Probabilistic approaches to the design and assessment of offshore foundations considering spatially varying site conditions
- In this contribution, we consider two applications in which probabilistic approaches can potentially complement or enhance the design and assessment of offshore wind turbine foundations. First, we illustrate in a numerical example that probabilistic modelling can be helpful in dealing with chang-es in turbine locations during the planning phase of an offshore wind farm. In this case, spatial probabilistic modelling of the ground conditions enables (a) an inference of the soil properties at the modified turbine location from field data collected at different locations across an offshore wind farm site and (b) an optimisation of further site investigations. Second, we discuss the uncer-tainties and risks associated with the installation of large diameter monopiles in soils with hetero-geneities such as strong layers and/or embedded boulders. Subsequently, we present a concept for modelling, understanding, and managing these risks based on a probabilistic model of the subgrade conditions,In this contribution, we consider two applications in which probabilistic approaches can potentially complement or enhance the design and assessment of offshore wind turbine foundations. First, we illustrate in a numerical example that probabilistic modelling can be helpful in dealing with chang-es in turbine locations during the planning phase of an offshore wind farm. In this case, spatial probabilistic modelling of the ground conditions enables (a) an inference of the soil properties at the modified turbine location from field data collected at different locations across an offshore wind farm site and (b) an optimisation of further site investigations. Second, we discuss the uncer-tainties and risks associated with the installation of large diameter monopiles in soils with hetero-geneities such as strong layers and/or embedded boulders. Subsequently, we present a concept for modelling, understanding, and managing these risks based on a probabilistic model of the subgrade conditions, monopile, and subgrade-pile-interaction.…
Autor*innen: | Ronald SchneiderORCiD, Pablo Cuéllar, Matthias BaeßlerORCiD |
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Dokumenttyp: | Beitrag zu einem Tagungsband |
Veröffentlichungsform: | Verlagsliteratur |
Sprache: | Englisch |
Titel des übergeordneten Werkes (Englisch): | Proceedings of the 3rd International Conference on Structural Integrity for Offshore Energy Industry (SI 2021) |
Jahr der Erstveröffentlichung: | 2022 |
Organisationseinheit der BAM: | 7 Bauwerkssicherheit |
7 Bauwerkssicherheit / 7.2 Ingenieurbau | |
Herausgeber (Institution): | ASRANet Ltd |
Erste Seite: | 9 |
Letzte Seite: | 17 |
DDC-Klassifikation: | Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Angewandte Physik |
Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Ingenieurbau | |
Freie Schlagwörter: | Foundation reliability analysis; Monopile installation risks; Probabilistic modelling; Spatially varying ground conditions |
Themenfelder/Aktivitätsfelder der BAM: | Energie |
Infrastruktur | |
Veranstaltung: | 3rd International Conference on Structural Integrity for Offshore Energy Industry (SI 2021) |
Veranstaltungsort: | Online meeting |
Beginndatum der Veranstaltung: | 15.11.2021 |
Enddatum der Veranstaltung: | 16.11.2021 |
ISBN: | 978-1-8383226-3-2 |
Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
Datum der Freischaltung: | 24.03.2022 |
Referierte Publikation: | Nein |