Method and device for predicting maximum accumulation rate of emulsified asphalt particles

Abstract

The invention relates to the technical field of emulsified asphalt performance prediction, in particular to a method and device for predicting the maximum accumulation rate of emulsified asphalt particles, and the method comprises the following steps: (1) determining the characteristic particle size and the characteristic viscosity of emulsified asphalt; and (2) determining the storage stability of the emulsified asphalt according to the characteristic particle size and the characteristic viscosity of the emulsified asphalt. According to the invention, the drying and film-forming quality of the emulsified asphalt can be reflected, and the quality of the emulsified asphalt can be rapidly evaluated by rapidly predicting the emulsified asphalt.

Description

Technical Field

[0001] The present invention relates to the technical field of emulsified asphalt performance prediction, and specifically relates to a method and device for predicting the maximum accumulation rate of emulsified asphalt particles. Background Art

[0002] Emulsified asphalt is a material widely used in new construction, preventive maintenance and regeneration of asphalt pavement, including bonding transition layer technologies for new pavement such as tack coat and penetration coat, emulsified asphalt preventive technologies such as slurry seal, micro-surfacing, sand-containing fog seal, and emulsified asphalt cold regeneration / cold mix technology. The quality of emulsified asphalt greatly affects the application level of these pavement materials, so how to ensure the quality of emulsified asphalt is the key to the construction quality of such pavement materials.

[0003] During use, emulsified asphalt undergoes a drying and film-forming process, which includes water evaporation, close accumulation of asphalt particles, and demulsification to form a continuous asphalt film. The close accumulation of asphalt particles formed during the drying process of emulsified asphalt greatly affects the drying and film-forming properties of emulsified asphalt. Figure 1 As shown in the figure, the greater the maximum accumulation rate of particles in the emulsified asphalt drying process, the higher the water evaporation rate of the emulsified asphalt can be dried to a state with a lower residual water content, thereby greatly shortening the drying process of the emulsified asphalt; at the same time, the greater the maximum accumulation rate of particles, the fewer internal pores caused by evaporating water, the denser the emulsified asphalt film structure, and the better the film-forming performance. Therefore, the maximum accumulation rate of particles in the emulsified asphalt drying process can reflect the drying and film-forming quality of the emulsified asphalt, and rapid prediction of it can quickly evaluate the quality of the emulsified asphalt. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention aims to provide a method and device for predicting the maximum accumulation rate of emulsified asphalt particles.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for predicting the maximum accumulation rate of emulsified asphalt particles, the steps of which are:

[0006] (1) Determine the characteristic particle size and characteristic viscosity of emulsified asphalt;

[0007] (2) Determine the storage stability of the emulsified asphalt based on the characteristic particle size and characteristic viscosity of the emulsified asphalt.

[0008] In some embodiments, in step (1), the characteristic particle size of the emulsified asphalt is determined by:

[0009] Obtaining particle size distribution curve of emulsified asphalt;

[0010] The characteristic particle size of the emulsified asphalt is determined based on the particle size distribution curve of the emulsified asphalt.

[0011] In some embodiments, the particle size distribution curve of the emulsified asphalt is obtained as follows:

[0012] The particle size distribution curve of emulsified asphalt was obtained using a laser particle size analyzer.

[0013] In some embodiments, the characteristic particle size of the emulsified asphalt is determined according to the particle size distribution curve of the emulsified asphalt as follows:

[0014] The particle size distribution curve is used to determine the particle size corresponding to the set value of the cumulative particle size distribution number.

[0015] In some embodiments, in step (1), the characteristic viscosity of the emulsified asphalt is determined by:

[0016] Obtain the relationship curve between the viscosity and shear rate of emulsified asphalt with a specific solid content;

[0017] A platform area where the viscosity and shear rate change slowly is obtained, and the average viscosity value of the platform area is taken as the characteristic viscosity value.

[0018] To achieve the above object, the present invention also provides the following technical solution: a device for predicting the maximum accumulation rate of emulsified asphalt particles, based on the prediction method, comprising:

[0019] A characteristic particle size determination module is used to determine the characteristic particle size of emulsified asphalt;

[0020] Characteristic viscosity determination module, used to determine the characteristic viscosity of emulsified asphalt;

[0021] The calculation module is used to determine the maximum accumulation rate of emulsified asphalt particles according to the characteristic particle size and characteristic viscosity of the emulsified asphalt.

[0022] In some embodiments, the characteristic particle size determination module includes:

[0023] A particle size distribution curve acquisition unit, used to acquire a particle size distribution curve of emulsified asphalt;

[0024] The first calculation unit is used to determine the characteristic particle size of the emulsified asphalt according to the particle size distribution curve of the emulsified asphalt.

[0025] In some embodiments, the intrinsic viscosity determination module includes:

[0026] Rheological curve acquisition unit, used to obtain the relationship curve between the viscosity and shear rate of emulsified asphalt with a specific solid content;

[0027] The second calculation unit obtains a platform region where the viscosity and shear rate change slowly, and takes the average value of the viscosity in the platform region as the characteristic viscosity.

[0028] Compared with the prior art, the beneficial effects of the present invention are as follows: by analyzing the influencing factors of the maximum packing rate of emulsified asphalt particles, the characteristic particle size and characteristic viscosity of the emulsified asphalt are determined, and the maximum packing rate of the emulsified asphalt particles is determined according to the characteristic particle size and characteristic viscosity of the emulsified asphalt. Thus, the relevant influencing factors can be obtained simply and conveniently, and the maximum packing rate of any emulsified asphalt particles can be predicted quickly and accurately. The test time of the maximum packing rate and drying film-forming performance of emulsified asphalt particles is greatly reduced, which has important reference significance and guiding value for the detection and rapid testing of the drying and film-forming performance of emulsified asphalt, and the research and quality control of emulsified asphalt.

[0029] Details of one or more embodiments of the present application are presented in the following drawings and descriptions to make other features, purposes and advantages of the present application more concise and easy to understand. The present application is fully described and understood through the embodiments of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is the meaning of the maximum packing rate of the emulsified asphalt particles of the present invention;

[0031] Figure 2 is a flow chart of the prediction method of the present invention;

[0032] Figure 3 is a schematic diagram of determining the characteristic particle size of emulsified asphalt using a particle size distribution curve in an embodiment of the present invention;

[0033] Figure 4 Schematic diagram of rheological curve of viscosity and shear rate of emulsified asphalt in an embodiment of the present invention;

[0034] Figure 5 It is a structural block diagram of the prediction device of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] like Figure 1As shown, in essence, the particle stacking state formed during the drying process of emulsified asphalt depends on the Brownian motion ability of the asphalt particles in the emulsion. The greater the Brownian motion ability of the asphalt particles, the easier it is for the asphalt particles to form a denser stacking state; conversely, the smaller the Brownian motion ability of the asphalt particles, the easier it is for each asphalt particle to stay in a fixed position, and it is easier to form gaps in the particle stacking. The Brownian motion ability of asphalt particles in the emulsion is related to the particle size and the viscosity of the emulsion. Therefore, the key factors affecting the maximum stacking rate of emulsified asphalt particles are mainly the viscosity of the emulsified asphalt and the asphalt particles. Based on the above characteristics,

[0037] The present invention provides a technical solution: a method for predicting the maximum accumulation rate of emulsified asphalt particles, the steps of which are:

[0038] (1) Determine the characteristic particle size and characteristic viscosity of emulsified asphalt;

[0039] (2) Determine the storage stability of the emulsified asphalt based on the characteristic particle size and characteristic viscosity of the emulsified asphalt.

[0040] The characteristic particle size and characteristic viscosity of the emulsified asphalt are determined, and the maximum packing rate of the emulsified asphalt particles is determined according to the characteristic particle size and characteristic viscosity of the emulsified asphalt.

[0041] like Figure 2 As shown, in step (1), the characteristic particle size of the emulsified asphalt is determined as follows:

[0042] Obtaining particle size distribution curve of emulsified asphalt;

[0043] The characteristic particle size of the emulsified asphalt is determined based on the particle size distribution curve of the emulsified asphalt.

[0044] The method for obtaining the particle size distribution curve of emulsified asphalt is as follows:

[0045] The particle size distribution curve of emulsified asphalt was obtained using a laser particle size analyzer.

[0046] The characteristic particle size of the emulsified asphalt is determined according to the particle size distribution curve of the emulsified asphalt as follows:

[0047] The particle size distribution curve is used to determine the particle size corresponding to the set value of the cumulative particle size distribution number.

[0048] In step (1), the characteristic viscosity of the emulsified asphalt is determined as follows:

[0049] The relationship curve between viscosity and shear rate of emulsified asphalt with specific solid content is obtained by using a rheometer;

[0050] A platform area where the viscosity and shear rate change slowly is obtained, and the average viscosity value of the platform area is taken as the characteristic viscosity value.

[0051] The process of determining the characteristic particle size of the emulsified asphalt according to the particle size distribution curve of the emulsified asphalt is as follows: using the particle size distribution curve to determine the particle size corresponding to the cumulative particle size distribution number as a set value, such as 50%, such as Figure 3 shown.

[0052] The specific process of fitting the rheological curve to obtain the characteristic viscosity of emulsified asphalt is as follows:

[0053] The relationship curve between the viscosity of emulsified asphalt and the shear rate at a specific solid content (such as 60%) is obtained, and the platform area where the viscosity and shear rate change slowly is obtained, and the average value of the viscosity in the platform area is taken as the characteristic viscosity, such as Figure 4 shown.

[0054] The maximum accumulation rate of the emulsified asphalt particles is determined according to the characteristic particle size and characteristic viscosity of the emulsified asphalt.

[0055] Specifically, the maximum accumulation rate of emulsified asphalt particles φ can be calculated according to the following formula: m :

[0056]

[0057] Where R is the characteristic particle size of emulsified asphalt, η is the characteristic viscosity of emulsified asphalt, and a, b and c are adjustment coefficients.

[0058] The characteristic particle size R of emulsified asphalt is the particle size at which the cumulative particle size distribution reaches 50%, in μm; the characteristic viscosity η of emulsified asphalt is the average viscosity of the emulsified asphalt platform area with a solid content of 60%, in Pa·s, and the test temperature is 25°C.

[0059] By using the characteristic particle size and characteristic viscosity obtained by testing, combined with the maximum packing rate prediction formula (1) of emulsified asphalt particles, the adjustment coefficient a for any emulsified asphalt is fitted to be 0.2076, the adjustment coefficient b is 0.002738, and the adjustment coefficient c is 0.695.

[0060] Through the prediction method technical scheme of the present application, the prediction method of the maximum packing rate of emulsified asphalt particles provided by the present invention analyzes the influencing factors of the maximum packing rate of emulsified asphalt particles, determines the characteristic particle size and characteristic viscosity of emulsified asphalt, and determines the maximum packing rate of emulsified asphalt particles according to the characteristic particle size and characteristic viscosity of the emulsified asphalt. Therefore, the relevant influencing factors can be obtained simply and conveniently, and the maximum packing rate of any emulsified asphalt particles can be predicted quickly and accurately, which has important reference significance and guiding value for the rapid evaluation of the drying and film-forming properties of emulsified asphalt, and the research and quality control of emulsified asphalt.

[0061] The method for predicting the maximum packing rate of emulsified asphalt particles provided by the present invention can quickly measure the characteristic particle size R in the particle size distribution and the plastic viscosity η of the emulsified asphalt, which are parameters involved in the calculation formula of the maximum packing rate of emulsified asphalt particles, through a laser particle size analyzer and a rheometer, and the values ​​of the adjustment coefficients a, b, and c are known values, so that the parameter acquisition process and the calculation process are simple and fast. The calculated predicted value of the maximum packing rate of particles has a small deviation from the measured value, has good reliability, and can accurately and quickly predict the maximum packing rate of any emulsified asphalt particles.

[0062] The following further illustrates the process and test results of using the scheme of the present invention to test emulsified asphalt with different particle size distributions and viscosities.

[0063] The laser particle size analyzer test obtained 15 types of emulsified asphalts and the particle size R at which the cumulative particle size distribution reached 50%. The rheometer test and the obtained characteristic viscosity (average viscosity in the platform area) η were used, combined with the prediction formula for the maximum stacking rate of emulsified asphalt particles, to calculate the predicted value of the maximum stacking rate of emulsified asphalt particles.

[0064] For 15 types of emulsified asphalt, the predicted values ​​and measured values ​​of the maximum particle stacking rate calculated based on their characteristic particle size and characteristic viscosity are shown in Table 1.

[0065] As can be seen from Table 1, the predicted value of the maximum packing rate of emulsified asphalt particles is very close to the measured value, and the maximum packing rate of emulsified asphalt particles can be accurately predicted. In addition, the characteristic particle size and characteristic viscosity of the emulsified asphalt in the 15 groups of embodiments vary greatly, which shows that the particle maximum packing rate prediction method of the present invention is applicable to emulsified asphalt with various particle size distributions and viscosity ranges.

[0066] Table 1 Measured and predicted values ​​of characteristic particle size, characteristic viscosity and maximum particle accumulation rate of emulsified asphalt

[0067] Example R(μm) η(Pa·s) <![CDATA[φ m Predicted value]]> <![CDATA[φ m Measured value]]> Prediction bias 1 4.775 0.03787 0.8106 0.8171 -0.0065 2 2.926 0.03964 0.8344 0.8242 0.0102 3 4.17 0.05696 0.7941 0.7964 -0.0023 4 5.537 0.0299 0.8228 0.8221 0.0007 5 1.759 0.04132 0.8776 0.8886 -0.011 6 1.804 0.03823 0.8797 0.8791 0.0006 7 1.718 0.04269 0.8783 0.8868 -0.0085 8 1.761 0.04323 0.8748 0.8778 .0.003 9 1.762 0.05037 0.8663 0.8554 0.0109 10 1.836 0.031 0.8933 0.8896 0.0037 11 1.874 0.04738 0.8626 0.8536 0.009 12 1.816 0.0499 0.8633 0.8672 -0.0039 13 3.842 0.03051 0.8388 0.831 0.0078 14 3.004 0.04289 0.8279 0.8356 -0.0077 15 3.245 0.04594 0.8186 0.8253 -0.0067

[0068] like Figure 5 As shown, a device for predicting the maximum accumulation rate of emulsified asphalt particles, based on the prediction method, includes:

[0069] The characteristic particle size determination module 21 is used to determine the characteristic particle size of the emulsified asphalt;

[0070] The characteristic viscosity determination module 22 is used to determine the characteristic viscosity of the emulsified asphalt;

[0071] The calculation module 23 is used to determine the maximum accumulation rate of the emulsified asphalt particles according to the characteristic particle size and characteristic viscosity of the emulsified asphalt. Specifically, the maximum accumulation rate of the emulsified asphalt particles can be calculated according to the above formula (1).

[0072] The characteristic particle size determination module comprises:

[0073] A particle size distribution curve acquisition unit, used to acquire a particle size distribution curve of emulsified asphalt;

[0074] The first calculation unit is used to determine the characteristic particle size of the emulsified asphalt according to the particle size distribution curve of the emulsified asphalt.

[0075] The characteristic viscosity determination module comprises:

[0076] Rheological curve acquisition unit, used to obtain the relationship curve between the viscosity and shear rate of emulsified asphalt with a specific solid content;

[0077] The second calculation unit obtains a platform region where the viscosity and shear rate change slowly, and takes the average value of the viscosity in the platform region as the characteristic viscosity.

[0078] In the above manner, the device for predicting the maximum accumulation rate of emulsified asphalt particles provided by the present invention determines the characteristic particle size and characteristic viscosity of the emulsified asphalt by analyzing the influencing factors of the maximum accumulation rate of the emulsified asphalt particles, and determines the maximum accumulation rate of the emulsified asphalt particles according to the characteristic particle size and characteristic viscosity of the emulsified asphalt. Thus, the relevant influencing factors can be obtained simply and conveniently, and the maximum accumulation rate of any emulsified asphalt particles can be predicted quickly and accurately, which has important reference significance and guiding value for the rapid evaluation of the drying and film-forming properties of the emulsified asphalt, and the research and quality control of the emulsified asphalt.

[0079] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

[0080] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for predicting the maximum accumulation rate of emulsified asphalt particles, characterized in that: The steps are: (1) Determine the characteristic particle size and characteristic viscosity of emulsified asphalt; (2) Determine the storage stability of the emulsified asphalt based on the characteristic particle size and characteristic viscosity of the emulsified asphalt.

2. The method for predicting the maximum accumulation rate of emulsified asphalt particles according to claim 1, characterized in that: In step (1), the characteristic particle size of the emulsified asphalt is determined as follows: Obtaining particle size distribution curve of emulsified asphalt; The characteristic particle size of the emulsified asphalt is determined based on the particle size distribution curve of the emulsified asphalt.

3. The method for predicting the maximum accumulation rate of emulsified asphalt particles according to claim 2, characterized in that: The particle size distribution curve of emulsified asphalt is obtained as follows: The particle size distribution curve of emulsified asphalt was obtained using a laser particle size analyzer.

4. The method for predicting the maximum accumulation rate of emulsified asphalt particles according to claim 2, characterized in that: The characteristic particle size of the emulsified asphalt is determined according to the particle size distribution curve of the emulsified asphalt as follows: The particle size distribution curve is used to determine the particle size corresponding to the set value of the cumulative particle size distribution number.

5. The method for predicting the maximum accumulation rate of emulsified asphalt particles according to claim 1, characterized in that: In step (1), the characteristic viscosity of the emulsified asphalt is determined as follows: Obtain the relationship curve between the viscosity and shear rate of emulsified asphalt with a specific solid content; A platform area where the viscosity and shear rate change slowly is obtained, and the average viscosity value of the platform area is taken as the characteristic viscosity value.

6. A device for predicting the maximum accumulation rate of emulsified asphalt particles, characterized in that: The prediction method according to any one of claims 1 to 5 comprises: A characteristic particle size determination module is used to determine the characteristic particle size of emulsified asphalt; Characteristic viscosity determination module, used to determine the characteristic viscosity of emulsified asphalt; The calculation module is used to determine the maximum accumulation rate of emulsified asphalt particles according to the characteristic particle size and characteristic viscosity of the emulsified asphalt.

7. The device for predicting the maximum accumulation rate of emulsified asphalt particles according to claim 6, characterized in that: The characteristic particle size determination module comprises: A particle size distribution curve acquisition unit, used to acquire a particle size distribution curve of emulsified asphalt; The first calculation unit is used to determine the characteristic particle size of the emulsified asphalt according to the particle size distribution curve of the emulsified asphalt.

8. The device for predicting the maximum accumulation rate of emulsified asphalt particles according to claim 6, characterized in that: The characteristic viscosity determination module comprises: Rheological curve acquisition unit, used to obtain the relationship curve between the viscosity and shear rate of emulsified asphalt with a specific solid content; The second calculation unit obtains a platform region where the viscosity and shear rate change slowly, and takes the average value of the viscosity in the platform region as the characteristic viscosity.

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