Quasi-dynamic mooring line model
| Autor: | Xavi Gironella, Climent Molins, Pau Trubat |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament de Ciència i Enginyeria Nàutiques, Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental, Universitat Politècnica de Catalunya. ATEM - Anàlisi i Tecnologia d'Estructures i Materials, Universitat Politècnica de Catalunya. LIM/UPC - Laboratori d'Enginyeria Marítima |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
mooring
dynamic Environmental Engineering Inertial frame of reference model Nàutica::Enginyeria naval [Àrees temàtiques de la UPC] Tension (physics) business.industry Ocean Engineering Structural engineering quasi-dynamic Mooring floating Drag Enginyeria civil::Enginyeria hidràulica marítima i sanitària::Ports i costes [Àrees temàtiques de la UPC] Catenary Line (geometry) Range (statistics) Amarratge de vaixells business FOWT Apparent weight Ancoratge Mathematics |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Popis: | The quasi-dynamic mooring line model is a new approach to assess the mooring line tension that considers the static solution of the catenary shape, but updates the distributed vertical force along the mooring line as a function of the external forces, drag and inertial, acting on the line. In this way, an updated apparent weight is applied to the static solution of the catenary shape that improves significantly the solution obtained by the quasi-static approach, with an equivalent computational cost. Then, the model improves the tension solution of the quasi-static models by using that updated weight of the mooring, achieving results much closer to the dynamic models than the standard quasi-static ones. To appraise the improvement of the results, a parametric analysis within a wide range of mooring physical parameters is conducted. The error of the quasi-static tension of one cycle is less than 20% only for the 18% of the simulations, while the quasi-dynamic model produces an error less than 20% for the 84% of simulations. In addition, the model can predict the slack phenomenon. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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