scholarly journals Reliability-based design optimization of a spar-type floating offshore wind turbine support structure

2021 ◽  
pp. 107666
Author(s):  
Mareike Leimeister ◽  
Athanasios Kolios
Keyword(s):  
Wind Turbine ◽  
Design Optimization ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Reliability Based Design Optimization ◽  
Support Structure ◽  
Floating Offshore Wind Turbine ◽  
Reliability Based Design

scholarly journals Reliability-based design optimization of offshore wind turbine support structures using analytical sensitivities and factorized uncertainty modeling

2019 ◽  
Author(s):  
Lars Einar S. Stieng ◽  
Michael Muskulus
Keyword(s):  
Wind Turbine ◽  
Design Optimization ◽  
Optimization Methods ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
High Fidelity ◽  
Reliability Based Design Optimization ◽  
Support Structure ◽  
Reliability Based Design ◽  
Gradient Based

Abstract. The need for cost effective support structure designs for offshore wind turbines has led to continued interest in the development of design optimization methods. So far, almost no studies have considered the effect of uncertainty, and hence probabilistic constraints, on the support structure design optimization problem. In this work, we present a general methodology that implements recent developments in gradient-based design optimization, in particular the use of analytical gradients, within the context of reliability-based design optimization methods. By an assumed factorization of the uncertain response into a design-independent, probabilistic part and a design-dependent, but completely deterministic part, it is possible to computationally decouple the reliability analysis from the design optimization. Furthermore, this decoupling makes no further assumption about the functional nature of the stochastic response, meaning that high fidelity surrogate modeling through Gaussian process regression of the probabilistic part can be performed while using analytical gradient-based methods for the design optimization. We apply this methodology to several different cases based around a uniform cantilever beam and the OC3 Monopile and different loading and constraints scenarios. The results demonstrate the viability of the approach in terms of obtaining reliable, optimal support structure designs and furthermore show that in practice only a limited amount of additional computational effort is required compared to deterministic design optimization. While there are some limitations in the applied cases, and some further refinement might be necessary for applications to high fidelity design scenarios, the demonstrated capabilities of the proposed methodology show that efficient reliability-based optimization for offshore wind turbine support structures is feasible.

scholarly journals Reliability-based design optimization of offshore wind turbine support structures using analytical sensitivities and factorized uncertainty modeling

2020 ◽  
Vol 5 (1) ◽  
pp. 171-198 ◽  
Author(s):  
Lars Einar S. Stieng ◽  
Michael Muskulus
Keyword(s):  
Design Optimization ◽  
Optimization Methods ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
High Fidelity ◽  
Reliability Based Design Optimization ◽  
Support Structure ◽  
Reliability Based Design ◽  
Gradient Based ◽  
Reliability Based Optimization

Abstract. The need for cost-effective support structure designs for offshore wind turbines has led to continued interest in the development of design optimization methods. So far, almost no studies have considered the effect of uncertainty, and hence probabilistic constraints, on the support structure design optimization problem. In this work, we present a general methodology that implements recent developments in gradient-based design optimization, in particular the use of analytical gradients, within the context of reliability-based design optimization methods. Gradient-based optimization is typically more efficient and has more well-defined convergence properties than gradient-free methods, making this the preferred paradigm for reliability-based optimization where possible. By an assumed factorization of the uncertain response into a design-independent, probabilistic part and a design-dependent but completely deterministic part, it is possible to computationally decouple the reliability analysis from the design optimization. Furthermore, this decoupling makes no further assumption about the functional nature of the stochastic response, meaning that high-fidelity surrogate modeling through Gaussian process regression of the probabilistic part can be performed while using analytical gradient-based methods for the design optimization. We apply this methodology to several different cases based around a uniform cantilever beam and the OC3 Monopile and different loading and constraint scenarios. The results demonstrate the viability of the approach in terms of obtaining reliable, optimal support structure designs and furthermore show that in practice only a limited amount of additional computational effort is required compared to deterministic design optimization. While there are some limitations in the applied cases, and some further refinement might be necessary for applications to high-fidelity design scenarios, the demonstrated capabilities of the proposed methodology show that efficient reliability-based optimization for offshore wind turbine support structures is feasible.

Reliability-based design optimization of monopile transition piece for offshore wind turbine system

2014 ◽  
Vol 71 ◽  
pp. 729-741 ◽  
Author(s):  
Yeon-Seung Lee ◽  
Byung-Lyul Choi ◽  
Ji Hyun Lee ◽  
Soo Young Kim ◽  
Soonhung Han
Keyword(s):  
Wind Turbine ◽  
Design Optimization ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Reliability Based Design Optimization ◽  
Reliability Based Design ◽  
Wind Turbine System ◽  
Transition Piece

scholarly journals Design Optimization and Reliability Analysis of Jacket Support Structure for 5-MW Offshore Wind Turbine

2014 ◽  
Vol 28 (3) ◽  
pp. 218-226 ◽  
Author(s):  
Ji-Hyun Lee ◽  
Soo-Young Kim ◽  
Myung-Hyun Kim ◽  
Sung-Chul Shin ◽  
Yeon-Seung Lee
Keyword(s):  
Wind Turbine ◽  
Design Optimization ◽  
Reliability Analysis ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Support Structure

scholarly journals Design Optimization of Conical Concrete Support Structure for Offshore Wind Turbine

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4876
Author(s):  
Hyun-Gi Kim ◽  
Bum-Joon Kim
Keyword(s):  
Structural Analysis ◽  
Wind Turbine ◽  
Design Optimization ◽  
Time History ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Support Structures ◽  
Support Structure ◽  
Analysis And Design ◽  
Natural Frequency Analysis

Various types of support structures for offshore wind turbine have been developed, and concrete structures have attracted attention due to many advantages. Although many studies have been conducted on the design of the existing steel structures, information and research on the design of concrete support structures are insufficient. Therefore, in this paper, a structural analysis model of conical concrete support structure (CCSS) is established and design optimization is presented. A detailed performance evaluation and the design of prestressed concrete were performed under the marine conditions of Phase 1 test site of southwest offshore wind project in Korea. The fluid–soil–structure interaction (FSI) was applied using the added mass method and soil spring model to represent the effects of water and soil. With the result of quasi-static analysis, a post-tensioning design was implemented by applying prestressing steel, and CCSS showed sufficient rigidity. From the natural frequency analysis, CCSS has a dynamic structural stability, and, in response spectrum and time-history analyses, the CCSS was safe enough under the earthquake loads. The methods and conclusions of this study can provide a theoretical reference for the structural analysis and design of concrete support structures for offshore wind turbines.

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