Journal article
An efficient numerical approach for simulating soil-pipe interaction behaviour under cyclic loading
- Abstract:
- Understanding soil-pipe interaction during cyclic axial displacement is essential for the design and evaluation of buried pipeline systems. This study introduces an efficient and practical numerical approach using beam-spring-interface elements to simulate soil-pipe interaction behaviour. Numerical predictions of the evolution of shear and normal stress distributions around the pipe are validated against full-scale experimental results for steel and high-density polyethylene pipes buried in sandy soils. Three different backfill cover depths and soil densities ranging between loose and dense were considered to allow a rigorous comparison between the numerical predictions and the experimental results. The results show that the proposed approach provides a high-fidelity representation of the complex soil-pipe interaction behaviour at the interface zones, including stress cyclic degradation, hardening and softening, cyclic accumulative contraction and stabilization. This numerical framework provides accurate predictions for a fraction of the computational cost of a full three-dimensional finite element analysis.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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-
(Preview, Accepted manuscript, pdf, 3.9MB, Terms of use)
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- Publisher copy:
- 10.1016/j.compgeo.2022.104666
Authors
- Publisher:
- Elsevier
- Journal:
- Computers and Geotechnics More from this journal
- Volume:
- 146
- Article number:
- 104666
- Publication date:
- 2022-03-22
- Acceptance date:
- 2022-02-08
- DOI:
- EISSN:
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1873-7633
- ISSN:
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0266-352X
- Language:
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English
- Keywords:
- Pubs id:
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1249270
- Local pid:
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pubs:1249270
- Deposit date:
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2022-08-26
- ARK identifier:
Terms of use
- Copyright holder:
- Elsevier Ltd.
- Copyright date:
- 2022
- Rights statement:
- © 2022 Elsevier Ltd. All rights reserved.
- Notes:
-
This is the accepted manuscript version of the article. The final version is available from Elsevier at https://doi.org/10.1016/j.compgeo.2022.104666
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