Cylindrical tube optimization using response surface method based on stochastic process

Lee, Sanghoon; Kim, Heon‐Young; Oh, Sang-Ho

doi:10.1016/s0924-0136(02)00794-x

Cited by 46 publications

(12 citation statements)

References 11 publications

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“…In order to obtain an optimum state for three tubes absorbers, response surface method (RSM) [25] was used which is one of the common methods in optimizing the collapse of the energy absorber and has been used in a lot of research, including references [19][20][21][26][27][28][29][30][31]. In all of the above mentioned references the response surface method has predicted acceptable results with small errors.…”

Section: Optimizationmentioning

confidence: 99%

“…Therefore, a multi-objective optimization problem is proposed. On energy absorbers, several methods have been used to optimize the process of collapse [26]. The method selected in this study to optimize the process of collapse in the multi-tube absorbers is on the basis of the project presented first by Derringer and Suich [36].…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

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Optimizing the layout of nested three-tube structures in quasi-static axial collapse

Nia

Chahardoli

2016

Thin-Walled Structures

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Section: Optimizationmentioning

confidence: 99%

Section: Multi-objective Optimizationmentioning

confidence: 99%

Optimizing the layout of nested three-tube structures in quasi-static axial collapse

Nia

Chahardoli

2016

Thin-Walled Structures

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“…The complexity in shape parameterisation is in most of these studies limited; often the height or width of the total cross-section is used, which makes the optimisation closer to a size or scale optimisation than to a real shape optimisation where more freedom is given to the cross-sectional shape, e.g. [21,22].…”

Section: Cross-section Optimisationsmentioning

confidence: 99%

Geometrical compatibility in structural shape optimisation for crashworthiness

Rayamajhi¹,

Hunkeler²,

Duddeck³

2013

International Journal of Crashworthiness

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This paper presents a parametric shape optimisation approach using special parameterisation techniques for shape optimisation of structures with respect to crashworthiness. It is based on SFE CONCEPT which has the ability to modify shape using implicit parameterisation technique and adapt mesh to the new geometry through re-meshing. The success of shape optimisation depends on the type of parameterisation used. It is, therefore, important to choose a set of shape parameters which allow for larger range of shape configurations. However, the difficulty to deal with shape modifications grows with the increasing number of shape variables due to the arising geometrical conflicts. Hence, most shape optimisation studies use limited number of shape variables and also reduced parameter bounds which restrict large shape configurations. Here a new offset mapping technique is used to facilitate the definition of shape parameter conflicts without compromising the design space. To demonstrate this technique, a bumper beam shape optimisation is presented.

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“…In fact, Kriging surrogate model is an interpolate technology. This model has been applied early to solve the complex engineering problems such as those in aeronautics and astronautics (Simpson et al, 1998) and mechanics (Lee et al, 2002). Recently, Huang et al (2006) have used Kriging model to reduce die wear for metalforming process.…”

Section: Kriging Surrogate Modelmentioning

confidence: 99%