisotropy on the properties of the granular material and the effect of loading on permanent deformation and resilient modulus, at different confining pressures and loading conditions, are discussed for both isotropically and anisotropically consolidated samples. The excess pore pressure patterns generated during the experiments are used to explain the behavior of both anisotropically and isotropically consolidated samples. It was observed from the studies that the properties of the anisotropically consolidated samples are superior to the results obtained for isotropically consolidated samples. © 2018, Indian Geotechnical Society.

Item Type: Journal Article
Publication: Indian Geotechnical Journal
Publisher: Springer
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Anisotropy; Deformation; Pavements; Pore pressure; Stress analysis, Anisotropic consolidation; Degree of compaction; Different confining pressures; Pavement construction; Permanent deformations; Permanent strain; Resilient modulus; Stress-induced anisotropy, Loading, aggregate; anisotropy; consolidation; deformation; elastic modulus; loading; pore pressure; resilience; strain analysis
Department/Centre: Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited: 23 Dec 2022 05:22
Last Modified: 23 Dec 2022 05:22
URI: https://eprints.iisc.ac.in/id/eprint/78522

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