Liu, G., Zhou, J., Connolly, D.P. orcid.org/0000-0002-3950-8704 et al. (4 more authors) (2024) A Statistical Damage Constitutive Model for Graded Gravels Incorporating the Degree of Compaction and the Damage-Softening Index. International Journal of Geomechanics, 24 (4). 04024033. ISSN 1532-3641
Abstract
Strength characteristics of graded gravels are essential in the construction of roadway and railway substructures. Traditional constitutive models, primarily nonlinear elastic and plastic types, fall short in accurately capturing the strain-softening properties of such materials. To address this limitation, the current study introduces a statistical damage model designed to outline the stress-strain behavior of densely compacted graded gravels in transport infrastructures. Utilizing medium-sized triaxial tests, the model examines variations in strength and deformation parameters in relation to compaction levels and incorporates a unique damage-softening index (DSI) along with a threshold axial strain to improve accuracy. The study establishes that the DSI and threshold axial strain effectively regulate stress-strain relations in the postpeak segment, the model's statistical parameters and threshold axial strain can be precisely determined through the introduction of DSI, and the model closely aligns with experimental data across multiple compaction levels. These findings are especially relevant for engineering design in the context of roadway and railway construction and indicate potential for further refinement, such as the incorporation of loading rate considerations.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This item is protected by copyright. This is an author produced version of an article published in the International Journal of Geomechanics. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Statistical damage-softening model; graded gravel; degree of compaction; damage variable; damage-softening index; stress-strain relation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Oct 2024 10:58 |
Last Modified: | 21 Oct 2024 10:59 |
Published Version: | https://ascelibrary.org/doi/10.1061/IJGNAI.GMENG-9... |
Status: | Published |
Publisher: | American Society of Civil Engineers |
Identification Number: | 10.1061/ijgnai.gmeng-9018 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:218608 |