Structural optimization of jacket supporting structures for offshore wind turbines using colliding bodies optimization algorithm

Kaveh, A.; Sabeti, Sepehr

doi:10.1002/tal.1494

Cited by 23 publications

(11 citation statements)

References 24 publications

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“…25 rived gradients. Other optimization approaches using meta-heuristic algorithms were reported by AlHamaydeh et al (2017) and Kaveh and Sabeti (2018), however, without realistic load assumptions. The problem of discrete design variables was addressed by Stolpe and Sandal (2018).…”

Section: Introductionmentioning

confidence: 99%

A comparison study on jacket substructures for offshore wind turbines based on optimization

Häfele¹,

Gebhardt²,

Rolfes³

2018

Preprint

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Abstract. The structural optimization problem of jacket substructures for offshore wind turbines is commonly considered as a pure tube dimensioning problem with given topology, minimizing the entire mass of the structure. However, this approach goes along with the assumption that the given topology is fixed in any case. The present work contributes to the improvement of the state of the art by utilizing more detailed models for geometry, costs, and structural design code checks. They are assembled in an optimization scheme, in order to consider the jacket optimization problem from a different point of view 5 that is closer to practical applications. The objective function is replaced by a sum term comprising several cost terms. To address the issue of high demand of numerical capacity, a machine learning approach based on Gaussian process regression is applied to reduce numerical cost and enhance the number of considered design load cases. The proposed approach is meant to provide decision guidance in the first phase of wind farm planning. A numerical example for a NREL 5 MW turbine under FINO3 environmental conditions is computed by two effective optimization methods (sequential quadratic programming and 10 an interior-point method), allowing for the estimation of characteristic design variables of a jacket substructure. In order to resolve the mixed-integer problem formulation, multiple subproblems with fixed integer design variables are solved. The approach shows reasonable and promising results, useful both for further research and technical applications.

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Section: Introductionmentioning

confidence: 99%

A comparison study on jacket substructures for offshore wind turbines based on optimization

Häfele¹,

Gebhardt²,

Rolfes³

2018

Preprint

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“…Statistical results of the MLP-CBO indicate significantly lower error in prediction of V H * in comparison with those of Equations (28) and (29) (Table 4). Equation (28) was found to be the best model among other equations.…”

Section: Comparison Analysismentioning

confidence: 87%

“…The physical conceptions of energy and momentum were utilized to define the CBO [27]. The CBO has been widely utilized in the field of mathematical sciences, structural optimization problems, benchmark functions, power engineering, and image processing [28][29][30]. The algorithm is simple and does not rely on any internal parameters [30].…”

Section: Introductionmentioning

confidence: 99%

Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm

Ehteram

Ahmed

Ling

et al. 2020

Water

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In this research, the advanced multilayer perceptron (MLP) models are utilized to predict the free rate of expansion that usually occurs around the pipeline (PL) because of waves. The MLP model was structured by integrating it with three optimization algorithms: particle swarm optimization (PSO), whale algorithm (WA), and colliding bodies’ optimization (CBO). The sediment size, wave characteristics, and PL geometry were used as the inputs for the applied models. Moreover, the scour rate, vertical scour rate along the pipeline, and scour rate at both right and left sides of the pipeline were predicted as the model outputs. Results of the three suggested models, MLP-CBO, MLP-WA, and MLP-PSO, for both testing and training sessions were assessed based on different statistical indices. The results indicated that the MLP-CBO model performed better in comparison to the MLP-PSO, MLP-WA, regression, and empirical models. The MLP-CBO can be used as a powerful soft-computing model for predictions.

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“…Optimal nonlinear analysis and design of double-layer grids are advanced by Kaveh and Moradveisi [50] also using CBO. Optimal large-scale space steel frames [51], structural optimization of jacket supporting structures for offshore wind turbines [52] and continuous and discrete optimization for design [53] also are problems which are solved using CBO. There are MATLAB codes, outlines, and examples of CBO in [54] for enthusiasts.…”

Section: Adaptive Finite Element Methodsmentioning

confidence: 99%

A New Nodal Stress Recovery Technique in Finite Element Method Using Colliding Bodies Optimization Algorithm

Kaveh

Seddighian

2019

Period. Polytech. Civil Eng.

Self Cite

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In Finite Element Method (FEM), the stress components are calculated within the elements firstly, and then these components are recovered to the nodes. For the recovery process, there are several well-known methods in which the increase of their accuracy imposes additional costs into the problem. In this paper, a new nodal stress recovery technique is proposed in which Colliding Bodies Optimization (CBO) Algorithm fits an appropriative function for nodal stress fields. The CBO employs this function to compute the stress components in the nodal coordinates. Therefore, a particular model to stress fields and its components will be available. It can be considered as a connection between analytical approaches and numerical methods, providing benefits of both categories. Finally, the accuracy, efficiency, and applicability of the new technique are investigated employing three diverse examples.

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Structural optimization of jacket supporting structures for offshore wind turbines using colliding bodies optimization algorithm

Cited by 23 publications

References 24 publications

A comparison study on jacket substructures for offshore wind turbines based on optimization

A comparison study on jacket substructures for offshore wind turbines based on optimization

Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm

A New Nodal Stress Recovery Technique in Finite Element Method Using Colliding Bodies Optimization Algorithm

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