CN114486580B - Graphene microcapsule asphalt self-healing test evaluation method - Google Patents

Graphene microcapsule asphalt self-healing test evaluation method Download PDF

Info

Publication number
CN114486580B
CN114486580B CN202111619261.8A CN202111619261A CN114486580B CN 114486580 B CN114486580 B CN 114486580B CN 202111619261 A CN202111619261 A CN 202111619261A CN 114486580 B CN114486580 B CN 114486580B
Authority
CN
China
Prior art keywords
asphalt
graphene
microcapsule
healing
modulus
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202111619261.8A
Other languages
Chinese (zh)
Other versions
CN114486580A (en
Inventor
单丽岩
张恩浩
刘爽
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Harbin Institute of Technology
Original Assignee
Harbin Institute of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Harbin Institute of Technology filed Critical Harbin Institute of Technology
Priority to CN202111619261.8A priority Critical patent/CN114486580B/en
Publication of CN114486580A publication Critical patent/CN114486580A/en
Application granted granted Critical
Publication of CN114486580B publication Critical patent/CN114486580B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/32Investigating strength properties of solid materials by application of mechanical stress by applying repeated or pulsating forces
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0001Type of application of the stress
    • G01N2203/0005Repeated or cyclic
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0014Type of force applied
    • G01N2203/0025Shearing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058Kind of property studied
    • G01N2203/0069Fatigue, creep, strain-stress relations or elastic constants
    • G01N2203/0073Fatigue
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058Kind of property studied
    • G01N2203/0069Fatigue, creep, strain-stress relations or elastic constants
    • G01N2203/0075Strain-stress relations or elastic constants
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02Details not specific for a particular testing method
    • G01N2203/06Indicating or recording means; Sensing means
    • G01N2203/067Parameter measured for estimating the property
    • G01N2203/0676Force, weight, load, energy, speed or acceleration
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02Details not specific for a particular testing method
    • G01N2203/06Indicating or recording means; Sensing means
    • G01N2203/067Parameter measured for estimating the property
    • G01N2203/0682Spatial dimension, e.g. length, area, angle

Landscapes

  • 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)
  • Compositions Of Macromolecular Compounds (AREA)

Abstract

A self-healing test evaluation method for graphene microcapsule asphalt comprises the steps of firstly determining a fatigue test control load value range based on an intersection point of strain scanning test curves of matrix asphalt and graphene microcapsule asphalt; then carrying out continuous loading on graphene microcapsule asphaltFatigue test under formula (I) recording initial modulus G 0 End modulus G 1 Number of times of application of sum load N 1 (ii) a Then, carrying out fatigue test on the graphene microcapsule asphalt in an intermittent loading mode, and recording an initial modulus G 0 ', termination modulus G 1 ' and number of times of load application N 2 (ii) a Finally, the failure rates of the fatigue curves under two different loading modes are respectively calculated
Figure DDA0003437343570000011
And
Figure DDA0003437343570000012
to be provided with
Figure DDA0003437343570000013
As the healing index, the self-healing properties of the graphene microcapsule asphalt were evaluated. The method is beneficial to accurately evaluating the self-healing performance of the graphene microcapsule asphalt, and has very important significance on material design and engineering application of the graphene microcapsule asphalt.

Description

Graphene microcapsule asphalt self-healing test evaluation method
Technical Field
The invention belongs to the technical field of asphalt self-healing test evaluation methods, and particularly relates to a graphene microcapsule asphalt self-healing test evaluation method.
Background
The graphene microcapsule is a composite structure which is composed of a repairing agent as a core material, a resin material and graphene as a wall material. The asphalt doped with a proper amount of graphene microcapsules is called graphene microcapsule asphalt. Self-repairing healing mechanism of graphene microcapsule asphalt is prepared through breaking the microcapsule after asphalt damage the flowing-out of the repairing agent is realized. Due to the fact that the control load value is selected improperly in the existing asphalt self-healing test method, the graphene microcapsules can be broken in advance in the test process, and therefore the self-healing evaluation result is inaccurate. Therefore, it is necessary to design a self-healing test evaluation method specially for graphene microcapsule asphalt, graphene-enhanced microcapsule asphalt and (4) accuracy of self-healing judgment. The technology has important significance for development and performance evaluation of graphene microcapsule asphalt.
Disclosure of Invention
The invention aims to solve the problem that the existing asphalt self-healing evaluation method is not suitable for evaluating the self-healing performance of the graphene microcapsule asphalt, provides a test evaluation method for the self-healing performance of the graphene microcapsule asphalt and provides corresponding evaluation indexes.
To realize in the above-mentioned object, the object is, the technical scheme adopted by the invention is as follows:
<xnotran> , : </xnotran>
Respectively carrying out a strain scanning test on the asphalt before and after the graphene microcapsule is doped by using a dynamic shear rheometer, then respectively drawing dynamic modulus-strain relation curves of the matrix asphalt and the graphene microcapsule asphalt by using a strain abscissa and a dynamic modulus G as an ordinate, using the strain corresponding to the intersection point of the two curves as a control load threshold value, and taking the strain smaller than the threshold value as a control load value range;
step two, in order to save testing time, based on the result in the step one, selecting strain close to a threshold value as a control load, carrying out a fatigue test on the graphene microcapsule asphalt in a continuous loading mode to evaluate the self-healing performance of the graphene microcapsule asphalt, testing the change of the dynamic modulus of the graphene microcapsule asphalt along with the number of times of loading in the loading process, stopping loading when the dynamic modulus is reduced to a specified value, and recording an initial modulus G 0 End modulus G 1 Number of times of application of sum load N 1
Step three, evaluating the self-healing performance of the graphene microcapsule asphalt through a fatigue test in an intermittent loading mode, setting fixed loading time and intermittent time, repeatedly loading the sample, stopping loading when the dynamic modulus is reduced to a specified value, and recording the initial modulus G 0 ' s, terminal modulus G 1 ' and number of times of load application N 2
Step four, respectively calculating the failure rate of the fatigue test curve in the continuous loading mode
Figure BDA0003437343550000021
And in intermittent loading modeFailure rate of fatigue test curve
Figure BDA0003437343550000022
In the ratio of the two
Figure BDA0003437343550000023
As an index of healing;
and fifthly, evaluating the self-healing property of the graphene microcapsule asphalt based on the healing index, wherein the larger the healing index is, the stronger the self-healing property is.
Further, in the first step, the matrix asphalt is No. 70 matrix asphalt, the content of the graphene microcapsules in the graphene microcapsule asphalt is 5%, the test temperature of strain scanning is 25 ℃, the load application frequency is 10Hz, and the value range of the control load is 0-4.3%.
Further, in step two, the strain at the point of the close intersection is 3% or 4%.
Further, in the second step, the test temperature is 25 ℃, the load application frequency is 10Hz, and the test is stopped when the modulus is reduced to 40-50% of the initial modulus.
Furthermore, in the third step, the loading time of the fatigue test in the intermittent loading mode is 1s, the intermittent time range is 0 s-6 s, and the test is stopped when the modulus is reduced to 40% -50% of the initial modulus.
Compared with the prior art, the invention has the beneficial effects that: the invention provides a novel graphene microcapsule asphalt self-healing performance testing method and an evaluation index aiming at the problems that the graphene microcapsule is broken in advance and the self-healing performance of the graphene microcapsule cannot be evaluated accurately due to overlarge control load in the existing asphalt self-healing performance testing method, and the self-healing performance of the graphene microcapsule asphalt can be evaluated more accurately.
Drawings
FIG. 1 is a schematic diagram of a strain sweep test;
FIG. 2 is a schematic view of a sequential loading mode;
FIG. 3 is a schematic view of an intermittent loading mode;
FIG. 4 is a schematic of the fatigue test in continuous loading mode (modulus down to 40%);
FIG. 5 is a schematic of the fatigue test in intermittent loading mode (modulus down to 40%);
FIG. 6 is a schematic of the fatigue test in continuous loading mode (modulus down to 50%);
fig. 7 is a schematic of the fatigue test in intermittent loading mode (modulus down to 50%).
Detailed Description
The technical solution of the present invention is further described below with reference to the drawings and the embodiments, but the present invention is not limited thereto, and modifications or equivalent substitutions may be made to the technical solution of the present invention without departing from the spirit of the technical solution of the present invention, and the technical solution of the present invention is covered by the protection scope of the present invention.
Example 1:
a graphene microcapsule asphalt self-healing test evaluation method comprises the following specific operation processes:
the method comprises the following steps: respectively carrying out strain scanning tests on the matrix asphalt and the 5% graphene microcapsule asphalt by using a dynamic shear rheometer under the test conditions of 25 ℃ and 10Hz by using an 8mm flat plate, respectively drawing dynamic modulus-strain relation curves (shown in figure 1) of the matrix asphalt and the graphene microcapsule asphalt by using a strain abscissa and a dynamic modulus as an ordinate, wherein 4.3% of an intersection point of the two relation curves is a strain threshold value, and the value range of a control load is 0-4.3%;
step two: according to the result of the first step, 4% strain is selected as control load, a fatigue test (shown in figure 2) is carried out on 5% graphene microcapsule asphalt by adopting an 8mm flat plate and utilizing a dynamic shear rheometer in a continuous loading mode under the test conditions of 25 ℃ and 10Hz, the change of the dynamic modulus of the graphene microcapsule asphalt along with the load action frequency is tested, the test is stopped when the modulus is reduced to 40% of the initial modulus, and the initial modulus G is recorded 0 End modulus G 1 Number of times of application of sum load N 1
Step three: performing fatigue test on the graphene microcapsule asphalt in an intermittent loading mode under the same conditions as the conditions in the second step (as shown in figure 3), wherein the loading time is 1s, the intermittent time is 3s, and the loading is repeated until the loading is finishedThe modulus dropped to 40% of the initial modulus, and the initial modulus G was recorded 0 ', termination modulus G 1 ' and number of times of load application N 2
Step four: respectively calculating the failure rate of the fatigue test curve in the continuous loading mode
Figure BDA0003437343550000031
And failure rate of fatigue test curve in intermittent loading mode
Figure BDA0003437343550000032
(as shown in FIGS. 4 and 5) in the ratio of the two
Figure BDA0003437343550000033
As an index of healing;
step five: the self-healing property of the graphene microcapsule asphalt is evaluated based on the healing index, and the larger the healing index is, the stronger the self-healing property is.
Example 2:
a self-healing test evaluation method for graphene microcapsule asphalt comprises the following specific operation processes:
the method comprises the following steps: respectively performing a strain scanning test on No. 70 matrix asphalt and 5% graphene microcapsule asphalt by using a dynamic shear rheometer under the test conditions of 25 ℃ and 10Hz by using an 8mm flat plate, and then respectively drawing dynamic modulus-strain relation curves (shown in figure 1) of the matrix asphalt and the graphene microcapsule asphalt by using a strain abscissa and a dynamic modulus as an ordinate, wherein 4.3% of an intersection point of the two relation curves is a strain threshold value, and the value range of a control load is 0-4.3%;
step two: according to the result of the step one, 3% strain is selected as the control load, under the test condition of 25 ℃ and 10Hz, a fatigue test in a continuous loading mode was performed on 5% graphene microcapsule asphalt using a 8mm flat plate using a dynamic shear rheometer (as shown in figure 2), testing the change of the dynamic modulus of the graphene microcapsule asphalt along with the load action times, stopping the test when the dynamic modulus is reduced to 50% of the initial modulus, and recording the initial modulus G 0 Termination modulus G 1 Number of times of application of sum load N 1
Step three: performing a fatigue test in an intermittent loading mode on the graphene microcapsule asphalt by adopting the same conditions as the conditions in the second step (as shown in figure 3), wherein the loading time is 1s, the intermittent time is 1s, the loading is repeated until the modulus is reduced to 50% of the initial modulus, and the initial modulus G is recorded 0 ', termination modulus G 1 ' and number of times of load application N 2
Step four: respectively calculating the failure rate of the fatigue test curve in the continuous loading mode
Figure BDA0003437343550000041
And failure rate of fatigue test curve in intermittent loading mode
Figure BDA0003437343550000042
(as shown in FIGS. 6 and 7) in the ratio of the two
Figure BDA0003437343550000043
As an index of healing;
step five: the self-healing property of the graphene microcapsule asphalt is evaluated based on the healing index, and the larger the healing index is, the stronger the self-healing property is.

Claims (5)

1. A self-healing test evaluation method for graphene microcapsule asphalt is characterized by comprising the following steps: the method comprises the following steps:
respectively carrying out a strain scanning test on the asphalt before and after the graphene microcapsule is doped by using a dynamic shear rheometer, then respectively drawing dynamic modulus-strain relation curves of the matrix asphalt and the graphene microcapsule asphalt by using a strain abscissa and a dynamic modulus G as an ordinate, using the strain corresponding to the intersection point of the two curves as a control load threshold value, and taking the strain smaller than the threshold value as a control load value range;
step two, selecting strain close to a threshold value as a control load based on the result in the step one, carrying out a fatigue test on the graphene microcapsule asphalt in a continuous loading mode to evaluate the self-healing performance of the graphene microcapsule asphalt, and testing the dynamic behavior of the graphene microcapsule asphalt in the loading processThe change of the dynamic modulus along with the number of times of the load, stopping the loading when the dynamic modulus is reduced to a specified value, and recording the initial modulus G 0 End modulus G 1 Number of times of application of sum load N 1
Step three, evaluating the self-healing performance of the graphene microcapsule asphalt through a fatigue test in an intermittent loading mode, setting fixed loading time and intermittent time, repeatedly loading the sample, stopping loading when the dynamic modulus is reduced to a specified value, and recording the initial modulus G 0 ', termination modulus G 1 ' and number of times of load application N 2
Step four, respectively calculating the failure rate of the fatigue test curve in the continuous loading mode
Figure FDA0003876477460000011
And failure rate of fatigue test curve in intermittent loading mode
Figure FDA0003876477460000012
In the ratio of the two
Figure FDA0003876477460000013
As an index of healing;
and fifthly, evaluating the self-healing property of the graphene microcapsule asphalt based on the healing index.
2. The graphene microcapsule asphalt self-healing test evaluation method according to claim 1, characterized in that: in the first step, the matrix asphalt is No. 70 matrix asphalt, the content of the graphene microcapsules in the graphene microcapsule asphalt is 5%, the test temperature of strain scanning is 25 ℃, the load application frequency is 10Hz, and the value range of the controlled load is 0-4.3%.
3. The graphene microcapsule asphalt self-healing test evaluation method according to claim 1, characterized in that: in the second step, the strain near the threshold is 3% or 4%.
4. The graphene microcapsule asphalt self-healing test evaluation method according to claim 1, characterized in that: in the second step, the test temperature is 25 ℃, the load application frequency is 10Hz, and the test is stopped when the modulus is reduced to 40-50% of the initial modulus.
5. The graphene microcapsule asphalt self-healing test evaluation method according to claim 1, characterized in that: in the third step, the loading time of the fatigue test in the intermittent loading mode is 1s, the intermittent time range is 0 s-6 s, and the test is stopped when the modulus is reduced to 40% -50% of the initial modulus.
CN202111619261.8A 2021-12-27 2021-12-27 Graphene microcapsule asphalt self-healing test evaluation method Active CN114486580B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111619261.8A CN114486580B (en) 2021-12-27 2021-12-27 Graphene microcapsule asphalt self-healing test evaluation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111619261.8A CN114486580B (en) 2021-12-27 2021-12-27 Graphene microcapsule asphalt self-healing test evaluation method

Publications (2)

Publication Number Publication Date
CN114486580A CN114486580A (en) 2022-05-13
CN114486580B true CN114486580B (en) 2022-11-29

Family

ID=81495736

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111619261.8A Active CN114486580B (en) 2021-12-27 2021-12-27 Graphene microcapsule asphalt self-healing test evaluation method

Country Status (1)

Country Link
CN (1) CN114486580B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114878795B (en) * 2022-05-31 2023-03-21 北京工业大学 Method and device for evaluating self-healing capacity of asphalt damage based on energetics

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102879272B (en) * 2012-09-29 2014-09-24 长安大学 Method for evaluating damage self-healing capacity of asphalt mortar
CN103487333B (en) * 2013-10-11 2015-06-17 东南大学 Asphalt mixture self-healing capability evaluating method
CN108169032A (en) * 2017-12-15 2018-06-15 东南大学 A kind of Fatigue Damage of Asphalt Mixture healing properties evaluation method based on semi-circular bending test
CN109613221A (en) * 2018-12-27 2019-04-12 北京工业大学 A kind of test method of test road asphalt damage self-healing performance
CN110511435B (en) * 2019-09-29 2021-01-05 武汉理工大学 Preparation method of attapulgite/calcium alginate composite wall material asphalt self-healing capsule
CN113433305B (en) * 2021-06-24 2022-04-26 哈尔滨工业大学 Asphalt self-healing capability evaluation method for separating thixotropy influence

Also Published As

Publication number Publication date
CN114486580A (en) 2022-05-13

Similar Documents

Publication Publication Date Title
CN114486580B (en) Graphene microcapsule asphalt self-healing test evaluation method
Li et al. Time-dependent tests on intact rocks in uniaxial compression
CN103698709A (en) Method for predicting residual life of fuel cell
CN113433304B (en) Method for testing and evaluating self-healing performance of asphalt
CN113433305B (en) Asphalt self-healing capability evaluation method for separating thixotropy influence
CN110260907B (en) Temperature stress failure-free accelerated life test method for sensor
CN102543216B (en) A kind of method of testing of flash memory
WO2023029793A1 (en) Method for constructing rock creep damage constitutive model under freeze-thaw cycle action
CN105469834A (en) Testing method for embedded flash memory
CN111551457A (en) Method for testing and evaluating asphalt healing performance
CN101246444B (en) Module testing method and system
CN111351697A (en) Method for evaluating reliability of gold bonding wire
CN102661848A (en) Determining method for key fault characteristic of reliability of intelligent ammeter liquid crystal device
CN105448346B (en) The test method of storage unit reliability
Wu et al. Investigation of LAS-based fatigue evaluation methods for high-viscosity modified asphalt binders with high-content polymers
CN110907296A (en) Method for identifying flow times of dynamic creep test of asphalt mixture
CN116165082A (en) Rapid acquisition method of asphalt strain-fatigue life curve
Zhao et al. Fatigue damage evolution and self-healing performance of asphalt materials under different influence factors and damage degrees
Hoefler et al. Statistical modeling of the program/erase cycling acceleration of low temperature data retention in floating gate nonvolatile memories
CN114354403B (en) Method for testing and evaluating self-healing performance of graphene microcapsule asphalt mortar under double-machine mechanism
CN111413624B (en) Fuel cell service life and residual life reciprocal prediction method and device
CN109975131B (en) Method for detecting storage aging defect of resin encapsulated product
CN113686707A (en) Asphalt fatigue performance testing and evaluating method for separating thixotropy and nonlinear influence
CN111504777A (en) Method for reading elastic modulus of non-uniform material
CN113838518A (en) Method for testing reliability of flash memory and computer-readable storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant