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http://hdl.handle.net/10397/102524
| Title: | Numerical investigation on evolving failure of caisson foundation in sand using the combined Lagrangian-SPH method | Authors: | Jin, Z Yin, ZY Kotronis, P Jin, YF |
Issue Date: | 2019 | Source: | Marine georesources & geotechnology, 2019, v. 37, no. 1, p. 23-35 | Abstract: | Caisson foundations are often used in offshore engineering. However, for an optimum design understanding the failure process of a caisson during its installation and the subsequent external loadings is crucial. This paper focuses on the evolving failure of a caisson foundation in sand by advanced numerical modeling. A combined Lagrangian-smoothed particle hydrodynamics method is adopted to deal with the large deformation analysis. The method with parameters are first calibrated and validated by a simulation of cone penetration test in sand. The results of an experimental campaign of a caisson in the same sand are selected and validated for the numerical model. Then, more representative loading combinations are designated for numerical modeling of failure process and mode. Furthermore, three additional caisson dimensions D/d = 0.5, 1.5, and 2.0 (changing the ratio of caisson diameter D to skirt length d while keeping the same soil-structure surface contact area) are simulated under six representative combined loading paths. Based on that, the influence of caisson dimension to the failure process and mode is investigated. All results are helpful to estimate all possible sliding surfaces under different monotonic combined loading paths for further limit analysis. | Keywords: | Caisson Failure mode Foundation Large deformation Sand Smoothed particle hydrodynamics |
Publisher: | Taylor & Francis | Journal: | Marine georesources & geotechnology | ISSN: | 1064-119X | EISSN: | 1521-0618 | DOI: | 10.1080/1064119X.2018.1425311 | Rights: | © 2018 Taylor & Francis This is an Accepted Manuscript of an article published by Taylor & Francis in Marine Georesources & Geotechnology on 30 Jan 2018 (published online), available at: http://www.tandfonline.com/10.1080/1064119X.2018.1425311. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Yin_Numerical_Investigation_Evolving.pdf | Pre-Published version | 2.98 MB | Adobe PDF | View/Open |
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