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Scientific paper - Original scientific paper
Methodology for Identification of the Key Levee Parameters for Limit-State Analyses Based on Sequential Bifurcation
Sustainability, 15 (2023), 6; 1-16. https://doi.org/10.3390/su15064754
Rossi, Nicola; Bačić, Mario; Librić, Lovorka; Kovačević, Meho Saša

Institutional repository: Repository of the Faculty of Civil Engineering, University of Zagreb

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Rossi, N., Bačić, M., Librić, L. & Kovačević, M. S. (2023). Methodology for Identification of the Key Levee Parameters for Limit-State Analyses Based on Sequential Bifurcation. Sustainability, 15. (6), 1-16. doi: 10.3390/su15064754

Rossi, Nicola, et al. "Methodology for Identification of the Key Levee Parameters for Limit-State Analyses Based on Sequential Bifurcation." Sustainability, vol. 15, no. 6, 2023, pp. 1-16. https://doi.org/10.3390/su15064754

Rossi, Nicola, Mario Bačić, Lovorka Librić and Meho Saša Kovačević. "Methodology for Identification of the Key Levee Parameters for Limit-State Analyses Based on Sequential Bifurcation." Sustainability 15, no. 6 (2023): 1-16. https://doi.org/10.3390/su15064754

Rossi, N., et al. (2023) 'Methodology for Identification of the Key Levee Parameters for Limit-State Analyses Based on Sequential Bifurcation', Sustainability, 15(6), pp. 1-16. doi: 10.3390/su15064754

Rossi N, Bačić M, Librić L, Kovačević MS. Methodology for Identification of the Key Levee Parameters for Limit-State Analyses Based on Sequential Bifurcation. Sustainability [Internet]. 2023 [cited 2024 November 06];15(6):1-16. doi: 10.3390/su15064754

N. Rossi, M. Bačić, L. Librić and M. S. Kovačević, "Methodology for Identification of the Key Levee Parameters for Limit-State Analyses Based on Sequential Bifurcation", Sustainability, vol. 15, no. 6, pp. 1-16, 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:237:733755. [Accessed: 06 November 2024]

Metadata
Title (croatian)Methodology for Identification of the Key Levee Parameters for Limit-State Analyses Based on Sequential Bifurcation
AuthorNicola Rossi
AuthorMario Bačić
AuthorLovorka Librić
AuthorMeho Saša Kovačević
Author's institutionUniversity of Zagreb
Faculty of Civil Engineering
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Civil Engineering
Abstract (croatian)
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.
Keywords (croatian)
Languagecroatian
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleSustainability
Numberingvol. 15, no. 6, pp. 1-16
p-ISSN2071-1050
DOIhttps://doi.org/10.3390/su15064754
URN:NBNurn:nbn:hr:237:733755
Publication2023
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-09-05 08:47:02