CN114486580A - Graphene microcapsule asphalt self-healing test evaluation method - Google Patents

Graphene microcapsule asphalt self-healing test evaluation method Download PDF

Info

Publication number
CN114486580A
CN114486580A CN202111619261.8A CN202111619261A CN114486580A CN 114486580 A CN114486580 A CN 114486580A CN 202111619261 A CN202111619261 A CN 202111619261A CN 114486580 A CN114486580 A CN 114486580A
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.)
Granted
Application number
CN202111619261.8A
Other languages
Chinese (zh)
Other versions
CN114486580B (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 fatigue test on the graphene microcapsule asphalt in a continuous loading mode, and recording the initial modulus G0End modulus G1Number of times of application of sum load N1(ii) a Then, carrying out fatigue test on the graphene microcapsule asphalt in an intermittent loading mode, and recording an initial modulus G0', termination modulus G1' and number of times of load application N2(ii) a Finally, the failure rates of the fatigue curves under two different loading modes are calculated respectively
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 accurate evaluation of 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 mixed with a proper amount of graphene microcapsules is called graphene microcapsule asphalt. The self-repairing healing mechanism of the graphene microcapsule asphalt is realized by microcapsule rupture and repairing agent outflow after asphalt damage. 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 to improve the accuracy of judging the self-healing of the graphene microcapsule asphalt. 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.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a self-healing test evaluation method for graphene microcapsule asphalt 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, in order to save the testing time, based on the result in the step one, the strain close to the threshold value is selected as the control load, the fatigue test in the continuous loading mode is carried out on the graphene microcapsule asphalt to evaluate the self-healing performance of the graphene microcapsule asphalt, and the graphene micro-scale in the loading process is testedThe dynamic modulus of the capsule asphalt changes along with the frequency of the load action, the loading is stopped when the dynamic modulus drops to a specified value, and the initial modulus G is recorded0End modulus G1Number of times of application of sum load N1
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 G0', termination modulus G1' and number of times of load application N2
Step four, respectively calculating the failure rate of the fatigue test curve in the continuous loading mode
Figure BDA0003437343550000021
And failure rate of fatigue test curve in intermittent loading mode
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 method for testing the self-healing property of graphene microcapsule asphalt and evaluation indexes, which aims at solving the problems that the self-healing property of the graphene microcapsule cannot be accurately evaluated because the graphene microcapsule is broken in advance due to overlarge control load in the conventional asphalt self-healing property testing method.
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 self-healing test evaluation method for graphene microcapsule asphalt comprises the following specific operation processes:
the method comprises the following steps: under the test conditions of 25 ℃ and 10Hz, respectively carrying out strain scanning tests on the matrix asphalt and the 5% graphene microcapsule asphalt by using a dynamic shear rheometer by using an 8mm flat plate, then respectively drawing dynamic modulus-strain relation curves (shown in figure 1) of the matrix asphalt and the graphene microcapsule asphalt by using strain abscissa and dynamic modulus as ordinate, wherein 4.3% of the intersection point of the two relation curves is a strain threshold value, and the value range of the 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 recorded0End modulus G1Number of times of application of sum load N1
Step three: and (3) carrying out fatigue test on the graphene microcapsule asphalt in an intermittent loading mode under the same conditions as those in the second step (as shown in figure 3), wherein the loading time is 1s, the intermittent time is 3s, the loading is repeated until the modulus is reduced to 40% of the initial modulus, and the initial modulus G is recorded0', termination modulus G1' and number of times of load application N2
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 carrying out 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, 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 first step, 3% 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 dynamic modulus is reduced to 50% of the initial modulus, and the initial modulus G is recorded0End modulus G1Number of times of application of sum load N1
Step three: performing fatigue test on the graphene microcapsule asphalt in an intermittent loading mode under the same conditions as those 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 recorded0', termination modulus G1' and number of times of load application N2
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 the strain close to the threshold value as a control load based on the result in the step one, carrying out 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 drops to a specified value, and recording the initial modulus G0End modulus G1Number of times of application of sum load N1
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 G0', termination modulus G1' and number of times of load application N2
Step four, respectively calculating the failure rate of the fatigue test curve in the continuous loading mode
Figure FDA0003437343540000011
And failure rate of fatigue test curve in intermittent loading mode
Figure FDA0003437343540000012
In the ratio of the two
Figure FDA0003437343540000013
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 step two, the strain at the point of the close intersection 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 true CN114486580A (en) 2022-05-13
CN114486580B 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)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114878795A (en) * 2022-05-31 2022-08-09 北京工业大学 Method and device for evaluating self-healing capacity of asphalt damage based on energetics

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102879272A (en) * 2012-09-29 2013-01-16 长安大学 Method for evaluating damage self-healing capacity of asphalt mortar
CN103487333A (en) * 2013-10-11 2014-01-01 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
NL2026510A (en) * 2019-09-29 2021-04-19 Univ Wuhan Tech Method for preparing capsules with attapulgite/calcium alginate composite wall for asphalt self-healing
CN113433305A (en) * 2021-06-24 2021-09-24 哈尔滨工业大学 Asphalt self-healing capability evaluation method for separating thixotropy influence

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102879272A (en) * 2012-09-29 2013-01-16 长安大学 Method for evaluating damage self-healing capacity of asphalt mortar
CN103487333A (en) * 2013-10-11 2014-01-01 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
NL2026510A (en) * 2019-09-29 2021-04-19 Univ Wuhan Tech Method for preparing capsules with attapulgite/calcium alginate composite wall for asphalt self-healing
CN113433305A (en) * 2021-06-24 2021-09-24 哈尔滨工业大学 Asphalt self-healing capability evaluation method for separating thixotropy influence

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
DAQUAN SUN等: "Aided regeneration system of aged asphalt binder based on microcapsule technology", 《CONSTRUCTION AND BUILDING MATERIALS》 *
YIQIU TAN等: "Healing characteristics of asphalt binder", 《CONSTRUCTION AND BUILDING MATERIALS》 *
纪小平等: "密级配沥青混合料自愈性能的评价方法", 《中国公路学报》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114878795A (en) * 2022-05-31 2022-08-09 北京工业大学 Method and device for evaluating self-healing capacity of asphalt damage based on energetics

Also Published As

Publication number Publication date
CN114486580B (en) 2022-11-29

Similar Documents

Publication Publication Date Title
Martin et al. Transient and steady-state shear banding in aging soft glassy materials
Ottosen Nonlinear finite element analysis of pull-out test
US20160299046A1 (en) A method of measurement and determination on fracture toughness of structural materials at high temperature
CN114486580A (en) Graphene microcapsule asphalt self-healing test evaluation method
CN103698709A (en) Method for predicting residual life of fuel cell
CN102385046B (en) Weibull distribution-based method for determining minimum test time of prolonging service life of intelligent electric meter
CN110260907A (en) A kind of temperature stress no-failure acceleration service life test method for sensor
CN106769456A (en) Fully graded concrete long-term behaviour test device and method under a kind of load of long duration
CN102543216B (en) A kind of method of testing of flash memory
CN113433305A (en) Asphalt self-healing capability evaluation method for separating thixotropy influence
CN111551457A (en) Method for testing and evaluating asphalt healing performance
CN111351697A (en) Method for evaluating reliability of gold bonding wire
CN105448346B (en) The test method of storage unit reliability
CN115266433A (en) Fatigue crack propagation threshold value testing method
CN102661848A (en) Determining method for key fault characteristic of reliability of intelligent ammeter liquid crystal device
CN110907296A (en) Method for identifying flow times of dynamic creep test of asphalt mixture
CN105158147B (en) Device and method for testing aging of sealing ring material
CN101154468A (en) Test method for embedded memory chip
CN116432461B (en) Concrete creep characteristic prediction method and device, electronic equipment and storage medium
CN103422484A (en) Method for evaluating ground coefficient K30 values of high-speed railway bed coarse particle soil padding
CN116153381A (en) Flash memory particle life prediction method, device, equipment and readable storage medium
Li et al. Prediction Formula Describing Viscoelasticity of Unvulcanized Rubber Compound Based on Time‐Temperature Equivalent Superposition Principle
CN109975131B (en) Method for detecting storage aging defect of resin encapsulated product
Sullivan et al. The nonlinear viscoelastic behavior of a carbon‐black‐filled elastomer
CN114354403B (en) Method for testing and evaluating self-healing performance of graphene microcapsule asphalt mortar under double-machine mechanism

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