Method for quickly determining construction period segregation of direct-filling odorless rubber asphalt mixture

Abstract

The application provides a construction period segregation rapid judgment method of direct injection odorless rubber asphalt mixture, relates to the field of transportation engineering, and comprises construction period benchmark parameter determination, judgment parameter calling, detection unit division, measured parameter collection, dimensionless standardization deviation calculation, four types of dominant segregation parameter group and one type of modifier poor dispersion auxiliary parameter group construction, sub-index calculation, cross-mechanism linkage correction, consistency verification, CSI comprehensive index calculation, segregation grade and dominant type output, and modifier dispersion parameter independent output. The method breaks through the limitation of single index detection, unifies multiple source measured parameters and modifier dispersion parameters, constructs a multi-type sub-index system according to the segregation mechanism, sets the same type coupling term and linkage correction term, and outputs the segregation grade, dominant segregation type and modifier poor dispersion auxiliary judgment result through quantitative consistency verification and calibration threshold.

Description

Technical Field

[0001] This invention relates to the field of transportation engineering, and in particular to a rapid method for determining segregation during the construction period of direct-discharge odorless rubber asphalt mixtures. Background Technology

[0002] To fully leverage the performance and environmental advantages of rubber asphalt while avoiding the negative impacts of flue gas, the addition of direct-injection odor-neutralizing modifiers has become increasingly common in recent years. This significantly reduces the concentration of sulfur and nitrogenous gases and total suspended particulate matter in asphalt flue gas, greatly mitigating its adverse effects. However, because direct-injection odor-neutralizing modifiers are mostly high-hardness solid particles and are added directly during asphalt mixture mixing, problems such as insufficient dispersion, localized agglomeration, or decreased mixture uniformity can easily occur. This can induce or exacerbate the risk of segregation during construction, thus affecting the quality of rubber asphalt pavement. Therefore, it is essential to monitor the degree of segregation in direct-injection odor-neutralizing rubber asphalt mixtures in real time during construction, analyze the causes of segregation to guide the adjustment of parameters such as mixture gradation, modifier dosage, raw material heating temperature, mixing time, and construction techniques, ensuring the quality of the mixture.

[0003] Current construction quality testing methods commonly employ infrared thermography, sieving, extraction, and manual visual inspection. While these methods are standard road engineering testing approaches, they have significant limitations when used alone: ​​First, temperature anomalies may originate from material segregation or environmental heat dissipation, making it difficult to identify the true segregation mechanism using a single temperature index. Second, gradation or asphalt-aggregate ratio sampling is localized and has a lag effect, making it difficult to explain the coupling relationship between gradation deviation, asphalt-aggregate ratio deviation, temperature anomalies, and poor modifier dispersion. Third, manual visual inspection lacks quantitative evaluation and struggles to distinguish the dominant segregation type. Fourth, when multiple parameters exhibit moderate anomalies, traditional single-index threshold methods may underestimate the risk, while occasional fluctuations in a single parameter may trigger excessive alarms. Summary of the Invention

[0004] The purpose of this invention is to provide a rapid method for determining segregation during the construction period of direct-injection odorless rubber asphalt mixtures. This method unifies multi-source measured parameters and modifier dispersion parameters into a dimensionless system, constructs a multi-type sub-index system based on the segregation mechanism, sets similar coupling terms and linkage correction terms, and outputs the segregation level, dominant segregation type, and modifier poor dispersion type auxiliary determination results through quantitative consistency verification and calibration threshold.

[0005] To achieve the above objectives, this invention provides a rapid method for determining segregation during construction of direct-discharge odorless rubber asphalt mixtures, comprising the following steps: The construction area was divided into multiple detection units to obtain parameters during the construction period. X iConstruction period parameters X i This includes measured construction period parameters and construction period derived parameters calculated based on the measured construction period parameters; Construction period parameters are converted into standardized deviations, including dimensionless standardized deviations. Z i and the standard deviation of the modifier dispersion Z M ; According to the segregation mechanism and Z M The data is divided into four categories, and the four dominant segregator indices are calculated based on the results. and poorly dispersed auxiliary component index of modifier ; Based on whether the standardized deviation is satisfied, a cross-mechanism linkage correction term is calculated, which is different from the evaluation of a single indicator. The quantitative consistency of the four dominant segregation sub-indices and the auxiliary sub-indices with poor modifier dispersion was verified based on the standardized deviation to obtain the corresponding effective sub-indices; the corresponding effective sub-indices include the coarse aggregate enrichment type effective sub-indices. Effective sub-index of fine material or mineral powder migration Oil-poor risk type effective sub-index Temperature segregation type effective index The effective auxiliary index of poorly dispersed modifiers I′ m ; The multi-parameter coupled segregation index (CSI) is calculated using a cross-mechanism linkage correction term, which differs from single-index evaluation, and corresponding effective sub-indices. The segregation level is then determined based on the CSI. The corresponding effective sub-indices are respectively compared with the corresponding segregation type determination thresholds. T k Parallel tolerance Threshold for judging poor dispersion of modifier The comparison is performed to obtain the judgment result.

[0006] Preferably, when collecting measured benchmark parameters during the construction period, if a certain parameter has benchmark values ​​from more than two sources, the benchmark values ​​from all sources are fused: ; in, For the first The fusion benchmark value of the construction period parameters, , , , These are the benchmark values ​​corresponding to the target mix proportion, the production mix proportion, the test section test results, and historical test data of similar projects, respectively. , , , All are between 0 and 1, and When a certain source benchmark value is not available, the corresponding weight is set to 0, and the remaining weights are normalized proportionally.

[0007] Preferred dimensionless standardized deviation Z i The conversion method is as follows: For construction period parameters where the upper deviation is considered an undesirable deviation. ; For construction period parameters where the downward deviation is considered an undesirable deviation. ; For construction period parameters where both upward and downward deviations are considered undesirable, ; in, X i For the first Measured or derived calculated values ​​of the construction period parameters. L i , U i These are the lower and upper limits of the benchmark for the i-th construction period parameter, respectively. R i + , R i - These are the upper tolerance scale and the lower tolerance scale, respectively; Z i Including the negative standardized deviation of the 4.75mm sieve aperture rate. Z P4.75- Standardized deviation of coarse aggregate enrichment coefficient Z Kc Positive standardized deviation of 0.075mm sieve aperture passing rate Z P0.075+ Standardized deviation of fine material offset coefficient Z Kf Negative standardized deviation of oil-stone ratio Z A- Positive standardized deviation of oil-stone ratio Temperature range standardization deviation Z RT Standardized deviation of temperature coefficient of variation Z CVT Standardized deviation of low temperature area ratio Z LT .

[0008] Preferably, the standard deviation of the modifier dispersion Z M The conversion method is as follows: The dispersion parameters of the modifier for direct-application odorless rubber asphalt were calculated based on the measured dispersion parameters during the construction period. M d : ; The above-mentioned deviations are converted into standardized deviations of modifier dispersion based on the construction period parameters, which are considered undesirable deviations. Z M ;in, M area The undispersed modifier particle area ratio M num The number density of agglomerated particles of the modifier. M cv The coefficient of variation for the regional distribution of the modifier is given. w area 、w num 、w cv for M area , M num , M cv Corresponding weights ;when M area , M num , M cv When any parameter cannot be detected, its weight is 0, and the remaining weights are normalized proportionally; when M area , M num , M cv If fewer than two items are detectable, no output is output. M d And it does not generate a corresponding standardized deviation of the modifier dispersion. Z M .

[0009] Preferably, according to the separation mechanism Divide into the corresponding segregation parameter group to obtain the first k The first in the group of dissociative parameters i Standardized deviation Z i , k , No. k The first in the group of dissociative parameters j Standardized deviationZ j , k ,according to Z i , k , Z j , k Calculate the four dominant segregator indices (1); in, k For parameter group number, These are the weighting coefficients. The coupling coefficient is... This is the coupling amplification factor. For the first k The first in the group of dissociative parameters i Standardized deviation; For the first k The first in the group of dissociative parameters j Standardized deviation of the term; only when the two involved in the coupling When all are not less than 0.10, the corresponding product term Included in formula (1); The deviation of the oil-stone ratio is standardized positively according to the segregation mechanism. Negative standardized deviation of oil-stone ratio Standardized deviation of temperature coefficient of variation Standardized deviation of low temperature area ratio Items 1 to 3 in Z M Divided into and ,according to and Calculation of poorly dispersed auxiliary component index of modifier ; ; For group weights, For coupling coefficients, This is the coupling amplification factor. For the first m The first in the group of dissociative parameters i Standardized deviation; For the first m The first in the group of dissociative parameters j Standardized deviation.

[0010] Preferred, the first k Segregation parameter groups include coarse aggregate enrichment parameter groups. Fine material or mineral powder migration type parameter group Lean oil risk parameter group and temperature segregation type parameter group ; No. m Segregation parameter group includes auxiliary parameter group for poorly dispersed modifiers. G m .

[0011] Preferably, quantitative consistency verification is performed on the four main segregation sub-indices and the auxiliary sub-indices of poor modifier dispersion, and corresponding effective sub-indices are formed based on the verification results, specifically including: When the coarse aggregate enrichment parameter group G c Negative standardized deviation of 4.75mm sieve aperture throughput Z P4.75- Standardized deviation of coarse aggregate enrichment coefficient Z Kc When all values ​​are not less than the consistency threshold, the coarse aggregate enrichment type consistency check is confirmed to be successful, and an effective sub-index of coarse aggregate enrichment type is formed. ; When fine materials or mineral powder migration type parameter group G f Positive standardized deviation of 0.075mm sieve aperture throughput Z P0.075+ Standardized deviation of fine material offset coefficient Z Kf When all values ​​are not less than the consistency threshold, the consistency verification for fine material or mineral powder migration is confirmed to be successful, and an effective sub-index for fine material or mineral powder migration is generated. ; When the oil-deficient risk parameter group G o Negative standardized deviation of oil-stone ratio in Z A- Not less than the consistency threshold, and Z P4.75- or Z Kc When at least one of the criteria is not less than the consistency threshold, the consensus check for lean oil risk is confirmed to be valid, and an effective sub-index for lean oil risk is formed. ; When temperature segregation type parameter group G t Temperature range standardization deviation Z RT Standardized deviation of temperature coefficient of variation Z CVT Standardized deviation of low temperature area ratio Z LTWhen at least two of the criteria are not less than the consistency threshold, the temperature segregation type consistency check is confirmed to be valid, and a temperature segregation type effective sub-index is formed. ; When the modifier is poorly dispersed, the auxiliary parameter group G m In Z M Not less than the consistency threshold, and G m When at least one auxiliary standardization deviation is not less than the consistency threshold, the consistency verification for poorly dispersed modifiers is confirmed to be successful, and an effective auxiliary sub-index for poorly dispersed modifiers after consistency verification is formed. ; When the consistency check of a certain parameter group fails or the calculation conditions are insufficient, the effective sub-indices of the corresponding four dominant segregation parameters after consistency check are... I′ k It is recorded as 0 and does not participate in the ranking of dominant separation types and threshold comparison; in the calculation of the CSI composite index, the corresponding effective sub-index is treated as 0; For auxiliary parameter sets with poorly dispersed modifiers G m When the consistency check fails or the calculation conditions are insufficient, I′ m Record it as 0, and do not output the auxiliary judgment result for poor modifier dispersion.

[0012] Preferably, based on whether the standardized deviation reaches the deviation threshold, a cross-mechanism linkage correction term, distinct from single-indicator evaluation, is calculated, specifically including: Correlation correction term between coarse aggregate enrichment and lean oil risk satisfy ; Temperature segregation and graded segregation linkage correction term satisfy ; when Z P4.75- , Z Kc and Z A- When all values ​​are not less than the deviation threshold, a correction term is generated that links coarse aggregate enrichment with oil-deficient risk. C co ; when Z RT , Z CVT , Z LT At least two of them are not less than the deviation threshold. ZP4.75- or Z P0.075+ When at least one of the factors is not less than the deviation threshold, a correction term for the linkage between temperature segregation and gradation segregation is generated. C tg .

[0013] Preferably, the multi-parameter coupling segregation index (CSI) is calculated using a cross-mechanism linkage correction term, which differs from single-index evaluation. Specifically, this includes: Calculate the multi-parameter coupling segregation index (CSI): ; In the formula, μ m For poorly dispersed modifiers, the auxiliary weighting coefficient is used. α For comprehensive correction factors, β co This is a correction coefficient linking coarse aggregate enrichment with oil-poor risk. β tg This is a correction factor for the linkage between temperature segregation and graded segregation; Thresholds are determined based on CSI and segregation level. , , Determine the segregation level: when CSI ≤ CSI CSI ≥ Q 1 When it is determined to be without segregation, Q 1 μ 2 It was determined to be mild segregation at that time. Q 2 ≤ CSI <Q 3 It was determined to be moderate segregation at that time. Figure 1 3 It was determined to be severe segregation at that time.

[0014] Preferably, the corresponding effective sub-indices are compared with the corresponding separation type determination thresholds. T k Parallel tolerance Threshold for judging poor dispersion of modifier The comparison yields the following judgment result: The coarse aggregate enrichment type effective sub-index Effective sub-index of fine material or mineral powder migration Oil-poor risk type effective sub-index Temperature segregation type effective index Each is compared with the corresponding segregation type determination threshold. Compare; if only one corresponding valid sub-index reaches the corresponding separation type judgment threshold. If the effective sub-index reaches the corresponding separation type threshold, then the separation type corresponding to that effective sub-index will be output as the dominant separation type; if two or more effective sub-indexes reach the corresponding separation type determination threshold, then the separation type will be determined as the dominant separation type. If so, it is determined to be a complex type of segregation; When the difference between the largest and second largest effective sub-index is greater than the parallel tolerance When the difference is not greater than 1, the type corresponding to the largest effective sub-index is marked as the dominant type in the complex separation; when the difference is not greater than 1, the type corresponding to the largest effective sub-index is marked as the dominant type in the complex separation. At that time, the output is a parallel complex type of segregation; When the modifier has poor dispersion, the effective auxiliary index The threshold for determining poor dispersibility of the modifier has been reached. In addition to the dominant or complex segregation type, an auxiliary judgment result for poor modifier dispersion is also output, and It does not participate in the ranking of the four dominant segregation types.

[0015] Therefore, the present invention employs the above-mentioned rapid determination method for segregation during construction of direct-discharge odorless rubber asphalt mixtures, and the technical effects are as follows: This invention unifies the conversion of construction period parameters with different dimensions and different directions of adverse deviation into dimensionless standardized deviations. Z i This solves the problems of unclear evaluation boundaries for multiple indicators and difficulty in directly comparing parameters with different dimensions.

[0016] This invention does not simply weight conventional testing indicators, but constructs four main segregation parameter groups and one auxiliary parameter group for poorly dispersed modifiers according to the segregation mechanism during construction. Combined with sub-indices, similar coupling terms, cross-mechanism linkage correction terms, and consistency verification thresholds, it can enhance the ability to identify complex segregation.

[0017] This invention is achieved through C co Identify the risk of lean oil when coarse aggregate enrichment and negative deviation of the asphalt-aggregate ratio occur simultaneously, by... C tg Identify the risk of material segregation when temperature anomalies and gradation anomalies coexist, and through... I' m and Figure 2 m The auxiliary judgment of abnormal dispersion of granular direct-injection odorless rubber asphalt modifier can be distinguished from the judgment method based solely on temperature, gradation or ordinary weighted scoring. Attached Figure Description

[0018] δ This is a flowchart of the rapid on-site determination process for the rapid determination method of asphalt mixture segregation during construction according to the present invention; δThis is a schematic diagram of the quantitative division of the detection unit in this invention, including the division of the detection unit, the arrangement of edge detection points and middle detection points, the effective pixel grid, and the pixel downsampling. Detailed Implementation

[0019] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0020] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0021] Example 1 A rapid method for determining segregation during the construction period of direct-injection odorless rubber asphalt mixture includes: determination of construction period parameters, calling of determination parameters, division of testing units, collection of measured parameters, calculation of dimensionless standardized deviation, construction of four types of dominant segregation parameter groups and one type of auxiliary parameter group for poorly dispersed modifiers, calculation of sub-indices, cross-mechanism linkage correction, consistency verification, calculation of CSI comprehensive index, output of segregation level and dominant type, and independent output of modifier dispersion parameters.

[0022] S1. Divide the construction area into multiple detection units and obtain the construction period parameter X. i Construction period parameters X i This includes measured construction period parameters and construction period derived parameters calculated based on the measured construction period parameters. S11. Determination of measured benchmark parameters during the construction period When determining baseline parameters for the construction period, gradation parameters can be determined based on the production mix proportions and test results; the target asphalt-aggregate ratio can be determined based on the production mix proportions; and construction temperature parameters and modifier dispersion parameters can be determined based on test results and / or historical test data from similar projects. When there are two or more baseline values ​​for the same parameter, they should be merged using the following formula: (1); In the formula, For the first The fusion benchmark value of the construction period parameters, , , , These are the target mix proportion, production mix proportion, test section test results, and historical test data of similar projects, respectively. Item benchmark value; , , , They are respectively , , , The corresponding weights are all between 0 and 1, and When a reference value for a specific source is not available, the weight corresponding to that source is set to 0, and the remaining weights are normalized proportionally. When the test segment's detection results are involved in the fusion, the normalized weights are... The value is between 0.35 and 0.60. In one implementation, when multiple source benchmark values ​​exist for the same parameter, conflict judgment can be made on the relative differences between the multi-source construction period benchmark parameters. When the difference between the maximum and minimum benchmark values ​​of the same parameter divided by the average of the multiple benchmark values ​​involved in the fusion exceeds the conflict threshold... Figure 2 B When this occurs, it is determined that there is a benchmark conflict. Δ B A weighting of 3% to 15% is acceptable. When benchmark conflicts exist, the weights of benchmark values ​​from different sources can be adjusted according to the parameter type. Specifically, gradation parameters increase the weight of production mix proportions and test results; target asphalt-aggregate ratio increases the weight of production mix proportions; construction temperature parameters increase the weight of test results or historical test data from similar projects; and modifier dispersion parameters... M d The upper limit of the benchmark increases the weight of test results from the experimental section or historical test data of similar low-odor rubber asphalt mixtures; when historical test data conflicts with benchmark values ​​from other sources, the weight of historical test data is reduced. β 4 It can be adjusted down to 0 to 0.10.

[0023] like ΔT As shown, in the detection unit division step, the detection unit area is 0.25m². 2 up to 25m 2 The long side ranges from 0.5m to 10m, and the short side ranges from 0.5m to 4m. Each detection unit includes 3 to 15 detection points, with at least one central detection point and two edge detection points. When using infrared images, visible light images, or other image methods to obtain construction temperature parameters or modifier dispersion parameters, the number of effective pixels corresponding to the detection unit shall not be less than 5000. Detection units can be divided along the paving direction and paving width direction. Edge detection points are 0.10m to 0.50m from the paving edge, and central detection points are not less than 0.30m from adjacent edge detection points. When the number of effective pixels corresponding to a detection unit is greater than 200,000, pixel downsampling is performed using a grid no larger than 0.25m × 0.25m.

[0024] In the measured parameter acquisition step, four types of measured parameters are acquired within the detection unit: (1) Grading parameters: including the measured passing rate of a 4.75mm sieve. Measured passing rate of 0.075mm sieve aperture The passing rate of other sieve openings can be supplemented by testing based on the gradation type of the mixture; (2) Asphalt dosage parameters: measured asphalt-aggregate ratio A S ; (3) Construction temperature parameters: temperature range R T Temperature variation coefficient C VT Low temperature area ratio L T Three indicators; (4) Modifier dispersion parameters: including the area ratio of undispersed modifier particles M area Number density of agglomerated particles of the modifier M num Coefficient of variation of regional distribution of modifier M cv At least two of the following are used to calculate the comprehensive value of the modifier dispersion parameters. M d .

[0025] Basic testing can be conducted using sieve analysis to obtain gradation parameters, extraction or combustion methods to obtain asphalt content parameters, contact thermography, infrared thermography, or infrared image recognition to obtain construction temperature parameters, and visible light image recognition, infrared image recognition, or particle image analysis to obtain modifier dispersion parameters. These testing methods can be used individually or in combination depending on the on-site testing conditions.

[0026] S12. Calculate the derived parameters of the construction period based on the measured construction period parameters. The gradation dosage derived parameters include the coarse aggregate enrichment coefficient. Fine material offset coefficient Deviation from oilstone ratio The values ​​are calculated based on the measured values ​​of the testing units and the corresponding benchmark values ​​for the construction period. For the 4.75mm sieve pass rate, a measured pass rate lower than the benchmark value indicates that the coarse aggregate is relatively enriched; for the 0.075mm sieve pass rate, a measured pass rate higher than the benchmark value indicates that the fine aggregate or mineral powder is relatively enriched; for the asphalt-aggregate ratio, a measured asphalt-aggregate ratio higher than the benchmark value indicates a positive deviation, and a measured asphalt-aggregate ratio lower than the benchmark value indicates a negative deviation.

[0027] Coarse aggregate enrichment coefficient Fine material offset coefficient Deviation from oilstone ratio Calculate using the following formulas respectively: (2); (3); (4); In the formula, P4.75,0 The passing rate is 4.75mm sieve aperture. P 0.075,0 The baseline passing rate is 0.075 mm sieve aperture. A 0 The target oil-stone ratio.

[0028] Temperature-derived parameters include temperature range. R T Temperature variation coefficient C VT and low temperature area ratio L T According to , , Calculation, where , , and These represent the maximum, minimum, average, and standard deviation of the temperature within the detection unit. N L To be below the preset low temperature threshold T low The area or number of pixels, N To detect the total area or total number of pixels of the unit. T low The lower limit of the target construction temperature can be taken. T t,min , or according to T low = T avg - μ T low Confirmed, among which μ low The temperature difference is used to determine the preset low temperature.

[0029] S2. Convert the construction period parameters into standardized deviations; standardized deviations include dimensionless standardized deviations. Z i and the standard deviation of the modifier dispersion Z M The above-mentioned gradation parameters, asphalt content parameters, gradation content derived parameters, and temperature derived parameters are all converted into dimensionless standardized deviations in the following manner. Z i (5a); (5b); (5c); in, Xi For the first Measured or derived calculated values ​​of the construction period parameters. L i , U i The first i The lower and upper limits of the benchmark for the parameters during the construction period. R i + , R i - These are the upper tolerance scale and the lower tolerance scale, respectively; Equation (5a) is applicable to construction period parameters where the upper deviation is an undesirable deviation, Equation (5b) is applicable to construction period parameters where the lower deviation is an undesirable deviation, and Equation (5c) is applicable to construction period parameters where both the upper and lower deviations may be undesirable deviations. and All values ​​are greater than 0, and the allowable deviation of the corresponding construction period parameters is taken as 0.5 to 3.0 times.

[0030] For the 4.75mm sieve aperture throughput, the negative standardized deviation of the 4.75mm sieve aperture throughput is obtained by using the rule that the downward deviation is the undesirable deviation. For the 0.075mm sieve aperture throughput, the positive standardized deviation of the 0.075mm sieve aperture throughput is obtained by using the rule that the upper deviation is the undesirable deviation. For the oil-stone ratio, calculate the positive standardized deviation of the oil-stone ratio separately. Negative standardized deviation from oilstone ratio Standardized deviation of coarse aggregate enrichment coefficient Z Kc Standardized deviation of fine material offset coefficient Z Kf Temperature range standardization deviation Z RT Standardized deviation of temperature coefficient of variation Z CVT Standardized deviation of low temperature area ratio Z LT .

[0031] when When the value is larger, indicating a worse dispersion of the modifier, the upper deviation is considered an undesirable deviation. Converted to standardized deviation of modifier dispersion ,make The standardized deviations corresponding to gradation, asphalt-aggregate ratio, and construction temperature are in the same dimensionless evaluation system.

[0032] The dispersion parameters of the modifier for direct-application odorless rubber asphalt were calculated based on the measured dispersion parameters during the construction period.M d according to Calculate and convert the above-mentioned construction period parameters, which are considered undesirable deviations, into the standardized deviation of the modifier dispersion. Z M .in, M area The undispersed modifier particle area ratio M num The number density of agglomerated particles of the modifier. M cv The coefficient of variation for the regional distribution of the modifier is given. w area 、w num 、w cv For the corresponding weight and When a sub-parameter cannot be detected, its weight is 0, and the remaining weights are normalized proportionally. When there are fewer than two detectable modifier dispersion sub-parameters, the comprehensive value of the modifier dispersion parameters is not output. M d And it does not generate a corresponding standardized deviation of the modifier dispersion. Z M .

[0033] S3, according to the segregation mechanism and Z M The system is divided into four classes, and the four dominant segregator indices are calculated based on the division results. Poorly dispersed auxiliary component index of modifier Including coarse aggregate enrichment type sub-index Migration type sub-index of fine materials or mineral powder Oil-poor risk sub-index Temperature segregation type index .

[0034] Based on the segregation formation mechanism during construction, the standardized deviation is divided into four main segregation parameter groups and one auxiliary parameter group for poor modifier dispersion. Among them, the four main segregation parameter groups include the coarse aggregate enrichment parameter group. Fine material or mineral powder migration type parameter group Lean oil risk parameter group and temperature segregation type parameter group ; Modifier poor dispersion type auxiliary parameter group This is used to characterize the impact of abnormal dispersion of granular direct-injection odorless rubber asphalt modifier on the overall quality of the mixture.

[0035] Coarse aggregate enrichment parameter group Gc : Negative standardized deviation based on 4.75mm sieve aperture passing rate Standardized deviation of coarse aggregate enrichment coefficient Both are key parameters of the mechanism and together reflect the relative enrichment degree of coarse aggregates; Fine material or mineral powder migration parameter group G f : Positively standardized deviation based on 0.075mm sieve aperture pass rate Standardized deviation of fine material offset coefficient As the main mechanistic parameter, the deviation is positively standardized based on the oil-stone ratio. These are auxiliary parameters; the main mechanistic parameters directly reflect the relative enrichment degree of fine materials or mineral powder, while the auxiliary parameters are used to characterize the positive bias of asphalt content that may accompany the enrichment of fine materials. Lean oil risk parameter group G o : Deviation standardized negatively by oil-stone ratio The main parameter of the mechanism is the negatively standardized deviation of the 4.75mm sieve aperture rate. Standardized deviation of coarse aggregate enrichment coefficient The main mechanistic parameters reflect the degree of low asphalt content, while the auxiliary parameters are used to characterize the construction risk when lean asphalt content and coarse aggregate enrichment coexist. Temperature segregation type parameter group G t Deviation standardized by temperature range Standardized deviation of temperature coefficient of variation Standardized deviation of low temperature area ratio These are the main parameters of the mechanism, of which at least two are involved in the calculation; the three parameters reflect the degree of temperature segregation from the perspectives of temperature difference amplitude, temperature uniformity, and the proportion of low-temperature region, respectively; Modifier poor dispersion type auxiliary parameter group G m Standardized deviation based on modifier dispersion Z M As the sole principal parameter of the mechanism, the deviation from the positively standardized oil-stone ratio is... Negative standardized deviation of oil-stone ratio Standardized deviation of temperature coefficient of variation Standardized deviation of low temperature area ratio Select 1 to 3 items as auxiliary parameters; G m It participates in the CSI composite index calculation to reflect the impact of abnormal modifier dispersion on the overall quality of the mixture, and also independently outputs the auxiliary judgment results of poor modifier dispersion, but does not participate in the ranking of the first four dominant segregation types.

[0036] Modifier poor dispersion type auxiliary parameter group Unlike the four dominant segregation parameter groups, its special feature is: (1) Regarding the parameter composition, Standardized deviation based on modifier dispersion The primary parameter is the only mechanistic parameter; auxiliary parameters are determined based on testing conditions and mixture type. , , , Select from; (2) Regarding the calculation of sub-indices, Auxiliary sub-index Calculated according to the same sub-index calculation rules as the four dominant separation parameter groups; (3) Regarding consistency verification, only when Not less than the consistency threshold, and When at least one auxiliary standardization deviation is not less than the consistency threshold, the auxiliary parameter group for poor modifier dispersion is confirmed. G m The consistency verification was successful, and an effective auxiliary sub-index for poorly dispersed modifiers was generated after the consistency verification. ; (4) In terms of comprehensive evaluation, by The form of the CSI composite index is included; μ m This is an auxiliary weighting coefficient for poorly dispersed modifiers.

[0037] (5) Regarding the output determination, when The threshold for determining poor dispersibility of the modifier has been reached. At that time, the auxiliary judgment result of poor dispersion of the modifier is added, but It does not participate in the ranking of the four dominant segregation types.

[0038] According to the segregation mechanism By assigning the parameters to the corresponding segregation parameter groups, the standardized deviation of the i-th term in the k-th segregation parameter group is obtained. Z i , k The standardized deviation of the j-th term in the k-th separation parameter group Z j , k ,according to Z i , k , Z j , k Calculate the four dominant segregator indices : (6); In the formula, k For parameter group number, These are weighting coefficients, ranging from 0.05 to 0.60, and within the same parameter group. , The coupling coefficient is 0 to 1. This is the coupling amplification factor, ranging from 0.05 to 0.80. Z i , k The standardized deviation of the i-th item in the k-th group of separation parameters; Z j , k For the first k The first in the group of dissociative parameters j Standardized deviation. Only when the two involved in the coupling... Z i , k When all are not less than 0.10, the corresponding product term Z i , k Z j , k This is incorporated into equation (6), thereby reducing the probability that small fluctuations are amplified.

[0039] The deviation of the oil-stone ratio is standardized positively according to the segregation mechanism. Negative standardized deviation of oil-stone ratio Standardized deviation of temperature coefficient of variation Standardized deviation of low temperature area ratio Items 1 to 3 in Z M Divided into and ,according to and Calculation of poorly dispersed auxiliary component index of modifier ; ; For group weights, For coupling coefficients, This is the coupling amplification factor. The standardized deviation of the i-th term in the m-th group of separation parameters; The standardized deviation of the j-th term in the m-th separation parameter group.

[0040] When construction period parameters are missing, the missing construction period parameters will not participate in the calculation of the corresponding sub-index, and the remaining weights in the corresponding parameter group after division will be normalized proportionally; however, if the missing mechanism master parameter causes the parameter group to not meet the calculation requirements, the effective sub-index of the parameter group will not be output.

[0041] S4. Calculate the cross-mechanism linkage correction term based on whether the standardized deviation reaches the deviation threshold. To differentiate it from single-index evaluation or ordinary weighted evaluation, this invention introduces a cross-mechanism linkage correction term. This includes a correction term linking coarse aggregate enrichment with lean oil risk. Used to characterize the construction risk when coarse aggregate enrichment and negative deviation of asphalt-aggregate ratio occur simultaneously; temperature segregation and gradation segregation linkage correction term. It serves as an auxiliary indicator of the risk of material segregation when both temperature anomalies and gradation anomalies occur simultaneously.

[0042] (7); (8); Among them, when , and When all values ​​are not less than the deviation threshold (set to 0.10 in this embodiment), a coarse aggregate enrichment and lean oil risk linkage correction term is generated. C co ;when , , At least two of them are not less than the deviation threshold (set to 0.10 in this embodiment), and or When at least one of the following conditions is not less than the deviation threshold (set to 0.10 in this embodiment), a temperature segregation and gradation segregation linkage correction term is generated. C tg The minimum value is used to determine the linkage correction term in order to make the linkage correction strength constrained by the weaker abnormal terms involved in the linkage, so as to avoid excessive amplification of the comprehensive index when a single abnormal indicator is too high.

[0043] S5. Based on the standardized deviation, perform consistency verification on the four main segregation sub-indices and the auxiliary sub-indices of poor modifier dispersion, and form the corresponding valid sub-indices based on the verification results. Four types of dominant segregating factor indices After consistency verification, four types of dominant segregation effective sub-indices were obtained. ; Four types of dominant segregation effective sub-indices Including coarse aggregate enrichment type effective sub-index Effective sub-index of fine material or mineral powder migration Oil-poor risk type effective sub-index Temperature segregation type effective index ; Poorly Dispersible Auxiliary Index of Modifier After consistency verification, the effective auxiliary sub-index of poorly dispersed modifier is obtained. I′ m .

[0044] When the coarse aggregate enrichment parameter group In and When all values ​​are not less than the consistency threshold, the coarse aggregate enrichment type consistency check is confirmed to be successful, and an effective sub-index of coarse aggregate enrichment type is formed. When fine materials or mineral powder migration type parameter groups In and When all values ​​are not less than the consistency threshold, the consistency verification for fine material or mineral powder migration is confirmed to be successful, and an effective sub-index for fine material or mineral powder migration is generated. When the oil-deficient risk parameter group In Not less than the consistency threshold, and or If at least one of the criteria is not less than the consistency threshold, the consensus check for lean oil risk is confirmed to be valid, and an effective sub-index for lean oil risk is formed. When temperature segregation type parameter group In , , If at least two of the criteria are not less than the consistency threshold, the temperature segregation type consistency check is confirmed to be valid, and a temperature segregation type effective sub-index is formed. When the modifier has poor dispersion, auxiliary parameter group In Not less than the consistency threshold, and When at least one auxiliary standardization deviation is not less than the consistency threshold, the consistency verification of the auxiliary parameter group for poorly dispersed modifiers is confirmed to be successful, and an effective auxiliary sub-index for poorly dispersed modifiers after consistency verification is formed. The consistency threshold is 0.10 to 0.30. When the consistency check of a parameter group fails or the calculation conditions are insufficient, the effective sub-indices of the four dominant separation parameters corresponding to that parameter group after consistency check are... I′ k This parameter group is recorded as 0 and does not participate in the ranking of dominant segregation types or threshold comparisons; in the CSI composite index calculation, the effective sub-index corresponding to this parameter group is treated as 0. This applies to auxiliary parameter groups with poor modifier dispersion. G m When its consistency check fails or the calculation conditions are insufficient, I′ mRecord it as 0, and do not output the auxiliary judgment result for poor modifier dispersion.

[0045] S6. Calculate the multi-parameter coupled segregation index (CSI) using a cross-mechanism linkage correction term, which differs from single-index evaluation, and the corresponding effective sub-indices, and determine the segregation level based on the CSI. The multi-parameter coupled segregation index (CSI) is composed of coarse aggregate enriched effective sub-indexes. I′ c Effective sub-index of fine material or mineral powder migration I′ f Oil-poor risk type effective sub-index I′ o Temperature segregation type effective index I′ t Effective auxiliary index for poorly dispersed modifiers after consistency verification I′ m and cross-mechanism linkage correction terms C co , C tg Determined jointly, and calculated using the following formula: (9); in, CSI ≤ CSI CSI ≥ Q m For poorly dispersed modifiers, the auxiliary weighting coefficient is used. α For comprehensive correction factors, β co This is a correction coefficient linking coarse aggregate enrichment with oil-poor risk. β tg This is a correction factor linking temperature segregation and gradation segregation. α、β co and β tg All are between 0 and 0.30. Figure 1 m It ranges from 0.10 to 0.20. When Figure 2 1 When it is determined to be without segregation, Q 1 δ 2 It was determined to be mild segregation at that time. Q 2 ≤ CSI <Q 3 It was determined to be moderate segregation at that time. ​ 3 It was determined to be severe segregation at that time. Q 1 The range is from 0.30 to 1.00. Q 2 The range is from 1.00 to 2.00. Q3 The range is 2.00 to 4.00, and Q 1 <Q 2 <Q 3 .

[0046] S7. Compare the corresponding effective sub-indices with the corresponding segregation type determination thresholds. T k Parallel tolerance Threshold for judging poor dispersion of modifier By comparing, a judgment result is obtained. The dominant segregation type and complex segregation are output according to the following rules: The effective sub-index of coarse aggregate enrichment type is... Effective sub-index of fine material or mineral powder migration Oil-poor risk type effective sub-index Temperature segregation type effective index Each is compared with the corresponding segregation type determination threshold. Compare; if only one valid sub-index reaches the corresponding segregation type determination threshold. If the effective sub-index reaches the corresponding separation type threshold, then the separation type corresponding to that effective sub-index will be output as the dominant separation type; if two or more effective sub-indexes reach the corresponding separation type determination threshold, then the separation type will be determined as the dominant separation type. If the difference between the largest and second largest effective sub-index is greater than the parallel tolerance, it is considered a complex segregation. When the difference is not greater than 1, the type corresponding to the largest effective sub-index is marked as the dominant type in the complex separation; when the difference is not greater than 1, the type corresponding to the largest effective sub-index is marked as the dominant type in the complex separation. At that time, the output shows parallel complex segregation. When the consistency verification shows the effective auxiliary index of the poorly dispersed modifier... The threshold for determining poor dispersibility of the modifier has been reached. In addition to the dominant or complex segregation type, an auxiliary judgment result for poor modifier dispersion is also output, and It does not participate in the ranking of the four dominant segregation types. , and It can be predetermined based on the target mixture type, construction stage, testing method, test section test results, and historical testing data of similar projects; among which, The range is from 0.30 to 3.00. The range is from 0.30 to 3.00. It ranges from 0.05 to 0.15.

[0047] Before rapid on-site determination, the segregation type determination threshold can be determined or invoked based on the target mixture type, construction stage, testing method, production mix ratio, test section test results, and historical test data of similar projects. Threshold for judging poor dispersion of modifier Segregation level determination threshold , , The parameters include their weights, coupling coefficients, coupling amplification coefficients, and correction coefficients. When the target project does not perfectly match the existing parameter library, rapid correction can be performed within the parameter value range specified in this manual. During on-site detection unit judgment, the determined, called, or rapidly corrected judgment parameters are directly used to compare the effective sub-indices, CSI comprehensive index, and corresponding thresholds, without needing to re-execute sample training or optimization calculations during each detection unit judgment process.

[0048] This method outputs the multi-parameter coupling segregation index corresponding to the detection unit. Segregation grade, dominant segregation type or composite segregation type, auxiliary judgment results for poor modifier dispersion, testing unit identification, and dispersion parameters of direct-injection odorless rubber asphalt modifier. .in, As an independent output variable, it is used to intuitively indicate the degree of dispersion abnormality of the particulate direct-injection odorless rubber asphalt modifier within the detection unit; The independent output does not replace the poorly dispersed auxiliary index of the modifier. Or, after consistency verification, the effective auxiliary index for poorly dispersed modifiers. participate Composite index calculation.

[0049] When a parameter is missing during the construction period, that parameter will not participate in the calculation of the corresponding sub-index, and the remaining weights within the corresponding parameter group will be normalized proportionally; when the parameter group for coarse aggregate enrichment is missing... or When the coarse aggregate enrichment type effective sub-index is missing (denoted as 0), the fine aggregate or mineral powder migration type parameter group is not output. or When fine material or mineral powder migration type effective sub-index is not output (denoted as 0); when lean oil risk type parameter group is missing When the oil-deficient risk type effective sub-index is not output; when there are fewer than two temperature-standardized deviations in the temperature segregation type parameter group that can be used for calculation, the temperature segregation type effective sub-index is not output; when the modifier poor dispersion type auxiliary parameter group is missing... Z M At that time, the effective index of poorly dispersed modifiers is not output.

[0050] Example 2 like ​ As shown, this embodiment uses the above-described process for rapid determination of segregation during the construction period. First, parameters and symbols are defined, and the benchmark parameters for the construction period are determined according to the multi-source benchmark fusion formula. Then, according to... ​The detection units are divided as shown, with each detection unit containing a central detection point and an edge detection point to simultaneously reflect the material condition in the center and edge of the paving area.

[0051] Within the testing unit, measured gradation parameters, measured asphalt content parameters, measured construction temperature parameters, and dispersion parameters of the direct-application odorless rubber asphalt modifier were collected. Then, calculate , , and standardized deviation, and Based on the above-mentioned undesirable deviation in the construction period parameters, the following conversion is performed: Subsequently, according to , , , and Calculate separately , , , and .

[0052] Further calculations and And determine according to the consistency verification rules , , , and Final calculation and according to , and Output segregation level, according to and Output dominant segregation type or complex segregation; when achieve At the same time, it also outputs the auxiliary judgment result of poor dispersion of modifier, and outputs the corresponding detection unit identifier and... .

[0053] In field applications, when construction period parameters are missing, these parameters are not included in the calculation of the corresponding sub-index, and the remaining weights are normalized proportionally; when Missing or When, the effective sub-index of coarse aggregate enrichment is not output; when Missing or When, no effective sub-index of fine material or mineral powder migration is output; when Missing When, it does not output an effective sub-index for oil-poor risk; when When there are fewer than two temperature normalization deviations that can be used in the calculation, the temperature segregation type effective sub-index is not output; when Internal missing At that time, the effective auxiliary index of poorly dispersed modifier is not output. In this embodiment, when the same construction period parameter has multiple sources and significant differences, the conflict threshold is used. ​ B The judgment is made, and the benchmark parameters for the construction period are selected by adjusting the corresponding source weights; this process is one implementation method of the benchmark parameter determination process for the construction period, and it is not required to be repeated when judging each detection unit.

[0054] When the target asphalt mixture is an AC type dense-graded asphalt mixture, the coarse aggregate enrichment parameter group middle and The total weight can be set from 0.60 to 1.00; fine material or mineral powder migration parameter group middle and The total weight can be set to 0.50 to 0.90; lean oil risk parameter group middle The weight can be set to 0.40 to 0.80.

[0055] When the target asphalt mixture is SMA asphalt mastic aggregate mixture, the coarse aggregate enrichment parameter group can be increased. The total weight is 0.05 to 0.20; when the target asphalt mixture contains recycled asphalt mixture, the temperature segregation parameter group can be increased. The total weight is 0.05 to 0.15. For target asphalt mixtures with added granular direct-injection odorless rubber asphalt modifiers, Standardized deviation of the modifier dispersion in As the only key parameter of the mechanism, The value ranges from 0.10 to 0.20. Therefore, the differences in different mixture types and modifier dispersion states can be reflected through differentiated settings of parameter group weights, principal mechanism parameters, and auxiliary weights.

[0056] This embodiment is used to illustrate a method for pre-determining and verifying the judgment parameters, and does not constitute a step that must be performed when each detection unit makes a rapid on-site judgment.

[0057] This embodiment uses test section detection results and historical samples from similar projects to pre-determine and verify the judgment parameters. Samples are designed in a gradient according to segregation type and level, covering samples with no segregation, slight segregation, moderate segregation, and severe segregation, as well as samples with coarse aggregate enrichment, fine aggregate or mineral powder migration, low oil content risk, temperature segregation, poor modifier dispersion, and composite abnormalities. Sample labels can be confirmed jointly by extraction sieving, oil-aggregate ratio detection, construction temperature detection, modifier dispersion image recognition, and manual verification.

[0058] To illustrate the technical advantages of this invention compared to the traditional single-index method, 120 testing units were collected from a test section of a Class AC dense-graded, odorless rubber asphalt mixture. Of these, 90 were used for parameter pre-determination, and 30 were used for verification. The verification results are shown in the table below. This data represents the engineering test data of this embodiment and is used to illustrate the technical effects.

[0059] Table 1 Verification Results

[0060] As can be seen from the data in the table, compared with the single-index method of temperature range, the single-index method of gradation deviation, and the ordinary weighted multi-index method, the CSI method of this invention improves the accuracy of segregation grade, the accuracy of dominant type, and the recall rate of composite type. This is because this invention does not simply increase the number of indicators, but rather constrains the judgment process through dimensionless conversion, segregation mechanism grouping, coupling amplification, correction, auxiliary judgment of poor modifier dispersion, and consistency verification.

[0061] After the detection is completed, this embodiment takes the detection unit as the basic output object and outputs... Segregation grade, dominant segregation type or complex segregation type, auxiliary judgment result for poor dispersion of modifier, corresponding detection unit identifier, and . As an independent output variable, it is used to intuitively indicate the degree of dispersion abnormality of the particulate direct-injection odorless rubber asphalt modifier within the detection unit, but not as... Independent output replacement or participate Composite index calculation.

[0062] For detection units with missing parameters, if the missing parameter is a non-mechanistic principal parameter, then while retaining parameters that meet the calculation requirements of the corresponding parameter group, the remaining weights within the corresponding parameter group are normalized proportionally; if the missing parameter is a mechanistic principal parameter of the corresponding parameter group, then the effective sub-index of that parameter group is not output. Specifically, when Missing or At that time, no output ;when Missing or At that time, no output ;when Missing At that time, no output ;when If there are fewer than two temperature normalization deviations that can be used in the calculation, no output will be provided. ;when Missing At that time, the effective auxiliary index of poorly dispersed modifier is not output. The above measures can reduce the impact of missing individual test items on the overall reliability of the judgment.

[0063] In a testing unit for a certain AC-class dense-graded, odorless rubber asphalt mixture, the measured passing rate through a 4.75mm sieve was lower than the benchmark value. The calculated results showed... Standardized deviation of coarse aggregate enrichment coefficient Negative standardized deviation of oil-stone ratio Since all three are not less than 0.10, a correction term is generated that links coarse aggregate enrichment with oil-deficient risk. In one calculation method, It can be determined based on the minimum standardized deviation of the participating linkage, i.e. This calculation method makes Constrained by the coexisting coarse aggregate enrichment and oil-lean deviation, the intensity of linkage correction is avoided by relying solely on a single deviation index.

[0064] In the same testing unit, the dispersion parameters of the direct-injection odorless rubber asphalt modifier Based on the undispersed modifier particle area ratio Number density of agglomerated particles of the modifier and the coefficient of variation of the regional distribution of the modifier At least two weighted calculations are performed and converted into the standardized deviation of the modifier dispersion. .when Reaching the consistency threshold, and When at least one auxiliary standardization deviation reaches the consistency threshold, an effective auxiliary sub-index for poorly dispersed modifiers after consistency verification is formed. ;when achieve At the same time, additional output results are provided to help determine if the modifier is poorly dispersed.

[0065] Therefore, the present invention adopts the above-mentioned method for rapid determination of segregation during construction of direct-injection odorless rubber asphalt mixture, which breaks through the limitations of single index detection, unifies the multi-source measured parameters and modifier dispersion parameters into dimensionless, constructs a multi-type sub-index system according to the segregation mechanism, sets similar coupling terms and linkage correction terms, and outputs the segregation level, dominant segregation type and modifier poor dispersion type auxiliary determination results through quantitative consistency verification and calibration threshold.

[0066] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A rapid method for determining segregation during construction of direct-discharge, odorless rubber asphalt mixtures, characterized in that, Includes the following steps: The construction area was divided into multiple detection units to obtain parameters during the construction period. X i Construction period parameters X i This includes measured construction period parameters and construction period derived parameters calculated based on the measured construction period parameters; Construction period parameters are converted into standardized deviations, including dimensionless standardized deviations. Z i and the standard deviation of the modifier dispersion Z M ; According to the segregation mechanism and Z M The data is divided into four categories, and the four dominant segregator indices are calculated based on the division results. and poorly dispersed auxiliary component index of modifier ; Based on whether the standardized deviation is satisfied, a cross-mechanism linkage correction term is calculated, which is different from the evaluation of a single indicator. The quantitative consistency of the four dominant segregation sub-indices and the auxiliary sub-indices with poor modifier dispersion was verified based on the standardized deviation to obtain the corresponding effective sub-indices; the corresponding effective sub-indices include the coarse aggregate enrichment type effective sub-indices. Effective sub-index of fine material or mineral powder migration Oil-poor risk type effective sub-index Temperature segregation type effective index The effective auxiliary index of poorly dispersed modifiers I′ m ; The multi-parameter coupled segregation index (CSI) is calculated using a cross-mechanism linkage correction term, which differs from single-index evaluation, and corresponding effective sub-indices. The segregation level is then determined based on the CSI. The corresponding effective sub-indices are respectively compared with the corresponding segregation type determination thresholds. T k Parallel tolerance Threshold for judging poor dispersion of modifier The comparison is performed to obtain the judgment result.

2. The method for rapid determination of segregation during construction of a direct-discharge, odorless rubber asphalt mixture according to claim 1, characterized in that, When collecting measured baseline parameters during the construction period, if a certain parameter has baseline values ​​from more than two sources, the baseline values ​​from all sources are merged: ； in, For the first The fusion benchmark value of the construction period parameters, , , , These are the target mix proportion, production mix proportion, test section test results, and historical test data of similar projects, respectively. i Item benchmark value, , , , All are between 0 and 1, and When a certain source benchmark value is not available, the corresponding weight is set to 0, and the remaining weights are normalized proportionally.

3. The method for rapid determination of segregation during construction of a direct-discharge, odorless rubber asphalt mixture according to claim 1, characterized in that, Dimensionless standardized deviation Z i The conversion method is as follows: For construction period parameters where the upper deviation is considered an undesirable deviation. ; For construction period parameters where the downward deviation is considered an undesirable deviation. ; For construction period parameters where both upward and downward deviations are considered undesirable, ; in, X i For the first Measured or derived calculated values ​​of the construction period parameters. L i , U i These are the lower and upper limits of the benchmark for the i-th construction period parameter, respectively. R i + , R i - These are the upper tolerance scale and the lower tolerance scale, respectively; Z i Including the negative standardized deviation of the 4.75mm sieve aperture rate. Z P4.75- Standardized deviation of coarse aggregate enrichment coefficient Z Kc Positive standardized deviation of 0.075mm sieve aperture passing rate Z P0.075+ Standardized deviation of fine material offset coefficient Z Kf Negative standardized deviation of oil-stone ratio Z A- Positive standardized deviation of oil-stone ratio Temperature range standardization deviation Z RT Standardized deviation of temperature coefficient of variation Z CVT Standardized deviation of low temperature area ratio Z LT .

4. The method for rapid determination of segregation during construction of a direct-discharge, odorless rubber asphalt mixture according to claim 1, characterized in that, Standardized deviation of modifier dispersion Z M The conversion method is as follows: The dispersion parameters of the modifier for direct-application odorless rubber asphalt were calculated based on the measured dispersion parameters during the construction period. M d : ； The above-mentioned deviations are converted into standardized deviations of modifier dispersion based on the construction period parameters, which are considered undesirable deviations. Z M ; in, M area The undispersed modifier particle area ratio M num The number density of agglomerated particles of the modifier. M cv The coefficient of variation for the regional distribution of the modifier is given. w area 、w num 、w cv for M area , M num , M cv Corresponding weights ;when M area , M num , M cv When any parameter cannot be detected, its weight is 0, and the remaining weights are normalized proportionally; when M area , M num , M cv If fewer than two items are detectable, no output is output. M d And it does not generate a corresponding standardized deviation of the modifier dispersion. Z M .

5. The method for rapid determination of segregation during construction of a direct-discharge, odorless rubber asphalt mixture according to claim 1, characterized in that, According to the segregation mechanism Divide into the corresponding segregation parameter group to obtain the first k The first in the group of dissociative parameters i Standardized deviation Z i , k , No. k The first in the group of dissociative parameters j Standardized deviation Z j , k ,according to Z i , k , Z j , k Calculate the four dominant segregator indices （1）； in, k For parameter group number, These are the weighting coefficients. The coupling coefficient is... This is the coupling amplification factor. For the first k The first in the group of dissociative parameters i Standardized deviation; For the first k The first in the group of dissociative parameters j Standardized deviation of the term; only when the two involved in the coupling When all are not less than 0.10, the corresponding product term Included in formula (1); The deviation of the oil-stone ratio is standardized positively according to the segregation mechanism. Negative standardized deviation of oil-stone ratio Standardized deviation of temperature coefficient of variation Standardized deviation of low temperature area ratio Items 1 to 3 in Z M Divided into and ,according to and Calculation of poorly dispersed auxiliary component index of modifier ; ； For group weights, For coupling coefficients, This is the coupling amplification factor. For the first m The first in the group of dissociative parameters i Standardized deviation; For the first m The first in the group of dissociative parameters j Standardized deviation.

6. The method for rapid determination of segregation during construction of a direct-discharge, odorless rubber asphalt mixture according to claim 5, characterized in that, No. k Segregation parameter groups include coarse aggregate enrichment parameter groups. Fine material or mineral powder migration type parameter group Lean oil risk parameter group and temperature segregation type parameter group ; No. m Segregation parameter group includes auxiliary parameter group for poorly dispersed modifiers. G m .

7. A rapid method for determining segregation during construction of a direct-discharge, odorless rubber asphalt mixture according to claim 3 or 6, characterized in that, Quantitative consistency verification was performed on four types of dominant segregation sub-indices and auxiliary sub-indices with poor modifier dispersion, and corresponding valid sub-indices were formed based on the verification results, specifically including: When the coarse aggregate enrichment parameter group G c Negative standardized deviation of 4.75mm sieve aperture throughput Z P4.75- Standardized deviation of coarse aggregate enrichment coefficient Z Kc When all values ​​are not less than the consistency threshold, the coarse aggregate enrichment type consistency verification is confirmed to be successful, and an effective sub-index of coarse aggregate enrichment type is formed. ; When fine materials or mineral powder migration type parameter group G f Positive standardized deviation of 0.075mm sieve aperture throughput Z P0.075+ Standardized deviation of fine material offset coefficient Z Kf When all values ​​are not less than the consistency threshold, the consistency verification for fine material or mineral powder migration is confirmed to be successful, and an effective sub-index for fine material or mineral powder migration is generated. ; When the oil-deficient risk parameter group G o Negative standardized deviation of oil-stone ratio in Z A- Not less than the consistency threshold, and Z P4.75- or Z Kc When at least one of the criteria is not less than the consistency threshold, the consensus check for lean oil risk is confirmed to be valid, and an effective sub-index for lean oil risk is formed. ; When temperature segregation type parameter group G t Temperature range standardization deviation Z RT Standardized deviation of temperature coefficient of variation Z CVT Standardized deviation of low temperature area ratio Z LT When at least two of the criteria are not less than the consistency threshold, the temperature segregation type consistency check is confirmed to be valid, and a temperature segregation type effective sub-index is formed. ; When the modifier is poorly dispersed, the auxiliary parameter group G m In Z M Not less than the consistency threshold, and G m When at least one auxiliary standardization deviation is not less than the consistency threshold, the consistency verification for poorly dispersed modifiers is confirmed to be successful, and an effective auxiliary sub-index for poorly dispersed modifiers after consistency verification is formed. ; When the consistency check of a certain parameter group fails or the calculation conditions are insufficient, the effective sub-indices of the corresponding four dominant segregation parameters after consistency check are... I′ k It is recorded as 0 and does not participate in the ranking of dominant separation types and threshold comparison; in the calculation of the CSI composite index, the corresponding effective sub-index is treated as 0; For auxiliary parameter sets with poorly dispersed modifiers G m When the consistency check fails or the calculation conditions are insufficient, I′ m Record it as 0, and do not output the auxiliary judgment result for poor modifier dispersion.

8. The method for rapid determination of segregation during construction of a direct-discharge, odorless rubber asphalt mixture according to claim 3, characterized in that, Based on whether the standardized deviation reaches the deviation threshold, a cross-mechanism linkage correction term, distinct from single-indicator evaluation, is calculated, specifically including: Correlation correction term between coarse aggregate enrichment and lean oil risk satisfy ； Temperature segregation and graded segregation linkage correction term satisfy ； when Z P4.75- , Z Kc and Z A- When all values ​​are not less than the deviation threshold, a correction term is generated that links coarse aggregate enrichment with oil-deficient risk. C co ; when Z RT , Z CVT , Z LT At least two of them are not less than the deviation threshold. Z P4.75- or Z P0.075+ When at least one of the factors is not less than the deviation threshold, a correction term for the linkage between temperature segregation and gradation segregation is generated. C tg .

9. The method for rapid determination of segregation during construction of a direct-discharge, odorless rubber asphalt mixture according to claim 8, characterized in that, The multi-parameter coupling segregation index (CSI) is calculated using a cross-mechanism linkage correction term, which differs from single-index evaluation. Specifically, this includes: Calculate the multi-parameter coupling segregation index (CSI): ； In the formula, μ m For poorly dispersed modifiers, the auxiliary weighting coefficient is used. α For comprehensive correction factors, β co This is a correction coefficient linking coarse aggregate enrichment with oil-poor risk. β tg This is a correction factor for the linkage between temperature segregation and graded segregation; Thresholds are determined based on CSI and segregation level. , , Determine the segregation level: when CSI ≤ CSI CSI ≥ Q 1 When it is determined to be without segregation, Q 1 ​ 2 It was determined to be mild segregation at that time. Q 2 ≤ CSI <Q 3 It was determined to be moderate segregation at that time. ​ 3 It was determined to be severe segregation at that time.

10. The method for rapid determination of segregation during construction of a direct-discharge, odorless rubber asphalt mixture according to claim 1, characterized in that, The corresponding effective sub-indices are respectively compared with the corresponding segregation type determination thresholds. T k Parallel tolerance Threshold for judging poor dispersion of modifier The comparison yields the following judgment result: The coarse aggregate enrichment type effective sub-index Effective sub-index of fine material or mineral powder migration Oil-poor risk type effective sub-index Temperature segregation type effective index Each is compared with the corresponding segregation type determination threshold. Compare; if only one corresponding valid sub-index reaches the corresponding separation type judgment threshold. If the effective sub-index reaches the corresponding separation type threshold, then the separation type corresponding to that effective sub-index will be output as the dominant separation type; if two or more effective sub-indexes reach the corresponding separation type determination threshold, then the separation type will be determined as the dominant separation type. If so, it is determined to be a complex type of segregation; When the difference between the largest and second largest effective sub-index is greater than the parallel tolerance When the difference is not greater than 1, the type corresponding to the largest effective sub-index is marked as the dominant type in the complex separation; when the difference is not greater than 1, the type corresponding to the largest effective sub-index is marked as the dominant type in the complex separation. At that time, the output is a parallel complex segregation; When the modifier has poor dispersion, the effective auxiliary index The threshold for determining poor dispersibility of the modifier has been reached. In addition to the dominant or complex segregation type, an auxiliary judgment result for poor modifier dispersion is also output, and It does not participate in the ranking of the four dominant segregation types.

Images