Aerodynamic Shape Optimization of High-Speed Trains

Krajnović, Siniša; Helgason, Eysteinn; Hafsteinsson, Haukur

doi:10.4203/ccp.98.157

Cited by 2 publications

(5 citation statements)

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“…Although many parametric shape design software exist, and could design complex shapes parametrically, tedious operations are needed for these software and secondary developments are usually required for special problems. For aerodynamic shape optimization, Krajnovic et al (2012) present a fully automatic multi-objective shape optimization method for improving the aerodynamic properties of trains, which shows a good idea for nose shape optimization. While the nose shape used in their studies is very simple and may not be used for engineering problems directly.…”

Section: Parametric Design Approachmentioning

confidence: 99%

“…In order to improve the design efficiency of the nose shape and reduce the design cost, a lot of studies have been performed by researchers (Ku et al 2010a;Jongsoo Lee 2008;Krajnovic 2009;Krajnovic et al 2012;Cui et al 2012;Yao et al 2012a;Ku et al 2010b;Vytla et al 2010;Yao et al 2012b). Restricted by the computer technologies and computational methods, early research on the nose shape usually focuses on single-objective optimization approaches for two-dimensional profiles (Ku et al 2010;Jongsoo Lee 2008), which are hard applied to engineering application.…”

Section: Introductionmentioning

confidence: 99%

“…Restricted by the computer technologies and computational methods, early research on the nose shape usually focuses on single-objective optimization approaches for two-dimensional profiles (Ku et al 2010;Jongsoo Lee 2008), which are hard applied to engineering application. In recent years, new progress has been made on three-dimensional nose shape optimization (Krajnovic 2009;Krajnovic et al 2012;Cui et al 2012;Yao et al 2012;Ku et al 2010;Vytla et al 2010;Yao et al 2012Yao et al , 2014. Researches delivered by Krajnovic (Krajnovic 2009;Krajnovic et al 2012), Ku et al (2010), Vytla et al (2010) and Yao (Yao et al 2012, 2014) concentrate on multi-objective optimization of three-dimensional nose, which provide guidance on the real application for the method with DOE and surrogate based modeling.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, new progress has been made on three-dimensional nose shape optimization (Krajnovic 2009;Krajnovic et al 2012;Cui et al 2012;Yao et al 2012;Ku et al 2010;Vytla et al 2010;Yao et al 2012Yao et al , 2014. Researches delivered by Krajnovic (Krajnovic 2009;Krajnovic et al 2012), Ku et al (2010), Vytla et al (2010) and Yao (Yao et al 2012, 2014) concentrate on multi-objective optimization of three-dimensional nose, which provide guidance on the real application for the method with DOE and surrogate based modeling. However, most researches are limited in the already existing shape (Yao et al 2012a(Yao et al , 2014 or very simplified shape (Krajnovic 2009;Krajnovic et al 2012;Ku et al 2010a;Vytla et al 2010), and seldom relate to automatic design (Krajnovic et al 2012) and optimization of the nose shape, which is the key problem when designing a new nose shape of high speed trains.…”

Section: Introductionmentioning

confidence: 99%

“…Researches delivered by Krajnovic (Krajnovic 2009;Krajnovic et al 2012), Ku et al (2010), Vytla et al (2010) and Yao (Yao et al 2012, 2014) concentrate on multi-objective optimization of three-dimensional nose, which provide guidance on the real application for the method with DOE and surrogate based modeling. However, most researches are limited in the already existing shape (Yao et al 2012a(Yao et al , 2014 or very simplified shape (Krajnovic 2009;Krajnovic et al 2012;Ku et al 2010a;Vytla et al 2010), and seldom relate to automatic design (Krajnovic et al 2012) and optimization of the nose shape, which is the key problem when designing a new nose shape of high speed trains. In order to solve this problem, by combining the VMF parametric method, NURBS curves and discrete control point method, a parametric method to the nose shape has been proposed, which can deform the nose shape automatically.…”

Section: Introductionmentioning

confidence: 99%

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Parametric design and optimization of high speed train nose

et al. 2015

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Aiming at shortening the design period and improve the design efficiency of the nose shape of high speed trains, a parametric shape optimization method is developed for the design of the nose shape has been proposed in the present paper based on the VMF parametric approach, NURBS curves and discrete control point method. 33 design variables have been utilized to control the nose shape, and totally different shapes could be obtained by varying the values of design variables. Based on the above parametric method, multi-objective particle swarm algorithm, CFD numerical simulation and supported vector machine regression model, multi-objective aerodynamic shape optimization has been performed. Results reveal that the parametric shape design method proposed here could precisely describe the three-dimensional nose shape of high speed trains and could be applied to the concept design and optimization of the nose shape. Besides, the SVM regression model based the multi-points criterion could accurately describe the nonlinear relationship between the design variables and objectives, and could be generally utilized in other fields. No matter the simplified model or the real model, the aerodynamic performance of the model after optimization has been greatly improved. Based on the SVR model, the nonlinear relation between the aerodynamic drag and the design variables is obtained, which could provide guidance for the engineering design and optimization.

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Section: Parametric Design Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Parametric design and optimization of high speed train nose

et al. 2015

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Aerodynamic Optimization of the Nose Shape of a Train Using the Adjoint Method

Muñoz-Paniagua

Garcı́a²,

Crespo³

et al. 2015

JAFM

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The adjoint method is used in this paper for the aerodynamic optimization of the nose shape of a train. This method has been extensively applied in aircraft or ground vehicle aerodynamic optimization, but is still in progress in train aerodynamics. Here we consider this innovative optimization method and present its application to reduce the aerodynamic drag when the train is subjected to front wind. The objective of this paper is to demonstrate the effectiveness of the method, highlighting the requirements, limitations and capabilities of it. Furthermore, a significant reduction of the aerodynamic drag in a short number of solver calls is aimed as well. The independence of the computational cost with respect to the number of design variables that define the optimal candidate is stressed as the most interesting characteristic of the adjoint method. This behavior permits a more complete modification of the shape of the train nose because the number of design variables is not a constraint anymore. The information obtained from the sensitivity field permits determining the regions of the geometry where a small modification of the nose shape might introduce a larger improvement of the train performance. A good agreement between this information and the successive geometry modifications is observed here.

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Aerodynamic Shape Optimization of High-Speed Trains

Cited by 2 publications

References 0 publications

Parametric design and optimization of high speed train nose

Parametric design and optimization of high speed train nose

Aerodynamic Optimization of the Nose Shape of a Train Using the Adjoint Method

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