CN109297576A - A kind of train wheel rail force load acquisition methods - Google Patents
A kind of train wheel rail force load acquisition methods Download PDFInfo
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- CN109297576A CN109297576A CN201811125874.4A CN201811125874A CN109297576A CN 109297576 A CN109297576 A CN 109297576A CN 201811125874 A CN201811125874 A CN 201811125874A CN 109297576 A CN109297576 A CN 109297576A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/08—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for incorporation in vehicles
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Abstract
The embodiment of the present invention provides a kind of train wheel rail force load acquisition methods, comprising: according to the vibration acceleration time-histories test data of Site Soil test point, obtains the vibration acceleration spectrum measurement data of train；According to vibration acceleration spectrum measurement data and wheel rail force Load Model is referred to, is obtained with reference to the magnitude parameters of each frequency sine power and the initial wheel rail force load of train in wheel rail force Load Model；According to the initial predicted wheel rail force load of train and rail railway roadbed tunnel Site Soil finite element model, the vibration acceleration level prediction data of the test point is obtained；Until the vibration acceleration level prediction data and vibration acceleration spectrum prediction data of acquisition meet preset condition, and using the train of acquisition prediction wheel rail force load as final wheel rail force load.The embodiment of the present invention, which does not need to enter, carries out vibration source strength test job inside subway tunnel, greatly reduce test condition limitation, have very strong operability, and improve computational accuracy.
Description
Technical field
The present embodiments relate to physical technology field more particularly to a kind of train wheel rail force load acquisition methods.
Background technique
In recent years, subway fast development brings serious vibration noise pollution problem, the newly-built vibration in subway line periphery
Being necessary to adopt Finite Element Numerical Simulation method to carry out Subway Vibration first when Sensitive Buildings influences prediction and evaluation, and establishes and meet
The subway train Load Model and input method of actual conditions are to influence the key factor of numerical simulation precision of prediction, Subway Vibration
Source strength spectral characteristic and intensity are influenced by many factors such as vehicle, operating status, line condition, track vibration-reducing measures,
Vibration source strength discreteness is very big, and domestic and foreign scholars propose a variety of subway train Load Models, but to obtain and meet
The accurate train load model of actual conditions nearly all need to rely on subway train operation generate tunnel internal different parts
The Measurement of Vibration data of (rail, railway roadbed, tunnel wall).
Actual measurement vibration accelerated process is using the actual measureed value of acceleration time course data at tunnel-side or road bed position as driving source
By force, it is directly applied to numerical simulation model tunnel-side or road bed position carries out finite element Dynamic time history analysis；And it is based on wheel track
The various wheel rail force models of coupling dynamic interaction theory deduction also need rail vibration acceleration measured data or are based on
The track spectrum that a large amount of measured datas provide is solved.
Therefore Subway Vibration influences numerical simulation calculating firstly the need of development subway tunnel internal vibration source strength test job
Basic data is provided for the application of finite element model load.
Carry out vibration source strength test into tunnel internal to need to carry out communication and consultation with subway relevant departments, it is generally difficult to have
Standby test condition, therefore computing object cannot directly acquire accurate source strength measured data mostly, usually select it is existing its
The source strength data of his similar circuitry carry out approximate solution simulation, the similar train load and reality that this tested person condition limitation obtains
Border situation certainly exists very big difference, to influence numerical prediction precision.
Therefore, a kind of train wheel rail force load acquisition methods of high-precision functionization are needed.
Summary of the invention
The embodiment of the present invention provides a kind of train wheel rail force load acquisition methods, to solve train wheel track in the prior art
The not high problem of power load calculation method precision.
In a first aspect, the embodiment of the present invention provides a kind of train wheel rail force load acquisition methods, comprising:
According to the vibration acceleration time-histories test data of Site Soil test point, the vibration acceleration spectrum measurement of train is obtained
Data, the vibration acceleration time-histories test data are obtained by sensor；
According to the vibration acceleration spectrum measurement data and wheel rail force Load Model is referred to, is obtained described with reference to wheel rail force
The initial predicted wheel rail force load of the magnitude parameters and the train of each frequency sine power in Load Model, it is described to refer to wheel track
Power Load Model is made of the sinusoidal force of several different frequencies；
According to the initial predicted wheel rail force load of the train and rail railway roadbed tunnel Site Soil finite element model, by having
Limit the vibration acceleration time-histories prediction data that first Dynamic time history analysis obtains the test point；
According to the amplitude of each frequency spectrum in the vibration acceleration spectrum measurement data and the vibration acceleration frequency spectrum
The ratio between the amplitude of each frequency spectrum in prediction data joins the amplitude with reference to frequency sine power each in wheel rail force Load Model
Number is modified, and acquisition is revised to refer to wheel rail force Load Model, and again by revised reference wheel rail force Load Model
As the input load of rail railway roadbed tunnel Site Soil finite element model, the vibration acceleration spectrum prediction data according to
The vibration acceleration time-histories prediction data obtains；
It repeats the above steps, until the vibration acceleration level prediction data of acquisition and the vibration acceleration frequency spectrum are pre-
Measured data meets preset condition, and finally determines wheel rail force load.
A kind of train wheel rail force load acquisition methods provided in an embodiment of the present invention, by establishing reference train load mould
Type, it is only necessary to the vibration acceleration time-histories test data of test site soil, so that it may obtain train wheel rail force load, do not need into
Enter to carry out inside subway tunnel vibration source strength test job, greatly reduces test condition limitation, there is very strong operability.
Meanwhile the computational accuracy with reference to wheel rail force Load Model is improved by control the number of iterations.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of flow chart of train wheel rail force load acquisition methods of the embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Fig. 1 is a kind of flow chart of train wheel rail force load acquisition methods of the embodiment of the present invention, as shown in Figure 1, this method
Include:
S1 obtains the vibration acceleration frequency spectrum of train according to the vibration acceleration time-histories test data of Site Soil test point
Test data, the vibration acceleration time-histories test data are obtained by sensor；
S2 according to the vibration acceleration spectrum measurement data and refers to wheel rail force Load Model, obtains described with reference to wheel
The initial predicted wheel rail force load of the magnitude parameters and the train of each frequency sine power, the reference in rail power Load Model
Wheel rail force Load Model is made of the sinusoidal force of several different frequencies；
S3 is obtained according to the initial predicted wheel rail force load of the train and rail railway roadbed tunnel Site Soil finite element model
Take the vibration acceleration time-histories prediction data of the test point；
S4, according to the amplitude of each frequency spectrum in the vibration acceleration spectrum measurement data and vibration acceleration frequency
The ratio between the amplitude for composing each frequency spectrum in prediction data, to the amplitude with reference to frequency sine power each in wheel rail force Load Model
Parameter is modified, and acquisition is revised to refer to wheel rail force Load Model, and refers to wheel rail force Load Model weight for revised
New work is described with reference to wheel rail force Load Model, and the vibration acceleration spectrum prediction data are according to the vibration acceleration time-histories
Prediction data obtains；
S5 repeats the above steps, until the vibration acceleration level prediction data of acquisition and the vibration acceleration frequency spectrum are pre-
Measured data meets preset condition, and the vibration acceleration level prediction data is surveyed prediction data according to the vibration acceleration and obtained
, and wheel rail force load will be predicted as final wheel rail force load, the prediction wheel rail force load is by meeting preset condition
It is obtained with reference to wheel rail force Load Model.
The embodiment of the present invention is illustrated for obtaining subway train wheel rail force load.
By laying acceleration vibrating sensor in proposed Sensitive Buildings Site Soil earth's surface, acceleration vibrating sensor is laid
At proposed building foundation position, when conditions permit, in the uniformly distributed multiple sensors in vertical subway line direction, pass through acceleration
Spend the vibration acceleration time-histories test data that vibrating sensor obtains Site Soil test pointThe vibration acceleration time-histories is surveyed
It tries data and carries out Fourier transformation, obtain the vibration acceleration spectrum measurement data of train
For vibration-testing stage site condition, data, edpth of tunnel and structure size, subway are surveyed to test site
The primary conditions such as route construct rail railway roadbed tunnel Site Soil finite element model.
Then building refers to wheel rail force Load Model F (t), is the sinusoidal force by different frequency with reference to wheel rail force Load Model
Composition, under normal circumstances, the frequency value range of these sinusoidal forces is 0-100HZ, with reference to the frequency in wheel rail force Load Model
Know, but the corresponding amplitude of each frequency be it is unknown, solved.
Then according to previously obtained vibration acceleration spectrum measurement dataWith the reference wheel rail force load mould of foundation
Type F (t), to determine the magnitude parameters with reference to the sinusoidal force of each frequency in wheel rail force Load Model, so that it is determined that initial pre-
Survey wheel rail force load F0(t), by initial predicted wheel rail force load F0(t) rail for applying and being previously obtained as excitation load
In railway roadbed tunnel Site Soil finite element model, the vibration acceleration time-histories prediction data of test point is obtained
It should be noted that because vibration acceleration time-histories prediction data is basic data, AL Acceleration Level and it is subsequent plus
Speed spectrum is all based on what the calculating of Acceleration time course data acquired.So no matter test or finite element numerical calculating directly obtain
What is obtained is Acceleration time course data.
Specifically, wheel rail force Load Model frequency amplitude is carried out according to measured data spectral magnitude distribution characteristics is corresponding.
Then to the vibration acceleration time-histories prediction data of acquisitionFourier transformation is carried out, vibration acceleration frequency is obtained
Compose prediction data
For each frequencies omegai, calculate the amplitude and vibration in vibration acceleration spectrum measurement data before each frequency
The ratio between amplitude in acceleration spectrum prediction data before each frequency repairs reference wheel rail force model according to the ratio
Just, by taking one of frequency as an example, if amplitude of the frequency in vibration acceleration spectrum measurement data is being vibrated with the frequency
The ratio between amplitude in acceleration spectrum prediction data is 2, then becomes the magnitude parameters of the frequency in reference wheel rail force Load Model
It is original 2 times, obtains revised with reference to wheel rail force Load Model.
It is re-used as revised with reference to wheel rail force Load Model with reference to wheel rail force Load Model, repeats step S2 and arrive
S4, until vibration acceleration level prediction data and vibration acceleration spectrum prediction data meet preset condition, and by the column of acquisition
Vehicle predicts wheel rail force load as final wheel rail force load.
A kind of train wheel rail force load acquisition methods provided in an embodiment of the present invention, by establishing reference train load mould
Type, it is only necessary to the vibration acceleration time-histories test data of test site soil, so that it may obtain train wheel rail force load, do not need into
Enter to carry out inside subway tunnel vibration source strength test job, greatly reduces test condition limitation, there is very strong operability.
Meanwhile the computational accuracy with reference to wheel rail force Load Model is improved by control the number of iterations.
On the basis of the above embodiments, it is preferable that described to be tested according to the vibration acceleration time-histories of Site Soil test point
Data obtain the vibration acceleration spectrum measurement data of train, specifically include:
Fourier transformation is carried out to the vibration acceleration time-histories test data, obtains the vibration acceleration spectrum measurement
Data.
Specifically, the transformation between vibration acceleration time-histories test data and vibration acceleration spectrum measurement data is to pass through
What Fourier transformation was realized, it is readily appreciated that ground, vibration acceleration time-histories test data are time domain datas, and vibration acceleration frequency spectrum is surveyed
Trying data is frequency domain data, by Fourier transformation, data easily can be transformed to frequency domain state from horizon state.
On the basis of the above embodiments, it is preferable that it is described with reference to wheel rail force Load Model specific formula is as follows:
Wherein, F (t) indicates that the wheel rail force load of the single wheel t moment of train, M indicate the single wheel of train
The weight of train averagely undertaken, θωIndicate that phase difference, φ (ω) indicate that frequency is the sinusoidal force amplitude of ω, n indicates the vibration
The number of frequency in Acceleration time course time-histories test data.
What train wheel rail force load can be regarded as being made of several frequency difference sinusoidal forces, only each frequency sine
Parameter value before power be it is uncertain, therefore, it is necessary to the ginseng before the sinusoidal force of each frequency is determined by various methods
Numerical value.
On the basis of the above embodiments, it is preferable that the preset condition are as follows:
|(VALy-VALx)/VALy|≤δVAL,
Wherein,Indicate that frequency is ω in the vibration acceleration spectrum measurement dataiAmplitude,Indicate institute
Stating frequency in vibration acceleration spectrum prediction data is ωiAmplitude, VALyIndicate actual measurement vibration acceleration level, the actual measurement vibration
Dynamic AL Acceleration Level is obtained according to the vibration acceleration time-histories test data, VALxIndicate prediction vibration acceleration level, it is described pre-
It surveys vibration acceleration level to be obtained according to the vibration acceleration time-histories prediction data, δωIndicate predetermined frequency error, δVALIt indicates to add
Speed presets error.
For the reference wheel rail force Load Model that a parameter determines, if calculated by this with reference to wheel rail force Load Model
Vibration acceleration spectrum measurement data and vibration acceleration time-histories test data out can satisfy above-mentioned preset condition, explanation
This can reach requirement with reference to computational accuracy of wheel rail force Load Model, otherwise, to the parameter of reference wheel rail force Load Model into
Row amendment, then with it is revised with reference to wheel rail force Load Model recalculate vibration acceleration spectrum measurement data and vibration plus
Speed time-histories test data, until the two parameters meet preset condition.
Specifically, the actual measurement vibration acceleration level and the prediction vibration acceleration level obtain according to the following formula:
Wherein, a0 indicates reference acceleration,Indicate the vibration acceleration time-histories test data,Described in expression
Vibration acceleration time-histories prediction data.
Specifically, a0=10-6m/s2。
The embodiment of the present invention provides a kind of train wheel rail force load acquisition methods, by establishing reference train Load Model,
Only this obtains vibration acceleration level prediction data with reference to wheel rail force Load Model and vibration acceleration spectrum prediction data meet
After preset condition, it could illustrate that the parameter of the reference train Load Model is satisfactory, to improve with reference to wheel rail force lotus
Carry the computational accuracy of model.
Claims (6)
1. a kind of train wheel rail force load acquisition methods characterized by comprising
According to the vibration acceleration time-histories test data of Site Soil test point, the vibration acceleration spectrum measurement number of train is obtained
According to the vibration acceleration time-histories test data is obtained by sensor；
According to the vibration acceleration spectrum measurement data and wheel rail force Load Model is referred to, is obtained described with reference to wheel rail force load
The initial predicted wheel rail force load of the magnitude parameters and the train of each frequency sine power in model, it is described to refer to wheel rail force lotus
Model is carried to be made of the sinusoidal force of several different frequencies；
According to the initial predicted wheel rail force load of the train and rail railway roadbed tunnel Site Soil finite element model, pass through finite element
Dynamic time history analysis obtains the vibration acceleration time-histories prediction data of the test point；
According to the amplitude of each frequency spectrum in the vibration acceleration spectrum measurement data and the vibration acceleration spectrum prediction
The ratio between the amplitude of each frequency spectrum in data, to the magnitude parameters with reference to frequency sine power each in wheel rail force Load Model into
Row amendment, acquisition is revised to refer to wheel rail force Load Model, and is re-used as revised with reference to wheel rail force Load Model
The input load of rail railway roadbed tunnel Site Soil finite element model, the vibration acceleration spectrum prediction data are according to
Vibration acceleration time-histories prediction data obtains；
It repeats the above steps, until the vibration acceleration level prediction data of acquisition and the vibration acceleration spectrum prediction data are full
Sufficient preset condition, the vibration acceleration level prediction data are obtained by the vibration acceleration time-histories prediction data, and final true
Determine wheel rail force load.
2. method according to claim 1, which is characterized in that described to be surveyed according to the vibration acceleration time-histories of Site Soil test point
Data are tried, the vibration acceleration spectrum measurement data of train is obtained, specifically includes:
Fourier transformation is carried out to the vibration acceleration time-histories test data, obtains the vibration acceleration spectrum measurement number
According to.
3. method according to claim 1, which is characterized in that it is described with reference to wheel rail force Load Model specific formula is as follows:
Wherein, F (t) indicates that the wheel rail force load of the single wheel t moment of train, M indicate that the single wheel of train is average
The weight of train undertaken, θωIndicate that phase difference, φ (ω) indicate that frequency is the sinusoidal force amplitude of ω, n indicates that the vibration accelerates
Spend the number of frequency in time-histories time-histories test data.
4. method according to claim 1, which is characterized in that the preset condition are as follows:
Wherein,Indicate that frequency is ω in the vibration acceleration spectrum measurement dataiAmplitude,Indicate the vibration
Frequency is ω in dynamic acceleration spectrum prediction dataiAmplitude, VALyIndicate actual measurement vibration acceleration level, the actual measurement vibration adds
Velocity stage is obtained according to the vibration acceleration time-histories test data, VALxIndicate prediction vibration acceleration level, the pre- vibration measuring
Dynamic AL Acceleration Level is obtained according to the vibration acceleration time-histories prediction data, δωIndicate predetermined frequency error, δVALIndicate acceleration
Default error.
5. method according to claim 4, which is characterized in that the actual measurement vibration acceleration level and prediction vibration accelerate
Degree grade obtains according to the following formula:
Wherein, a0Indicate reference acceleration,Indicate the vibration acceleration time-histories test data,Indicate that the vibration adds
Speed time-histories prediction data.
6. method according to claim 1, which is characterized in that rail railway roadbed tunnel Site Soil finite element model is according to institute
It states place soil and surveys information, edpth of tunnel information, dimensional structure information and subway line information acquisition.
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| CN109918753A (en) * | 2019-02-26 | 2019-06-21 | 北京市劳动保护科学研究所 | Train wheel rail force determines method and system |
| CN111931271A (en) * | 2020-07-16 | 2020-11-13 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Method and system for determining load schema of ballastless track vehicle of high-speed railway |
| CN117763671A (en) * | 2023-12-20 | 2024-03-26 | 北京市科学技术研究院城市安全与环境科学研究所 | Numerical simulation prediction method for building vibration in rail transit environment |
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| CN109918753B (en) * | 2019-02-26 | 2023-04-18 | 北京市劳动保护科学研究所 | Train wheel-rail force determination method and system |
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