Skip to main content

IMIS

A new integrated search interface will become available in the next phase of marineinfo.org.
For the time being, please use IMIS to search available data

 

[ report an error in this record ]basket (1): add | show Print this page

one publication added to basket [261188]
Estimating probability of dike failure by means of a Monte Carlo approach
Van Looveren, R.; Goormans, T.; Blanckaert, J.; Verelst, K.; Peeters, P. (2016). Estimating probability of dike failure by means of a Monte Carlo approach, in: Erpicum, S. et al. (Ed.) Proceedings of the 4th IAHR Europe Congress, Liege, Belgium, 27-29 July 2016: Sustainable Hydraulics in the Era of Global Change. pp. 896-903
In: Erpicum, S. et al. (Ed.) (2016). Proceedings of the 4th IAHR Europe Congress, Liege, Belgium, 27-29 July 2016: Sustainable Hydraulics in the Era of Global Change. CRC Press/Balkema: London. ISBN 978-1-138-02977-4. xxi, 194 pp., more

Available in  Authors 
Document type: Conference paper

Keyword
    Brackish water

Authors  Top 
  • Van Looveren, R., more
  • Goormans, T., more
  • Blanckaert, J., more

Abstract
    The European Flood Directive 2007/60/EC requires Member States to assess the flood risk along their water courses and to take adequate measures to reduce this risk. Often flood risk maps are developed by only taking into account dike overtopping. However, floods can also be caused by dike failure. Not taking this into account underestimates the flood risk. This paper presents a method to estimate the probability of dike section failure, taking into account several failure mechanisms. The method follows a Monte Carlo approach, in which all relevant parameters for the hydraulic loads as well as for the considered resisting forces vary according to specific distributions. Both the loads and failure mechanisms are described using numerical models. This method has been successfully applied on various dike segments along navigable water courses in Flanders, and in the Periodic Safety Review of the nuclear power plant of Doel.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors