Sensitivity analysis of design parameters for reliability assessment of offshore wind turbine jacket support structures
Offshore Wind Turbine (OWT) support structures are subjected to hostile environments, defined by highly stochastic loads and complex soil-structure interaction, and thus the need for a probabilistic approach towards design. The study carried out herein presents the sensitivity analysis of these inhe...
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Format: | Article |
Language: | English |
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Elsevier
2022-01-01
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Series: | International Journal of Naval Architecture and Ocean Engineering |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2092678222000073 |
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author | Abdulhakim Adeoye Shittu Ali Mehmanparast Peyman Amirafshari Phil Hart Athanasios Kolios |
author_facet | Abdulhakim Adeoye Shittu Ali Mehmanparast Peyman Amirafshari Phil Hart Athanasios Kolios |
author_sort | Abdulhakim Adeoye Shittu |
collection | DOAJ |
description | Offshore Wind Turbine (OWT) support structures are subjected to hostile environments, defined by highly stochastic loads and complex soil-structure interaction, and thus the need for a probabilistic approach towards design. The study carried out herein presents the sensitivity analysis of these inherent stochastic variables imposed on a complex OWT support structure via purpose-developed modular non-intrusive structural reliability assessment formulation. The results from this study reveal that the uncertainties in the wind speed is a structural design driving factor and the hydrodynamic load effects are secondary to this, for the ultimate (ULS) and Fatigue Limit States (FLS) while their relative sensitivities on the Serviceability Limit State (SLS) cannot be clearly distinguished but are seen to have a dominant impact. Also, it was inferred that incorporating correlation between the variables have a significant impact on the reliability of the structure in the ULS design. |
first_indexed | 2024-04-11T09:41:18Z |
format | Article |
id | doaj.art-b695b4feeff44bc39c89c980bb7ab9f5 |
institution | Directory Open Access Journal |
issn | 2092-6782 |
language | English |
last_indexed | 2024-04-11T09:41:18Z |
publishDate | 2022-01-01 |
publisher | Elsevier |
record_format | Article |
series | International Journal of Naval Architecture and Ocean Engineering |
spelling | doaj.art-b695b4feeff44bc39c89c980bb7ab9f52022-12-22T04:31:18ZengElsevierInternational Journal of Naval Architecture and Ocean Engineering2092-67822022-01-0114100441Sensitivity analysis of design parameters for reliability assessment of offshore wind turbine jacket support structuresAbdulhakim Adeoye Shittu0Ali Mehmanparast1Peyman Amirafshari2Phil Hart3Athanasios Kolios4Energy and Power Theme, School of Water, Energy and Environment, Cranfield University, Cranfield, Bedfordshire, United Kingdom; Department of Mathematics and Statistics, Federal University Wukari, Wukari, Taraba, Nigeria; Corresponding author. Energy and Power Theme, School of Water, Energy and Environment, Cranfield University, Cranfield, Bedfordshire, United Kingdom.Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow, United KingdomDepartment of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow, United KingdomEnergy and Power Theme, School of Water, Energy and Environment, Cranfield University, Cranfield, Bedfordshire, United KingdomDepartment of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow, United KingdomOffshore Wind Turbine (OWT) support structures are subjected to hostile environments, defined by highly stochastic loads and complex soil-structure interaction, and thus the need for a probabilistic approach towards design. The study carried out herein presents the sensitivity analysis of these inherent stochastic variables imposed on a complex OWT support structure via purpose-developed modular non-intrusive structural reliability assessment formulation. The results from this study reveal that the uncertainties in the wind speed is a structural design driving factor and the hydrodynamic load effects are secondary to this, for the ultimate (ULS) and Fatigue Limit States (FLS) while their relative sensitivities on the Serviceability Limit State (SLS) cannot be clearly distinguished but are seen to have a dominant impact. Also, it was inferred that incorporating correlation between the variables have a significant impact on the reliability of the structure in the ULS design.http://www.sciencedirect.com/science/article/pii/S2092678222000073Stochastic sensitivity assessmentStochastic FEA modellingNon-intrusive formulationsIterative FORMOffshore wind structures |
spellingShingle | Abdulhakim Adeoye Shittu Ali Mehmanparast Peyman Amirafshari Phil Hart Athanasios Kolios Sensitivity analysis of design parameters for reliability assessment of offshore wind turbine jacket support structures International Journal of Naval Architecture and Ocean Engineering Stochastic sensitivity assessment Stochastic FEA modelling Non-intrusive formulations Iterative FORM Offshore wind structures |
title | Sensitivity analysis of design parameters for reliability assessment of offshore wind turbine jacket support structures |
title_full | Sensitivity analysis of design parameters for reliability assessment of offshore wind turbine jacket support structures |
title_fullStr | Sensitivity analysis of design parameters for reliability assessment of offshore wind turbine jacket support structures |
title_full_unstemmed | Sensitivity analysis of design parameters for reliability assessment of offshore wind turbine jacket support structures |
title_short | Sensitivity analysis of design parameters for reliability assessment of offshore wind turbine jacket support structures |
title_sort | sensitivity analysis of design parameters for reliability assessment of offshore wind turbine jacket support structures |
topic | Stochastic sensitivity assessment Stochastic FEA modelling Non-intrusive formulations Iterative FORM Offshore wind structures |
url | http://www.sciencedirect.com/science/article/pii/S2092678222000073 |
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