Method for automatically designing and optimizing railway vertical profile

Abstract

The invention discloses a method for automatically designing and optimizing a railway vertical profile. The method comprises the steps of carrying out ground line smoothening processing to an original ground line, fitting an initial slope to the smoothened ground line, carrying out vertical profile design constraint condition processing to the initial slope, forming a vertical profile automatic slope design scheme, optimizing the vertical profile based on a differential evolution algorithm, setting optimization control parameters, initializing the populations according to the vertical profile automatic slope design scheme, using a target function to assess the advantages and disadvantages of the individual vertical profile scheme, calculating an individual target function value, carrying out evolution among the populations by using a mutation operation, an interlace operation, a restoring operation, setting of railway tunnel and a selecting operation until the final evolution condition is reached, and outputting a vertical profile diagram and a standard check table. The method for automatically designing and optimizing railway vertical profile has the advantages of high automation degree, strong practicality, fast computing speed, and high promotion and application value in design and optimization of the railway vertical profile.

Description

technical field [0001] The invention relates to a railway design method, in particular to an automatic design and optimization method for a railway longitudinal section. Background technique [0002] In the design of railway profile, it is necessary to consider a series of code requirements, customary design rules and other constraint control, which increases the complexity and difficulty of design, and it is easy to ignore or omit some constraint controls, resulting in design errors. Designers completely rely on manual longitudinal section design, and the design speed may be restricted due to differences in design experience and design habits, and the quality of the results has certain random deviations. With the advancement of computer-aided design automation and intelligent research, the research on the optimization method of line profile is also deepening, but the traditional method has the following defects: First, the initial optimization scheme is either given by the ...

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Problems solved by technology

With the advancement of computer-aided design automation and intelligent research, the research on the optimization method of line profile is also deepening, but the traditional method has the following defects: First, the initial optimization scheme is either given by the designer or randomly generated by the computer , and then use the computer to perform simple iterations to obtain the final solution, which is essentially a local optimization process, and the optimization result mainly depends on the quality of the initial solution; the second is that the optimization process only performs simple perturbations on the design variables and does not satisfy the constraints When simply adding penalty items for adjustment, no repair measures are taken to ensure that the profile scheme in the optimization process always meets the requirements of the railway profile design. Some important indicators such as elevation control points cannot be satisfied, and the final optimization results cannot be established. The optimization merit function is thus less convincing

Many factors affect the efficiency and quality of railway profile design

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