Affiliation:
1. Faculty of Civil Engineering, University of Zagreb, 10000 Zagreb, Croatia
Abstract
Levees are linear structures that are continuously reconstructed throughout the years and whose construction and behavior depends on local soil conditions, as well as requirements regarding impermeability and mechanical resistance. This results in various levee cross sections, even within the same levee. In situations of extreme water events, when timely actions are required, this variability poses a problem for decision-making based on observed behavior, which is highly dependent on the specific section parameters. Creating models for each problematic section becomes impractical, and because of that, in this study, 91 different cross sections from 16 levees are considered to identify the key levee parameters with the largest effects on three observed mechanisms: deformations, exit hydraulic gradients, and factors of safety. The implemented factor screening methodology is based on the sequential bifurcation method (SB) and numerical analyses. The SB method successively investigates groups of factors and uses their cumulative effects to identify the important groups and to discard the unimportant based on a previously selected parameter Δ, until the groups are reduced to single factors that may be deemed important. It is found that approximately 30% of all the factors used to describe the most complex sections are considered important by at least one of the investigated mechanisms.
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference22 articles.
1. Phoon, K.K. (2008). Reliability-Based Design in Geotechnical Engineering, Taylor & Francis.
2. Mirosław-Świątek, D., Popielski, P., Śliwiński, P., Cwalina, T., and Skutnik, Z. (2021). Analysis of Factors Influencing Levee Safety Using the DEMATEL Method. PLOS ONE, 16.
3. Montgomery, D.C. (2017). Design and Analysis of Experiments, Wiley. [9th ed.].
4. Bettonvil, B. (1990). Detection of Important Factors by Sequential Bifurcation. [Ph.D. Thesis, Tilburg University].
5. Cheng, R. (1997, January 7–10). Searching For Important Factors: Sequential Bifurcation Under Uncertainty. Proceedings of the Winter Simulation Conference Proceedings, Atlanta, GA, USA.