The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/8591ae25-7b98-4939-9b16-73ef07f503ed

Torres Alves, Gina (2024): Scripts for copula, vine-copula and Bayesian network methodologies for Submerged Floating Tunnels. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/8591ae25-7b98-4939-9b16-73ef07f503ed.v1

Dataset

• Civil Engineering
• Engineering

bayesian networks, copulas, submerged floating tunnel, vine-copulas

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Gina Torres Alves

Scripts for statistical modeling of submerged floating tunnels: This repository contains scripts developed for the application of Bayesian networks, vine-copula and copula-based models to data related to submerged floating tunnels. The research objective is to investigate the complex relationships between environmental variables, traffic information, and other variables relevant for the safety in submerged floating tunnels. The scripts aim to perform simulations that capture the dependence structure of the observations. The scripts analyze both continuous and discrete data, reflecting the diverse nature of the phenomena under study.

• 2024-05-02 first online, published, posted

4TU.ResearchData

.R ;.neta

Structural reliability analysis of a submerged floating tunnel under copula-based traffic load simulations

TU Delft, Faculty Civil Engineering and Geosciences, Department of Hydraulic Engineering