CN106570299A - Method for determining vehicle-bridge resonance performance curves of high-speed railway steel truss arch bridges - Google Patents
Method for determining vehicle-bridge resonance performance curves of high-speed railway steel truss arch bridges Download PDFInfo
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Abstract
The invention discloses a method for determining vehicle-bridge resonance performance curves of high-speed railway steel truss arch bridges. The method comprises following steps: 10) collecting bridge acceleration data, dynamic strain data and vehicle speed data: the collected acceleration data comprises acceleration values corresponding to the train at different times, wherein the dynamic strain data comprises dynamic strain values corresponding to the train at different time; the vehicle speed sample data comprises vehicle speed values corresponding to the train at different passing through times; step 20) classifying train load condition: the train load condition is accurately identified by means of the space-time correlation between an optical grating strain gauge and an accelerometer; step 30) drawing a correlation scatter point diagram of a girder acceleration peak value and the train speed under different conditions; step 40) determining the vehicle speed value corresponding to the peak value point of the scatter point diagram and dividing the vehicle changing range into multiple vehicle speed sections to form a resonance performance curve by means of the multi-segment line fitting method. By means of the determination method, the vehicle-bridge resonance performance curves of high-speed railway steel truss arch bridges can be accurately determined.
Description
Technical field
The present invention is that one kind is applied to high-speed railway steel truss arched bridge car-bridge resonance performance curve determination method, is related to bridge
Health monitoring field.
Background technology
When bullet train passes through railroad bridge, due to the serpentine locomotion of EMUs, track irregularity, loading speed and dynamic
The regular arrangement of car group axle heavy load produces the reasons such as periodic dynamic action, may be strong in the EMUs under certain speed
The 1/ of vibration frequency and the bridge rank natural frequency of vibration or certain rank natural frequency of vibrationi（i=1,2,3…）It is close to, so as to produce resonance or over harmonic
Resonance.Liu Penghui and Yang Yiqian etc. carries out to the Common Span simply supported girder bridge of 300 ~ 350km of 200 ~ 250km of speed per hour and speed per hour respectively
Power performance test.Research shows that existing Design of High-speed Railway specification passes through the vertical natural frequency of vibration for controlling simply supported beam, effectively
The generation of beam body Vertical Resonance is controlled, but ultraharmonic resonance still can be produced under specific speed.Therefore, it is this kind of for steel truss arched bridge
The high-speed railway bridge of special bridge type, the research of performance curve determination method that its car-bridge is resonated, with highly important meaning
Justice.
At present, each building, field of traffic are had for the research of railroad bridge car-bridge resonance performance curve determination method
Following several method：（1）Field test method：This method is existing using the dynamic trait that the method for car-line-bridge system test carries out bridge
Test, due to the train operation number of times of on-the-spot test it is less, it is difficult to hold the car-bridge resonance characteristics of bridge, not with determination
Property；（2）Single performance analysis method：Most of research both at home and abroad is the car-bridge resonance launched for single train load operating mode
All operating modes are not carried out the research of holonomic system, not with feasibility by the research of performance methodology；（3）Theoretical Calculation and
Subjunctive：Bridge is only reduced to simply supported girder bridge by the method, by Theoretical Calculation and derivation, obtains bridge car-bridge resonance machine
Reason, carries out early warning so as to set restriction.And there is larger difference in actual bridge and simply supported girder bridge, and practical situation get off-bridge is common
Shake and there is larger randomness, therefore, this method suitability is poor.Therefore, for steel truss arched bridge car-bridge resonance performance curve determination
A kind of method, it is necessary to study that accuracy is high, feasibility is good, strong applicability new method.
The content of the invention
Technical problem：The present invention provides a kind of high-speed railway steel truss arched bridge car-bridge resonance performance curve determination method, the party
Method accurately can be measured to high-speed railway steel truss arched bridge car-bridge resonance performance curve.
Technical scheme：The high-speed railway steel truss arched bridge car of the present invention-bridge resonance performance curve determination method, comprises the steps：
Step 10）Collection acceleration information, dynamic strain data and vehicle speed data sample；
Step 20）Divided working status are carried out to train load；
Step 30）Draw acceleration peak value and train speed's dependency scatterplot under each operating mode；
Step 40）The method being fitted using multi-section-line, forms acceleration peak value with train speed's resonance performance curve.
Further, in the inventive method, step 10）The bridge acceleration information of middle collection is comprising train is not made in the same time
The corresponding accekeration with, the dynamic strain packet contain not corresponding dynamic strain value under train effect in the same time, the car
Corresponding vehicle speed value when fast data difference train passes through.
Further, in the inventive method, step 20）The particular content of middle divided working status is：
A. using train by the step 10）The acceleration information of collection, obtains the elder generation that two ends acceleration information produces peak value
Afterwards sequentially, so that it is determined that direction of traffic；
B. utilize the step 10）The dynamic strain data of collection, determine train driving in upstream side or downstream；
C. motor train unit carriage number is determined using girder dynamic strain data extreme point number, that is, determine the compartment compartment class of EMUs
Type.
Further, in the inventive method, step 30）Idiographic flow be：Based on the step 20）The operating mode of middle determination
Under acceleration and speed historical data, obtain the maximum and train speed of single train measuring point acceleration absolute value when passing through
Angle value, with train speed value as abscissa, the maximum of acceleration absolute value as vertical coordinate, draw the acceleration peak under the operating mode
Value and train speed's dependency scatterplot.
Further, in the inventive method, step 40）Particular content be：First according to step 30）Middle drawn adds
Velocity peak values and train speed's dependency scatterplot, determine the car at maximum and trough corresponding to minimum at scatterplot crest
Speed value, using the interval of two neighboring vehicle speed value as a speed section, so as to the speed change model by whole dependency scatterplot
Enclose and be divided into multiple speed sections；
Then the scatterplot data in each vehicle speed section of linear fit, form multi-section-line, as car-bridge resonance performance curve.
Further, in the inventive method, step 10）Acceleration information by be arranged on bridge two ends end bay span centre plus
Velocity sensor is collected.
Beneficial effect：The present invention compared with prior art, with advantages below：
（1）Accurately high-speed railway steel truss arched bridge car-bridge resonance performance curve is measured.The present invention is based on acceleration peak value sample
This dependency scatterplot with train speed's sample, there is provided high-speed railway steel truss arched bridge car-bridge resonance performance curve determination side
Method.Both at home and abroad the response of research bridge vibration is more with the achievement of speed dependency relation, but without accurately working out dependency relation,
It is based only on a small amount of experimental study its dependency relation.And the present invention can based on the dependency relation that health monitoring mass data is worked out
To avoid testing on a small quantity the randomness and larger error that bring, and the conclusion for drawing is tested on a small quantity and can not form obvious car-bridge
Resonance correlation scatter diagram, affects larger to the accuracy of curve determination.Meanwhile, the dependency relation that the present invention is worked out has real-time
Property, foundation can be provided for bridge early warning, and test on a small quantity and can only carry out during bridge inspection, not with real-time.Cause
This, the present invention can make later stage curve determination more efficient.
（2）As most bridges specially recognize the instrument of train load operating mode, so big portion domestic and international at present
Research is divided to be only the research for entering driving-bridge resonance performance under single operating mode or in the case of not divided working status.And actually arrange
There are multiple operating modes in car load, the car-bridge resonance performance being only sure about under each operating mode, can just determine complete, effectively
Car-bridge resonance performance curve.Meanwhile, the car worked out under single operating mode and in the case of not divided working status-bridge resonance performance is bent
Line is inaccurate, does not reject the impact of travel direction, traveling lane and railway car number to curve determination.And the present invention passes through
Train load operating mode is accurately identified using the temporal correlation between grating strain meter and acceleration transducer, so as to obtain each
Dependency scatterplot under operating mode, ultimately forms complete, accurate car-bridge resonance performance curve.
（3）The method is simple and practical, with good feasibility.The method of the present invention is simple and practical, with well may be used
Row, and compensate in prior art using field test method, Theoretical Calculation and subjunctive and single performance analysis method
Defect.Meanwhile, the method for the present invention goes for the measure of various high-speed railway steel truss arched bridge cars-bridge resonance performance curve,
So that this method more has feasibility, accuracy when for high-speed railway steel truss arched bridge car-bridge resonance performance curve determination
And the suitability, can be widely popularized and be applied.
Description of the drawings
Fig. 1 is the acceleration peak value sample P of embodiment of the present invention collection1Long-term change curve.
Fig. 2 is strain time history curve of the embodiment of the present invention single train when downstream travels.
Fig. 2（a）By the single train strain time history curve that DWY-11-25 strain gauges are gathered when downstream travels.
Fig. 2（b）By the single train strain time history curve that DWY-11-26 strain gauges are gathered when downstream travels.
Fig. 3 is strain time history curve of the embodiment of the present invention single train when upstream side travels.
Fig. 3（a）By the single train strain time history curve that DWY-11-25 strain gauges are gathered when downstream travels.
Fig. 3（b）By the single train strain time history curve that DWY-11-26 strain gauges are gathered when downstream travels.
Fig. 4 is the extreme point produced when the train of embodiment of the present invention difference compartment number is passed a bridge.
Fig. 4（a）The extreme point produced when passing a bridge for 8 trains for saving compartments.
Fig. 4（b）The extreme point produced when passing a bridge for 16 trains for saving compartments.
Fig. 5 is the train gap bridge brief acceleration time-history curves of embodiment of the present invention difference travel direction.
Fig. 5（a）Acceleration-time curve when travelled for train from south to north.
Fig. 5（b）Acceleration-time curve when being travelled by north orientation south for train.
Fig. 6 is the dependency scatterplot of 1 time measuring point acceleration peak value of embodiment of the present invention operating mode and train speed.
Fig. 7 is embodiment of the present invention car-bridge resonance performance curve.
Specific embodiment
Below with reference to accompanying drawings, technical scheme is described in detail.
The high-speed railway steel truss arched bridge car of the present invention-bridge resonance performance curve determination method, comprises the steps：
Step 10）Collection acceleration information, dynamic strain data and vehicle speed data sample：
Step 10a）Acceleration transducer is coupled in Acceleration Acquisition System, then using acceleration transducer to measuring point
Acceleration is acquired, and acceleration transducer is delivered to the acceleration information of acquisition in Acceleration Acquisition System, is formed and is accelerated
Degree sample.Acceleration samples include not corresponding accekeration under train effect in the same time.
Step 10b）Using each fiber optic strain gage in the symmetric position of main span span centre upstream and downstream side, fiber optic strain gage is matched somebody with somebody
It is connected in strain acquisition system, the then dynamic strain using fiber optic strain gage to measuring point is acquired, answers the measuring point for obtaining dynamic
Become information transmission in dynamic strain acquisition system, form dynamic strain sample.Under dynamic strain sample is not comprising train is acted in the same time
Corresponding dynamic strain value.
Step 10c）Tachymeter is coupled in speed data collection system, then train speed is adopted using tachymeter
Collection, tachymeter are delivered to the speed information of acquisition in speed data collection system, form speed sample.Speed sample includes different lines
Corresponding vehicle speed value when car passes through.
Step 20）Divided working status are carried out to train load：
Step 20a）Determine direction of traffic：Using the acceleration transducer of bridge two ends end bay span centre（Two sensors are used respectively
A1 and A2 are represented）, when train passes through, A1 and A2 collects corresponding acceleration signal respectively, if the acceleration collected by A1
First is there is extreme point than what A2 collected in degree signal, then can determine that This train is bound for XXX is by A1 to A2.Conversely, then serving as reasons
A2 to A1.
Step 20b）Determine train driving in upstream side or downstream：Using in the symmetric position of main span span centre upstream and downstream side
Each fiber optic strain gage（Upstream side and downstream fiber optic strain gage are represented with S1 and S2 respectively）, when train passes through, S1 institutes
The dynamic strain data variation amplitude for collecting is collected more than S2, then train driving is in upstream side.Conversely, then train driving
In downstream.
Step 20c）Determine motor-car set type：China's EMUs are typically respectively 8 sections and 16 section compartment two types, utilize
Step 20b）The collected dynamic strain data of middle S1 and S2 are analyzed.When the train in 8 section compartments passes through S1 and S2 due to rail
Road irregularity, 9 pair rollers can make dynamic strain data produce 9 extreme points；Corresponding 16 section, 17 pair roller of compartment can dynamic strain number
According to 17 extreme points of generation.Therefore may determine that the compartment number of train.
Through step 20a）、20b）, and 20c）Analysis, can be recognized accurately train operating mode.
Step 30）Draw acceleration peak value and train speed's dependency scatterplot under different operating modes：
Calculation procedure 10a）In, within the time period of required analysis in all of acceleration information, choose train load operating mode pair
The data answered are analyzed, and obtain the peak value of measuring point acceleration samples when single train passes through（That is acceleration samples absolute value
Maximum）The train speed value recognized with tachymeter.Draw by train speed value, vertical coordinate of abscissa for acceleration peak value
Acceleration peak value and train speed's dependency scatterplot under different operating modes.
Step 40）The method being fitted using multi-section-line, forms acceleration peak value with train speed's resonance performance curve：
According to step 30）Middle drawn scatterplot substantially into " M " distributed wave, it is determined that very big at " M " waveform scatterplot crest
Vehicle speed value at value and trough corresponding to minimum, so as to whole speed excursion is divided into multiple speed sections, speed section
Respectively [minimum speed, the vehicle speed value at primary peak corresponding to maximum], [speed at primary peak corresponding to maximum
Value, the vehicle speed value at tight rear trough corresponding to minimum] ... the like, the scatterplot in each speed section linearly divides
Cloth, therefore, using linear fit scatterplot data, form multi-section-line.This multi-section-line is car-bridge resonance performance curve.
Embodiment：
Below as a example by winning the acceleration samples on the Bridge beam steel bridge deck of pass completely, the specific implementation process of the present invention is illustrated.
（1）The acceleration that a certain measuring point of girder steel bridge deck was at 2014 to 2 years 2015 is obtained using acceleration transducer
Degree peak value sampleP 1, its long-term change curve is as shown in Figure 1.In FIG, vertical coordinate represents peak value, unit mm/s2；Abscissa table
Show data amount check（That is train number of pass times）.Every time train by when obtain an acceleration peak value.With this simultaneously, each train
By when can obtain a vehicle speed value using vehicle speedometer, formed and acceleration peak value sampleP 1One-to-one train speed sample
ThisC 1。
（2）Train load is carried out into divided working status：Respectively it is mounted with that 1 grating should on the upstream and downstream crossbeam of girder main span span centre
Become meter, strain gauge numbering is DWY-11-25 on the crossbeam of downstream；On the crossbeam of upstream side, dynamic strain sensor number is DWY-11-
26.In No. 2 piers（North）Place and No. 20 piers（South）Two acceleration transducers are mounted with place's bridge, sensor number is respectively JSD-
02-01 and JSD-20-10.The concrete grammar of divided working status is：A. Fig. 2 and Fig. 3 sets forth train in downstream and upstream side
During traveling, the strain time history curve collected by DWY-11-25 and DWY-11-26.When train is in downstream lanes
DWY-11-25 will produce larger change, and DWY-11-26 changes are relatively much smaller by contrast；When train is in upstream side track
During traveling, DWY-11-26 will produce larger change, and DWY-11-25 changes are comparatively small.Then may determine that train exists
Which side is travelled；B. when the train in 8 section compartments passes through strain transducer due to track irregularity, 9 pair rollers can produce 9 poles
Value point；Corresponding 16 section, 17 pair roller of compartment can produce 17 extreme points, as shown in Figure 4.Train is may determine that further
Compartment number；C. when train is travelled by north orientation south, then first there is extreme point than JSD-20-10 in acceleration transducer JSD-02-01, instead
It is as the same, as shown in Figure 5.So that it is determined that having gone out direction of traffic.Train load operating mode may finally be accurately identified.
（3）From（1）In the acceleration peak value sample that obtainsP 1And train speedC 1In, choose 1 ~ operating mode of train load operating mode 8
It is analyzed.Fig. 6 gives the dependency scatterplot of 1 time measuring point acceleration peak value of operating mode and train speed.In figure 6, indulge
Coordinate representation peak value, unit mm/s2；Abscissa represents speed, unit km/h.Determine the speed corresponding to scatterplot extreme point
Whole speed excursion is divided into multiple speed sections by value, the method being fitted using multi-section-line, forms car-bridge resonance performance
Curve, as shown in Figure 7.
Above-described embodiment is only the preferred embodiment of the present invention, it should be pointed out that：For those skilled in the art
For, under the premise without departing from the principles of the invention, some improvement and equivalent can also be made, these are to right of the present invention
Requirement is improved and the technical scheme after equivalent, each falls within protection scope of the present invention.
Claims (6)
1. a kind of high-speed railway steel truss arched bridge car-bridge resonance performance curve determination method, it is characterised in that the method includes as follows
Step：
Step 10）Collection bridge acceleration information, dynamic strain data and vehicle speed data；
Step 20）Divided working status are carried out to train load；
Step 30）Draw acceleration peak value and train speed's dependency scatterplot under each operating mode；
Step 40）The method being fitted using multi-section-line, forms acceleration peak value with train speed's resonance performance curve.
2. high-speed railway steel truss arched bridge car according to claim 1-bridge resonance performance curve determination method, its feature exist
In described step 10）The bridge acceleration information of middle collection includes not corresponding accekeration under train effect in the same time, institute
Dynamic strain packet is stated containing not corresponding dynamic strain value under train effect in the same time, when vehicle speed data difference train passes through pair
The vehicle speed value answered.
3. high-speed railway steel truss arched bridge car according to claim 1-bridge resonance performance curve determination method, its feature exist
In described step 20）The particular content of middle divided working status is：
A. using train by the step 10）The acceleration information of collection, obtains the elder generation that two ends acceleration information produces peak value
Afterwards sequentially, so that it is determined that direction of traffic；
B. utilize the step 10）The dynamic strain data of collection, determine train driving in upstream side or downstream；
C. motor train unit carriage number is determined using girder dynamic strain data extreme point number, that is, determine the compartment compartment class of EMUs
Type.
4. the high-speed railway steel truss arched bridge car according to claim 1,2 or 3-bridge resonance performance curve determination method, which is special
Levy and be, described step 30）Idiographic flow be：Based on the step 20）Acceleration and speed under the operating mode of middle determination
Historical data, obtain the maximum and train speed value of single train measuring point acceleration absolute value when passing through, with train speed
Be worth for abscissa, acceleration absolute value maximum be vertical coordinate, draw the acceleration peak value and train speed's phase under the operating mode
Closing property scatterplot.
5. the high-speed railway steel truss arched bridge car according to claim 1,2 or 3-bridge resonance performance curve determination method, which is special
Levy and be, described step 40）Particular content be：First according to step 30）Middle drawn acceleration peak value and train car
Fast dependency scatterplot, determines the vehicle speed value at maximum and trough corresponding to minimum at scatterplot crest, will be two neighboring
The interval of vehicle speed value as a speed section, so as to the speed excursion of whole dependency scatterplot is divided into multiple speeds
Section；
Then the scatterplot data in each vehicle speed section of linear fit, form multi-section-line, as car-bridge resonance performance curve.
6. the high-speed railway steel truss arched bridge car according to claim 1,2 or 3-bridge resonance performance curve determination method, which is special
Levy and be, the step 10）Acceleration information collected by the acceleration transducer for being arranged on bridge two ends end bay span centre.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106596002A (en) * | 2016-12-14 | 2017-04-26 | 东南大学 | High-speed railway steel truss arch bridge vehicle-bridge resonance curve measuring method |
| CN107679349A (en) * | 2017-11-07 | 2018-02-09 | 中国矿业大学 | A kind of high-speed railway vehicle bridge resonance characteristics characterizes the accurate method for building up of function |
| CN109506615A (en) * | 2018-10-31 | 2019-03-22 | 同济大学 | Long term monitoring methods based on beam bridge cross section neutral axis safety index |
| CN110020464A (en) * | 2019-03-13 | 2019-07-16 | 西南交通大学 | A method of weakening the arch of railroad bridge track |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103837358A (en) * | 2014-02-18 | 2014-06-04 | 东南大学 | Early warning method for abnormity of whole lateral load resistance performance of large-span bridge structure |
| CN104732097A (en) * | 2015-03-31 | 2015-06-24 | 东南大学 | Correcting method for power spectrum in modal frequency identification of railroad bridge under strong signal interference |
| CN104820234A (en) * | 2015-04-13 | 2015-08-05 | 东南大学 | Quick identification method for earthquake load of bridge |
| CN105550534A (en) * | 2016-03-15 | 2016-05-04 | 东南大学 | Measuring method of strain dynamic coefficient |
| CN105930571A (en) * | 2016-04-15 | 2016-09-07 | 东南大学 | Unit temperature response monitoring value based correction method for finite element model of large-span steel bridge |
-
2016
- 2016-11-14 CN CN201611021054.1A patent/CN106570299A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103837358A (en) * | 2014-02-18 | 2014-06-04 | 东南大学 | Early warning method for abnormity of whole lateral load resistance performance of large-span bridge structure |
| CN104732097A (en) * | 2015-03-31 | 2015-06-24 | 东南大学 | Correcting method for power spectrum in modal frequency identification of railroad bridge under strong signal interference |
| CN104820234A (en) * | 2015-04-13 | 2015-08-05 | 东南大学 | Quick identification method for earthquake load of bridge |
| CN105550534A (en) * | 2016-03-15 | 2016-05-04 | 东南大学 | Measuring method of strain dynamic coefficient |
| CN105930571A (en) * | 2016-04-15 | 2016-09-07 | 东南大学 | Unit temperature response monitoring value based correction method for finite element model of large-span steel bridge |
Non-Patent Citations (4)
| Title |
|---|
| YONGHUI AN 等: "Influence of temperature on transverse dynamic displacement amplitude of a hanger in a railway arch bridge under high-speed trains", 《THE 2016 STRUCTURES CONGRESS (STRUCTURES16)》 * |
| YOULIANG DING 等: "Field monitoring of the train-induced hanger vibration in a high-speed railway steel arch bridge", 《SMART STRUCTURES AND SYSTEMS》 * |
| 丁幼亮 等: "基于加速度监测的大胜关大桥车-桥共振分析", 《铁道工程学报》 * |
| 丁幼亮 等: "高速铁路钢桁拱桥吊杆振动长期监测与分析", 《东南大学学报(自然科学版)》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106596002A (en) * | 2016-12-14 | 2017-04-26 | 东南大学 | High-speed railway steel truss arch bridge vehicle-bridge resonance curve measuring method |
| CN107679349A (en) * | 2017-11-07 | 2018-02-09 | 中国矿业大学 | A kind of high-speed railway vehicle bridge resonance characteristics characterizes the accurate method for building up of function |
| CN107679349B (en) * | 2017-11-07 | 2018-11-30 | 中国矿业大学 | A kind of accurate method for building up of high-speed railway vehicle bridge resonance characteristics characterization function |
| CN109506615A (en) * | 2018-10-31 | 2019-03-22 | 同济大学 | Long term monitoring methods based on beam bridge cross section neutral axis safety index |
| CN110020464A (en) * | 2019-03-13 | 2019-07-16 | 西南交通大学 | A method of weakening the arch of railroad bridge track |
| CN110020464B (en) * | 2019-03-13 | 2022-11-22 | 西南交通大学 | Method for weakening upwarp of railway bridge track |
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Application publication date: 20170419 |
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