A Bayesian Network approach for risk analysis of composite subsea pipelines subjected to falling objects
Thermoplastic Composite Pipes (TCPs) have potentials to be used as subsea pipelines. TCPs are superior in corrosion resistance, yet vulnerable to impact damages. In this study, a Bayesian Network (BN) model was developed taking the factors, such as water depth, weather condition, seabed stiffness, m...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2022-01-01
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| Col·lecció: | International Journal of Naval Architecture and Ocean Engineering |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2092678222000528 |
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