Bayesian Networks for Estimating Hydrodynamic Forces on a Submerged Floating Tunnel

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 31st European Safety and Reliability Conference
EditorsBruno Castanier, Marko Cepin, David Bigaud, Christophe Berenguer
PublisherResearch Publishing Services
Pages2518-2524
Number of pages7
ISBN (Print)978-981-18-2016-8
DOIs
Publication statusPublished - 2021
Event31st European Safety and Reliability Conference - Angers, France
Duration: 19 Sep 202123 Sep 2021

Conference

Conference31st European Safety and Reliability Conference
Abbreviated titleESREL 2021
CountryFrance
CityAngers
Period19/09/2123/09/21

Bibliographical note

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.

Keywords

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

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