CN108846143A - A kind of pitch based on integrated data Optimality Criteria is glutinous to play model parameter identification method - Google Patents

A kind of pitch based on integrated data Optimality Criteria is glutinous to play model parameter identification method Download PDF

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Publication number
CN108846143A
CN108846143A CN201810252815.7A CN201810252815A CN108846143A CN 108846143 A CN108846143 A CN 108846143A CN 201810252815 A CN201810252815 A CN 201810252815A CN 108846143 A CN108846143 A CN 108846143A
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test
parameter
glutinous
model
pitch
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单丽岩
徐亚男
田霜
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Harbin Institute of Technology
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Harbin Institute of Technology
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06F30/20Design optimisation, verification or simulation

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Abstract

The present invention provides a kind of glutinous bullet model parameter identification methods of pitch based on integrated data Optimality Criteria, belong to the glutinous bullet model parameter identification method technical field of pitch.The method of the present invention is as follows:Dynamic frequency scanning test, static creep test and stress relaxation test are carried out to pitch using dynamic shear rheometer, dynamic modulus master curve, phase angle principal curve are established based on test data, and draws creep compliance-time graph and relaxation modulus-time graph;The glutinous bullet model of pitch is established, derives each glutinous bullet parameter expression, the i.e. match value of model;According to integrated data Optimality Criteria, model parameter is recognized, and then modifies model parameter, one group of corresponding parameter is as the parameter value in final mask when using squared difference and minimum.The present invention has comprehensively considered the dynamic and static viscous-elastic behaviour of pitch, characterizes the viscoelasticity energy of asphalt material comprehensively for model, and significant to the design and maintenance of bituminous pavement.

Description

A kind of pitch based on integrated data Optimality Criteria is glutinous to play model parameter identification method
Technical field
The present invention relates to a kind of glutinous bullet model parameter identification methods of pitch based on integrated data Optimality Criteria, belong to pitch It is glutinous to play model parameter identification method technical field.
Background technique
Viscoelastic response model is widely used in the characterization of pitch viscoelasticity energy.The glutinous parameter identification for playing model depends primarily on Optimality Criteria, based on the parameter identification method of Different Optimization criterion, the characterization ability of model has significant difference.Currently, grinding Studying carefully personnel mostly uses single dynamically or statically sticking to play the identification that data carry out model parameter as Optimality Criteria, to lead It causes model to be only capable of the viscoelasticity energy of the description single aspect of pitch, cannot reflect the viscoelasticity energy of pitch comprehensively.Therefore based on synthesis The Optimality Criteria of data proposes a kind of glutinous parameter identification method for playing model of pitch, this describes the glutinous bullet of pitch to model comprehensively Performance, and highly important meaning is suffered to the design and maintenance of bituminous pavement.
Summary of the invention
The purpose of the present invention is to solve based on the parameter identification method under current optimization criterion, model cannot comprehensive table The technical issues of levying pitch viscoelasticity energy, and then provide a kind of glutinous bullet model parameter of the pitch based on integrated data Optimality Criteria Discrimination method.
The purpose of the present invention is what is be achieved through the following technical solutions:
A kind of pitch based on integrated data Optimality Criteria is glutinous to play model parameter identification method, includes the following steps:
Step 1: carrying out dynamic frequency scanning test, static creep test and stress to pitch with dynamic shear rheometer Relaxation test, the dynamic modulus during acquisition test | G*|, the dynamic and static number such as phase angle δ, creep compliance J and relaxation modulus G According to;
Step 2: dynamic frequency scanning test data obtained in step 1 is analyzed and processed, according to time-temperature The principle of equal effects establishes viscoelastic function principal curve, draws dynamic modulus master curve and phase angle principal curve;For static creep test With stress relaxation test data, using the time as abscissa, creep compliance be ordinate draw creep compliance-time graph, with when Between be abscissa, relaxation modulus be ordinate draw relaxation modulus-time graph;
Step 3: establishing, pitch is glutinous to play model, derives each glutinous expression formula for playing parameter by model constitutive equation, sticks and play parameter Including dynamic modulus, phase angle, creep compliance and relaxation modulus, and then the basic test data according to obtained in step 1 calculate Each glutinous match value for playing parameter, the glutinous match value for playing parameter indicate with subscript e, and calculates the flat of test value and match value difference Fang He establishes the fitting criterion of integrated data:
Step 4: according to integrated data fitting criterion fminCurve obtained in step 2 is fitted using model, into And model parameter is modified, make fminConstantly reduce, works as fminA corresponding group model parameter value is as final mask when minimum Parameter value.
Beneficial effects of the present invention:
The present invention is based on the Optimality Criterias of integrated data, comprehensively consider the dynamic and static state viscoelasticity energy of pitch, without It is the identification for only playing data as Optimality Criteria from single dynamically or statically sticking and carrying out model parameter.
The present invention can comprehensively reflect the viscoelasticity energy of pitch, and characterize and predict comprehensively pitch to glutinous bullet model The design and maintenance of energy and bituminous pavement are of great significance.
Detailed description of the invention
Fig. 1 is dynamic modulus master curve figure of the invention.
Fig. 2 is phase angle main curve of the invention.
Fig. 3 is creep compliance-time plot of the invention.
Fig. 4 is relaxation modulus-time plot of the invention.
Fig. 5 is dynamic modulus master curve identification result figure of the invention.
Fig. 6 is phase angle principal curve identification result figure of the invention.
Fig. 7 is creep compliance of the invention-time graph identification result figure.
Fig. 8 is relaxation modulus of the invention-time graph identification result figure.
Specific embodiment
Below in conjunction with attached drawing, the present invention is described in further detail:The present embodiment is being with technical solution of the present invention Under the premise of implemented, give detailed embodiment, but protection scope of the present invention is not limited to following embodiments.
A kind of pitch based on integrated data Optimality Criteria involved in the present embodiment is glutinous to play model parameter identification method, packet Include following steps:
Step 1: carrying out dynamic frequency scanning test, static creep test and stress to pitch with dynamic shear rheometer Relaxation test, the dynamic modulus during acquisition test | G*|, the dynamic and static number such as phase angle δ, creep compliance J and relaxation modulus G According to;
Step 2: dynamic frequency scanning test data obtained in step 1 is analyzed and processed, according to time-temperature The principle of equal effects establishes viscoelastic function principal curve, draws dynamic modulus master curve and phase angle principal curve;For static creep test With stress relaxation test data, using the time as abscissa, creep compliance be ordinate draw creep compliance-time graph, with when Between be abscissa, relaxation modulus be ordinate draw relaxation modulus-time graph;
Step 3: establishing, pitch is glutinous to play model, derives each glutinous expression formula for playing parameter by model constitutive equation, sticks and play parameter Including dynamic modulus, phase angle, creep compliance and relaxation modulus, and then the basic test data according to obtained in step 1 calculate Each glutinous match value for playing parameter, the glutinous match value for playing parameter indicate with subscript e, and calculates the flat of test value and match value difference Fang He establishes the fitting criterion of integrated data:
Step 4: according to integrated data fitting criterion fminCurve obtained in step 2 is fitted using model, into And model parameter is modified, make fminConstantly reduce, works as fminGinseng of the corresponding group model parameter value as final mask when minimum Numerical value.
Embodiment 1
Step 1: carrying out dynamic frequency scanning test, static creep test and stress to pitch with dynamic shear rheometer Relaxation test, the dynamic modulus during acquisition test | G*|, these bases such as phase angle δ, creep compliance J and relaxation modulus G Dynamic and static data;
Step 2: dynamic frequency scanning test data obtained in step 1 is analyzed and processed, according to time-temperature The principle of equal effects establishes viscoelastic function principal curve, draws dynamic modulus master curve (as shown in Figure 1) and phase angle principal curve (such as Fig. 2 It is shown), it is that ordinate draws creep compliance-using the time as abscissa, creep compliance for static creep and relaxation test data Time graph (as shown in Figure 3) is that ordinate draws relaxation modulus-time graph (as schemed using the time as abscissa, relaxation modulus Shown in 4);
Step 3: establishing, pitch is glutinous to play model, chooses general Maxwell model (n=12), the model is by n Maxwell Element in parallel composition derives each glutinous bullet parameter expression by model constitutive equation, and wherein dynamic modulus is
(wherein ρii/Gi), storage modulu And loss modulusAccording toPhase angle is calculated, according to relaxation modulusAnd the relational expression of relaxation modulus and creep complianceDerive creep compliance, The basic test data according to obtained in step 1 calculate each glutinous match value for playing parameter (with subscript e table on this basis Show), and the quadratic sum of test value Yu match value difference is calculated, establish the fitting criterion of integrated data:
Step 4: according to integrated data fitting criterion fminUsing model to dynamic modulus master curve obtained in step 2, Phase angle principal curve, creep compliance-time graph and relaxation modulus-time graph are fitted, and then modify model parameter, are made fminConstantly reduce, works as fminParameter value of the corresponding group model parameter value as final mask, f when minimumminWhen minimum, obtain To dynamic modulus master curve identification result (as shown in Figure 5), phase angle principal curve identification result (as shown in Figure 6), creep compliance- Time graph identification result (as shown in Figure 7) and relaxation modulus-time graph identification result (as shown in Figure 8).
The foregoing is only a preferred embodiment of the present invention, these specific embodiments are all based on the present invention Different implementations under general idea, and scope of protection of the present invention is not limited thereto, it is any to be familiar with the art Technical staff in the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of, should all cover of the invention Within protection scope.Therefore, the scope of protection of the invention shall be subject to the scope of protection specified in the patent claim.

Claims (1)

1. a kind of pitch based on integrated data Optimality Criteria is glutinous to play model parameter identification method, which is characterized in that including following Step:
Step 1: carrying out dynamic frequency scanning test, static creep test and stress relaxation to pitch with dynamic shear rheometer Test, the dynamic modulus during acquisition test | G*|, the dynamic and static data such as phase angle δ, creep compliance J and relaxation modulus G;
Step 2: dynamic frequency scanning test data obtained in step 1 is analyzed and processed, it is equivalent according to time-temperature Principle establishes viscoelastic function principal curve, draws dynamic modulus master curve and phase angle principal curve;For static creep test and answer Power relaxation test data are that ordinate draws creep compliance-time graph using the time as abscissa, creep compliance, are with the time Abscissa, relaxation modulus are that ordinate draws relaxation modulus-time graph;
Step 3: establishing, pitch is glutinous to play model, derives each glutinous expression formula for playing parameter by model constitutive equation, the glutinous parameter that plays includes Dynamic modulus, phase angle, creep compliance and relaxation modulus, and then the basic test data according to obtained in step 1 calculate each stick The match value of parameter is played, the glutinous match value for playing parameter is indicated with subscript e, and calculates square of test value Yu match value difference With establish the fitting criterion of integrated data:
Step 4: according to integrated data fitting criterion fminCurve obtained in step 2 is fitted using model, Jin Erxiu Change model parameter, makes fminConstantly reduce, works as fminParameter of the corresponding group model parameter value as final mask when minimum Value.
CN201810252815.7A 2018-03-26 2018-03-26 A kind of pitch based on integrated data Optimality Criteria is glutinous to play model parameter identification method Pending CN108846143A (en)

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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109884288A (en) * 2019-02-27 2019-06-14 哈尔滨工业大学 Asphalt Prony series model determination method for parameter based on optimal slack time domain
CN110031611A (en) * 2019-04-19 2019-07-19 哈尔滨工业大学 Fractional order Parameters of Viscoelastic Models based on Multiple-population Genetic Algorithm knows method for distinguishing
CN110186810A (en) * 2019-07-01 2019-08-30 哈尔滨工业大学 The non-linear rheology characteristic test method of pitch of stress substantially oscillatory shear load
CN110427684A (en) * 2019-07-29 2019-11-08 湖南工业大学 A kind of filling research and development method with spiral cover integration apparatus of High-Sr granite
CN111351696A (en) * 2020-03-19 2020-06-30 东南大学 Method for accelerated test of long-term creep performance of asphalt concrete under small strain condition
CN111537550A (en) * 2020-04-27 2020-08-14 哈尔滨工业大学 Design method for cement asphalt composite cementing material ratio
CN112784407A (en) * 2021-01-11 2021-05-11 西南交通大学 Cementing material temperature stress calculation method considering asphalt thermal reversible aging phenomenon
CN112966430A (en) * 2021-01-13 2021-06-15 天津城建大学 Asphalt surface layer accumulated temperature shrinkage stress calculation method considering stress relaxation
CN113128026A (en) * 2021-03-22 2021-07-16 长沙理工大学 High-temperature creep and low-temperature relaxation performance balance design method for recycled asphalt mixture
CN113921091A (en) * 2021-11-25 2022-01-11 西南交通大学 Modified asphalt main curve construction method based on double S-shaped functions
CN114200113A (en) * 2021-11-15 2022-03-18 广东交通职业技术学院 Method for determining rock asphalt mixing proportion
CN114544430A (en) * 2022-02-25 2022-05-27 广州大学 Rheological experiment characterization method for viscoelastic property of polydisperse polyacrylamide aqueous solution

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CN102393338A (en) * 2011-07-26 2012-03-28 哈尔滨工业大学 Method for separating influences of fatigue damage and thixotropic factor on asphalt modulus
CN102628780A (en) * 2012-03-29 2012-08-08 长沙理工大学 Asphalt mixture viscoelasticity performance test method based on wheel load instrument

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Cited By (20)

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Publication number Priority date Publication date Assignee Title
CN109884288B (en) * 2019-02-27 2021-05-07 哈尔滨工业大学 Method for determining Prony series model parameters of asphalt mixture based on optimal relaxation time domain
CN109884288A (en) * 2019-02-27 2019-06-14 哈尔滨工业大学 Asphalt Prony series model determination method for parameter based on optimal slack time domain
CN110031611B (en) * 2019-04-19 2022-02-11 哈尔滨工业大学 Multi-population genetic algorithm-based fractional order viscoelasticity model parameter identification method
CN110031611A (en) * 2019-04-19 2019-07-19 哈尔滨工业大学 Fractional order Parameters of Viscoelastic Models based on Multiple-population Genetic Algorithm knows method for distinguishing
CN110186810A (en) * 2019-07-01 2019-08-30 哈尔滨工业大学 The non-linear rheology characteristic test method of pitch of stress substantially oscillatory shear load
CN110427684A (en) * 2019-07-29 2019-11-08 湖南工业大学 A kind of filling research and development method with spiral cover integration apparatus of High-Sr granite
CN111351696A (en) * 2020-03-19 2020-06-30 东南大学 Method for accelerated test of long-term creep performance of asphalt concrete under small strain condition
CN111351696B (en) * 2020-03-19 2022-03-04 东南大学 Method for accelerated test of long-term creep performance of asphalt concrete under small strain condition
CN111537550A (en) * 2020-04-27 2020-08-14 哈尔滨工业大学 Design method for cement asphalt composite cementing material ratio
CN111537550B (en) * 2020-04-27 2022-09-16 哈尔滨工业大学 Design method for cement asphalt composite cementing material ratio
CN112784407B (en) * 2021-01-11 2022-05-17 西南交通大学 Cementing material temperature stress calculation method considering asphalt thermal reversible aging phenomenon
CN112784407A (en) * 2021-01-11 2021-05-11 西南交通大学 Cementing material temperature stress calculation method considering asphalt thermal reversible aging phenomenon
CN112966430B (en) * 2021-01-13 2022-04-22 天津城建大学 Asphalt surface layer accumulated temperature shrinkage stress calculation method considering stress relaxation
CN112966430A (en) * 2021-01-13 2021-06-15 天津城建大学 Asphalt surface layer accumulated temperature shrinkage stress calculation method considering stress relaxation
CN113128026A (en) * 2021-03-22 2021-07-16 长沙理工大学 High-temperature creep and low-temperature relaxation performance balance design method for recycled asphalt mixture
CN113128026B (en) * 2021-03-22 2022-06-24 长沙理工大学 High-temperature creep and low-temperature relaxation performance balance design method for recycled asphalt mixture
CN114200113A (en) * 2021-11-15 2022-03-18 广东交通职业技术学院 Method for determining rock asphalt mixing proportion
CN114200113B (en) * 2021-11-15 2024-02-09 广东交通职业技术学院 Method for determining rock asphalt blending proportion
CN113921091A (en) * 2021-11-25 2022-01-11 西南交通大学 Modified asphalt main curve construction method based on double S-shaped functions
CN114544430A (en) * 2022-02-25 2022-05-27 广州大学 Rheological experiment characterization method for viscoelastic property of polydisperse polyacrylamide aqueous solution

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Application publication date: 20181120