Article,
A reliability-constrained optimisation framework for offshore wind turbine support structures
Contributors
Kolios A.
0000-0001-6711-641X
[2]
Amirafshari P.
0000-0001-5394-9648
[1]
Wang L.
0000-0002-0969-2395
(Corresponding author)
[3]
Affiliations
- [1] University of Strathclyde [NORA names: United Kingdom; Europe, Non-EU; OECD];
- [2] Technical University of Denmark [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
- [3] University of Nottingham [NORA names: United Kingdom; Europe, Non-EU; OECD]
Abstract
A new approach that links finite element analysis (FEA) and a genetic algorithm (GA) with Monte Carlo simulation (MCS) for the reliability-constrained optimal design of offshore wind turbine (OWT) support structure is presented. This approach has been applied to optimise the NREL 5MW OWT on OC3 support structure. The objective function minimises the weight of the support structure, constrained to design and performance limits, by attaining the desired reliability level. A response analysis of the reference OWT is performed to estimate design loads. Then, deterministic optimisation (DO) is carried out to find the candidate design solutions. After that, a reliability assessment is conducted to apply the target reliability constraint. This study reveals that the design of a monopile support structure is mainly driven by fatigue limit state. Also, there is no guarantee that DO candidate designs always meet the structural reliability target level in all capacities.
