Hydrodynamic shape optimization by high fidelity CFD solver and Gaussian process based response surface method

Coppedé, Antonio; Gaggero, Stefano; Vernengo, Giuliano; Villa, Diego

doi:10.1016/j.apor.2019.05.026

Cited by 56 publications

(36 citation statements)

References 36 publications

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“…Moreover, any optimization process is based on the relative merits of one configuration with respect to the others, making the absolute accuracy less relevant than the uncertainty of the calculation to drive the process to convergence. A recent paper [39] highlighted exactly this aspect, since it showed for a very similar ship optimization problem that the relative performance differences among several hull shapes remained almost unchanged (at least in terms of their ranking) even if a quite coarse grid is adopted for the analyses. Using the proposed coarse grid, then, is reasonable to be adopted to drive the optimization loop.…”

Section: Flow Solvermentioning

confidence: 99%

“…Figure 7, for instance, shows possible FFD zones (the blue FF polygons applied to the surface of the hull) encompassing both large portions of the hull as well as local details such as the stern or the bow, realizable with the developed tool; however, rather than modifying directly the points of the subdivision surface, the FFD is applied to its control polygon through which the surface is reconstructed each time. This permits a more reliable and easy handling of the deformation, as presented in [32,39].…”

Section: Surface Definition and Deformationmentioning

confidence: 99%

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An Effective Mesh Deformation Approach for Hull Shape Design by Optimization

Villa

Furcas

Pralits

et al. 2021

JMSE

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A method for the morphing of surface/volume meshes suitable to be used in hydrodynamic shape optimization is proposed. Built in the OpenFOAM environment, it relies on a Laplace equation that propagates the modifications of the surface boundaries, realized by applying a free-form deformation to a subdivision surface description of the geometry, into the computational volume mesh initially built through a combination of BlockMesh with cfMesh. The feasibility and robustness of this mesh morphing technique, used as a computationally efficient pre-processing tool, is demonstrated in the case of the resistance minimization of the DTC hull. All the hull variations generated within a relatively large design space are efficiently and successfully realized, i.e., without mesh inconsistencies and quality issues, only by deforming the initial mesh of the reference geometry. Coupled with a surrogate model approach, a significant reduction in the calm water resistance, in the extent of 10%, has been achieved in a reasonable computational time.

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Section: Flow Solvermentioning

confidence: 99%

Section: Surface Definition and Deformationmentioning

confidence: 99%

An Effective Mesh Deformation Approach for Hull Shape Design by Optimization

Villa

Furcas

Pralits

et al. 2021

JMSE

Self Cite

View full text Add to dashboard Cite

show abstract

“…Additive and/or multiplicative correction methods, also known as "bridge functions" [11,12], can be used to build MF metamodels. Several metamodels have been used in the literature with MF data, such as non-intrusive polynomial chaos [13], Gaussian process [14], co-kriging [15] and stochastic radial basis functions [16]. In CFD-based analysis/optimization, different fidelity levels may be obtained by varying the physical model (e.g.…”

Section: Introductionmentioning

confidence: 99%

Adaptive N-Fidelity Metamodels for Noisy CFD Data

Wackers

Visonneau

Ficini

et al. 2020

Aiaa Aviation 2020 Forum

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An adaptive-fidelity approach to metamodeling from noisy data is presented for designspace exploration and design optimization. Computational fluid dynamics (CFD) simulations with different numerical accuracy (spatial discretization) provides metamodel training sets affected by unavoidable numerical noise. The-fidelity approximation is built by an additive correction of a low-fidelity metamodel with metamodels of differences (errors) between higherfidelity levels whose hierarchy needs to be provided. The approach encompasses two core metamodeling techniques, namely: i) stochastic radial-basis functions (SRBF) and ii) Gaussian process (GP). The adaptivity stems from the sequential training procedure and the auto-tuning capabilities of the metamodels. The method is demonstrated for an analytical test problem and a CFD-based optimization of a NACA airfoil, where the fidelity levels are defined by an adaptive grid refinement technique of a Reynolds-averaged Navier-Stokes (RANS) solver. The paper discusses: i) the effect of using more than two fidelity levels; ii) the use of least squares regression as opposed to exact interpolation; iii) the comparison between SRBF and GP; and iv) the use of two sampling approaches for GP. Results show that in presence of noise, the use of more than two fidelity levels improves the model accuracy with a significant reduction of the number of high-fidelity evaluations. Both least squares SRBF and GP provide promising results in dealing with noisy data.

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“…Michell's integral and lifting line theory were respectively employed for optimization of the hull-propeller interaction system. Coppedè et al [33] investigated a CAD-based optimization tool for improvement of calm water performance of KCS model. They used FFD method for geometric parametrization and CFD solver for resistance calculation.…”

Section: Introductionmentioning

confidence: 99%

Automated CFD-based optimization of inverted bow shape of a trimaran ship: Proposing an applicable and efficient optimization platform

Nazemian

Ghadimi

2020

Scientia Iranica

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This paper investigates the improvement of bow region of a trimaran ship hull, proposing a CFD-based automated approach to reduce total resistance. Two main goals are pursued; to create and develop a useful optimization platform for ship hull modification, and then investigate the influence of different inverted bow on hydrodynamic performance of trimaran ship. A wave-piercing bow trimaran hull is the baseline design. Ship bow is redesigned by Arbitrary Shape Deformation (ASD) technique that defines the input variables for optimization process. The objective function is the drag force and this study is conducted at cruise speed. To accomplish this task, two optimization methods are sequentially applied. A Latin Hypercube Sampling tool distributes design points and an RBF-based surrogated model is constructed to investigate system behavior. Final optimum design in Design of Experiment (DOE) study is introduced to direct optimization SHERPA algorithm. Integration of CFD solver, geometric parametrization, and optimizer tool is managed by HEEDS MDO package with a multi-connection approach. Optimization results show successful optimization along with 10.2% resistance reduction. Comparison between initial and optimized hull demonstrates that the proposed optimization platform can be used for ship hull optimization in industrial application with significantly reduced computational time and effort.

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Hydrodynamic shape optimization by high fidelity CFD solver and Gaussian process based response surface method

Cited by 56 publications

References 36 publications

An Effective Mesh Deformation Approach for Hull Shape Design by Optimization

An Effective Mesh Deformation Approach for Hull Shape Design by Optimization

Adaptive N-Fidelity Metamodels for Noisy CFD Data

Automated CFD-based optimization of inverted bow shape of a trimaran ship: Proposing an applicable and efficient optimization platform

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