Isogeometric analysis and Genetic Algorithm for shape-adaptive composite marine propellers

Herath, Manudha T.; Natarajan, Sundararajan; Prusty, B. Gangadhara; John, Nigel A. St

doi:10.1016/j.cma.2014.10.028

Cited by 49 publications

(8 citation statements)

References 43 publications

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“…The distance metric is described by Smith and Coit [32] as a means of determining the closeness of a solution to feasibility. Other penalty methods exist which apply a linear penalisation or take a power law approach to the problem (such as those outlined by Herath et al [33]), but the exponential function method worked well for this study. A legality constraint is applied to the stresses in the blade laminates.…”

Section: Objective Functionmentioning

confidence: 99%

Physical experimental static testing and structural design optimisation for a composite wind turbine blade

Fagan

Flanagan

Leen

et al. 2017

Composite Structures

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This study presents experimental testing on a 13 m long glass-fibre epoxy composite wind turbine blade. The results of the test were used to calibrate finite element models. A design optimisation study was then performed using a genetic algorithm. The goal of the optimisation was to minimise the material used in blade construction and, thereby, reduce the manufacturing costs. The thickness distribution of the composite materials and the internal structural layout of the blade were considered for optimisation. Constraints were placed on the objective based on the stiffness of the blade and the blade surface stresses. A variable penalty function was used with limits derived from the blade test and the structural layout of the turbine. The model shows good correspondence to the test results (blade mass within 6% and deflection within 9%) and the differences between test and model are discussed in detail. The genetic algorithm resulted in five optimal blade designs, showing a reduction in mass up to 24%. Structural modelling in combination with numerical search algorithms provide a powerful tool for designers and demonstrates that the reader can have confidence in the claimed potential savings when the reference blade models are calibrated against physical test data.

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Section: Objective Functionmentioning

confidence: 99%

Physical experimental static testing and structural design optimisation for a composite wind turbine blade

Fagan

Flanagan

Leen

et al. 2017

Composite Structures

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“…In addition, NURBS has other advantages in comparison to polygonal meshing, e.g., faster generation, and lower processing load. A remarkable number of studies have been recently performed by using the NURBS formulation, e.g., for propellers [34,35], optimum design of steam and wind turbine blades [36][37][38], gas-turbine blades [39] and airfoils [40,41]. The studies carried out using the NURBS technique have shown satisfactory agreement with experimental results.…”

Section: Introductionmentioning

confidence: 88%

Numerical investigation of wet inflow in steam turbine cascades using NURBS-based mesh generation method

Ebrahimi-Fizik

Lakzian

Hashemian

2020

International Communications in Heat and Mass Transfer

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“…Representative works of such studies can be found in Benzaken et al [Benzaken, Herrema, Hsu et al (2017)] and Herrema et al [Herrema, Wiese, Darling et al (2017)], where a surrogate model technique and a generalized pattern search algorithm, respectively, are adopted to optimize the wind turbine blades (see Fig. 6(c)) with complex geometries, Kostas et al [Kostas, Ginnis, Politis et al (2015)] where evolutionary algorithms are utilized to optimize ship-hull shape, Herath et al [Herath, Natarajan, Prusty et al (2015); Kostas, Ginnis, Politis et al (2017); Kostas, Fyrillas, Politis et al (2018)] with genetic algorithms, Lieu et al [Lieu, Lee, Lee et al (2018); Lieu and Lee (2019)] with an adaptive hybrid evolutionary firefly algorithm, Wang et al [Wang, Yu, Shao et al(2018)] with a chaotic particle swarm optimization method, and Zhang et al [Zhang, Li, Shen et al (2019)] with multi-island genetic algorithm and adaptive simulated annealing methods.…”

Section: Gradient-free Optimization Methodsmentioning

confidence: 99%

Structural Design Optimization Using Isogeometric Analysis: A Comprehensive Review

Wang¹,

Wang²,

Xia³

et al. 2018

CMES

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Isogeometric analysis (IGA), an approach that integrates CAE into conventional CAD design tools, has been used in structural optimization for 10 years, with plenty of excellent research results. This paper provides a comprehensive review on isogeometric shape and topology optimization, with a brief coverage of size optimization. For isogeometric shape optimization, attention is focused on the parametrization methods, mesh updating schemes and shape sensitivity analyses. Some interesting observations, e.g. the popularity of using direct (differential) method for shape sensitivity analysis and the possibility of developing a large scale, seamlessly integrated analysis-design platform, are discussed in the framework of isogeometric shape optimization. For isogeometric topology optimization (ITO), we discuss different types of ITOs, e.g. ITO using SIMP (Solid Isotropic Material with Penalization) method, ITO using level set method, ITO using moving morphable components (MMC), ITO with phase field model, etc., their technical details and applications such as the spline filter, multi-resolution approach, multi-material problems and stress constrained problems. In addition to the review in the last 10 years, the current developmental trend of isogeometric structural optimization is discussed.

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Isogeometric analysis and Genetic Algorithm for shape-adaptive composite marine propellers

Cited by 49 publications

References 43 publications

Physical experimental static testing and structural design optimisation for a composite wind turbine blade

Physical experimental static testing and structural design optimisation for a composite wind turbine blade

Numerical investigation of wet inflow in steam turbine cascades using NURBS-based mesh generation method

Structural Design Optimization Using Isogeometric Analysis: A Comprehensive Review

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