CN106895900A - The method that the bicycle number of axle is recognized based on bridge dynamic strain - Google Patents
The method that the bicycle number of axle is recognized based on bridge dynamic strain Download PDFInfo
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- CN106895900A CN106895900A CN201710089866.8A CN201710089866A CN106895900A CN 106895900 A CN106895900 A CN 106895900A CN 201710089866 A CN201710089866 A CN 201710089866A CN 106895900 A CN106895900 A CN 106895900A
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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
- G01G19/02—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles
- G01G19/03—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles for weighing during motion
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Abstract
Method the invention discloses the bicycle number of axle is recognized based on bridge dynamic strain, is belonged to bridge testing detection, health monitoring and overload car and administers field.High-resolution strain detection testing device (sensor) is arranged in beam bridge span centre or maximum strain reaction cross-section, bridge moving strain time history curve under test vehicle effect, noise reduction or fitting are filtered to dynamic strain time-history curves, and carry out single order and second order derivation, with reference to finite element analog result, curve derivation result, the axletree number for obtaining vehicle is calculated.The method is only needed to arrange 1 strain testing section on bridge, installed simple, with low cost;Bridge floor or pavement structure need not be destroyed, to existing highway bridge road not damaged;Recognizer is simple, the degree of accuracy is high.
Description
Technical field
Field is administered the present invention relates to bridge testing detection, health monitoring and overload car, bridge dynamic strain is based particularly on
The method for recognizing the bicycle number of axle.
Background technology
In recent years, China occurs in that multiple great Bridge Accidents successively.The accident that these occur is relevant with several factors, but
It is a lack of effective monitoring measure and one of the reason for necessary maintenance, maintenance measure are important.These startling accidents
So that people are to the quality of modern bridge and life-span, and also gradually concern is got up.Testing inspection, health monitoring are carried out to bridge structure
With communications and transportation overload control vehicle, it has also become domestic and international academia, the focus of engineering circles research.Traditional bridge machinery is very
The experience of manager and technical staff is depended in big degree, often the situation to bridge particularly large bridge lacks comprehensive
Hold and understand, information cannot be fed back in time.If the disease to bridge is underestimated, just it is likely to lose the optimal of maintenance
On opportunity, accelerate the process of bridge damage, shorten the service life of bridge.If to the disease overestimate of bridge, will cause
Unnecessary fund is wasted so that the bearing capacity of bridge can not give full play to.
At present, the phenomenon of vehicle overload traveling occurs again and again, and the load of bridge is that have certain limit, when these are overweight
Vehicle by bridge, can undoubtedly produce certain infringement to bridge;And over time, bridge it is aging, it holds
Loading capability also in change, therefore the weight that monitoring passes through bridge vehicle, goes forward side by side line number according to statistics, for the healthy shape for understanding bridge
Condition is significant.But generally conventional weighbridge weight measuring equipment is expensive, bicycle road it is generally the least expensive be also required to more than 100,000 yuan, and
Destruction former pavement structure is needed during installation;Routine weighing weighbridge needs artificial or differentiates vehicle and car by picture pick-up device when using
The number of axle;And conventional weighbridge is arranged on the road surface beyond bridge main body structure, it is right that multilane bridge is difficult to using conventional weighbridge
Influence of the driving alongside vehicle to bridge is counted on bridge.Use the conventional car weighed on weighbridge and inapplicable and bridge
Axletree number, axletree away from or axletree weight measurement, so, be badly in need of in society a kind of total suitable for measuring the vehicle that travels in bridge
Weight, axletree number, axletree away from or axletree weight cost effective method or equipment.
The open method that vehicle weight is recognized based on bridge dynamic strain of Chinese patent 201210249735.9, including following step
Suddenly:Dynamic strain measure device is arranged on the longitudinally asymmetric section of bridge;Installing the bridge runway of dynamic strain measure device
On carry out sport car experiment, while gathered data, and send data to computer;Should using theoretical the moving of finite element stimulation
Become, extract the dynamic strain time-history curves that dynamic strain result is formed, and be compared with measured value and correlation analysis, draw driving speed
The relational expression T=f (x, ε) or curve of degree, dynamic strain peak value and vehicle weight;According to each section dynamic strain reach peak value when
Between difference and cross-sectional distance road speed is calculated using software automatically, be averaged with each measuring point dynamic strain peak value in section, bring relation into
Formula T=f (x, ε) or curve are calculated or compared and tried to achieve by the car weight in the section.Driving speed is found here by experiment
The relational expression of degree, dynamic strain peak value and vehicle weight, has that workload is big, adaptability is not high, particularly each bridge
Architectural characteristic differ, so cause to install every time be required for bridge in use is needed to carry out closure experiment,
And test number (TN) is more, installation effectiveness is low, install and use high cost, rate of its popularization is not high, it is impossible to the current bridge of reply China
Measurement demand.
Chinese patent 201610114464.4 discloses a kind of for the axletree recognition methods of bridge and system, the method bag
Include step:Along bridge longitudinally mark altogether comprising 4~6 two section groups in section, two virtual simply supported beams are formed;Collection
Bridge time-histories data at two section groups of measurement, two groups of isolation responses are calculated according to time-histories data, and two groups of isolation are rung
Two bar response time-history curves should respectively be built;Local peaking's quantity on response time-history curves is counted, axle for vehicle is obtained
Or the quantity N of axle group.Here by setting up modeling scheme, and the judgement of axletree number is realized by response time-history curves, but needed
Multigroup sensor is installed to form cross-referenced purpose, there is installation complexity, the deficiency of high cost.
The content of the invention
Goal of the invention of the invention is, regarding to the issue above, there is provided the method that the bicycle number of axle is recognized based on bridge dynamic strain,
By provide it is a kind of with simple installation, low cost, the axletree number of efficiency high recognition methods, its pass through install a dynamic stress
Sensor can meet the measurement demand to axletree number.
To reach above-mentioned purpose, the technical solution adopted in the present invention is:
The method that the bicycle number of axle is recognized based on bridge dynamic strain, the axletree number when bicycle passes through bridge to the vehicle is surveyed
Measuring step is:Dynamic strain sensor is arranged at the across footpath of bridge 1/2 or maximum strain reaction, the dynamic strain sensor is being set
Being longitudinally arranged on section and along bridge;The dynamic strain sensor is sequentially connected high speed acquisition device and treatment by shielded cable
Unit;The high speed acquisition device is acquired and is sent in processing unit to the strain signal of dynamic strain sensor;The place
Reason unit is filtered to strain signal and processes and obtain dynamic strain time-history curves, and extraction obtains the continuous of dynamic strain time-history curves
There is interval in normal strain, and the dynamic strain time-history curves interior normal strain generating region carry out second order derivation treatment and obtain load system
Number curve;The axletree number is the line segment quantity in ordinate negative direction in load factor curve not less than amplitude threshold;It is described
Amplitude threshold is when meeting the minimum single-point load of bridge survey demand to pass through the bridge, minimum in its correspondence load factor curve
The interval amplitude size of the corresponding curve of single-point load.
This programme focus on obtain load factor curve so as to obtain the bicycle number of axle, particular by dynamic strain sense
Device obtains strain signal data, and filtering process obtains dynamic strain time-history curves, sets up corresponding two-dimensional coordinate system, confirms and carry
A continuous normal strain for passing through of picking up the car occurs interval, it is ensured that data accuracy, and reduces operation, improves operating efficiency;
Load factor curve is obtained by carrying out second order derivation to the interior dynamic strain time-history curves in normal strain generating region.Load factor is bent
When line is that Vehicle Axles pass through dynamic strain sensor test point, corresponding axle load size is related during correspondence strain variation value mutation
Coefficient curve, it is unique during the strain caused when each axletree is by test point.Processing unit is according to load factor curve and width
Degree threshold value determines that the curve for generating or causing corresponding with the axletree of vehicle is interval on load factor curve, and it is interval to calculate the curve
Amplitude size, the amplitude size is maximum curve interval amplitude size.Amplitude threshold is the minimum for meeting bridge survey demand
When single-point load passes through the bridge, the interval amplitude size of the corresponding curve of minimum single-point load in its correspondence load factor curve.
Here amplitude threshold ensures to choose the interval correctness of Vehicle Axles homologous thread, specifically screens out due in vehicle travel process
Vibration or the dynamic strain that causes of bridge vibration influence, reduce error influence.According in load factor curve, vehicle each axletree
Corresponding curve interval is all unique, i.e., amplitude size is all unique, you can during obtaining bicycle by bridge:Axletree number
It is the line segment quantity not less than amplitude threshold in ordinate negative direction in load factor curve, or the curve area for meeting condition
Between quantity.By contrast, prior art obtains Vehicle Axles number and typically uses " Peak Intensity Method ", that is, obtain dynamic strain time-history curves,
By the number of peaks of software number dynamic strain time-history curves thus the Vehicle Axles number to vehicle;But the method exists following
It is not enough:Vehicle or bridge vibration can bring the change of the crest quantity of dynamic strain time-history curves, and software statistics quantity can be present to be missed
Difference.
Preferably, the bridge moving strain value size and fluctuation amplitude under vehicle effect are influenceed by many, only work as vehicle
When gross weight reaches certain numerical value, under the conditions of existing technical merit and instrument and equipment, using dynamic strain identification one bicycle axle weight
There can be certain applicability and degree of accuracy.According to substantial amounts of verification experimental verification, when using high-resolution strain transducer (resolution ratio
No more than 0.1 μ ε) carry out dynamic strain collection, the bridge maximum strain under gross combination weight effectNeed to meet(MmaxIt is the maximal bending moment of the bridge strain testing section under vehicle effect, ymaxIt is Edge Distance neutral axis
Maximum height, IE is the bending rigidity in strain testing section) when, the method has the universal acceptable degree of accuracy.
Preferably, because bridge force-bearing structure type is various, if any by curved beam bridge, be pressurized arcuately bridge, skewed
Bridge and suspension bridge are drawn, is compared through experiment and force analysis, due to beam bridge wide applicability, its structure stress is simple, power transmission
Path clearly, active force and the features such as good structural response linear relationship, had again preferably using dynamic strain identification bicycle axletree
Mechanical foundation and applicability higher and accuracy of identification, experiment proves that and compare analysis, before beam bridge calculates across footpath L and vehicle
Maximum axle spacing l meets relational expression afterwardsWhen, recognition accuracy can meet bridge testing detection and health to one bicycle axle again
The need for monitoring field.
Preferably, the dynamic strain time-history curves of actual measurement include larger ambient noise and system noise, without noise reduction process
Cannot function as the initial data of identification, the influence factor and feature of comprehensive strain time history curve, the filtering drop that this method is used
Method for de-noising is amplitude limit Glitch Filter.
Preferably, the dynamic strain time-history curves and are carried by processing unit by finite element stimulation theory dynamic strain
Dynamic strain result is taken to be formed.
Due to using above-mentioned technical proposal, the invention has the advantages that:
1. the present invention is suitable for the installation detection of new and old bridge, bridge or pavement of road is not injured in itself, without in
Breaking off a friendship to lead to can complete to install.
2. the present invention only span centre or strain maximum cross-section arrange 1 strain monitoring section, so integral installation cost
It is low and easy for installation.
3. the present invention only needs a dynamic strain time-history curves to recognize bicycle axletree number, thus analysis identification it is more rapid,
Fast, energy consumption is lower, increased the ageing of data processing.
Brief description of the drawings
Fig. 1 is the strain time history curve after the simply supported beam noise reduction filtering under single Concentrated load of the invention.
Fig. 2 is the single order derived function figure of Fig. 1.
Fig. 3 is the second order derived function figure of Fig. 1.
Fig. 4 is single-point load of the present invention and multi-load strain time history curve.
Fig. 5 is multi-load strain time history curve single order derived function figure in Fig. 4.
Fig. 6 is multi-load strain time history curve second order derived function figure in Fig. 4.
Fig. 7 is embodiment of the present invention actual measurement strain time history curve map.
Fig. 8 is the area that embodiment of the present invention normal strain occurs dynamic strain time-history curves envelope in interval.
Fig. 9 is embodiment of the present invention vehicle wheelbase identification schematic diagram.
Figure 10 is embodiment of the present invention strain time history curve derived function figure.
Specific embodiment
The specific implementation invented is further illustrated below in conjunction with accompanying drawing.
The method that the bicycle number of axle is recognized based on bridge dynamic strain, the axletree number when bicycle passes through bridge to the vehicle is surveyed
Measuring step is:Dynamic strain sensor is arranged at the across footpath of bridge 1/2 or maximum strain reaction, the dynamic strain sensor is being set
Being longitudinally arranged on section and along bridge;The dynamic strain sensor is sequentially connected high speed acquisition device and treatment by shielded cable
Unit;The high speed acquisition device is acquired and is sent in processing unit to the strain signal of dynamic strain sensor;The place
Reason unit is filtered to strain signal and processes and obtain dynamic strain time-history curves, and extraction obtains the continuous of dynamic strain time-history curves
There is interval in normal strain, and the dynamic strain time-history curves interior normal strain generating region carry out second order derivation treatment and obtain load system
Number curve;The axletree number is the line segment quantity in ordinate negative direction in load factor curve not less than amplitude threshold;It is described
Amplitude threshold is when meeting the minimum single-point load of bridge survey demand to pass through the bridge, minimum in its correspondence load factor curve
The interval amplitude size of the corresponding curve of single-point load.
Wherein, in order to improve the accuracy of above-mentioned measuring method, the above method should preferentially be applied and be in bridge structure form
On the bridge of beam bridge, and the bridge should meet:Bridge maximum strain under gross combination weight effect MmaxIt is the maximal bending moment of the bridge strain testing section under vehicle effect, ymaxIt is Edge Distance neutral axis
Maximum height, IE is the bending rigidity in strain testing section.Maximum axle spacing l needs to meet before and after beam bridge calculates across footpath L and vehicle
Relational expressionDynamic strain sensor is high-resolution strain detection testing device, and its resolution ratio is less than 0.1 μ ε.Wherein,
Processing unit carries out amplitude limit Glitch Filter treatment to strain signal, obtains dynamic strain time-history curves.
In following further illustrating, dynamic strain sensor, dynamic strain sensor are arranged specifically at the across footpath of bridge 1/2
High speed acquisition device and processing unit are sequentially connected by shielded cable, processing unit is the computer to bridge monitoring.It is related to
Bridge parameter is usedThat is εmax=5;The bridge being related to is satisfied by with vehicle:Before span of bridge L and vehicle
The proportionate relationship of maximum axle spacing l is afterwards:Dynamic strain sensor is that resolution ratio is 0.01 μ ε;Principle and act are carried out with this
Example explanation.
In order to further appreciate that such scheme operation principle, said here by simply supported beam strain time history curvilinear function
It is bright.
The strain time history curve after simply supported beam noise reduction filtering under single Concentrated load is represented by:
Wherein, t is the time, and L is calculated for simply supported beam
Across footpath, v is speed, and measuring point sensor is y with the distance of place cross-sectional neutral axis, and E is simply supported beam elastic modelling quantity, and I is simply supported beam
Cross sectional moment of inertia.
Above formula derivation is obtained:
Formula (2) is normal function discontinuous function, and continuation has to its derivation:
Make formula (1) respectively, formula (2), formula (3) functional arrangement as Figure 1-3, the peak point pair of strain curve as shown in Figure 1
Answer be load P by section where dynamic strain Sensor C when, caused strain size, while where measuring point C
Section is also strain time history curve by rising the separation for switching to decline, and the derivative value in corresponding diagram 2 is from the occasion of being changed into negative value.This
Illustrate that the strain variation value at measuring point there occurs mutation, and cause the reason for straining mutation to be that load acts on survey successively
The left and right sides in section where point, according to certain resilient relationship corresponding with power is strained, the size of strain variation value is in certain journey
It is directly proportional with corresponding load on degree, therefore size for the second derivative values shown in Fig. 3 and load P is one by one
It is corresponding.
The expression formula of its single order of function of strain and second order derived function under being acted on for multiple unit concentrated loads, such as following formula
(4), formula (5), shown in formula (6).
Wherein, t is the time, and N is positive integer, i.e. unit load number
Amount.
Wherein, t is the time, and N is positive integer, i.e. unit load number
Amount.
Wherein, t is the time, and N is positive integer, i.e. unit load number
Amount.
It is assumed here that N=4, that is, assume that vehicle has 4 axle loads, axle load equation is followed successively by ε1(x)、ε2(x)、ε3(x)
And ε4X (), then make ε respectively according to formula (1) and formula (4)1(x)、ε2(x)、ε3(x) and ε4The single-point load functional arrangement and overloading of (x)
Lotus functional arrangement, as shown in part on Fig. 4.
The corresponding complete strain of each axle load P as seen from Figure 4 influences line, with ε1As a example by (x), its table
Show load P1It is to enter bridge at origin x=0, in time x=d3Place goes out bridge, corresponding d3For actual bridge calculates across footpath L.Now
Strain time history curve total length for being surveyed under many axle loads is (d1+d2+d3), the total size of actual measurement strain stress (x) is (ε1
(x)+ε2(x)+ε3(x)+ε4(x)).It is speed that time change x=vt, v are to x, just obtains total strain time history curve map as schemed
Shown in 4 times parts.Corresponding axle during strain variation value mutation is just obtained to the actual measurement overall strain secondary derivation of time-history curves function again
The load factor curve of load, as shown in Figure 6.Here it is worth noting that leading value for just for strain time history curve second order
When be that measuring point strain value starts to become big at span centre or maximum strain reaction caused when axle load is loaded into bridge or goes out bridge, negative value correspondence
Be then axle load by measuring point when the strain that causes start to diminish.
Time-history curves second-order derivative value during for unit axle load by measuring point is in extremely short time Δ t for one is constant
Constant, that is, form the curve interval determined in load factor curve, and curve interval respective amplitude is unit axle load by surveying
Time-history curves second-order derivative value during point.
When being measured based on above-mentioned principle to bridge, dynamic strain sensor is arranged at the across footpath of bridge 1/2.Adopt at a high speed
Storage is acquired and is sent in processing unit to the strain signal of dynamic strain sensor.Processing unit is carried out to strain signal
Amplitude limit Glitch Filter is processed and obtains dynamic strain time-history curves, and extraction obtains the continuous normal strain generating region of dynamic strain time-history curves
Between, and the dynamic strain time-history curves interior normal strain generating region carry out second order derivation treatment obtain load factor curve.Treatment
Unit determines according to load factor curve and amplitude threshold and extracts curve corresponding with the axletree of vehicle on load factor curve
Interval, calculates the interval amplitude size of the curve.Amplitude threshold is the minimum single-point load for meeting bridge survey demand by described
During bridge, the interval amplitude size of the corresponding curve of minimum single-point load in its correspondence load factor curve.Curve interval meets it
Amplitude size is not less than amplitude threshold size.
Wherein, the Vehicle Axles number is:Line segment in load factor curve in ordinate negative direction not less than amplitude threshold
Quantity, or the interval number of curve.Amplitude threshold be meet bridge survey demand minimum single-point load pass through the bridge when, its
The interval amplitude size of the corresponding curve of minimum single-point load in correspondence load factor curve, beParameter physics
Meaning is as hereinbefore.Here minimum single-point load should be met in MmaxWhen taking minimum value, it is the magnitude of load that bridge is subject to.
The weight size of the vehicle each axle load, or Vehicle Axles weight can be obtained by formula (7):
Wherein for N is positive integer, i.e. unit load quantity, GVW is
Gross combination weight.
Can be obtained by load factor curve, axletree weight is=(all axletrees of the corresponding amplitude size/vehicle of axletree of vehicle
Corresponding amplitude size sum) × gross combination weight;Gross combination weight is that normal strain occurs dynamic strain time-history curves envelope in interval
Area × constant coefficient.The vehicle car weight of the constant coefficient=standard tonnage/(normal strain that the vehicle of standard tonnage is obtained by the bridge
There is the area of dynamic strain time-history curves envelope in interval).
The vehicle speed can be obtained by formula (8):
L is that bridge calculates across footpath, t1Passed to arrival dynamic strain from bridge is entered for axletree
The time of sensor measuring point.
Can be obtained by load factor curve, speed is first curve area of negative direction of the span of bridge/normal strain generating region
Between there is the twice of the spacing of interval starting point to normal strain
The vehicle wheelbase can be obtained by formula (9):
Δ d=v (tn-tn-1)=v Δ t formulas (9);V is speed, and Δ t is axletree by dynamic strain Sensor
Time interval.
Can be obtained by load factor curve, wheelbase=[across footpath of the bridge/(normal strain occurs interval positive direction first
The interval twice that the spacing of interval starting point occurs to normal strain of individual curve)] spacing between × two adjacent curves intervals.
It is further illustrated with actual tests below.
Same car weight is taken first, here by taking 20 tons of model (4.6kg) cars as an example, takes the strain of 20T -20Hz simply supported beams span centre
AI01 (left side) and AI02 (the right), two click through the identification of scanning frequency degree, recognize and are divided into 3 grades, 20km/h (0.29m/s),
40km/h (0.56m/s), and 60km/h (0.83m/s).
In Fig. 7, transverse axis represents the time, and sample frequency is 20Hz, is 0.05 second per small lattice time interval, and wherein AI01 lines are being just
Strain value is 127 lattice, and the time of passing a bridge is 127x0.05=6.35 seconds;AI02 lines normal strain be 128 lattice, pass a bridge the time be 128 ×
0.05=6.4 seconds.
Relative error
As shown in figure 8, trying to achieve 20t car weights (ε-vt) using related software surrounds area for 77.46m × ε, constant coefficient is
77.46/4.6=16.84.
The identification of car weight now divides four grades in terms of the area of strain time history curve and reference axis envelope with car weight identification,
20t (4.6kg), 40t (8.85kg), 60t (13.42kg) and 80t (17.9kg), wherein 20t are standard heavy duty, 40t, 60t,
80t is identification heavy duty.
Car weight | Area m × ε | Identification car weight kg | Relative % by mistake |
20t(4.6kg) | 77.46 | 4.6 | 0 |
40t(8.85kg) | 148.65 | 8.82 | 0.3 |
60t(13.42kg) | 234.72 | 13.94 | 3.8 |
80t(17.9kg) | 303.65 | 18.03 | 0.7 |
As seen from the above table, can to obtain vehicle with the area that reference axis is surrounded by constant coefficient and strain time history curve total
Weight, its error can be in prescribed limit.
As shown in figure 9, with same wheelbase, same car weight, different speeds carry out wheelbase identification.Now with 20t-20Hz, car
The axle distance of axle two is 18cm, and speed is respectively 20km/h (0.29m/s), 40km/h (0.56m/s), and 60km/h (0.83m/
S) identification of wheelbase is carried out respectively.
20t-20Hz | Recognition speed m/s | Recognition time s | Identification wheelbase m | Relative error % |
20km/h | 0.32 | 0.5 | 0.16 | 11 |
40km/h | 0.606 | 0.25 | 0.152 | 15 |
60km/h | 0.869 | 0.2 | 0.174 | 3.4 |
With same wheelbase 18cm, same car weight 20t (4.6kg), as a example by same speed 20km/h (0.29m/s).Figure 10 is
Dolly with 20km/h, front axle weight 1.38kg rear axle weight 3.22kg, the strain time history curve map extracted when sample frequency is by 20Hz,
If being 0.05s (i.e. former sample frequency) to time-history curves derivation function according to step-length, due in original timeamplitude map each
There is situation about fluctuating up and down in point, the result of gained is very big by curve influence of noise, such as Figure 10 marks;Therefore secondary leading can be caused
Function also fluctuates up and down therewith, and recognition result is difficult to produce a desired effect.Here can be met by setting amplitude threshold and filtering out
Recognition result, born in the load factor curve that amplitude threshold size is measurable minimum tonnage to be determined by the bridge
Minimum amplitude value on direction.As shown in Figure 10, only two of curve section definition, mark 1, mark 2, this and actual car are met
The number of axle is consistent.
Obtained according to formula (7):
Relative error,
To the error of axletree weight 7.6%, receiving in error range.It can be seen that, under such scheme, car can be measured to obtain
Axletree weight, the need for meeting bridge survey.
Described above is directed to the detailed description of preferably possible embodiments of the invention, but embodiment is not limited to this hair
Bright patent claim, the equal change completed under the technical spirit suggested by all present invention or modification change, all should belong to
Cover the scope of the claims in the present invention.
Claims (6)
1. the method that the bicycle number of axle is recognized based on bridge dynamic strain, it is characterised in that when bicycle passes through bridge to the vehicle
Axletree number measuring process be:Dynamic strain sensor is arranged at the across footpath of bridge 1/2 or maximum strain reaction, the dynamic strain is passed
Sensor set section on and being longitudinally arranged along bridge;The dynamic strain sensor is sequentially connected by shielded cable and adopted at a high speed
Storage and processing unit;The high speed acquisition device is acquired to the strain signal of dynamic strain sensor and is sent to processing unit
In;The processing unit is filtered to strain signal and processes and obtain dynamic strain time-history curves, and extraction obtains dynamic strain time-histories
There is interval in the continuous normal strain of curve, and the dynamic strain time-history curves interior normal strain generating region carry out second order derivation treatment
Obtain load factor curve;The axletree number is the line segment in ordinate negative direction in load factor curve not less than amplitude threshold
Quantity;The amplitude threshold be meet bridge survey demand minimum single-point load pass through the bridge when, its correspondence load factor
The interval amplitude size of the corresponding curve of minimum single-point load in curve.
2. it is according to claim 1 based on bridge dynamic strain recognize the bicycle number of axle method, it is characterised in that:Described moving should
Become time-history curves by processing unit by finite element stimulation theory dynamic strain, and extract dynamic strain result and formed.
3. it is according to claim 1 based on bridge dynamic strain recognize the bicycle number of axle method, it is characterised in that:The vehicle
Bridge maximum strain under gross weight effectNeed to meetMmaxIt is the bridge under vehicle effect
The maximal bending moment in strain testing section, ymaxIt is the maximum height of Edge Distance neutral axis, IE is firm for the bending resistance in strain testing section
Degree.
4. it is according to claim 1 based on bridge dynamic strain recognize the bicycle number of axle method, it is characterised in that:The bridge
Structure type is beam bridge, and maximum axle spacing l need to meet relational expression before and after beam bridge calculates across footpath L and vehicle
5. it is according to claim 1 based on bridge dynamic strain recognize the bicycle number of axle method, it is characterised in that:Described moving should
It is high-resolution strain detection testing device to become sensor, and its resolution ratio is less than 0.1 μ ε.
6. it is according to claim 1 based on bridge dynamic strain recognize the bicycle number of axle method, it is characterised in that:The filtering
Method is amplitude limit Glitch Filter.
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CN106895900B (en) * | 2017-02-20 | 2019-08-23 | 广西交通科学研究院有限公司 | Method based on the bridge dynamic strain identification bicycle number of axle |
CN110874932A (en) * | 2018-08-29 | 2020-03-10 | 北京万集科技股份有限公司 | Method, device and system for identifying number of axles |
CN112132227A (en) * | 2020-09-30 | 2020-12-25 | 石家庄铁道大学 | Bridge train load action time interval extraction method and device and terminal equipment |
CN113280747A (en) * | 2021-04-22 | 2021-08-20 | 杭州申昊科技股份有限公司 | System and method for judging rail safety based on fiber grating sensor |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2888442Y (en) * | 2005-08-23 | 2007-04-11 | 北京华力兴科技发展有限责任公司 | Safety check-up system for roll on/roll off transportation vehicle |
CN102735320A (en) * | 2012-07-19 | 2012-10-17 | 广西交通科学研究院 | Method for identifying weights of cars based on dynamic strain of bridges |
JP2014228480A (en) * | 2013-05-24 | 2014-12-08 | 国立大学法人福井大学 | Device and method for passing vehicle weight analysis processing |
CN105651338A (en) * | 2016-03-01 | 2016-06-08 | 湖南大学 | Axle recognition method and system for axle beam |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106895900B (en) * | 2017-02-20 | 2019-08-23 | 广西交通科学研究院有限公司 | Method based on the bridge dynamic strain identification bicycle number of axle |
-
2017
- 2017-02-20 CN CN201710089866.8A patent/CN106895900B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2888442Y (en) * | 2005-08-23 | 2007-04-11 | 北京华力兴科技发展有限责任公司 | Safety check-up system for roll on/roll off transportation vehicle |
CN102735320A (en) * | 2012-07-19 | 2012-10-17 | 广西交通科学研究院 | Method for identifying weights of cars based on dynamic strain of bridges |
JP2014228480A (en) * | 2013-05-24 | 2014-12-08 | 国立大学法人福井大学 | Device and method for passing vehicle weight analysis processing |
CN105651338A (en) * | 2016-03-01 | 2016-06-08 | 湖南大学 | Axle recognition method and system for axle beam |
Non-Patent Citations (1)
Title |
---|
周志峰: "应变式汽车轴重动态测量系统性能增长研究", 《中国博士学位论文全文数据库 工程科技II辑》 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106895900B (en) * | 2017-02-20 | 2019-08-23 | 广西交通科学研究院有限公司 | Method based on the bridge dynamic strain identification bicycle number of axle |
CN107389168A (en) * | 2017-07-18 | 2017-11-24 | 重庆交通大学 | A kind of vehicle for bridge moves the recognition methods of load |
CN107393312A (en) * | 2017-08-22 | 2017-11-24 | 湖南大学 | Vehicle Axles and the method and system of speed are travelled on a kind of identification bridge |
CN110874932A (en) * | 2018-08-29 | 2020-03-10 | 北京万集科技股份有限公司 | Method, device and system for identifying number of axles |
CN110874932B (en) * | 2018-08-29 | 2021-06-15 | 北京万集科技股份有限公司 | Method, device and system for identifying number of axles |
CN112132227A (en) * | 2020-09-30 | 2020-12-25 | 石家庄铁道大学 | Bridge train load action time interval extraction method and device and terminal equipment |
CN112132227B (en) * | 2020-09-30 | 2024-04-05 | 石家庄铁道大学 | Bridge train load action time course extraction method and device and terminal equipment |
CN113280747A (en) * | 2021-04-22 | 2021-08-20 | 杭州申昊科技股份有限公司 | System and method for judging rail safety based on fiber grating sensor |
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