Multi-objective optimization decision-making method for energy absorbing structure design of high-speed train

A multi-objective optimization and energy-absorbing structure technology, which is applied in the multi-objective optimization decision-making field of high-speed train energy-absorbing structure design, can solve problems such as the inability to select the optimal solution from the Pareto solution set, and achieve stable results, optimization research, and easy implementation. Effect

Active Publication Date: 2018-12-21
CENT SOUTH UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a kind of multi-objective optimization decision-making method for the design of high-speed t

Method used

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  • Multi-objective optimization decision-making method for energy absorbing structure design of high-speed train
  • Multi-objective optimization decision-making method for energy absorbing structure design of high-speed train
  • Multi-objective optimization decision-making method for energy absorbing structure design of high-speed train

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Embodiment 1

[0105] Taking a multi-cellular thin-walled energy-absorbing structure applied to high-speed trains as an example, it is based on octagonal tubes and surrounded by regular hexagonal tubes to form a five-hole composite honeycomb structure. The regular hexagonal unit cells The side length is 56mm, the length of the upper and lower sides of the octagonal tube is 56mm, the side length is 51mm, the angle between the hypotenuse and the side is 150°, the angle between the upper and lower sides and the hypotenuse is 120°, and the size of the cross section is 280mm×245mm. The thickness of the thin wall of the five-hole energy-absorbing structure is 5mm, and the length is 500mm.

[0106] The nonlinear finite element software LS-DYNA is used for numerical simulation analysis, and the Hypermesh pre-processing software is used to mesh the geometric model of the energy-absorbing structure. figure 2 The finite element model shown is verified by the real vehicle test, and the impact force-ti...

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Abstract

The invention discloses a multi-objective optimization decision-making method for energy absorbing structure design of high-speed train in the field of mechanical structure optimization design, whichcomprises the following steps: determining the type of energy absorbing structure of the train and constructing a finite element model of the energy absorbing structure; Choosing design variables, optimizing objective function and constraint conditions, and fitting finite element model by response surface method, the optimization mathematical model of energy-absorbing structure is obtained. AdoptNSGA- Secondly, the Pareto front noninferior solution set is obtained by optimizing the mathematical model. According to actual working conditions, calculating weights of each optimization objective in the optimization objective function by adopting an optimal worst method; Using GRA-VIKOR integration method performs decision analysis on the Pareto front non-inferior solution set, and combines theweights to determine the optimal solution of the energy-absorbing structure design. The invention solves the ambiguity problem between the diversity of the optimization solution set and the uniqueness of the engineering application scheme, realizes the optimization research on the energy-absorbing structure design of the high-speed train, and has the advantages of simple method, novel method, easy realization and stable result.

Description

technical field [0001] The invention relates to the technical field of mechanical structure optimization design, in particular to a multi-objective optimization decision-making method for energy-absorbing structure design of high-speed trains. Background technique [0002] Train collision accidents will cause serious and inevitable casualties and huge economic losses. With the increase of train speed, the kinetic energy carried by high-speed trains has also increased significantly. In order to protect passengers and drivers in collision accidents, the requirements for energy-absorbing structures at the end of trains are also getting higher and higher. Design and optimize reasonable trains. The end energy-absorbing structure has become a hot issue in the research of train crashworthiness. [0003] With the development of intelligent optimization algorithms, NSGA-II has become the most widely used multi-objective optimization algorithm at present, and finally obtains the Pare...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06Q10/06G06Q50/30
CPCG06F30/15G06F30/23G06F2111/10G06Q10/0637G06Q50/30
Inventor 彭勇张洪浩侯林许平姚曙光孙成名
Owner CENT SOUTH UNIV
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