CN107436266A - Asphalt random loading method based on UTM testing machines - Google Patents
Asphalt random loading method based on UTM testing machines Download PDFInfo
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- CN107436266A CN107436266A CN201710584132.7A CN201710584132A CN107436266A CN 107436266 A CN107436266 A CN 107436266A CN 201710584132 A CN201710584132 A CN 201710584132A CN 107436266 A CN107436266 A CN 107436266A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/32—Investigating strength properties of solid materials by application of mechanical stress by applying repeated or pulsating forces
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0001—Type of application of the stress
- G01N2203/0005—Repeated or cyclic
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0014—Type of force applied
- G01N2203/0016—Tensile or compressive
- G01N2203/0019—Compressive
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/003—Generation of the force
- G01N2203/0032—Generation of the force using mechanical means
- G01N2203/0037—Generation of the force using mechanical means involving a rotating movement, e.g. gearing, cam, eccentric, or centrifuge effects
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0058—Kind of property studied
- G01N2203/0069—Fatigue, creep, strain-stress relations or elastic constants
- G01N2203/0073—Fatigue
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- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
Abstract
The present invention discloses a kind of asphalt random loading method based on UTM testing machines, comprises the following steps：(10) basic data acquisition：Using dynamic weighing system, collection and storage highway different periods, track, the vehicle characteristics parameter of vehicle and parameters of loading, database is established；(20) survey axle and carry probabilistic model foundation：According to the basic data of collection, suitable probability Distribution Model is selected using mathematical statistics method analysis, characterizes different track axle load distributions；(30) random load model is worked out：Vehicular load is subjected to random alignment using random function, generation meets axle and carries being carried with arbor for probability Distribution Model；(40) random load loads：Window is set using the loading of UTM testing machines, random load is converted into spectrum of adjusting to changed conditions, random load loading is carried out to the asphalt in fatigue test and dynamic modulus performance test.The loading method of the present invention, accuracy is high, practicality is good.
Description
Technical field
The invention belongs to road engineering fatigue performance of asphalt mixture experimental technique field, more particularly to a kind of accuracy
High, the good asphalt random loading method based on UTM testing machines of practicality.
Background technology
Vehicular load spectrum functions number by the size of the load (axle load) suffered by structure and formed, also known as load frequency
Value spectrum.Research to vehicular load spectrum, in terms of being concentrated mainly on bridge and road structure.In terms of road, vehicular load spectrum is used
In analysis of fatigue and fatigue design.On the research of fatigue load spectrum, the specific road in main some area by inquiry of research
The volume of traffic and vehicle, vehicle is carried out according to equivalent fatigue damage principle to simplify merging, be adapted to each area so as to compile and edit
Traffic spectra.
Vehicular load is a kind of random load, and the vehicular load acted on different periods, different sections of highway structure is different.
The traffic spectra obtained by direct surveys is relative complex, unordered, should not directly apply to experimental study.Need by investigation obtain with
Machine load process is compiled into applicable random load spectrum by statistical analysis.
UTS015 girders fatigue tester in UTM testing machines includes Control ＆ data acquisition system and Testing Software.
The digital SERVO CONTROL pneumatic brake of the testing equipment provides accurate Loaded contact analysis control, can carry out sine wave, half
Strain, the loading of Stress Control pattern of sine wave.
When carrying out girder repeated bend test using UTM fatigue testers, two kinds of load controlling mode is divided into：Stress Control and should
Become control.Stress Control mode refers to that load (or stress) keeps constant applied in repetition loading procedure, as load is made
With the increase of number, asphalt intensity is gradually reduced, bottom strain gradually increase, untill test specimen is broken.During destruction
The total degree of stress repeat function is exactly the fatigue life of asphalt.Strain controlling refer in test, keep amount of deflection or
The strain peak-to-valley value of person's test specimen bottom is constant.With the increase of load number of repetition, the intensity of compound declines, in order to keep trying
Part bottom is strained or amount of deflection is constant, and imposed load is gradually reduced, so that stress diminishes.Different load modes are in reflection pitch mixing
Expect that there were significant differences in terms of fatigue properties.
In real road, surface material is bearing the effect of vehicle random load always, and number is loaded in experiment and is answered
Power is horizontal random to be applied in experiment, untill test specimen destroys.The load for acting on bituminous paving is random lotus
Carry.
Fatigue damage and fatigue life of the different load modes, loading sequence to asphalt pavement material have one to be fixed
Ring.It is less to acting directly on the research of the actual traffic axle load spectrum road pavement material property on bituminous paving both at home and abroad.Using normal
Rule standard loading mode, evaluation material property have certain otherness with road surface actual loading situation.It is actual to be difficult to accurate determination
Random axle load spectrum on road surface.
The content of the invention
It is an object of the invention to provide a kind of asphalt random loading method based on UTM testing machines, accuracy
Height, practicality are good.
The technical scheme for realizing the object of the invention is：
A kind of asphalt random loading method based on UTM testing machines, comprises the following steps：
(10) basic data acquisition：Using dynamic weighing system, collection and storage highway different periods, different tracks
And the vehicle characteristics parameter and parameters of loading of different automobile types, vehicle characteristics and parameters of loading database are established, the vehicle is special
Levying parameter includes axletree quantity, axletree type, axletree spacing of vehicle etc., and the parameters of loading refers to corresponding to each axletree
Axle weight；
(20) survey axle and carry probabilistic model foundation：According to the basic data of collection, selected using mathematical statistics method analysis
Suitable probability Distribution Model, characterize different track axle load distributions；
(30) random load model is worked out：Vehicular load is subjected to random alignment using random function, generation meets axle load
Probability Distribution Model carries with arbor；
(40) random load loads：Window is set using the loading of UTM testing machines, random load is converted into adjusting to changed conditions
Spectrum, random load loading is carried out to the asphalt in fatigue test and dynamic modulus performance test.
Compared with prior art, its remarkable advantage is the present invention：
1st, accuracy is high：A kind of implementation method that random loading is carried out based on UTM testing machines that the invention proposes, selection are double
Peak normal distribution probability distribution, determines each parameter, the probability for obtaining runway and fast axle load distribution is close with reference to approximating method
Function formula is spent, MATLAB softwares can be utilized to be programmed the random load model realized and meet road surface actual axle load situation,
Scientific and effective method is taken, not only avoids error, and accuracy is high.
2nd, practicality is good：A kind of implementation method that random loading is carried out based on UTM testing machines that the invention proposes, Ke Yili
The random load model for realizing and meeting road surface actual axle and carrying situation is programmed with MATLAB softwares, the axle met is generated and carries probability
Distributed model is carried with arbor, and random load is converted into adjusting to changed conditions and composed in input UTM testing machines, is applied to asphalt
In the performance test such as fatigue test and dynamic modulus, effectively apply in the evaluation of bituminous pavement property, it is simple to operate, it is practical
Property is good.
Brief description of the drawings
Fig. 1 is the main flow chart of the asphalt random loading method of the invention based on UTM testing machines.
Embodiment
As shown in figure 1, the asphalt random loading method of the invention based on UTM testing machines, comprises the following steps：
(10) basic data acquisition：Using dynamic weighing system, collection and storage highway different periods, different tracks
And the vehicle characteristics parameter and parameters of loading of different automobile types, vehicle characteristics and parameters of loading database are established, the vehicle is special
Levying parameter includes axletree quantity, axletree type, axletree spacing of vehicle etc., and the parameters of loading refers to corresponding to each axletree
Axle weight；
Described dynamic weighing system is the weighing system of express highway section difference charge station.
In (10) the basic data acquisition step, described dynamic weighing system is that Beijing-Shanghai Expressway Yihe River Huai Jiang sections exist
Two section Xinyihe River bridges (K759+131) and Yongan He Qiao (K893+637) are mounted with dynamic weighing system.Pacify in two sections
Filled dynamic weighing system, the system per track install 2 piezoelectricity weighing sensors and, 1 ground induction coil, and with roadside pass
Sensor connects, when vehicle by when, piezoelectricity weighing sensor exports corresponding voltage signal, it can thus be concluded that to gross combination weight,
The information such as axle weight, length, speed.
(20) survey axle and carry probabilistic model foundation：According to the basic data of collection, selected using mathematical statistics method analysis
Suitable probability Distribution Model, characterize different track axle load distributions；
Described (20) actual measurement axle is carried in probabilistic model establishment step, the probability distribution for characterizing different track axle load distributions
Model is bimodal normal distribution model：
Using mathematical statistics method combination MATLAB, ORIGIN software analysis be calculated corresponding probability Distribution Model come
The model of axle load spectrum distribution is characterized, the axle load distribution of complexity is carried out by the average value and standard deviation for describing each composition distribution
Sign can react its distribution characteristics well.
(30) random load model is worked out：Vehicular load is subjected to random alignment using random function, generation meets axle load
Probability Distribution Model carries with arbor；
(30) the random load model establishment step is specially：
It is programmed using MATLAB softwares, a load-on module is loaded as with 1000 times, will according to hour breadth coefficient
Load-on module is divided into the section loadingsequence of 24 different loading numbers, and each loadingsequence is write using randn functions
Generate the axle met and carry being carried with arbor for probability Distribution Model, obtain meeting carrying with arbor for axle load probability Distribution Model.From life
Into random load distribution it can be seen that caused by the actual axle load distribution in random load and road surface be close.
(40) random load loads：Window is set using the loading of UTM testing machines, random load is converted into adjusting to changed conditions
Spectrum, random load loading is carried out to the asphalt in fatigue test and dynamic modulus performance test.
Loading to UTM equipment sets window individually to be developed, and random loading parameter and horizontal exploitation are added into one
Module is carried, the random load spectrum that is converted into adjusting to changed conditions is applied to the performance tests such as asphalt mixture fatigue testing and dynamic modulus
In.
Claims (4)
- A kind of 1. asphalt random loading method based on UTM testing machines, it is characterised in that comprise the following steps：(10) basic data acquisition：Using dynamic weighing system, collection and storage highway different periods, different tracks and The vehicle characteristics parameter and parameters of loading of different automobile types, establish vehicle characteristics and parameters of loading database, the vehicle characteristics ginseng Number includes axletree quantity, axletree type, axletree spacing of vehicle etc., and the parameters of loading refers to the axle corresponding to each axletree Weight；(20) survey axle and carry probabilistic model foundation：According to the basic data of collection, it is suitable to be selected using mathematical statistics method analysis Probability Distribution Model, characterize different track axle load distributions；(30) random load model is worked out：Vehicular load is subjected to random alignment using random function, generation meets axle and carries probability Distributed model carries with arbor；(40) random load loads：Window is set using the loading of UTM testing machines, random load is converted into spectrum of adjusting to changed conditions, Random load loading is carried out to the asphalt in fatigue test and dynamic modulus performance test.
- 2. random loading method according to claim 1, it is characterised in that：In (10) the basic data acquisition step, described dynamic weighing system is the title of express highway section difference charge station Weight system.
- 3. random loading method according to claim 1, it is characterised in that：Described (20) actual measurement axle is carried in probabilistic model establishment step, the probability Distribution Model for characterizing different track axle load distributions For bimodal normal distribution model.
- 4. random loading method according to claim 1, it is characterised in that (30) the random load model establishment step Specially：It is programmed using MATLAB softwares, a load-on module is loaded as with 1000 times, will be loaded according to hour breadth coefficient The section loadingsequence that module is divided into 24 different loading numbers writes generation to each loadingsequence using randn functions The axle met carries being carried with arbor for probability Distribution Model, obtains meeting carrying with arbor for axle load probability Distribution Model.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710584132.7A CN107436266A (en) | 2017-07-18 | 2017-07-18 | Asphalt random loading method based on UTM testing machines |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710584132.7A CN107436266A (en) | 2017-07-18 | 2017-07-18 | Asphalt random loading method based on UTM testing machines |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116165522A (en) * | 2023-04-26 | 2023-05-26 | 长鑫存储技术有限公司 | Performance verification method and system for row hammer protection circuit |
| CN117197760A (en) * | 2023-09-06 | 2023-12-08 | 东南大学 | Bridge vehicle load distribution long-term monitoring method based on video monitoring |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102998081A (en) * | 2012-12-17 | 2013-03-27 | 黑龙江省博凯科技开发有限公司 | Method for performing bridge monitoring by using multiple strapdown inertial systems |
-
2017
- 2017-07-18 CN CN201710584132.7A patent/CN107436266A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102998081A (en) * | 2012-12-17 | 2013-03-27 | 黑龙江省博凯科技开发有限公司 | Method for performing bridge monitoring by using multiple strapdown inertial systems |
Non-Patent Citations (2)
| Title |
|---|
| 钱武彬: "基于随机荷载谱的渐青混合料疲劳性能研究", 《中国优秀硕士学位论文全文数据库（电子期刊）工程科技Ⅱ辑》 * |
| 韦金城 等: "永久性沥青路面试验路力学响应分布的数值仿真", 《公路交通科技》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116165522A (en) * | 2023-04-26 | 2023-05-26 | 长鑫存储技术有限公司 | Performance verification method and system for row hammer protection circuit |
| CN117197760A (en) * | 2023-09-06 | 2023-12-08 | 东南大学 | Bridge vehicle load distribution long-term monitoring method based on video monitoring |
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Application publication date: 20171205 |