Shape optimization of wire-wrapped fuel assembly using Kriging metamodeling technique

Raza, Wasim; Kim, Kwang‐Yong

doi:10.1016/j.nucengdes.2007.10.018

Cited by 28 publications

(6 citation statements)

References 20 publications

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“…Prediction for the objective function at the optimum point by the kriging model shows only 0.341% relative error compared to the calculation by RANS analysis at the same point. As suggested by Ahmad et al, 5) F f increases with d=h while F p decreases. Both of F f and F p decrease as w=h or increases.…”

Section: Resultssupporting

confidence: 57%

“…According to the authors' experience 5) with the kriging model, 20 experimental points are sufficient for the optimization with three design variables. As a result of the optimization, the values of the design variables and the objective function for the optimum geometry with the weighting factor, 100, are compared with those for the reference geometry in Table 3.…”

Section: Resultsmentioning

confidence: 99%

“…Considering the results obtained from the parametric study of Ahmad et al, 5) the ratio of rising channel diameter to the height of the inlet plenum (d=h), the ratio of width to the height of the inlet plenum (w=h), and the angle between two inlet ports () are employed as design variables (Fig. 1).…”

Section: Objective Function and Design Variablesmentioning

confidence: 99%

“…An increase in the angle between the inlet ports and aspect ratio is found to increase the uniformity in flow distribution. However, there has been no trial that introduces systematic optimization techniques 5) in the design of cooling passages of HTGR to find the geometry which maximizes the performance.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Shape Optimization of Inlet Plenum in a PBMR-Type Gas-Cooled Nuclear Reactor

Kim¹,

Lee²

2009

Journal of Nuclear Science and Technology

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Section: Resultssupporting

confidence: 57%

Section: Resultsmentioning

confidence: 99%

Section: Objective Function and Design Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Shape Optimization of Inlet Plenum in a PBMR-Type Gas-Cooled Nuclear Reactor

Kim¹,

Lee²

2009

Journal of Nuclear Science and Technology

Self Cite

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“…Design of meta-models is based on approximations of the exact analysis that are more efficient in calculation and yield insight into the functional relationship between design parameter (x) and the objective functions (y). The use of Kriging is utilized in this paper which has become popular for metamodeling of time consuming simulations in recent years (Jia & Taflanidis, 2013;Raza & Kim, 2008;Venturelli & Benini, 2016). Kriging meta-model converts the deterministic problem into a statistical framework by combing the global model with a local deviation (Kwon & Choi, 2015).…”

Section: Kriging Meta-modelmentioning

confidence: 99%

A kriging based multi objective gray wolf optimization for hydrazine catalyst bed

Meibody¹,

Naseh²,

Ommi³

2019

10.5267/j.esm

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The main aim of this paper is to present a novel multi-objective gray wolf optimization (MOGWO) by utilizing the Kriging meta-model. To this end, surrogate models are used in Multi-Objective Gray Wolf Optimizer as the fitness function. The meta-model is obtained based on exact analysis and numerical simulations. Inheritable Latin Hypercube Design (ILHD) is used as the design of experiments for generation and testing the Kriging model. Then, sensitivity analysis is done to evaluate the effect of design parameter on system responses. The sensitivity analysis leads to appropriate selection of optimization design variables. Hence, the MOGWO algorithm is applied to the problem, the set of non-dominated optimal points are obtained as Pareto Front and one optimal point is selected based on the minimum distance approach. The most important purpose of the methodology is to improve the time consuming in multi-objective optimization problems. In conclusion, for the design of hydrazine catalyst bed was utilized from the proposed methodology. In case, design variables are catalyst bed pellet diameter, loading factor, thrust chamber pressure and Reaction efficiency and objective functions are increasing performance and reducing mass and pressure drop. The results of optimal catalyst bed parameters and also corresponding value of objective functions are shown the performance of methodology in the space propulsion system applications.

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Optimization Design of Flash Structure for Forging Die Based on Kriging-PSO Strategy

Zhou

2010

Lecture Notes in Computer Science

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Shape optimization of wire-wrapped fuel assembly using Kriging metamodeling technique

Cited by 28 publications

References 20 publications

Shape Optimization of Inlet Plenum in a PBMR-Type Gas-Cooled Nuclear Reactor

Shape Optimization of Inlet Plenum in a PBMR-Type Gas-Cooled Nuclear Reactor

A kriging based multi objective gray wolf optimization for hydrazine catalyst bed

Optimization Design of Flash Structure for Forging Die Based on Kriging-PSO Strategy

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