CN104951613A - Railway tamping parameter optimized design method based on response surface model - Google Patents
Railway tamping parameter optimized design method based on response surface model Download PDFInfo
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Abstract
The invention relates to a railway tamping parameter optimized design method, in particular to a railway tamping parameter optimized design method based on a response surface model. The method includes the steps that a discrete element analysis model of railway tamping is established; a tamping index, an optimization objective of the tamping index, a tamping parameter and design space of the tamping parameter are determined; test sample points are selected; analytical computation is performed, and a tamping index response value is extracted; a polynomial response surface model is established; a tamping index optimization value and a tamping parameter optimization value corresponding to the tamping index optimization value are searched for; check analysis is performed on the tamping parameter optimization value. The method aims at railway tracks under different conditions, numerical simulation and analytical calculation are performed on a small number of selected test sample points, the optimum tamping parameter can be obtained, and the optimization efficiency and the optimization precision of the tamping parameter are improved.
Description
Technical field
The present invention relates to a kind of railway and make method for optimally designing parameters firm by ramming, particularly relate to a kind of railway based on response surface model and make method for optimally designing parameters firm by ramming.
Background technology
Railway tamping operation is one of key operation having tiny fragments of stone, coal, etc. railway maintenance and maintenance, is clamped by the railway ballast of tamping pickaxe to railway ballast in tamping tool and is vibrated, and improves the packing of railway roadbed, increases the stability of track, ensures the security of operation of train.
Practice shows, the quality of tamping result depends primarily on the selection of making parameter firm by ramming, and the railroad track of different situation is different to the requirement of making parameter firm by ramming, and therefore for the railroad track of different situation, the optimization carrying out making firm by ramming parameter just seems extremely important.At present, usually adopt relative method to the optimization of making parameter firm by ramming, namely designer is according to correlation experience, arranges the parameter combinations of some to carry out numerical simulation and analytical calculation, therefrom selects a best parameter combinations.This method, in order to improve optimization precision, require to arrange parameter combinations as much as possible to carry out numerical simulation and analytical calculation, require a great deal of time and energy, optimization efficiency is lower, and cannot ensure that optimum parameter combinations fixes in the parameter combinations be arranged with regard to one, namely optimize precision and can not be guaranteed.
Summary of the invention
The invention provides a kind of railway based on response surface model and make method for optimally designing parameters firm by ramming, for addressing the deficiencies of the prior art, caused parameter optimization efficiency comparison of making firm by ramming is low and optimize the problem that precision can not be guaranteed.
Technical scheme of the present invention is: method for optimally designing parameters made firm by ramming by a kind of railway based on response surface model, and the concrete steps of described method are as follows:
Step1, actual state according to railroad track, use the analytical model that DEM analysis software creation railway is made firm by ramming;
Step2, determine to embody railway tamping result make index and optimization aim thereof firm by ramming, and determine to have a significant effect to tamping result make parameter and design space thereof firm by ramming;
Step3, the design space determined according to step Step2, service test method for designing, chooses the test sample point that railway is made firm by ramming;
Step4, the test sample point chosen according to step Step3, use DEM analysis method to carry out analytical calculation to the analytical model that step Step1 creates, and that extracts embodiment railway tamping result makes index response firm by ramming;
Step5, the response obtained according to step Step4, use regression analysis, sets up the polynomial response surface model that reflection is made index firm by ramming and made relation between parameter firm by ramming;
Step6, the polynomial response surface model created according to step Step5 and the optimization aim determined of step Step2, use genetic algorithm, find make firm by ramming index optimum time make firm by ramming index optimization value and corresponding thereto make parameter optimization value firm by ramming;
Step7, obtain according to step Step6 make parameter optimization value firm by ramming, analytical calculation is carried out to the analytical model that step Step1 creates, index response is made in extraction firm by ramming, if index response and step Step6 obtain that to make index optimization value firm by ramming more identical for making firm by ramming of extracting, then meets the demands, optimizing process terminates, export optimum results, otherwise, get back to step Step5 and rebuild polynomial response surface model, proceed to optimize, until meet the demands.
The actual state of described railroad track, comprises the specification of rail and sleeper, sleeper pitch, the material of railway ballast particle, size and grating, the blast bed compactness before tamping operation.
Described index of making firm by ramming makes the blast bed compactness below the sleeper of region firm by ramming, described optimization aim is that blast bed compactness is the bigger the better, described parameter of making firm by ramming is the amplitude of tamping pickaxe and the vibration frequency of tamping pickaxe, described design space is that the amplitude of tamping pickaxe changes within the scope of 1 ~ 13mm, and the vibration frequency of tamping pickaxe changes within the scope of 5 ~ 65Hz.
The invention has the beneficial effects as follows: have employed above-mentioned a kind of railway based on response surface model and make method for optimally designing parameters firm by ramming, for the railroad track of different situation, a small amount of several test sample points are selected to carry out numerical simulation and analytical calculation, what just can obtain optimum makes parameter firm by ramming, improves the optimization efficiency and optimization precision of making parameter firm by ramming.
Accompanying drawing explanation
Fig. 1 is that method for optimally designing parameters process flow diagram made firm by ramming by railway of the present invention;
Fig. 2 is blast bed compactness response surface design figure of the present invention.
Embodiment
Embodiment 1: as shown in Figure 1-2, method for optimally designing parameters made firm by ramming by a kind of railway based on response surface model, and the concrete steps of described method are as follows:
Step1, actual state according to railroad track, use the analytical model that DEM analysis software creation railway is made firm by ramming;
Step2, determine to embody railway tamping result make index and optimization aim thereof firm by ramming, and determine to have a significant effect to tamping result make parameter and design space thereof firm by ramming;
Step3, the design space determined according to step Step2, service test method for designing, chooses the test sample point that railway is made firm by ramming;
Step4, the test sample point chosen according to step Step3, use DEM analysis method to carry out analytical calculation to the analytical model that step Step1 creates, and that extracts embodiment railway tamping result makes index response firm by ramming;
Step5, the response obtained according to step Step4, use regression analysis, sets up the polynomial response surface model that reflection is made index firm by ramming and made relation between parameter firm by ramming;
Step6, the polynomial response surface model created according to step Step5 and the optimization aim determined of step Step2, use genetic algorithm, find make firm by ramming index optimum time make firm by ramming index optimization value and corresponding thereto make parameter optimization value firm by ramming;
Step7, obtain according to step Step6 make parameter optimization value firm by ramming, analytical calculation is carried out to the analytical model that step Step1 creates, index response is made in extraction firm by ramming, if index response and step Step6 obtain that to make index optimization value firm by ramming more identical for making firm by ramming of extracting, then meets the demands, optimizing process terminates, export optimum results, otherwise, get back to step Step5 and rebuild polynomial response surface model, proceed to optimize, until meet the demands.
The actual state of described railroad track, comprises the specification of rail and sleeper, sleeper pitch, the material of railway ballast particle, size and grating, the blast bed compactness before tamping operation.
Described index of making firm by ramming makes the blast bed compactness below the sleeper of region firm by ramming, described optimization aim is that blast bed compactness is the bigger the better, described parameter of making firm by ramming is the amplitude of tamping pickaxe and the vibration frequency of tamping pickaxe, described design space is that the amplitude of tamping pickaxe changes within the scope of 1 ~ 13mm, and the vibration frequency of tamping pickaxe changes within the scope of 5 ~ 65Hz.
Embodiment 2: as shown in Figure 1-2, method for optimally designing parameters made firm by ramming by a kind of railway based on response surface model, and the concrete steps of described method are as follows:
Step1, actual state according to railroad track, use the analytical model that DEM analysis software creation railway is made firm by ramming;
Step2, determine to embody railway tamping result make index and optimization aim thereof firm by ramming, and determine to have a significant effect to tamping result make parameter and design space thereof firm by ramming;
Step3, the design space determined according to step Step2, service test method for designing, chooses the test sample point that railway is made firm by ramming;
Step4, the test sample point chosen according to step Step3, use DEM analysis method to carry out analytical calculation to the analytical model that step Step1 creates, and that extracts embodiment railway tamping result makes index response firm by ramming;
Step5, the response obtained according to step Step4, use regression analysis, sets up the polynomial response surface model that reflection is made index firm by ramming and made relation between parameter firm by ramming;
Step6, the polynomial response surface model created according to step Step5 and the optimization aim determined of step Step2, use genetic algorithm, find make firm by ramming index optimum time make firm by ramming index optimization value and corresponding thereto make parameter optimization value firm by ramming;
Step7, obtain according to step Step6 make parameter optimization value firm by ramming, analytical calculation is carried out to the analytical model that step Step1 creates, index response is made in extraction firm by ramming, if index response and step Step6 obtain that to make index optimization value firm by ramming more identical for making firm by ramming of extracting, then meets the demands, optimizing process terminates, export optimum results, otherwise, get back to step Step5 and rebuild polynomial response surface model, proceed to optimize, until meet the demands.
The actual state of described railroad track, comprises the specification of rail and sleeper, sleeper pitch, the material of railway ballast particle, size and grating, the blast bed compactness before tamping operation.
Embodiment 3: as shown in Figure 1-2, method for optimally designing parameters made firm by ramming by a kind of railway based on response surface model, and the concrete steps of described method are as follows:
Step1, actual state according to railroad track, use the analytical model that DEM analysis software creation railway is made firm by ramming;
Step2, determine to embody railway tamping result make index and optimization aim thereof firm by ramming, and determine to have a significant effect to tamping result make parameter and design space thereof firm by ramming;
Step3, the design space determined according to step Step2, service test method for designing, chooses the test sample point that railway is made firm by ramming;
Step4, the test sample point chosen according to step Step3, use DEM analysis method to carry out analytical calculation to the analytical model that step Step1 creates, and that extracts embodiment railway tamping result makes index response firm by ramming;
Step5, the response obtained according to step Step4, use regression analysis, sets up the polynomial response surface model that reflection is made index firm by ramming and made relation between parameter firm by ramming;
Step6, the polynomial response surface model created according to step Step5 and the optimization aim determined of step Step2, use genetic algorithm, find make firm by ramming index optimum time make firm by ramming index optimization value and corresponding thereto make parameter optimization value firm by ramming;
Step7, obtain according to step Step6 make parameter optimization value firm by ramming, analytical calculation is carried out to the analytical model that step Step1 creates, index response is made in extraction firm by ramming, if index response and step Step6 obtain that to make index optimization value firm by ramming more identical for making firm by ramming of extracting, then meets the demands, optimizing process terminates, export optimum results, otherwise, get back to step Step5 and rebuild polynomial response surface model, proceed to optimize, until meet the demands.
Described index of making firm by ramming makes the blast bed compactness below the sleeper of region firm by ramming, described optimization aim is that blast bed compactness is the bigger the better, described parameter of making firm by ramming is the amplitude of tamping pickaxe and the vibration frequency of tamping pickaxe, described design space is that the amplitude of tamping pickaxe changes within the scope of 1 ~ 13mm, and the vibration frequency of tamping pickaxe changes within the scope of 5 ~ 65Hz.
Embodiment 4: as shown in Figure 1-2, method for optimally designing parameters made firm by ramming by a kind of railway based on response surface model, and the concrete steps of described method are as follows:
Step1, actual state according to railroad track, use the analytical model that DEM analysis software creation railway is made firm by ramming;
Step2, determine to embody railway tamping result make index and optimization aim thereof firm by ramming, and determine to have a significant effect to tamping result make parameter and design space thereof firm by ramming;
Step3, the design space determined according to step Step2, service test method for designing, chooses the test sample point that railway is made firm by ramming;
Step4, the test sample point chosen according to step Step3, use DEM analysis method to carry out analytical calculation to the analytical model that step Step1 creates, and that extracts embodiment railway tamping result makes index response firm by ramming;
Step5, the response obtained according to step Step4, use regression analysis, sets up the polynomial response surface model that reflection is made index firm by ramming and made relation between parameter firm by ramming;
Step6, the polynomial response surface model created according to step Step5 and the optimization aim determined of step Step2, use genetic algorithm, find make firm by ramming index optimum time make firm by ramming index optimization value and corresponding thereto make parameter optimization value firm by ramming;
Step7, obtain according to step Step6 make parameter optimization value firm by ramming, analytical calculation is carried out to the analytical model that step Step1 creates, index response is made in extraction firm by ramming, if index response and step Step6 obtain that to make index optimization value firm by ramming more identical for making firm by ramming of extracting, then meets the demands, optimizing process terminates, export optimum results, otherwise, get back to step Step5 and rebuild polynomial response surface model, proceed to optimize, until meet the demands.
Embodiment 5: as shown in Figure 1-2, method for optimally designing parameters made firm by ramming by a kind of railway based on response surface model, and the concrete steps of described method are as follows:
(1) according to the actual state of railroad track, the model selecting rail is 60kg/m, and the model of sleeper is II type concrete sleeper, and the spacing of sleeper is 570mm, and the material of railway ballast is grouan, and the density of railway ballast is 2600kg/m
3, the particle diameter size of railway ballast is respectively 35mm, 45mm, 55mm, wherein 35mm account for 30%, 45mm account for 50%, 55mm account for 20%, the blast bed compactness before tamping operation is 0.595, uses the analytical model that DEM analysis software creation railway is made firm by ramming;
(2) determine that the index of making firm by ramming embodying railway tamping result is make the blast bed compactness below the sleeper of region firm by ramming, the optimization aim of making parameter firm by ramming is that blast bed compactness is the bigger the better, determine have the parameter of making firm by ramming of considerable influence to be the amplitude of tamping pickaxe and the vibration frequency of tamping pickaxe to tamping result, the design space determining to make firm by ramming parameter is that the amplitude of tamping pickaxe changes within the scope of 1 ~ 13mm, and the vibration frequency of tamping pickaxe changes within the scope of 5 ~ 65Hz.
(3) according to the design space determined, use Central Composite test design method, choose the test sample point that railway is made firm by ramming, as shown in table 1;
(4) according to the test sample point that table 1 is chosen, use DEM analysis method to carry out analytical calculation to the analytical model created, extract the blast bed compactness response embodying railway tamping result, as shown in table 1;
Table 1
(5) according to the response that table 1 obtains, use regression analysis, set up the second order regression equation of the polynomial response surface model reflecting blast bed compactness and make relation between parameter firm by ramming, as shown in Equation 1;
(1)
According to the second order regression equation of the polynomial response surface model of gained, the blast bed compactness response surface design figure reflecting blast bed compactness and make relation between parameter firm by ramming can be drawn, as shown in Figure 2;
(6) according to second order polynomial regression equation and optimization aim, use genetic algorithm, trying to achieve blast bed compactness optimal value is 0.643, and the amplitude of tamping pickaxe is corresponding thereto the vibration frequency of 8.9mm and tamping pickaxe is 42Hz;
(7) vibration frequency being 8.9mm and tamping pickaxe according to the amplitude of tamping pickaxe is 42Hz, DEM analysis method is used to carry out analytical calculation to analytical model, the blast bed compactness extracted is 0.6428, it and blast bed compactness optimal value are 0.643 more identical, therefore meet the demands, optimizing process terminates, and exports optimum results, and the optimum of the amplitude of tamping pickaxe is the vibration frequency of 8.9mm and tamping pickaxe to be 42Hz be the present embodiment makes parameter firm by ramming.
By reference to the accompanying drawings the specific embodiment of the present invention is explained in detail above, but the present invention is not limited to above-mentioned embodiment, in the ken that those of ordinary skill in the art possess, various change can also be made under the prerequisite not departing from present inventive concept.
Claims (3)
1. a method for optimally designing parameters made firm by ramming by the railway based on response surface model, it is characterized in that: the concrete steps of described method are as follows:
Step1, actual state according to railroad track, use the analytical model that DEM analysis software creation railway is made firm by ramming;
Step2, determine to embody railway tamping result make index and optimization aim thereof firm by ramming, and determine to have a significant effect to tamping result make parameter and design space thereof firm by ramming;
Step3, the design space determined according to step Step2, service test method for designing, chooses the test sample point that railway is made firm by ramming;
Step4, the test sample point chosen according to step Step3, use DEM analysis method to carry out analytical calculation to the analytical model that step Step1 creates, and that extracts embodiment railway tamping result makes index response firm by ramming;
Step5, the response obtained according to step Step4, use regression analysis, sets up the polynomial response surface model that reflection is made index firm by ramming and made relation between parameter firm by ramming;
Step6, the polynomial response surface model created according to step Step5 and the optimization aim determined of step Step2, use genetic algorithm, find make firm by ramming index optimum time make firm by ramming index optimization value and corresponding thereto make parameter optimization value firm by ramming;
Step7, obtain according to step Step6 make parameter optimization value firm by ramming, analytical calculation is carried out to the analytical model that step Step1 creates, index response is made in extraction firm by ramming, if index response and step Step6 obtain that to make index optimization value firm by ramming more identical for making firm by ramming of extracting, then meets the demands, optimizing process terminates, export optimum results, otherwise, get back to step Step5 and rebuild polynomial response surface model, proceed to optimize, until meet the demands.
2. method for optimally designing parameters made firm by ramming by the railway based on response surface model according to claim 1, it is characterized in that: the actual state of described railroad track, comprise the specification of rail and sleeper, sleeper pitch, the material of railway ballast particle, size and grating, the blast bed compactness before tamping operation.
3. method for optimally designing parameters made firm by ramming by the railway based on response surface model according to claim 1, it is characterized in that: described index of making firm by ramming makes the blast bed compactness below the sleeper of region firm by ramming, described optimization aim is that blast bed compactness is the bigger the better, described parameter of making firm by ramming is the amplitude of tamping pickaxe and the vibration frequency of tamping pickaxe, described design space is that the amplitude of tamping pickaxe changes within the scope of 1 ~ 13mm, and the vibration frequency of tamping pickaxe changes within the scope of 5 ~ 65Hz.
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CN113642075A (en) * | 2021-08-12 | 2021-11-12 | 北京交通大学 | Method for optimizing tamping depth of ballast track bed-large machine |
CN114676527A (en) * | 2022-04-02 | 2022-06-28 | 中南大学 | Method for acquiring steel rail contour parameters based on discrete element method |
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CN114676527A (en) * | 2022-04-02 | 2022-06-28 | 中南大学 | Method for acquiring steel rail contour parameters based on discrete element method |
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