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Published VersionCC BY-NC-ND V4.0, Open Access
Book chapter
Estimating bearing capacity of polar snow using the Cone Penetration Test (CPT)
Cone Penetration Testing 2022, pp.1010-1015
International Symposium on Cone Penetration Testing, 5th (Bologna, Italy, 08-Jun-2022–10-Jun-2022)
CRC Press
2022
Abstract
Increased access to the polar regions requires increased infrastructure. Design and construction of this infrastructure can only be achieved by accurately estimating surface bearing capacity. We reviewed contemporary methods for determining bearing capacity in soils and applied these to data obtained from almost 100 cone penetration tests conducted in Antarctica. Numerous direct and indirect methods exist to enable estimation of surface bearing capacity in polar snow, but the preferred method is the rate-controllable, friction-sleeve equipped, cone penetration test (CPT). Application of this and similar techniques is essential to ensure the correct design and construction of infrastructure in ever-more trafficked polar regions.
Details
- Title
- Estimating bearing capacity of polar snow using the Cone Penetration Test (CPT)
- Authors
- A.B. McCallum (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringG. White (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
- Contributors
- Guido Gottardi (Editor) - University of BolognaLaura Tonni (Editor) - University of Bologna
- Publication details
- Cone Penetration Testing 2022, pp.1010-1015
- Conference details
- International Symposium on Cone Penetration Testing, 5th (Bologna, Italy, 08-Jun-2022–10-Jun-2022)
- Publisher
- CRC Press
- Date published
- 2022
- DOI
- 10.1201/9781003308829-152; 10.1201/9781003308829
- ISBN
- 9781003308829
- Copyright note
- © 2022 Copyright the Author(s) Open Access: www.taylorfrancis.com, CC BY-NC-ND 4.0 license
- Organisation Unit
- Indigenous and Transcultural Research Centre; University of the Sunshine Coast, Queensland; Cancer Research Cluster; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99649776302621
- Output Type
- Book chapter
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