Barr, A.D. orcid.org/0000-0002-8240-6412, Clarke, S. and Petkovski, M. (2019) High-pressure compressibility and shear strength data for soils. Canadian Geotechnical Journal, 56 (7). pp. 1042-1048. ISSN 0008-3674
Abstract
Soil behaviour is often an important consideration in the design of protective systems for blast and impact threats, as the properties of a soil can greatly affect the impulse generated from buried explosive devices, or the ability of a soil-filled structure to resist ballistic threats. Numerical modelling of these events often relies on extrapolation from low-pressure experiments. To develop soil models that remain accurate at very high pressures there is a need for data on soil behaviour under these extreme conditions. This paper demonstrates the use of a high-pressure multi-axial test apparatus to provide compressibility and shear strength data for four dry sandy soils. One-dimensional compression experiments were performed to axial stresses of 800 MPa, where the effects of particle-size distribution were observed with respect to compressibility and bulk unloading modulus. Each soil followed a bilinear normal compression line (NCL): more uniform soils initially had higher compression indices, but all four NCLs began to converge at void ratios below e ≈ 0.3. The failure surface of a sand was characterized to mean effective stress P' > 400 MPa using reduced triaxial compression experiments, removing the need to rely on extrapolation from low-pressure data.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 The Authors. This is an author-produced version of a paper subsequently published in Canadian Geotechnical Journal. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | High pressure; compressibility; shear strength; sand; blast; impact |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Funding Information: | Funder Grant number QINETIQ 3000235310 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Oct 2018 11:50 |
Last Modified: | 25 Jul 2019 11:49 |
Status: | Published |
Publisher: | NRC Research Press |
Refereed: | Yes |
Identification Number: | 10.1139/cgj-2018-0235 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:136606 |