CN106198942A - A kind of asphalt virtual performance based on meso-level simulation test predictor method - Google Patents

A kind of asphalt virtual performance based on meso-level simulation test predictor method Download PDF

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CN106198942A
CN106198942A CN201610476196.0A CN201610476196A CN106198942A CN 106198942 A CN106198942 A CN 106198942A CN 201610476196 A CN201610476196 A CN 201610476196A CN 106198942 A CN106198942 A CN 106198942A
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asphalt
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mortar
aggregate
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CN106198942B (en
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马涛
张垚
黄晓明
丁珣昊
赵永利
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Southeast University
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Abstract

The invention discloses a kind of asphalt virtual performance based on meso-level simulation test predictor method, step is: asphalt initial engagement is than design;Material basic parameter obtains;Asphalt mastic DSR tests;The virtual creep test of asphalt mortar, bituminous mortar;Virtual system intrinsic parameter is changed;Select the multinomial laboratory test needing to estimate;Build multiple three-dimensional test specimen;Select the mechanic constitutive model of material;Select virtual test loading environment;Build result of the test real-time monitoring system;Every test final result discreet value exports;Indices and specifications comparison judge whether to meet requirement;If being unsatisfactory for requiring, export suggestion gravity treatment match ratio;If meeting requirement, export more excellent match ratio.Present invention achieves the real-time monitoring of result of the test additive curve, the output result obtained, contrast estimates whether the multinomial performance index of compound meets code requirement, reduces unnecessary comparative laboratory test, provides experimental basis for realizing automatic Asphalt Aggregate Mix Design.

Description

A kind of asphalt virtual performance based on meso-level simulation test predictor method
Technical field
The present invention relates to asphalt discrete element emulation technology, particularly relate to asphalt based on meso-level simulation empty Intend performance test predictor method, belong to road engineering technical field.
Background technology
Traditional performance of asphalt mixture is estimated to be needed to carry out multinomial laboratory test, including: bend test, diametral compression test, Fatigue test, wheel tracking test etc., these laboratory tests are not only time-consuming but also objective due to test molding, cutting, mode of transport etc. Condition affects, and result of the test is unsatisfactory, particularly in confirmatory inspection Bitumen Mix Design whether compliant During requirement, if being unsatisfactory for requiring, needing to redesign and again repeating above-mentioned laboratory test.Therefore, it is necessary to take measures to drip The loaded down with trivial details repetitive operation of blue or green compound comparative performance verification test simplifies.
Summary of the invention
It is an object of the invention to provide one under the stock Parameter Conditions such as known grating, bitumen aggregate ratio and voidage Asphalt virtual performance test predictor method, it is possible to realize all kinds of macroscopic view laboratory test equivalent virtual performance test, Obtaining various performance test results discreet value, contrast estimates whether the multinomial performance index of compound meets code requirement, reduces Unnecessary comparative laboratory test, provides experimental basis for realizing automatic Asphalt Aggregate Mix Design.
For achieving the above object, the technical solution used in the present invention is: asphalt based on meso-level simulation is virtual Predictor method can be tested, comprise the steps:
(1) asphalt initial engagement is than design: according to asphalt Marshall mixing proportion design method, Bei Lei Method, main aggregate gap filling method, multistage four kinds of methods of grating embedded squeezing method combine, and carry out aggregate grading Curve Design, optimal Bitumen aggregate ratio, voidage select, and complete the asphalt initial engagement of at least two schemes than design;
(2) material basic parameter obtains: determine the stock parameter of asphalt according to selected initial engagement ratio, Including: every grade gather materials by percentage rate, bitumen aggregate ratio, voidage, breeze content, density of gathering materials, asphalt density, asphalt mastic glue Elastic parameter, the elastic modelling quantity of coarse aggregate, the elastic modelling quantity of fine aggregate, the form parameter gathered materials, the sample of each performance test Size and test temperature;
(3) asphalt mastic DSR test: by asphalt mastic DSR test, analyzes in not equality of temperature The high teperature rheology property Changing Pattern of rubber cement under the conditions of degree and Ratio of filler bitumen, mainly includes the virtual creep test of asphalt mortar, bituminous mortar and virtual System intrinsic parameter changes two parts;Result, the matching principal curve of different Ratio of filler bitumen asphalt mastics is frequency scanned according to DSR;Logical Cross object function optimization method matching and obtain Burgers model four parameter;
The virtual creep test of described asphalt mortar, bituminous mortar is as smallest discrete unit using asphalt mastic, sets up asphalt mortar, bituminous mortar empty Intend creep test, obtain the curve of asphalt mortar, bituminous mortar creep and time, matching obtain asphalt mortar, bituminous mortar Burgers model four parameter and Adhesion strength;
Described virtual system intrinsic parameter conversion is that material basic parameter laboratory test obtained is as virtual estimating The initial input parameter of system, carries out input parameter twice conversion and is scaled virtual system and can recognize that parameter;
(4) the multinomial laboratory test needing to estimate is selected: select the test of multinomial indoor performance to estimate to characterize as required System performance indications from low temperature to high temperature, record sample size and analyze intrinsic device control work in process of the test With, described performance indications at least include: asphalt girder bend fracture test, diametral compression test, the examination of four-point bending fatigue Test, uniaxial static creep test, three axis creep test, axle test;
(5) multiple three-dimensional test specimen is built: build multiple virtual test specimen space, root according to different laboratory test sizes The irregular coarse aggregate of virtual three-dimensional is thrown according to coarse aggregate grating, the asphalt mortar, bituminous mortar test specimen of fill rule arrangement between coarse aggregate clearance, Delete a number of mortar structure voidage and i.e. can build asphalt void three-dimensional test specimen;
(6) mechanic constitutive model of material is selected: select the power of carefully seeing of granular materials in virtual system according to test temperature Learn constitutive model, including: contact stiffness model, contact adhesive model, paralleling binding model, sliding model, Burgers viscoelasticity Model;
(7) virtual test loading environment is selected: according to highway engineering Colophonium and Asphalt Mixture Experiment code, select every The Loading Control pattern of virtual test and the equivalence of laboratory testing rig arrange condition, including size, the position of pressure head, test Loading mode, the objective control condition of test equivalent conversion in virtual test;
(8) build result of the test real-time monitoring system: during virtual load, ordered by " HISTORY " in program Order record also monitors the curvilinear motion with load time correlated variables, including: bend fracture finder charge and sag curve, splitting Finder charge and deformation curve permanent deformation curve, bending-type panel and CYCLIC LOADING frequency curve, permanent deformation curve, car Rut depth curve, thus reach the purpose of the reliability in time of monitoring test result;
(9) every test final result discreet value output: output test result discreet value after virtual load stopping, including: Bending tensile strength when test specimen destroys, maximum flexural-tensile strain, bending-type panel, cleavage strength, fatigue life, creep forever becomes Shape, the modulus of resilience, rutting depth;
(10) judging whether indices meets code requirement: if being unsatisfactory for requiring, exporting suggestion gravity treatment match ratio;If Satisfied requirement then exports more excellent match ratio.
In described step (2), density of gathering materials uses effective density pe, the actual body gathering materials in asphalt can be reflected Long-pending characteristic, uses formula (1) to calculate, wherein vsFor the solid volume that gathers materials, vnGather materials pore volume of remaining silent in entity, viFor mineral aggregate table The volume can not filled by Colophonium in the open pores of face, msFor the aggregate quality dried;
p e = m s v s + v n + v i - - - ( 1 ) .
In described step (3), under low temperature, asphalt mastic is elastomeric material, the shear stress of shear stress and instantaneous applying mutually one Causing, both lag time is 0, and under higher temperature, the lag time between shear stress and shearing strain is longer, uses complex shear Modulus G*Asphalt mastic viscoelastic property is represented with deformation quantity relative indicatrix δ.
In described step (3), using asphalt mastic as smallest discrete unit, it is desirable to asphalt mastic unit particle diameter≤ 0.075mm, fine aggregate grating and oil-sand determine than by specific surface area method, the diameter of test specimen and height all >=fine aggregate maximum grain 10 times of footpath, asphalt mortar, bituminous mortar test specimen is assumed to tight test specimen, then by the virtual creep test of the asphalt mortar, bituminous mortar under low stress level Curve matching obtains the viscoelastic parameters of asphalt mortar, bituminous mortar, by the virtual creep test self adaptation of the asphalt mortar, bituminous mortar under high stress level repeatedly In generation, obtains the adhesion strength parameter of asphalt mortar, bituminous mortar.
In described step (3), material basic parameter include gathering materials by percentage rate, bitumen aggregate ratio, breeze content, fine aggregate Elastic modelling quantity, fine aggregate shape, material basic parameter is converted into the volume fraction of fine aggregate, asphalt adhesive in micro-disperse system for the first time Volume of slurry mark, asphalt mastic density, the complex shear modulus G of asphalt mastic*With deformation quantity relative indicatrix δ, asphalt mastic Viscoelastic parameters temperature inversion coefficient, fine aggregate contact stiffness, fine aggregate carefully see irregularly shaped coefficient;Material basic parameter By second time convert obtain the volume fraction of coarse aggregate in finely divided system, the volume fraction of asphalt mortar, bituminous mortar, asphalt mortar, bituminous mortar close Degree, the viscoelastic parameters temperature inversion coefficient of the irregularly shaped coefficient of the contact stiffness of coarse aggregate, coarse aggregate, asphalt mortar, bituminous mortar.
In described step (5), virtual test specimen space is fully equivalent in sample size, and coarse aggregate is with close to true form Irregular polyhedrons is thrown in, and checks whether the virtual grating gathered materials matches with actual after input, and virtual Prediction System is with Colophonium Mortar is as smallest discrete unit, and particle diameter answers≤2mm, and every kind of virtual sample granule number is less than 100,000.
In described step (6), contact between aggregate particle selects contact stiffness model and sliding model, asphalt mortar, bituminous mortar with Contact between gathering materials selects contact bonding or Burgers viscoelastic contact model, connecing between asphalt mortar, bituminous mortar according to temperature Touch and select contact bonding, paralleling binding or Burgers viscoelastic contact model.
In described step (7), speed loading is directly applied to load wall speed and loads, and power loads passes through SERVO CONTROL Program controls the speed of body of wall thus reaches to control body of wall loading force, adjusts the speed reduction monitor stress loading wall in real time σmeasuredTarget stress σ with required applyingrequiredDifference Δ σ realize that loading force is constant or curvilinear motion, G is that speed is adjusted The maximum gain parameter of joint, the rate equation of body of wallCalculate such as (2):
u · ( w ) = G ( σ m e a s u r e d - σ r e q u i r e d ) = G Δ σ - - - ( 2 ) .
In described step (8), the curvilinear motion of the outcome variable of real-time monitoring and time correlation in program loading procedure Ensure the effectiveness of virtual test, including: bend fracture finder charge and sag curve, diametral compression test load and deformation curve Permanent deformation curve, bending-type panel and CYCLIC LOADING frequency curve, permanent deformation curve, rutting depth curve etc..
In described step (9), it is that virtual test loads stop condition, bag that laboratory test loads end condition equivalency transform Include Virtual Fatigue Test using thin see bond damage quantity reach test specimen midpoint section always bond quantity 50% as test termination Condition, virtual destructive test with test specimen reach amount of deflection after failing load again increase 1mm for test end condition, virtual creep try Test using the vertical strain of test specimen reach 0.2 time as test end condition.
Beneficial effect:
The present invention passes through the virtual creep test of asphalt mortar, bituminous mortar, it is achieved that turning of micro-disperse system medium pitch rubber cement viscoelastic parameters Change, obtained the viscoelastic parameters of asphalt mortar, bituminous mortar, preferably solve asphalt mortar, bituminous mortar indoor creep test specimen difficulty molding, parameter acquiring The problem that effect is undesirable, expands the suitability of parameter, and simplifies room parameter acquisition test;And achieve multiple The three-dimensional configuration reconstruct of bitumen mixture specimen, the method can realize the asphalt three-dimensional of multiple match ratio, test specimen form Reconstruct, provides model basis for multiple virtual test Performance Prediction;By virtual test predictor method, it is possible to achieve all kinds of macroscopic views Laboratory test Loading Control pattern and objective test conditioning device are arranged, and realize the real-time prison of result of the test additive curve Surveying, finally give service test model output result, contrast estimates whether the multinomial performance index of compound meets code requirement, Reduce unnecessary comparative laboratory test, provide experimental basis for realizing automatic Asphalt Aggregate Mix Design.
Accompanying drawing explanation
Fig. 1 is the flow chart of the inventive method.
Detailed description of the invention
Below in conjunction with the accompanying drawings the present invention is further described.
Asphalt virtual performance based on meso-level simulation test predictor method, comprises the steps:
(1) asphalt initial engagement is than design: according to asphalt Marshall mixing proportion design method, Bei Lei Method, main aggregate gap filling method, multistage grating embedded squeezing method select to gather materials grading curve, bitumen aggregate ratio, voidage, complete at least two The asphalt initial engagement of the scheme of kind is than design;
(2) material basic parameter obtains: determine the stock parameter of asphalt according to selected initial engagement ratio, Including: every grade gather materials by percentage rate, bitumen aggregate ratio, voidage, breeze content, density of gathering materials, asphalt density, asphalt mastic glue Elastic parameter, the elastic modelling quantity of coarse aggregate, the elastic modelling quantity of fine aggregate, the form parameter (corner angle, slenderness ratio) gathered materials, each individual character The sample size that can test and test temperature;
(3) asphalt mastic DSR test: by asphalt mastic DSR test, analyzes in not equality of temperature The high teperature rheology property Changing Pattern of rubber cement under the conditions of degree and Ratio of filler bitumen;Result, the different arogels of matching are frequency scanned according to DSR Principal curve than asphalt mastic;Burgers model four parameter is obtained by objective function optimization method matching.
(4) the virtual creep test of asphalt mortar, bituminous mortar: using asphalt mastic as smallest discrete unit, sets up asphalt mortar, bituminous mortar virtual compacted Becoming test, obtain the curve of asphalt mortar, bituminous mortar creep and time, matching obtains Burgers model four parameter and the bonding of asphalt mortar, bituminous mortar Intensity;
(5) virtual system intrinsic parameter conversion: material basic parameter laboratory test obtained is as virtual Prediction System Initial input parameter, carries out input parameter twice conversion and is scaled virtual system and can recognize that parameter;
(6) the multinomial laboratory test needing to estimate is selected: select the multinomial performance test needing to estimate as required, from low Temperature includes to high temperature: asphalt girder bend fracture test, diametral compression test, four-point bending fatigue test, single shaft creep examination Test, three axis creep test, axle test etc.;
(7) multiple three-dimensional test specimen is built: build multiple test specimen space according to different laboratory test sizes, according to slightly Aggregate grading throws in the irregular coarse aggregate of virtual three-dimensional, and between coarse aggregate clearance, the asphalt mortar, bituminous mortar test specimen of fill rule arrangement, deletes A number of mortar builds voidage can build asphalt void three-dimensional test specimen;
(8) mechanic constitutive model of material is selected: select the power of carefully seeing of granular materials in virtual system according to test temperature Learning constitutive model, alternative model includes: contact stiffness model, contact adhesive model, paralleling binding model, sliding mould Type, Burgers viscoelastic model.
(9) virtual test loading environment is selected: according to highway engineering Colophonium and Asphalt Mixture Experiment code, select every The Loading Control pattern of virtual test and the equivalence of laboratory testing rig arrange condition, including size, the position of pressure head, test Loading mode, the objective control condition of test equivalent conversion etc. in virtual test.
(10) build result of the test real-time monitoring system: during virtual load, ordered by " HISTORY " in program Order record also monitors the change with load time correlated variables, and variable includes: on the stress of loading, strain, test specimen assigned direction Displacement, the thin of test specimen is seen bond damage etc., thus is reached the purpose of the reliability in time of monitoring test result;
(11) every test final result discreet value output: output test result discreet value after virtual load stopping, including: Test specimen destroys the bending tensile strength being, maximum flexural-tensile strain, bending-type panel, and cleavage strength, fatigue life, creep forever becomes Shape, the modulus of resilience, the index such as rutting depth;
(12) judging whether indices meets code requirement: if being unsatisfactory for requiring, exporting suggestion gravity treatment match ratio;If Satisfied requirement then exports more excellent match ratio.
In described step (1), Bitumen Mix Design can use Marshall mixing proportion design method, Bailey's method, Main aggregate gap filling method, multistage four kinds of methods of grating embedded squeezing method combine, and carry out aggregate grading Curve Design, optimal oilstone Select than with voidage, it is desirable at least complete the asphalt initial engagement of two schemes than design.
In described step (2), the density gathered materials uses effective density, can reflect the actual body gathering materials in asphalt Long-pending characteristic, uses formula (1) to calculate, wherein vsFor the solid volume that gathers materials, vnGather materials pore volume of remaining silent in entity, viFor mineral aggregate table The volume can not filled by Colophonium in the open pores of face, msFor the aggregate quality dried.
p e = m s v s + v n + v i - - - ( 1 )
In described step (3), under low temperature, asphalt mastic is elastomeric material, the shear stress of shear stress and instantaneous applying mutually one Causing, both lag time is 0, and under higher temperature, the lag time between shear stress and shearing strain is longer, uses complex shear Modulus G*Asphalt mastic viscoelastic property is represented with deformation quantity relative indicatrix δ.
In described step (4), using asphalt mastic as smallest discrete unit, it is desirable to asphalt mastic unit particle diameter is less than 0.075mm, fine aggregate grating and oil-sand determine than by specific surface area method, and the diameter of test specimen and height all can not be less than fine aggregate 10 times of maximum particle diameter, asphalt mortar, bituminous mortar test specimen is assumed to tight test specimen, by the virtual creep of the asphalt mortar, bituminous mortar under low stress level Trial curve matching obtains the viscoelastic parameters of asphalt mortar, bituminous mortar, adaptive by the virtual creep test of the asphalt mortar, bituminous mortar under high stress level Iteration is answered to obtain the adhesion strength parameter of asphalt mortar, bituminous mortar.
In described step (5), material basic parameter is carried out twice conversion and is scaled virtual system and can recognize that parameter;Material Parameter include gathering materials by percentage rate, bitumen aggregate ratio, breeze content, fine aggregate elastic modelling quantity, fine aggregate form parameter for the first time It is converted into the volume fraction of fine aggregate in micro-disperse system, asphalt mastic volume fraction, asphalt mastic density, the plural number of asphalt mastic Shear modulus G*Contact just with deformation quantity relative indicatrix δ, the viscoelastic parameters temperature inversion coefficient of asphalt mastic, fine aggregate Irregularly shaped coefficient carefully seen by degree, fine aggregate;Material parameter is converted by second time and obtains the volume of coarse aggregate in finely divided system Mark, the volume fraction of asphalt mortar, bituminous mortar, the density of asphalt mortar, bituminous mortar, the contact stiffness of coarse aggregate, the irregularly shaped system of coarse aggregate Number, the viscoelastic parameters temperature inversion coefficient of asphalt mortar, bituminous mortar.
In described step (6), select the test of multinomial indoor performance to characterize Prediction System from low temperature to high temperature as required Performance indications, record sample size and analyze intrinsic device control action in process of the test.
In described step (7), virtual test specimen space should be fully equivalent in sample size, and coarse aggregate is with close to true form Irregular polyhedrons throw in, should check after input whether the virtual grating gathered materials matches with actual, virtual Prediction System with Asphalt mortar, bituminous mortar is as smallest discrete unit, and particle diameter should be less than 2mm, every kind of virtual sample granule number should be less than 100,000 and can make be Unite stable operation.
In described step (8), contact between aggregate particle selects contact stiffness model and sliding model, asphalt mortar, bituminous mortar with Contact between gathering materials selects contact bonding or Burgers viscoelastic contact model, connecing between asphalt mortar, bituminous mortar according to temperature Touch and select contact bonding, paralleling binding or Burgers viscoelastic contact model.
In described step (9), Loading Control pattern and intrinsic device according to every laboratory test are in process of the test Control action, arrange virtual equivalence load and control condition, including pressure head and intrinsic device equivalence size, position, loading Pattern.Speed loading is directly applied to load wall speed and loads, and power loads and controls body of wall by SERVO CONTROL program Speed thus reach to control body of wall loading force, adjust in real time and load the speed of wall and reduce monitor stress σmeasuredWith required applying Target stress σrequiredDifference Δ σ realize that loading force is constant or curvilinear motion, G is the maximum gain parameter of speed regulation, wall The rate equation of bodyCalculate such as formula (2).
u · ( w ) = G ( σ m e a s u r e d - σ r e q u i r e d ) = G Δ σ - - - ( 2 )
In described step (10), need to monitor some outcome variables with time correlation in real time in program loading procedure Curvilinear motion ensures the effectiveness of virtual test, including bend fracture finder charge and sag curve, diametral compression test load with Deformation curve permanent deformation curve, bending-type panel and CYCLIC LOADING frequency curve, permanent deformation curve, rutting depth curve Deng.
In described step (11), it is that virtual test loads stop condition that laboratory test loads end condition equivalency transform, Including Virtual Fatigue Test using thin see bond damage quantity reach test specimen midpoint section always bond quantity 50% as test end Only condition, virtual destructive test reaches amount of deflection after failing load with test specimen increases 1mm again for test end condition, virtual creep Test using the vertical strain of test specimen reach 0.2 time as test end condition.
Embodiment 1
As it is shown in figure 1, asphalt virtual performance based on meso-level simulation test predictor method, comprise the steps:
(1) asphalt initial engagement is than design: select aggregate grading according to asphalt mixture mixing proportion design method Curve, bitumen aggregate ratio, voidage, the asphalt initial engagement completing at least two schemes coordinates than design, asphalt Marshall mixing proportion design method, Bailey's method, main aggregate gap filling method, multistage grating embedded squeezing method four kinds can be used than design Method combines.
(2) material basic parameter obtains: determine the stock parameter of asphalt according to selected initial engagement ratio, Including: every grade gather materials by percentage rate, bitumen aggregate ratio, voidage, breeze content, density of gathering materials, asphalt density, asphalt mastic glue Elastic parameter, the elastic modelling quantity of coarse aggregate, the elastic modelling quantity of fine aggregate, the form parameter (corner angle, slenderness ratio) gathered materials, each individual character The sample size that can test and test temperature, the density gathered materials uses effective density pe, can reflect and gather materials in asphalt Actual volume characteristic, use formula (1) calculate, wherein vsFor the solid volume that gathers materials, vnGather materials pore volume of remaining silent in entity, vi For the volume can not filled by Colophonium in mineral aggregate surface opening hole.M in formula 1sRepresent the aggregate quality dried.
p e = m s v s + v n + v i - - - ( 1 )
(3) asphalt mastic dynamic shear rheological (DSR) test: by asphalt mastic DSR test, analyzes The high teperature rheology property Changing Pattern of rubber cement under the conditions of different temperatures and Ratio of filler bitumen, mainly includes the virtual creep test of asphalt mortar, bituminous mortar Two parts are changed with virtual system intrinsic parameter;Result, the matching main song of different Ratio of filler bitumen asphalt mastics is frequency scanned according to DSR Line;Burgers model four parameter is obtained by objective function optimization method matching;Under low temperature, asphalt mastic is elastomeric material, cuts Stress is consistent with the shear stress of instantaneous applying, and both lag time is 0, under higher temperature between shear stress and shearing strain Lag time is longer, uses complex shear modulus G*Asphalt mastic viscoelastic property is represented with deformation quantity relative indicatrix δ.
The virtual creep test of described asphalt mortar, bituminous mortar is as smallest discrete unit using asphalt mastic, it is desirable to asphalt mastic list Unit's particle diameter determines than by specific surface area method less than 0.075mm, fine aggregate grating and oil-sand, the diameter of mortar specimen and height All can not be less than 10 times of fine aggregate maximum particle diameter, asphalt mortar, bituminous mortar test specimen is assumed to tight test specimen, sets up asphalt mortar, bituminous mortar virtual Creep test, is obtained the viscoelasticity ginseng of asphalt mortar, bituminous mortar by the virtual creep test curve matching of the asphalt mortar, bituminous mortar under low stress level Number, is obtained the adhesion strength parameter of asphalt mortar, bituminous mortar by the virtual creep test adaptive iteration of the asphalt mortar, bituminous mortar under high stress level.
Described virtual system intrinsic parameter conversion is that material basic parameter laboratory test obtained is as virtual estimating The initial input parameter of system, carries out input parameter twice conversion and is scaled virtual system and can recognize that parameter;Material basic parameter Converted for the first time by percentage rate, bitumen aggregate ratio, breeze content, fine aggregate elastic modelling quantity, fine aggregate form parameter including gather materials For the volume fraction of fine aggregate, asphalt mastic volume fraction, asphalt mastic density, the complex shear of asphalt mastic in micro-disperse system Modulus G*With deformation quantity relative indicatrix δ, the viscoelastic parameters temperature inversion coefficient of asphalt mastic, fine aggregate contact stiffness, thin Gather materials the irregularly shaped coefficient of thin sight;Material basic parameter is converted by second time and obtains the volume integral of coarse aggregate in finely divided system Number, the irregularly shaped coefficient of the volume fraction of asphalt mortar, bituminous mortar, the density of asphalt mortar, bituminous mortar, the contact stiffness of coarse aggregate, coarse aggregate, The viscoelastic parameters temperature inversion coefficient of asphalt mortar, bituminous mortar.
(4) the multinomial laboratory test needing to estimate is selected: select the test of multinomial indoor performance to estimate to characterize as required System performance indications from low temperature to high temperature, including: asphalt girder bend fracture test, diametral compression test, four-point bending Fatigue test, uniaxial static creep test, three axis creep test, axle test etc., record sample size and analyze intrinsic device and exist Control action in process of the test.
(5) multiple three-dimensional test specimen is built: build multiple test specimen space, virtual examination according to different laboratory test sizes Part space should be fully equivalent in sample size, and coarse aggregate is thrown in the irregular polyhedrons close to true form, should after input Checking whether the virtual grating gathered materials matches with actual, between coarse aggregate clearance, the asphalt mortar, bituminous mortar of fill rule arrangement, virtual pre- Estimate system and should be less than 2mm using asphalt mortar, bituminous mortar as smallest discrete unit, particle diameter, delete a number of mortar and build voidage Can build asphalt void three-dimensional test specimen, every kind of virtual sample granule number should be less than 100,000 can make system stability Run.
(6) mechanic constitutive model of material is selected: select the power of carefully seeing of granular materials in virtual system according to test temperature Learning constitutive model, alternative model includes: contact stiffness model, contact adhesive model, paralleling binding model, sliding mould Type, Burgers viscoelastic model;Contact between aggregate particle selects contact stiffness model and sliding model, asphalt mortar, bituminous mortar with Contact between gathering materials selects contact bonding or Burgers viscoelastic contact model, connecing between asphalt mortar, bituminous mortar according to temperature Touch and select contact bonding, paralleling binding or Burgers viscoelastic contact model.
(9) virtual test loading environment is selected: Loading Control pattern and intrinsic device according to every laboratory test exist Control action in process of the test, arrange virtual equivalence load and control condition, including pressure head and intrinsic device equivalence size, Position, loading mode.Speed loading is directly applied to load wall speed and loads, and power is loaded and controlled by SERVO CONTROL program The speed of body of wall processed thus reach to control body of wall loading force, adjust in real time and load the speed of wall and reduce monitor stress σmeasuredAnd institute The target stress σ that need to applyrequiredDifference Δ σ realize that loading force is constant or curvilinear motion, G is the maximum gain of speed regulation Parameter, the rate equation of body of wallCalculate such as (2).
u · ( w ) = G ( σ m e a s u r e d - σ r e q u i r e d ) = G Δ σ - - - ( 2 )
(8) build result of the test real-time monitoring system: during virtual load, ordered by " HISTORY " in program Order record is also monitored and load time correlated variables and the change of variable curve, and variable includes: the stress of loading, strain, test specimen Displacement on assigned direction, the thin of test specimen sees bond damage etc.;Variable curve includes: bend fracture finder charge is bent with amount of deflection Line, diametral compression test load and deformation curve permanent deformation curve, bending-type panel and CYCLIC LOADING frequency curve, permanent deformation Curve, rutting depth curve etc., thus reach the purpose of the reliability in time of monitoring test result.
(9) every test final result discreet value output: it is virtual examination that laboratory test loads end condition equivalency transform Test loading stop condition, reach test specimen midpoint section including Virtual Fatigue Test always bond quantity with thin bond damage quantity of seeing 50% as test end condition, and virtual destructive test reaches amount of deflection after failing load with test specimen increases 1mm for test eventually again Only condition, virtual creep test using the vertical strain of test specimen reach 0.2 time as test end condition;Virtual load is defeated after stopping Go out result of the test discreet value, including: bending tensile strength when test specimen destroys, maximum flexural-tensile strain, bending-type panel, splitting is strong Degree, fatigue life, creep permanent deformation, the modulus of resilience, the index such as rutting depth.
(10) judging whether indices meets code requirement: if being unsatisfactory for requiring, exporting suggestion gravity treatment match ratio;If Satisfied requirement then exports more excellent match ratio.
The above is only the preferred embodiment of the present invention, it should be pointed out that: for the ordinary skill people of the art For Yuan, under the premise without departing from the principles of the invention, it is also possible to make some improvements and modifications, these improvements and modifications also should It is considered as protection scope of the present invention.

Claims (10)

1. asphalt virtual performance based on meso-level simulation test predictor method, it is characterised in that: comprise the steps:
(1) asphalt initial engagement is than design: according to asphalt Marshall mixing proportion design method, Bailey's method, master Aggregate gap filling method, multistage four kinds of methods of grating embedded squeezing method combine, and carry out aggregate grading Curve Design, optimal oilstone Ratio, voidage select, and complete the asphalt initial engagement of at least two schemes than design;
(2) material basic parameter obtains: determine the stock parameter of asphalt, bag according to selected initial engagement ratio Include: every grade gather materials by percentage rate, bitumen aggregate ratio, voidage, breeze content, density of gathering materials, asphalt density, asphalt mastic viscoelastic Property parameter, the elastic modelling quantity of coarse aggregate, the elastic modelling quantity of fine aggregate, the form parameter gathered materials, each performance test sample big Little and test temperature;
(3) asphalt mastic DSR test: by asphalt mastic DSR test, analyze in different temperatures and The high teperature rheology property Changing Pattern of rubber cement under the conditions of Ratio of filler bitumen, mainly includes the virtual creep test of asphalt mortar, bituminous mortar and virtual system Intrinsic parameter changes two parts;Result, the matching principal curve of different Ratio of filler bitumen asphalt mastics is frequency scanned according to DSR;Pass through mesh Scalar functions optimization method matching obtains Burgers model four parameter;
The virtual creep test of described asphalt mortar, bituminous mortar is as smallest discrete unit using asphalt mastic, sets up asphalt mortar, bituminous mortar virtual compacted Becoming test, obtain the curve of asphalt mortar, bituminous mortar creep and time, matching obtains Burgers model four parameter and the bonding of asphalt mortar, bituminous mortar Intensity;
Described virtual system intrinsic parameter conversion is that material basic parameter laboratory test obtained is as virtual Prediction System Initial input parameter, carries out input parameter twice conversion and is scaled virtual system and can recognize that parameter;
(4) the multinomial laboratory test needing to estimate is selected: select multinomial indoor performance to test to characterize Prediction System as required Performance indications from low temperature to high temperature, record sample size and analyze intrinsic device control action in process of the test, institute The performance indications stated at least include: asphalt girder bend fracture test, diametral compression test, four-point bending fatigue test, list Axle creep test, three axis creep test, axle test;
(5) multiple three-dimensional test specimen is built: build multiple virtual test specimen space according to different laboratory test sizes, according to slightly Aggregate grading throws in the irregular coarse aggregate of virtual three-dimensional, and between coarse aggregate clearance, the asphalt mortar, bituminous mortar test specimen of fill rule arrangement, deletes A number of mortar builds voidage i.e. can build asphalt void three-dimensional test specimen;
(6) mechanic constitutive model of material is selected: according to the mesomechanics of granular materials in test temperature selection virtual system originally Structure model, including: contact stiffness model, contact adhesive model, paralleling binding model, sliding model, Burgers viscoelasticity mould Type;
(7) virtual test loading environment is selected: according to highway engineering Colophonium and Asphalt Mixture Experiment code, select every virtual The Loading Control pattern of test and the equivalence of laboratory testing rig arrange condition, including size, the position of pressure head, the loading of test Pattern, the objective control condition of test equivalent conversion in virtual test;
(8) build result of the test real-time monitoring system: during virtual load, order note by " HISTORY " in program Record and monitor the curvilinear motion with load time correlated variables, including: bend fracture finder charge and sag curve, diametral compression test Load and deformation curve permanent deformation curve, bending-type panel and CYCLIC LOADING frequency curve, permanent deformation curve, rut is deep Write music line, thus reach the purpose of the reliability in time of monitoring test result;
(9) every test final result discreet value output: output test result discreet value after virtual load stopping, including: test specimen Bending tensile strength during destruction, maximum flexural-tensile strain, bending-type panel, cleavage strength, fatigue life, creep permanent deformation, The modulus of resilience, rutting depth;
(10) judging whether indices meets code requirement: if being unsatisfactory for requiring, exporting suggestion gravity treatment match ratio;If meeting Require then to export more excellent match ratio.
Asphalt virtual performance based on meso-level simulation the most according to claim 1 test predictor method, its feature Being: in described step (2), density of gathering materials uses effective density pe, the actual volume gathering materials in asphalt can be reflected Characteristic, uses formula (1) to calculate, wherein vsFor the solid volume that gathers materials, vnGather materials pore volume of remaining silent in entity, viFor mineral aggregate surface The volume can not filled by Colophonium in open pores, msFor the aggregate quality dried;
p e = m s v s + v n + v i - - - ( 1 ) .
Asphalt virtual performance based on meso-level simulation the most according to claim 1 test predictor method, its feature Being: in described step (3), under low temperature, asphalt mastic is elastomeric material, and shear stress is consistent with the shear stress of instantaneous applying, two The lag time of person is 0, and under higher temperature, the lag time between shear stress and shearing strain is longer, uses complex shear modulus G* Asphalt mastic viscoelastic property is represented with deformation quantity relative indicatrix δ.
Asphalt virtual performance based on meso-level simulation the most according to claim 1 test predictor method, its feature It is: in described step (3), using asphalt mastic as smallest discrete unit, it is desirable to asphalt mastic unit particle diameter≤0.075mm, Fine aggregate grating and oil-sand determine than by specific surface area method, the diameter of test specimen and height all >=fine aggregate maximum particle diameter 10 Times, asphalt mortar, bituminous mortar test specimen is assumed to tight test specimen, then intended by the virtual creep test curve of the asphalt mortar, bituminous mortar under low stress level Close the viscoelastic parameters obtaining asphalt mortar, bituminous mortar, the virtual creep test adaptive iteration of the asphalt mortar, bituminous mortar under high stress level obtain The adhesion strength parameter of asphalt mortar, bituminous mortar.
Asphalt virtual performance based on meso-level simulation the most according to claim 1 test predictor method, its feature Be: in described step (3), material basic parameter include gathering materials by percentage rate, bitumen aggregate ratio, breeze content, fine aggregate bullet Property modulus, fine aggregate shape, material basic parameter is for the first time converted into the volume fraction of fine aggregate, asphalt mastic in micro-disperse system Volume fraction, asphalt mastic density, the complex shear modulus G of asphalt mastic*With deformation quantity relative indicatrix δ, asphalt mastic Irregularly shaped coefficient carefully seen by viscoelastic parameters temperature inversion coefficient, fine aggregate contact stiffness, fine aggregate;Material basic parameter leads to Cross second time convert obtain the volume fraction of coarse aggregate in finely divided system, the volume fraction of asphalt mortar, bituminous mortar, the density of asphalt mortar, bituminous mortar, The contact stiffness of coarse aggregate, the irregularly shaped coefficient of coarse aggregate, the viscoelastic parameters temperature inversion coefficient of asphalt mortar, bituminous mortar.
Asphalt virtual performance based on meso-level simulation the most according to claim 1 test predictor method, its feature Being: in described step (5), virtual test specimen space is fully equivalent in sample size, and coarse aggregate is not with close to true form Regular polyhedron is thrown in, and checks whether the virtual grating gathered materials matches with actual after input, and virtual Prediction System is with tar sand Starching as smallest discrete unit, particle diameter answers≤2mm, and every kind of virtual sample granule number is less than 100,000.
Asphalt virtual performance based on meso-level simulation the most according to claim 1 test predictor method, its feature Being: in described step (6), the contact between aggregate particle selects contact stiffness model and sliding model, asphalt mortar, bituminous mortar and collection Contact between material selects contact bonding or Burgers viscoelastic contact model, the contact between asphalt mortar, bituminous mortar according to temperature Select contact bonding, paralleling binding or Burgers viscoelastic contact model.
Asphalt virtual performance based on meso-level simulation the most according to claim 1 test predictor method, its feature Being: in described step (7), speed loading is directly applied to load wall speed and loads, and power loads by servo control processing procedure Sequence controls the speed of body of wall thus reaches to control body of wall loading force, adjusts the speed reduction monitor stress loading wall in real time σmeasuredTarget stress σ with required applyingrequiredDifference Δ σ realize that loading force is constant or curvilinear motion, G is that speed is adjusted The maximum gain parameter of joint, the rate equation of body of wallCalculate such as formula (2):
u · ( w ) = G ( σ m e a s u r e d - σ r e q u i r e d ) = G Δ σ - - - ( 2 ) .
Asphalt virtual performance based on meso-level simulation the most according to claim 1 test predictor method, its feature Being: in described step (8), in program loading procedure, monitoring in real time is protected with the curvilinear motion of the outcome variable of time correlation The effectiveness of card virtual test, including: bend fracture finder charge and sag curve, diametral compression test load is permanent with deformation curve Deformation curve, bending-type panel and CYCLIC LOADING frequency curve, permanent deformation curve, rutting depth curve etc..
Asphalt virtual performance based on meso-level simulation the most according to claim 1 test predictor method, its feature Being: in described step (9), it is that virtual test loads stop condition that laboratory test loads end condition equivalency transform, including Virtual Fatigue Test using thin see bond damage quantity reach test specimen midpoint section always bond quantity 50% as test termination bar Part, virtual destructive test reaches amount of deflection after failing load with test specimen increases 1mm again for test end condition, virtual creep test Using the vertical strain of test specimen reach 0.2 time as test end condition.
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