Bayesian Networks for Estimating Hydrodynamic Forces on a Submerged Floating Tunnel

Bayesian Networks for Estimating Hydrodynamic Forces on a Submerged Floating Tunnel

Torres Alves, G.A. (TU Delft Hydraulic Structures and Flood Risk)
Morales Napoles, O. (TU Delft Hydraulic Structures and Flood Risk)
Jonkman, Sebastiaan N. (TU Delft Hydraulic Structures and Flood Risk)

Castanier, Bruno (editor)
Cepin, Marko (editor)
Bigaud, David (editor)
Berenguer, Christophe (editor)

2021

A submerged floating tunnel (SFT) is a novel structure that allows crossing waterways where immersed tunnels or bridges are not viable. However, no SFT has been built yet mainly, due to lack of experience. In consequence, there are several uncertainties regarding its design and construction. An effect that should be further investigated is the structural response of the SFT under the simultaneous action of waves and currents. For this purpose, extreme values of waves and currents that were generated through a vine-copula model are used as input in a statistical model based on Bayesian Networks (BNs). The BNs are used to study the conditional correlation (i.e the correlation between random variables conditionalized on a given event) between the hydrodynamic forces acting on the SFT and metocean variables such as waves and currents. This methodology was applied to a case study in China for a SFT aimed to be built at the Qiongzhou Strait. Moreover, the BN model was used to test twelve different configurations of the SFT, with varying submergence depths and diameter sizes. The proposed methodology can be used to provide a more realistic estimation of the forces on the SFT by considering the dependence between the variables of interest. Moreover, this methodology can be extended to test different configurations of the SFT and other hydraulic or maritime structures subjected to simultaneous loading.

Submerged floating tunnel
Bayesian networks
Extreme values
Vine-copula
Waves
Currents

http://resolver.tudelft.nl/uuid:63e3b056-5adc-4775-8e6b-9420284eef9d

https://doi.org/10.3850/978-981-18-2016-8_292-cd

Research Publishing Services

2022-03-23

978-981-18-2016-8

Proceedings of the 31st European Safety and Reliability Conference

31st European Safety and Reliability Conference, 2021-09-19 → 2021-09-23, Angers, France

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2021 G.A. Torres Alves, O. Morales Napoles, Sebastiaan N. Jonkman