Innovations in Science and Technologies 2-tom 9-san (2025) · 273-284-betler

STRUCTURAL OPTIMISATION OF TENSION LEG PLATFORM FOR AN OFFSHORE WIND TURBINE

Abduvaitov, Dilshodbek

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Annotaciya

Wind power is a proven sustainable energy source, with Offshore Wind Turbines (OWTs) offering higher efficiency by exploiting strong offshore winds. Advances in technology now allow Floating Offshore Wind Turbines (FOWTs) to operate in deep waters beyond fixed foundations. This study focuses on the structural optimisation of Tension Leg Platform (TLP)-type FOWTs using Finite Element Methods (FEM). The analysis includes hydrostatic pressure, aerodynamic thrust, turbine weight, and mooring loads, simulated with OpenFAST. A single-objective optimisation algorithm minimises platform mass under stress and buckling constraints. Results show that optimised stiffener placement significantly reduces mass while maintaining structural integrity, offering valuable guidance for future FOWT design and cost reduction.

Finite element analysis, structural mechanics, floating offshore wind turbines, structural optimisation.

Metadata derekkózi: jurnal OAI-PMH arxivi · Sindex tolıq mátindi saqlamaydı, derekkózge silteme beredi.

Dáyeksóz alıw

APA 7
Abduvaitov, Dilshodbek (2025). STRUCTURAL OPTIMISATION OF TENSION LEG PLATFORM FOR AN OFFSHORE WIND TURBINE. Innovations in Science and Technologies, 2(9), 273-284.
GOST R 7.0.5
Abduvaitov, Dilshodbek STRUCTURAL OPTIMISATION OF TENSION LEG PLATFORM FOR AN OFFSHORE WIND TURBINE // Innovations in Science and Technologies. 2025. Т. 2. № 9. С. 273-284.
BibTeX
@article{dilshodbek2025,
  author  = {Abduvaitov, Dilshodbek},
  title   = {STRUCTURAL OPTIMISATION OF TENSION LEG PLATFORM FOR AN OFFSHORE WIND TURBINE},
  journal = {Innovations in Science and Technologies},
  year    = {2025},
  volume  = {2},
  number  = {9},
  pages   = {273-284}
}
RIS
TY  - JOUR
AU  - Abduvaitov, Dilshodbek
TI  - STRUCTURAL OPTIMISATION OF TENSION LEG PLATFORM FOR AN OFFSHORE WIND TURBINE
JO  - Innovations in Science and Technologies
PY  - 2025
VL  - 2
IS  - 9
SP  - 273
EP  - 284
ER  -