CN106289738B - The antitorque military service Reliable Evaluating Methods of Their Performance of Expansion Units for Highway Bridges - Google Patents
The antitorque military service Reliable Evaluating Methods of Their Performance of Expansion Units for Highway Bridges Download PDFInfo
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- G—PHYSICS
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
Abstract
The present invention is suitable for highway bridge detection field, if support or telescopic device disease cause the dislocation of seam bumps, under concave-convex step and the coupling excitation of driving dynamic load, telescopic device or beam body torsional oscillation can be caused to respond;The invention discloses the antitorque military service Reliable Evaluating Methods of Their Performance of Expansion Units for Highway Bridges, and the method includes: torsional oscillation data acquisition module, for acquiring the twisting dislocation and torsional oscillation response signal of telescopic device or beam body;Torsional property Evaluation model defines the calculation method of torsional property and torsional property deterioration rate;Torsional property deterioration process database stores torsional property and torsional property deterioration evaluation result that each detection cycle is assessed object;Tracking and monitoring is assessed the variation of the torsional property deterioration rate of object, can early diagnose and identify the deterioration of antitorque military service performance.The method of the present invention improves the reliability for checking evaluation while improving detection efficiency.
Description
Technical field
The invention belongs to highway bridge detection field, it is related to a kind of antitorque military service performance of the bridge extension joint fast side of evaluation
Method.
Background technique
Highway bridge support and telescopic device are the important structures in highway bridge.Usually require that maintenance department to highway
Bridge pad and telescopic device system carry out periodic test, systematically grasp its technology status, find in time telescopic device and
The associated degradation and degree of disease of support system, and according to inspection result to highway bridge support and telescopic device system technology status
It is evaluated, and formulates corresponding maintenance counterproposal.
Under service conditions, highway bridge support and telescopic device unavoidably exist some bad with the extension of service phase
Change defect and disease, such as telescopic device fracture, support fall off;Above-mentioned disease is mainly shown as expansion joint in step-like or rigidity
Decline, the development of disease will be accelerated for a long time by operating in spite of illness, affect the durability of bridge, can cause traffic accident when serious, both
Influencing traffic safety also influences the safety and durability of bridge structure.
For a long time, highway bridge support and telescopic device system military service state of the art are inspected periodically, and are mainly used
The method of manual inspection, but the method that conventional manual checks has the following problems:
1, the more quantitative detection contents of qualitative examination content are few in the scope of examination;
2, large labor intensity, high altitude operation and working space is small are checked;
3, it checks low efficiency and detection unstable quality, early disease recall rate is low;
4, it will affect road vehicles passage when artificial detection and manual record detection content owe specification completely;
Therefore, it is necessary to a kind of new highway bridge supports and telescopic device duty status to check assessment method, promoted and checked
The reliability and efficiency of evaluation.
Under concave-convex step and the coupling excitation of driving dynamic load, telescopic device and the impact of beam body torsional oscillation are caused;It is rushed using torsional oscillation
Response measurement value is hit, its antitorque impact capacity is measured;By the method for the antitorque deterioration rate of tracking and monitoring, building is responded based on torsional oscillation
Highway bridge support and the antitorque military service performance of telescopic device assessment system, be both to one of existing conventional detection means benefit
It fills, and the important means of early diagnosis military service performance deterioration and EARLY RECOGNITION disease.
Summary of the invention
It is an object of that present invention to provide a kind of antitorque military service Reliable Evaluating Methods of Their Performance of Expansion Units for Highway Bridges, are checked with being promoted
The efficiency and reliability of evaluation is the supplement to conventional manual's detection means.
The present invention provides a kind of antitorque military service Reliable Evaluating Methods of Their Performance of Expansion Units for Highway Bridges, comprising steps of
S1: the particulars for being assessed object are obtained:
It collects and is assessed the essential information of telescopic device, is assessed all previous maintenance of bridge and maintenance report, all previous resistance to torsion
It can detected value and assessment result;
S2: torsional property Evaluation model is established:
In formula,For by static torsional angle mean valueCaused static state step difference mean value;For by dynamic torsional angle mean value
Caused dynamic amplitude peak-to-average;ΔLimitFor be assessed object expansion joint allow misplace extreme value;
S3: measurement is assessed the static torsional angle θ of object when without drivingSAnd static step difference ΔS;When driving is to detect
When speed is by being assessed object, torsional angle-time graph is acquired, calculates dynamic torsional angle θ in real timeDpAnd the dynamic as caused by dynamic torsional angle
Amplitude peak ΔDp, according to the static step difference of actual measurement and dynamic amplitude peak deltaDp, calculate determination and be assessed the total of object seam end face
Vertical dislocation ΔT=ΔS+ΔDp;Repeatedly above-mentioned detection, and be calculated and be assessed the average total perpendicular of object seam end face
To dislocation:N is detection number;Torsional property detected value is calculated according to S2;
S4: the torsional property detected value judgement obtained according to S3 is assessed whether object is investigated from depth;If resistance to torsion
Can detected value less than 0.5, then evaluate that torsional property is bad or torsional property disease, walked into S5;Otherwise, S6 is directly executed
Step;
S5: carry out depth inspection to object is assessed, the depth scope of examination is the integrity inspection of telescopic device, connects
The relative dislocation of seam and step difference inspection, driving noise and vibration inspection, anchoring integrity checking, connect the status checkout of support
The step difference inspection of seam, the state of the art of support and disease inspection;
S6: it is detected according to the torsional property that the S1 torsional property detection initial value for being assessed object obtained and step S3 are obtained
Value calculates antitorque deterioration rate:
In formula, Sθ1Torsional property detects initial value;SθnTorsional property detected value, to be assessed the newly-built completion of object or repairing
N-th detection cycle torsional property detected value afterwards.
Torsional property includes static step difference mean valueIt is poor with dynamic terraceThe static state step difference mean valueRefer to
Under the conditions of no vehicle pass-through motivates, the static torsional angle θ at expansion jointSCaused seam static state height difference;The dynamic terrace is poor
Refer under the conditions of the excitation of driving, dynamic torsional angle θDpCaused seam dynamic amplitude peak deltaDp。
The torsional property value range is 1~0, point five evaluation levels: excellent, good, qualified, bad, disease;
1) torsional property is excellent, shows that driving is smooth and feels entirely without jolting, torsional property value range is Sθ≥0.90;
2) torsional property is good, shows to drive a vehicle smoothly but have slightly to jolt, torsional property value range is 0.9 > Sθ≥
0.75;
3) torsional property is qualified, shows that driving is smooth but jolts, torsional property value range is 0.75 > Sθ≥0.50;
4) torsional property is bad, shows severe turbulence of driving a vehicle, and torsional property value range is 0.50 > Sθ≥0.10;
5) torsional property disease shows that driving has and jumps vehicle sense or jump vehicle phenomenon, and torsional property value range is Sθ< 0.10.
Further include S7 after the S6: generating antitorque military service performance detection report, including the following contents: bridge type and stake
Number, telescopic device type, runway number, detection time, detection cycle, Current Temperatures, flexible gap width, detection speed per hour,
Torsional angle-time response curve, static torsional angle, static step difference, dynamic torsional angle, dynamic amplitude peak value, total vertical dislocation ΔT=ΔS
+ΔDp, torsional property detected value, antitorque deterioration rate, military service technology evaluation result.
Further include S8 after the S7: torsional property deterioration process database is enriched, in torsional property deterioration process data
Following record is added in library;It is this detection time, detection cycle, detection temperature, detection speed per hour, torsional angle-time response curve, quiet
State torsional angle, static step difference, dynamic torsional angle, dynamic amplitude peak value, total vertical dislocation ΔT=ΔS+ΔDp, torsional property detection
Value, antitorque deterioration rate, live depth inspection result, assessment result and suggestion.
The antitorque military service Reliable Evaluating Methods of Their Performance of a kind of Expansion Units for Highway Bridges provided by the present invention utilizes expansion joint bumps
The coupling excitation of step and driving, the real time measure are assessed torsional angle-time response curve of object, and operation obtains corresponding static state
Torsional angle and dynamic torsional angle, according to measured static torsional angle θS, static step difference ΔS, dynamic torsional angle θDpAnd dynamic amplitude peak deltaDp
The torsional property for being assessed object and evaluation classification are determined with torsional property Evaluation model;Object resistance to torsion is assessed according to being stored in
The detection initial value of torsional property in energy deterioration process database determines the torsional property and deterioration rate for being assessed object;Meanwhile
Current detection and evaluation result are added in torsional property deterioration process database;Utilize the torsional property and deterioration rate of quantization
Detected value, quantitatively measures the antitorque military service performance of highway bridge support and telescopic device, and long-term follow observes antitorque deterioration rate
Variation, then can early diagnose and identify the deterioration and damage for being assessed the antitorque military service performance of object, improve detection efficiency
While, it improves the identity of the earlier damage of highway bridge support and the antitorque military service performance of telescopic device and checks evaluation
Reliability.
Detailed description of the invention
Fig. 1 is that a kind of process for the antitorque military service Reliable Evaluating Methods of Their Performance of Expansion Units for Highway Bridges implemented according to the present invention is shown
It is intended to.
Fig. 2 is variator twisting schematic diagram.
Fig. 3 is to be assessed object torsional property deterioration process curve.
Wherein, 1 is beam body, and 2 be anchorage zone, and 3 be telescopic device anchoring piece, and 4 be expansion joint profile iron, and 5 be sealing rubber
Adhesive tape, 6 be rubber support, and θ is torsional angle, and W is curb-to-curb width.
Specific embodiment
Technical solution of the present invention is described in detail with reference to the accompanying drawing:
Current highway bridge extension joint technology status checks assessment method, it is difficult to realize anti-to expansion joint during one's term of military service
Performance quantitative assessment and automatic classification evaluation are turned round, long-term follow assessment database is cannot be automatically generated, also cannot achieve antitorque clothes
Use as a servant the earlier damage degradation level automatic identification of performance.
Aiming at the problems existing in the prior art, a kind of antitorque military service of Expansion Units for Highway Bridges is proposed in the present invention
Energy assessment method, suitable for the detection of service Highway Bridge Testing support and the antitorque duty status of telescopic device, in expansion joint concave and convex platform
Under the coupling excitation of rank and driving, telescopic device or the torsional oscillation of beam body can be caused to respond, the platform of above-mentioned torsional oscillation response and expansion joint
The size of scale is closely related;At this point, torsional angle-time response of torsional angle data acquisition module automatic collection telescopic device or beam body
Curve, operation obtains corresponding static torsional angle, static step difference, dynamic torsional angle, dynamic amplitude peak value, according to measured dynamic torsional angle
Torsional property is determined with torsional property Evaluation model;Initial value is detected according to torsional property and current value determines antitorque deterioration rate;Quantization
Torsional property and antitorque deterioration rate detected value, can quantitatively evaluate the antitorque military service of highway bridge support and telescopic device
Can, the variation of the regular antitorque deterioration rate of tracking observation then can be early diagnosed and be identified and is assessed the antitorque military service performance of object
Deterioration and damage, while improving detection efficiency, improve the morning of highway bridge support and the antitorque military service performance of telescopic device
The identity and inspection reliability of phase damage.
As shown in Fig. 1, the antitorque military service Reliable Evaluating Methods of Their Performance of a kind of Expansion Units for Highway Bridges, steps are as follows:
S1: the particulars for being assessed object are obtained
Collect the data in detailed below for being assessed telescopic device:
Bridge type, type of support, runway number, is assessed all previous maintenance of bridge and maintenance report at telescopic device type
Announcement, currently known disease qualitative information and disease quantitative information;
Collect the following performance data for being assessed telescopic device:
Design stroke, torsional property detection initial value, current stroke, Current Temperatures, the speed limit for being assessed bridge, all previous
Detect temperature, all previous torsional property detected value and assessment result;
S2: torsional property Evaluation model is determined
Torsional property Evaluation model, torsional property include the static step difference mean value at expansion jointIt is poor with dynamic terrace
It is above-mentioned static state step difference refer under the conditions of no vehicle pass-through motivates, the static torsional angle θ at expansion jointSCaused seam
Static height difference;
Above-mentioned dynamic terrace difference refers under the conditions of the excitation of driving, dynamic torsional angle θDpCaused seam dynamic amplitude peak value
ΔDp;The anti-twisting property of telescopic device and beam body or the offset load resistance of support have been reacted in torsional angle response;
Detect speed per hour vTest=0.95 × vmax, v in formulamaxFor the speed limit for being assessed bridge;
When not driving a vehicle, static torsional angle θSIt can directly be measured and be obtained by torsional angle sensor, and calculated drawn by torsion angle in real time
The seam static state step difference Δ risenS=W × sin (θS);Driving is to detect speed per hour vTestBy being assessed object seam end face, turn round
Shake data collecting module collected torsional angle-time graph, calculates dynamic torsional angle θ in real timeDpWith dynamic amplitude peak deltaDp=W × sin
(θDp), repeatedly above-mentioned detection, is averaged θS、θDpAnd ΔDp;
Torsional property calculates as follows
In formula,
For by static torsional angle mean valueCaused static state step difference mean value;
For by dynamic torsional angle mean valueCaused dynamic amplitude peak-to-average;
ΔLimitFor be assessed object expansion joint allow misplace extreme value, according to JTG/T H21-2011 " Highway bridge technique shape
Condition evaluation criteria " 10.2.1 clause regulation expansion joint allow misplace extreme value value range be < 30mm;Expansion joint it is total
Vertical dislocation is static the sum of step difference mean value and dynamic amplitude peak value, and is not more than maximum allowable extreme value
Torsional property evaluation classification;
Torsional property value range is 1~0, point five evaluation levels: excellent, good, qualified, bad, disease;
1) torsional property is excellent, shows that driving is smooth and feels entirely without jolting, torsional property value range is Sθ≥0.90;
2) torsional property is good, shows to drive a vehicle smoothly but have slightly to jolt, torsional property value range is 0.9 > Sθ≥
0.75;
3) torsional property is qualified, shows that driving is smooth but jolts, torsional property value range is 0.75 > Sθ≥0.50;
4) torsional property is bad, shows severe turbulence of driving a vehicle, and torsional property value range is less than 0.50 > Sθ≥0.10;
5) torsional property disease shows that driving has and jumps vehicle sense or jump vehicle phenomenon, and torsional property value range is less than Sθ<
0.10;
S3: measurement is assessed the torsional property of object
First measure the static torsional angle θ that object is assessed when not driving a vehicleSAnd static step difference ΔS;Driving is logical to detect speed per hour
It crosses when being assessed object, acquires torsional angle-time graph, calculate dynamic torsional angle θ in real timeDpAnd the dynamic amplitude as caused by dynamic torsional angle
Peak deltaDp, sample frequency is not less than 1000Hz, and the sampling time is not 4 seconds low, according to surveying static step difference and dynamic amplitude peak value,
Calculate the total vertical dislocation Δ for determining and being assessed object seam end faceT=ΔS+ΔDp;
Repeat n times and detect above-mentioned detecting step, be averaged for
Torsional property detected value is
S4: judge whether from depth inspection
If torsional property detected value less than 0.5, is evaluated, torsional property is bad or torsional property disease, execution S5 are walked,
Carry out depth inspection to object is assessed;Otherwise, S6 step is directly executed, torsional property deterioration rate is determined and generates antitorque military service
Performance detection report;
S5: carry out depth inspection
The scene depth checks main contents are as follows: the integrity inspection of telescopic device, seam relative dislocation and step
Difference inspection, the status checkout of support, driving noise and vibration inspection, the step difference inspection for anchoring integrity checking, seam, support
State of the art and disease inspection, including qualitatively and quantitatively check;
Above-mentioned quantitative check include: variator step difference measurements, the integrality of telescopic device anchorage zone and crack detection,
Telescopic device slit width gap width and uniformity measurement, expansion joint twisting are measured with gyration;
Above-mentioned qualitative examination includes: Damage Types, position and the degree that disease inspection includes: telescopic device, telescopic device
Entirety and disease photo, Bearing Seat Force state and disease photo;
S6: antitorque deterioration rate is determined
Antitorque deterioration rate calculates as follows
In formula, Sθ1Torsional property detects initial value, for the first time torsional property being assessed after the newly-built completion of object or reparation
Detected value, SθnTorsional property detects current value, examines to be assessed the n-th detection cycle torsional property after the newly-built completion of object or reparation
Measured value;
Each detection cycle is usually 3 months, and longest is not more than 12 months.
S7: antitorque military service performance detection report is generated
Antitorque military service performance detection report includes following main contents:
Bridge type and pile No., runway number, detection time, detection cycle, Current Temperatures, are stretched at telescopic device type
Contracting gap width, detection speed per hour, torsional angle-time response curve, static torsional angle, static step difference, dynamic torsional angle, dynamic amplitude peak
Value, total vertical dislocation ΔT=ΔS+ΔDp, torsional property detected value, antitorque deterioration rate, military service technology evaluation result;
Operation obtain correspondingly,
Testing staff can input depth inspection result and suggest.
S8: torsional property deterioration process database is enriched
Following record is added in torsional property deterioration process database;
This detection time, detection cycle, detection temperature, detection speed per hour, torsional angle-time response curve, static torsional angle,
Static step difference, dynamic torsional angle, dynamic amplitude peak value, total vertical dislocation ΔT=ΔS+ΔDp, it is torsional property detected value, antitorque bad
Rate, live depth inspection result, assessment result and suggestion;
The depth inspection result includes the overall technology state of bridge extension joint and support system.
Embodiment
The present embodiment only illustrates a kind of concrete condition that the present invention is implemented, and does not limit other performances of the invention.
By taking certain highway bridge as an example, a kind of antitorque military service Reliable Evaluating Methods of Their Performance of Expansion Units for Highway Bridges according to the present invention completes its base
In the telescopic device and support system condition state of telescopic device torsional oscillation response measured result, the specific steps are as follows: S1: obtain
The particulars of object must be assessed
Being assessed the object highway bridge is prestressed concrete box-beam bridge, and time of completion is in June, 2012, telescopic device
For deformed steel list seam telescopic device, design stroke is 60mm, and curb-to-curb width value is W=7 meters, is resisted for the first time after completion
Torsion performance detection value is Sθ1=0.94;10 DEG C of current detection environment temperature, the 30mm slit width of current telescopic device, speed limit 100
Km/h, detection cycle be 6 months, this is detected as the 6th time, it is no maintenance and maintenance record, all previous torsional property detected value with
Assessment result is shown in Fig. 3;
S2: torsional property Evaluation model
Determine that Evaluation model is as follows using technology: the maximum allowable extreme value that vertically misplaces takes 20mm, and torsional property detects initial value
For Sθ1=0.94, detection speed per hour takes 95km/h, and curb-to-curb width value is W=7 meters.
S3: measurement is assessed object torsional property
Detection vehicle drives into above-mentioned before being assessed object, first measures static torsional angle and static step difference;It drives into and is assessed object
When, torsional oscillation data acquisition module automatic collection torsional angle-time graph, sample frequency 1000Hz, collecting sample is 4096, and
The dynamic torsional angle and dynamic amplitude peak value in driving time domain are calculated in real time;Above-mentioned detection repeats three times, and determines total vertical dislocation
Mean value;
For the first time measure static torsional angle be θS1=0.023 °, dynamic torsional angle be θDp1=0.019 °, calculate to obtain static step
Difference is Δs1=2.81mm, dynamic amplitude peak value are ΔDp1=2.32mm;
Measure for the second time static torsional angle be θS2=0.023 °, dynamic torsional angle is θDp2=0.021 °, calculate to obtain static step
Difference is Δs2=2.81mm, dynamic amplitude peak value are ΔDp2=2.57mm;
Third time measure static torsional angle be θS3=0.026 °, dynamic torsional angle is θDp3=0.022 °, calculate to obtain static step
Difference is ΔS3=3.18mm, dynamic amplitude peak value are ΔDp3=2.69mm;
It calculates and determines that total vertical dislocation is
Calculating torsional property detected value is
Δ in formulaLimitTake 20mm;
S4: judge whether from depth inspection
When by the 3rd lane telescopic device seam end face, torsional property detected value is Sθ=0.727 > 0.50, evaluation knot
Fruit is driving smoothly but jolts that torsional property is qualified, from depth inspection, executes S6 step;
S6: antitorque deterioration rate is determined
Known torsional property detection initial value is Sθ1=0.94, this is detected as the 6th detection cycle, torsional property detected value
Sθ6=0.727;Calculate to obtain antitorque deterioration rate are as follows:
S7: antitorque military service performance detection report is generated
Above-mentioned antitorque military service performance detection reports that main contents include:
Detection time: on January 18th, 2015, detection environment temperature: 10 degree, bridge type: prestressed concrete box-beam bridge,
Telescopic device type: deformed steel list seam telescopic device, the slit width 10mm of telescopic device, detection running speed 95km/h, torsional angle-
Time response curve, static torsional angle, static step difference, dynamic torsional angle, dynamic amplitude peak value, total vertical dislocation ΔT=ΔS+
ΔDp;Torsional property Sθ6=0.727, antitorque deterioration rate DS6=22.66%, evaluation result is that torsional property is qualified;
S8: torsional property deterioration process database is enriched
The following contents is added in torsional property deterioration process database:
Detection time: January 18, environment temperature in 2015: 10 degree, detection speed per hour: 95km/h, torsional angle-time response are bent
Line, static torsional angleStatic step differenceDynamic torsional angleDynamic amplitude peak valueTotal vertical dislocation ΔT=5.46mm, torsional property detected value: 0.727, it antitorque deterioration rate: 22.66%, stretches
Contracting slit width 10mm, maximum step difference: 5mm, evaluation result are that driving is smooth, torsional property is qualified.
Claims (5)
1. a kind of antitorque military service Reliable Evaluating Methods of Their Performance of Expansion Units for Highway Bridges, it is characterised in that: comprising steps of
S1: the particulars for being assessed object are obtained:
It collects and is assessed the essential information of telescopic device, be assessed all previous maintenance of bridge and maintenance report, the inspection of all previous torsional property
Measured value and assessment result;
S2: torsional property Evaluation model is established:
In formula,For by static torsional angle mean valueCaused static state step difference mean value;For by dynamic torsional angle mean valueCause
Dynamic amplitude peak-to-average;ΔLimitFor be assessed object expansion joint allow misplace extreme value;
S3: measurement is assessed the static torsional angle θ of object when without drivingSAnd static step difference ΔS;It is logical to detect speed per hour in driving
It crosses when being assessed object, acquires torsional angle-time graph, calculate dynamic torsional angle θ in real timeDpAnd the dynamic amplitude as caused by dynamic torsional angle
Peak deltaDp, according to the static step difference of actual measurement and dynamic amplitude peak deltaDp, calculating, which determines, is assessed the total vertical of object seam end face
Misplace ΔT=ΔS+ΔDp;Repeatedly above-mentioned detection, and be calculated and be assessed the average total vertical wrong of object seam end face
Position:N is detection number;Torsional property detected value is calculated according to S2;
S4: the torsional property detected value judgement obtained according to S3 is assessed whether object is investigated from depth;If torsional property is examined
Measured value then evaluates that torsional property is bad or torsional property disease less than 0.5, walks into S5;Otherwise, S6 step is directly executed;
S5: carry out depth inspection to object is assessed, the depth scope of examination is the integrity inspection of telescopic device, seam
Relative dislocation and step difference inspection, the status checkout of support, driving noise and vibration inspection, anchoring integrity checking, seam
Step difference inspection, the state of the art of support and disease inspection;
S6: the torsional property detected value meter obtained according to the S1 torsional property detection initial value for being assessed object obtained and step S3
Calculate antitorque deterioration rate:
In formula, Sθ1Torsional property detects initial value;SθnTorsional property detected value, to be assessed n-th after the newly-built completion of object or reparation
Detection cycle torsional property detected value.
2. the antitorque military service Reliable Evaluating Methods of Their Performance of Expansion Units for Highway Bridges according to claim 1, it is characterised in that: antitorque
Performance includes static step difference mean valueWith dynamic amplitude peak-to-averageThe static state step difference mean valueRefer in no vehicle
Under the conditions of current excitation, the static torsional angle θ at expansion jointSCaused seam static state height difference;The dynamic amplitude peak-to-average
Refer to the dynamic torsional angle θ under the conditions of excitation of drivingDpCaused seam dynamic amplitude peak deltaDp。
3. the antitorque military service Reliable Evaluating Methods of Their Performance of Expansion Units for Highway Bridges according to claim 1, it is characterised in that: described
Torsional property value range is 1~0, point five evaluation levels: excellent, good, qualified, bad, disease;
1) torsional property is excellent, shows that driving is smooth and feels entirely without jolting, torsional property value range is
Sθ≥0.90;
2) torsional property is good, shows to drive a vehicle smoothly but have slightly to jolt, torsional property value range is
0.9 > Sθ≥0.75;
3) torsional property is qualified, shows that driving is smooth but jolts, torsional property value range is
0.75 > Sθ≥0.50;
4) torsional property is bad, shows severe turbulence of driving a vehicle, and torsional property value range is 0.50 > Sθ≥0.10;
5) torsional property disease shows that driving has jump vehicle sense or jumps vehicle phenomenon, and torsional property value range is
Sθ< 0.10.
4. the antitorque military service Reliable Evaluating Methods of Their Performance of Expansion Units for Highway Bridges according to claim 1, it is characterised in that: described
Further include S7 after S6: generating antitorque military service performance detection report, including the following contents: bridge type and pile No., telescopic device
Type, runway number, detection time, detection cycle, Current Temperatures, flexible gap width, detection speed per hour, torsional angle-time ring
Answer curve, static torsional angle, static step difference, dynamic torsional angle, dynamic amplitude peak value, total vertical dislocation ΔT=ΔS+ΔDp, it is antitorque
Performance detection value, antitorque deterioration rate, military service technology evaluation result.
5. the antitorque military service Reliable Evaluating Methods of Their Performance of Expansion Units for Highway Bridges according to claim 4, it is characterised in that: described
Further include S8 after S7: enriching torsional property deterioration process database, is added in torsional property deterioration process database following
Record;This detection time, detection cycle, detection temperature, detection speed per hour, torsional angle-time response curve, static torsional angle, static state
Step difference, dynamic torsional angle, dynamic amplitude peak value, total vertical dislocation ΔT=ΔS+ΔDp, torsional property detected value, antitorque deterioration
Rate, live depth inspection result, assessment result and suggestion.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
SU989346A2 (en) * | 1981-06-11 | 1983-01-15 | Московский Ордена Трудового Красного Знамени Станкоинструментальный Институт | Device for investigating cylindrical gear dynamics |
CN101865778A (en) * | 2010-06-10 | 2010-10-20 | 重庆大学 | Torsional vibration excitation device and test bed of vehicle drive system |
CN202938995U (en) * | 2012-10-23 | 2013-05-15 | 芜湖环球汽车配件有限公司 | Car rear axle torsion beam detection tool |
CN203705163U (en) * | 2014-02-28 | 2014-07-09 | 南方英特空调有限公司 | Torsional vibration experimental equipment |
Family Cites Families (1)
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CN101865778A (en) * | 2010-06-10 | 2010-10-20 | 重庆大学 | Torsional vibration excitation device and test bed of vehicle drive system |
CN202938995U (en) * | 2012-10-23 | 2013-05-15 | 芜湖环球汽车配件有限公司 | Car rear axle torsion beam detection tool |
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