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Extreme response based reliability analysis of composite risers for applications in deepwater

Extreme response based reliability analysis of composite risers for applications in deepwater
Extreme response based reliability analysis of composite risers for applications in deepwater
As current oil reserves start to deplete, companies are looking to exploit deeper deposits. At these greater depths composite risers, with their high strength-to-weight ratio, reduce the effective tensions and bending moments compared to steel risers. However, there is still limited research into their behaviour, with one key missing element being a comparison with traditional riser designs which accounts for variances in material properties and wave loads. This paper therefore conducts a strength-based reliability analysis of composite catenary risers operating between 1,500m and 4,000m. A static global catenary model is combined with Classical Laminate Theory to determine the extreme response and its performance is verified against FEA. This response is evaluated with the Tsai-Wu failure criterion to determine first-ply failure. The effect of laminate moisture absorption on the long-term reliability of submerged composite-based risers is also investigated as it can cause a significant reduction in the strength of composite risers. The reliability analysis is conducted using the Monte Carlo Method, revealing that the composite risers perform well at 4000m. The degradation in performance from moisture absorption becomes increasingly important at greater depths and needs further investigation for these applications.
0951-8339
103015
Ragheb, Hossam Ali
0cb06fbc-791d-4535-ba2c-1e3f53ba958b
Goodridge, Maldon
d8e4f56e-5da0-4a9b-8f81-6ee796b08cc5
Pham, Dinh Chi
7508d67e-d951-48b6-bd16-d2e0596f5035
Sobey, Adam
e850606f-aa79-4c99-8682-2cfffda3cd28
Ragheb, Hossam Ali
0cb06fbc-791d-4535-ba2c-1e3f53ba958b
Goodridge, Maldon
d8e4f56e-5da0-4a9b-8f81-6ee796b08cc5
Pham, Dinh Chi
7508d67e-d951-48b6-bd16-d2e0596f5035
Sobey, Adam
e850606f-aa79-4c99-8682-2cfffda3cd28

Ragheb, Hossam Ali, Goodridge, Maldon, Pham, Dinh Chi and Sobey, Adam (2021) Extreme response based reliability analysis of composite risers for applications in deepwater. Marine Structures, 78, 103015.

Record type: Article

Abstract

As current oil reserves start to deplete, companies are looking to exploit deeper deposits. At these greater depths composite risers, with their high strength-to-weight ratio, reduce the effective tensions and bending moments compared to steel risers. However, there is still limited research into their behaviour, with one key missing element being a comparison with traditional riser designs which accounts for variances in material properties and wave loads. This paper therefore conducts a strength-based reliability analysis of composite catenary risers operating between 1,500m and 4,000m. A static global catenary model is combined with Classical Laminate Theory to determine the extreme response and its performance is verified against FEA. This response is evaluated with the Tsai-Wu failure criterion to determine first-ply failure. The effect of laminate moisture absorption on the long-term reliability of submerged composite-based risers is also investigated as it can cause a significant reduction in the strength of composite risers. The reliability analysis is conducted using the Monte Carlo Method, revealing that the composite risers perform well at 4000m. The degradation in performance from moisture absorption becomes increasingly important at greater depths and needs further investigation for these applications.

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Extreme response based reliability analysis of composite risers for applications in deepwater - Accepted Manuscript
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More information

Accepted/In Press date: 19 April 2021
Published date: 1 July 2021

Identifiers

Local EPrints ID: 449005
URI: http://eprints.soton.ac.uk/id/eprint/449005
ISSN: 0951-8339
PURE UUID: 0a2d4c46-cd9c-427a-8ac6-67f3daa2fd0b
ORCID for Adam Sobey: ORCID iD orcid.org/0000-0001-6880-8338

Catalogue record

Date deposited: 13 May 2021 16:38
Last modified: 17 Mar 2024 06:30

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Contributors

Author: Maldon Goodridge
Author: Dinh Chi Pham
Author: Adam Sobey ORCID iD

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