A Probabilistic Design Framework for Semi-Submerged Curtain Wall Breakwaters

Semi-submerged curtain breakwaters are increasingly favored to protect marinas and other microtidal basins, yet they are still almost exclusively designed with deterministic wave transmission equations. This study introduces a fully probabilistic design framework that translates uncertainty in wave...

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Main Authors: Damjan Bujak, Dalibor Carević, Goran Lončar, Hanna Miličević
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Infrastructures
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Online Access:https://www.mdpi.com/2412-3811/10/6/144
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author Damjan Bujak
Dalibor Carević
Goran Lončar
Hanna Miličević
author_facet Damjan Bujak
Dalibor Carević
Goran Lončar
Hanna Miličević
author_sort Damjan Bujak
collection DOAJ
description Semi-submerged curtain breakwaters are increasingly favored to protect marinas and other microtidal basins, yet they are still almost exclusively designed with deterministic wave transmission equations. This study introduces a fully probabilistic design framework that translates uncertainty in wave climate and water level design parameters into explicit confidence limits for transmitted wave height. Using Latin Hypercube Sampling, input uncertainty is propagated through a modified Wiegel transmission model, yielding empirical distributions of the transmission coefficients <i>K<sub>t</sub></i> and <i>H<sub>t</sub></i>. Our method uses the associated safety factor required to satisfy a 95% non-exceedance criterion, <i>SF</i><sub>95</sub>. Regression analysis reveals the existence of a strong inverse linear relationship (<i>R</i> = −0.9) between deterministic <i>K<sub>t</sub></i> and the probabilistic safety factor, indicating that designs trimmed to low nominal transmission (e.g., <i>K<sub>t</sub></i> ≤ 0.35) must be uprated by up to 55% once parameter uncertainty is acknowledged, whereas concepts with greater transmission require far smaller margins. Sobol indices show that uncertainty in <i>H<sub>m</sub></i><sub>0</sub> and T<i><sub>p</sub></i> each contribute ≈40% of the variance in <i>H<sub>t</sub></i> for a tide signal standard deviation of <i>σ<sub>η</sub></i> = 0.16 m, while tides only become equally important when <i>σ<sub>η</sub></i> > 0.30 m. Model-based uncertainty is negligible, standing at under 8%. The resulting lookup equations allow designers to convert any deterministic <i>K<sub>t</sub></i> target into a site-specific probabilistic limit with a single step, thereby embedding reliability into routine breakwater sizing and reducing the risk of underdesigned marina and port structures.
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spelling doaj-art-4a87b43baa1941b396c207572d64b9bf2025-08-20T02:21:02ZengMDPI AGInfrastructures2412-38112025-06-0110614410.3390/infrastructures10060144A Probabilistic Design Framework for Semi-Submerged Curtain Wall BreakwatersDamjan Bujak0Dalibor Carević1Goran Lončar2Hanna Miličević3Faculty of Civil Engineering, University of Zagreb, 10 000 Zagreb, CroatiaFaculty of Civil Engineering, University of Zagreb, 10 000 Zagreb, CroatiaFaculty of Civil Engineering, University of Zagreb, 10 000 Zagreb, CroatiaFaculty of Civil Engineering, University of Zagreb, 10 000 Zagreb, CroatiaSemi-submerged curtain breakwaters are increasingly favored to protect marinas and other microtidal basins, yet they are still almost exclusively designed with deterministic wave transmission equations. This study introduces a fully probabilistic design framework that translates uncertainty in wave climate and water level design parameters into explicit confidence limits for transmitted wave height. Using Latin Hypercube Sampling, input uncertainty is propagated through a modified Wiegel transmission model, yielding empirical distributions of the transmission coefficients <i>K<sub>t</sub></i> and <i>H<sub>t</sub></i>. Our method uses the associated safety factor required to satisfy a 95% non-exceedance criterion, <i>SF</i><sub>95</sub>. Regression analysis reveals the existence of a strong inverse linear relationship (<i>R</i> = −0.9) between deterministic <i>K<sub>t</sub></i> and the probabilistic safety factor, indicating that designs trimmed to low nominal transmission (e.g., <i>K<sub>t</sub></i> ≤ 0.35) must be uprated by up to 55% once parameter uncertainty is acknowledged, whereas concepts with greater transmission require far smaller margins. Sobol indices show that uncertainty in <i>H<sub>m</sub></i><sub>0</sub> and T<i><sub>p</sub></i> each contribute ≈40% of the variance in <i>H<sub>t</sub></i> for a tide signal standard deviation of <i>σ<sub>η</sub></i> = 0.16 m, while tides only become equally important when <i>σ<sub>η</sub></i> > 0.30 m. Model-based uncertainty is negligible, standing at under 8%. The resulting lookup equations allow designers to convert any deterministic <i>K<sub>t</sub></i> target into a site-specific probabilistic limit with a single step, thereby embedding reliability into routine breakwater sizing and reducing the risk of underdesigned marina and port structures.https://www.mdpi.com/2412-3811/10/6/144safety factorswave transmissioncurtain wall breakwatermarinaport
spellingShingle Damjan Bujak
Dalibor Carević
Goran Lončar
Hanna Miličević
A Probabilistic Design Framework for Semi-Submerged Curtain Wall Breakwaters
Infrastructures
safety factors
wave transmission
curtain wall breakwater
marina
port
title A Probabilistic Design Framework for Semi-Submerged Curtain Wall Breakwaters
title_full A Probabilistic Design Framework for Semi-Submerged Curtain Wall Breakwaters
title_fullStr A Probabilistic Design Framework for Semi-Submerged Curtain Wall Breakwaters
title_full_unstemmed A Probabilistic Design Framework for Semi-Submerged Curtain Wall Breakwaters
title_short A Probabilistic Design Framework for Semi-Submerged Curtain Wall Breakwaters
title_sort probabilistic design framework for semi submerged curtain wall breakwaters
topic safety factors
wave transmission
curtain wall breakwater
marina
port
url https://www.mdpi.com/2412-3811/10/6/144
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