Cost-optimal design of river dikes using probabilistic methods

K Bischiniotis, W. Kanning, S. N. Jonkman, M. Kok

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)

Abstract

Given the large investments in dike construction and reinforcements, optimisation of these interventions could contribute to significant cost savings. In this study, a probabilistic method is developed for obtaining the geometry of a river dike cross-section that fulfils a specified target reliability at a minimal cost. The method takes into account multiple relevant failure mechanisms and various geometric parameters of the dike. Large numbers of cross-sections are generated and the reliability for each section is computed using FORM, Monte Carlo sampling, and numerical integration. The method is applied to several cases representing typical river dike profiles that are found in the Netherlands. Results show that for the optimal geometry the largest fraction of the target failure probability is assigned to those mechanisms with a relatively high cost of reinforcement. Also, comparison with the current semi-probabilistic design guidelines shows that a decrease in costs of up to 15% could be reached with the new optimisation method.

Original languageEnglish
Pages (from-to)S1022-S1014
Number of pages13
JournalJournal of Flood Risk Management
Volume11
Issue numberS2
DOIs
Publication statusPublished - 2016

Keywords

  • Failure probability
  • Flood risk
  • Optimisation
  • Probabilistic design
  • Reliability Analysis
  • River dike

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