2018
DOI: 10.1016/j.cma.2018.06.019
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Shape optimization of conductive-media interfaces using an IGA-BEM solver

Abstract: In this paper, we present a method that combines the Boundary Element Method (BEM) with IsoGeometric Analysis (IGA) for numerically solving the system of Boundary Integral Equations (BIE) arising in the context of a 2-D steady-state heat conduction problem across a periodic interface separating two conducting and conforming media. Our approach leads to a fast converging solver that achieves the same level of accuracy for fewer degrees of freedom, when compared with low-order BEM. Additionally, an optimization … Show more

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Cited by 26 publications
(9 citation statements)
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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%
“…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%
“…5) it is evident that, as long as the longitudinal coordinate x of P(x) is different from that of the trailing edge, α = 3π/2 at both the suction and the pressure edge of the wing-cap. Then, (23) gives:…”
Section: τHe Iga-based Kutta Condition and The Flow Near The Trailing Edgementioning
confidence: 99%
“…The additional benefits of IGA, related to the smoothness of the basis in FEM, are well known and described in [17,18]. IGA-enhanced BEM approaches have also gained momentum in recent years with works in different fields, including hydrodynamics [19,20,21], structures [22], heat transfer [23], acoustics [24], etc. IGA applications, due to the nature of the approach, require a geometric representation that is adequately flexible for both modelling and analysis.…”
Section: Introductionmentioning
confidence: 99%
“…So far, shape optimisations based on the IGBEM have been investigated in terms of potential problems (or steady-state heat problems) [11][12][13][14][15], elastostatic problems [16][17][18][19][20][21], including 2D thermoelastic problem [22], and acoustic problems in concern [23][24][25][26][27][28][29]. In regard to 2D, Liu et al [23] performed a shape optimisation of a Γ-shaped sound barrier, where the direct differentiation method (DDM) was employed to compute the sensitivity of the objective function with respect to CPs.…”
Section: Background and Purposementioning
confidence: 99%