阅读说明：本技术 乳化沥青储存稳定性预测方法及装置 (Method and device for predicting storage stability of emulsified asphalt ) 是由 李纯 时敬涛 黄宏海 王体宏 欧阳剑 孟岩 于 2021-09-10 设计创作，主要内容包括：本发明公开了一种乳化沥青储存稳定性预测方法及装置,该方法包括：确定乳化沥青的特征粒径及塑性黏度；根据所述乳化沥青的特征粒径及塑性黏度确定乳化沥青储存稳定性。利用本发明,可以快速评定乳化沥青的储存稳定性。(The invention discloses a method and a device for predicting the storage stability of emulsified asphalt, wherein the method comprises the following steps: determining the characteristic particle size and plastic viscosity of the emulsified asphalt; and determining the storage stability of the emulsified asphalt according to the characteristic particle size and the plastic viscosity of the emulsified asphalt. By using the method, the storage stability of the emulsified asphalt can be rapidly evaluated.)

1. A method for predicting the storage stability of emulsified asphalt, which is characterized by comprising the following steps:

determining the characteristic particle size and plastic viscosity of the emulsified asphalt;

and determining the storage stability of the emulsified asphalt according to the characteristic particle size and the plastic viscosity of the emulsified asphalt.

2. The method of claim 1, wherein determining the characteristic particle size and plastic viscosity of the emulsified asphalt comprises:

obtaining a particle size distribution curve of emulsified asphalt;

and determining the characteristic particle size of the emulsified asphalt according to the particle size distribution curve of the emulsified asphalt.

3. The method of claim 2, wherein the obtaining a particle size distribution curve of the emulsified asphalt comprises:

and obtaining a particle size distribution curve of the emulsified asphalt by using a laser particle sizer.

4. The method of claim 2, wherein determining the characteristic particle size of the emulsified asphalt from the particle size distribution curve of the emulsified asphalt comprises:

and determining the corresponding particle size when the cumulative particle size distribution number is a set value by using the particle size distribution curve.

5. The method of claim 1, wherein obtaining the plastic viscosity of the emulsified asphalt comprises:

obtaining a rheological curve of the emulsified asphalt;

and fitting the rheological curve by using a Bingham model to obtain the plastic viscosity of the emulsified asphalt.

6. The method of claim 5, wherein obtaining the rheological profile of the emulsified asphalt comprises:

and acquiring a rheological curve of the emulsified asphalt by using a rheometer.

7. The method of claim 5, wherein said fitting the rheological curve using a Bingham model to obtain the plastic viscosity of the emulsified asphalt comprises:

and selecting data in a linear relation between the shear stress and the shear rate by using the obtained rheological curve, and fitting the rheological curve by combining a Bingham model, wherein the slope of a fitting equation is the plastic viscosity.

8. An apparatus for predicting storage stability of emulsified asphalt, comprising:

the characteristic particle size determining module is used for determining the characteristic particle size of the emulsified asphalt;

the plastic viscosity determining module is used for determining the plastic viscosity of the emulsified asphalt;

and the calculation module is used for determining the storage stability of the emulsified asphalt according to the characteristic particle size and the plastic viscosity of the emulsified asphalt.

9. The apparatus of claim 8, wherein the characteristic particle size determination module comprises:

a particle size distribution curve acquisition unit for acquiring a particle size distribution curve of emulsified asphalt;

and the first calculation unit is used for determining the characteristic particle size of the emulsified asphalt according to the particle size distribution curve of the emulsified asphalt.

10. The apparatus of claim 8, wherein the plastic viscosity determination module comprises:

the rheological curve acquiring unit is used for acquiring a rheological curve of the emulsified asphalt;

and the second calculation unit is used for fitting the rheological curve by utilizing a Bingham model to obtain the plastic viscosity of the emulsified asphalt.

Technical Field

The invention relates to the technical field of emulsified asphalt stability prediction, in particular to a method and a device for predicting the storage stability of emulsified asphalt.

Background

The emulsified asphalt is a material widely used in the newly-built, preventive maintenance and regeneration engineering of asphalt pavement, and comprises the calculation of newly-built pavement bonding transition layers such as a bonding layer and a permeable layer, the preventive technology of the emulsified asphalt such as a slurry seal, a micro-surfacing and sand-containing fog seal and the cold regeneration/cold mixing mixture technology of the emulsified asphalt. The quality of the emulsified asphalt greatly affects the application level of the pavement materials, so how to ensure the quality of the emulsified asphalt is the key to the building quality of the pavement materials.

The density difference exists between asphalt particles and water in the emulsified asphalt, and the phenomenon of uneven distribution of upper and lower layers of the asphalt particles can occur due to the action of gravity sedimentation in the processes of storage and transportation, so that the accurate measurement of effective asphalt and the construction quality of the emulsified asphalt pavement material are influenced. Therefore, the storage stability of the emulsified asphalt is an important technical property of the emulsified asphalt. In fact, the unqualified storage stability is also the most common problem in the application process of the emulsified asphalt, and the application quality of the emulsified asphalt on roads is seriously affected. However, the experimental method for the storage stability of the emulsified asphalt in the current specification requires a long time, and experimental errors caused by human factors in the test process are large, so that the method is difficult to be used for quality evaluation of the storage stability of the emulsified asphalt on a large scale in engineering application, and further the quality of the emulsified asphalt cannot be effectively controlled.

Disclosure of Invention

In order to solve the above problems in the prior art, the present invention provides a method and an apparatus for predicting storage stability of emulsified asphalt, so as to quickly evaluate the storage stability of emulsified asphalt.

Therefore, the invention provides the following technical scheme:

a method for predicting storage stability of emulsified asphalt, the method comprising:

determining the characteristic particle size and plastic viscosity of the emulsified asphalt;

and determining the storage stability of the emulsified asphalt according to the characteristic particle size and the plastic viscosity of the emulsified asphalt.

Optionally, the determining the characteristic particle size and plastic viscosity of the emulsified asphalt comprises:

obtaining a particle size distribution curve of emulsified asphalt;

and determining the characteristic particle size of the emulsified asphalt according to the particle size distribution curve of the emulsified asphalt.

Optionally, the obtaining of the particle size distribution curve of the emulsified asphalt comprises:

and obtaining a particle size distribution curve of the emulsified asphalt by using a laser particle sizer.

Optionally, the determining the characteristic particle size of the emulsified asphalt according to the particle size distribution curve of the emulsified asphalt comprises:

and determining the corresponding particle size when the cumulative particle size distribution number is a set value by using the particle size distribution curve.

Optionally, the obtaining the plastic viscosity of the emulsified asphalt comprises:

obtaining a rheological curve of the emulsified asphalt;

and fitting the rheological curve by using a Bingham model to obtain the plastic viscosity of the emulsified asphalt.

Optionally, the obtaining a rheological curve of the emulsified asphalt comprises:

and acquiring a rheological curve of the emulsified asphalt by using a rheometer.

Optionally, the fitting the rheological curve by using a bingham model to obtain the plastic viscosity of the emulsified asphalt comprises:

and selecting data in a linear relation between the shear stress and the shear rate by using the obtained rheological curve, and fitting the rheological curve by combining a Bingham model, wherein the slope of a fitting equation is the plastic viscosity.

An emulsified asphalt storage stability prediction apparatus, the apparatus comprising:

the characteristic particle size determining module is used for determining the characteristic particle size of the emulsified asphalt;

the plastic viscosity determining module is used for determining the plastic viscosity of the emulsified asphalt;

and the calculation module is used for determining the storage stability of the emulsified asphalt according to the characteristic particle size and the plastic viscosity of the emulsified asphalt.

Optionally, the characteristic particle size determination module comprises:

a particle size distribution curve acquisition unit for acquiring a particle size distribution curve of emulsified asphalt;

and the first calculation unit is used for determining the characteristic particle size of the emulsified asphalt according to the particle size distribution curve of the emulsified asphalt.

Optionally, the plastic viscosity determination module comprises:

the rheological curve acquiring unit is used for acquiring a rheological curve of the emulsified asphalt;

and the second calculation unit is used for fitting the rheological curve by utilizing a Bingham model to obtain the plastic viscosity of the emulsified asphalt.

According to the method and the device for predicting the storage stability of the emulsified asphalt, provided by the invention, the characteristic particle size and the plastic viscosity of the emulsified asphalt are determined by analyzing the influence factors of the storage stability of the emulsified asphalt, and the storage stability of the emulsified asphalt is determined according to the characteristic particle size and the plastic viscosity of the emulsified asphalt. Therefore, relevant influence factors can be simply and conveniently obtained, and the storage stability of any emulsified asphalt can be rapidly and accurately predicted. The method greatly reduces the test time of the storage stability of the emulsified asphalt, and has important reference significance and guidance value for the detection and rapid test of the storage stability of the emulsified asphalt, and the research and quality control of the emulsified asphalt.

Drawings

In order to more clearly illustrate the embodiments of the present application or technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained by those skilled in the art according to the drawings.

FIG. 1 is a flow chart of the method for predicting storage stability of emulsified asphalt according to the present invention;

FIG. 2 is a schematic diagram of the determination of the characteristic particle size of emulsified asphalt using a particle size distribution curve according to an embodiment of the present invention;

FIG. 3 is a schematic representation of the rheological profile of an emulsified asphalt according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of a fitting result obtained by fitting an emulsified asphalt rheological curve according to an embodiment of the present invention;

FIG. 5 is a block diagram showing a structure of an apparatus for predicting storage stability of emulsified asphalt according to the present invention.

Detailed Description

The present invention will be described in further detail below for the purpose of more clearly and clearly illustrating the technical solutions and objects of the present invention. The specific embodiments described herein are merely illustrative of the invention and do not limit the invention.

The storage stability of the emulsified asphalt reflects the sedimentation effect of asphalt particles in the emulsion under the action of gravity, and the factors playing a key role in the storage stability of the emulsified asphalt are mainly determined by the viscosity of the emulsified asphalt and the particle size of the asphalt particles in consideration of the relatively fixed density difference between the asphalt and water. Based on the characteristic, the embodiment of the invention provides a method and a device for predicting the storage stability of emulsified asphalt, which are used for determining the characteristic particle size and the plastic viscosity of the emulsified asphalt and determining the storage stability of the emulsified asphalt according to the characteristic particle size and the plastic viscosity of the emulsified asphalt.

As shown in fig. 1, it is a flow chart of the method for predicting storage stability of emulsified asphalt of the present invention, comprising the following steps:

step 101, determining the characteristic particle size and plastic viscosity of emulsified asphalt.

Specifically, a particle size distribution curve of the emulsified asphalt can be obtained by using a laser particle sizer, and then the characteristic particle size of the emulsified asphalt is determined according to the particle size distribution curve of the emulsified asphalt.

Similarly, a rheometer may be used to obtain a rheological curve for the emulsified asphalt, and then a Bingham model may be used to fit the rheological curve to obtain the plastic viscosity of the emulsified asphalt.

The process of determining the characteristic particle size of the emulsified asphalt according to the particle size distribution curve of the emulsified asphalt comprises the following steps: the particle size distribution curve is used to determine the corresponding particle size when the cumulative particle size distribution number is a set value, such as 90%, as shown in FIG. 2.

The specific process of obtaining the plastic viscosity of the emulsified asphalt by fitting the rheological curve is as follows:

selecting data in linear relation between shear stress and shear rate by using the obtained rheological curve, combining with Bingham model, and obtaining the formula tau₀+η_pAnd fitting the rheological curve by gamma, wherein the slope of the fitting equation is the plastic viscosity.

The meaning of each parameter in the above formula is as follows:

τ - - -shear stress, obtained by rheometer recording;

gamma- -shear rate, obtained from rheometer recordings;

τ₀-yield stress, obtained by fitting according to a formula;

η_p-plastic viscosity, obtained by fitting according to a formula.

For example, the rheological curve of emulsified asphalt shown in FIG. 3 is subjected to the fitting process described above, and the fitting result is shown in FIG. 4.

And 102, determining the storage stability of the emulsified asphalt according to the characteristic particle size and the plastic viscosity of the emulsified asphalt.

Specifically, the storage stability S of the emulsified asphalt can be calculated according to the following formula:

wherein R is the characteristic particle size of the emulsified asphalt, eta is the viscosity of the emulsified asphalt, and a and b are adjustment coefficients.

The storage stability of the emulsified asphalt calculated as described above was 1 day storage stability. If the storage stability of the emulsified asphalt at other time, such as 10 days, needs to be predicted, the storage stability of the emulsified asphalt at 10 days needs to be measured, and the values and ranges of the adjustment coefficients a and b are fitted according to the same method, so that the storage stability can be predicted.

The characteristic particle diameter R of the emulsified asphalt is the particle diameter with the cumulative particle size distribution number reaching 90 percent, and the unit is mum; the unit of the plastic viscosity eta of the emulsified asphalt is Pa.s, and the testing temperature is 25 ℃.

The value range of the adjustment coefficient a of any emulsified asphalt is 5.67 multiplied by 10 by fitting according to the tested characteristic particle diameter and plastic viscosity and the prediction formula (1) of the storage stability of the emulsified asphalt^-5～8.91×10^-5The median value is 7.29 multiplied by 10^-5(ii) a The value range of the adjustment coefficient b is 0.012-0.240, and the median value is 0.126.

According to the method for predicting the storage stability of the emulsified asphalt, the characteristic particle size and the plastic viscosity of the emulsified asphalt are determined by analyzing the influence factors of the storage stability of the emulsified asphalt, and the storage stability of the emulsified asphalt is determined according to the characteristic particle size and the plastic viscosity of the emulsified asphalt. Therefore, relevant influence factors can be simply and conveniently obtained, and the storage stability of any emulsified asphalt can be rapidly and accurately predicted. The method greatly reduces the test time of the storage stability of the emulsified asphalt, and has important reference significance and guidance value for the detection and rapid test of the storage stability of the emulsified asphalt, and the research and quality control of the emulsified asphalt.

According to the method for predicting the storage stability of the emulsified asphalt, provided by the invention, the characteristic particle size R in the particle size distribution of the parameter particles related to the calculation formula of the storage stability of the emulsified asphalt and the plastic viscosity eta of the emulsified asphalt can be quickly measured by a laser particle sizer and a rheometer, and the median and the range of the adjustment coefficients a and b are known values, so that the parameter obtaining process and the calculation process are simple and quick. The calculated median and range values of the storage stability have small deviation from the measured value, so that the method has better reliability and can accurately and quickly predict the storage stability of any emulsified asphalt.

The following further illustrates the process and test results of the test of the emulsified asphalt with different particle size distribution and viscosity by using the scheme of the invention.

The particle size R of which the cumulative particle size distribution number reaches 90% is obtained through testing by a laser particle sizer, the plastic viscosity eta is obtained through testing by a rheometer and fitting by adopting a Bingham model, and the prediction median and the range of the storage stability of the emulsified asphalt are calculated by combining with a prediction formula of the storage stability S of the emulsified asphalt.

The calculations are illustrated below:

calculating the median value of the adjustment coefficients for the predicted median value of the storage stability, namely a is 7.29 multiplied by 10^-5，b＝0.126；

The lower limit value of the adjustment coefficient is calculated for the lower limit value of the storage stability prediction, that is, a is 5.67 × 10^-5，b＝0.012；

The lower limit value of the adjustment coefficient is calculated for the lower limit value of the storage stability prediction, that is, a is 8.91 × 10^-5，b＝0.240。

For example, the predicted median storage stability value calculated for an emulsified asphalt is 7.29X 10^-5×3.977²0.147 of/0.0553 +0.126, and a lower limit value of stability prediction of 5.67 × 10^-5×3.977²0.028 in terms of/0.0553 +0.012, and a stability prediction upper limit of 8.91 × 10^-5×3.977²And/0.0553 +0.240 is 0.265, and the predicted median value of the storage stability is further calculated to be 0.147%, and the predicted range is 0.028% -0.265%.

In addition, the storage stability of the 15 kinds of emulsified asphalt was actually measured to obtain an actual measurement value of the storage stability of the emulsified asphalt.

The results of the predicted values and the measured values of the storage stability calculated from the characteristic particle diameters and the plastic viscosities of 15 kinds of emulsified asphalt are shown in table 1.

As can be seen from Table 1, the deviation between the predicted median value and the measured value of the storage stability of the emulsified asphalt is small, and the accurate prediction of the storage stability of the emulsified asphalt can be completed. Meanwhile, the measured values of the embodiments with larger individual deviation are also in the storage stability range of the emulsified asphalt, so the prediction range of the storage stability of the emulsified asphalt has extremely high reliability. In addition, the characteristic particle sizes of the emulsified asphalt in group 15 examples varied widely, which indicates that the storage stability prediction method of the present invention can be applied to emulsified asphalt having various particle size distributions.

TABLE 1 measured values and predicted values of characteristic particle diameter, plastic viscosity, and storage stability of emulsified asphalt

Correspondingly, an embodiment of the present invention further provides an apparatus for predicting storage stability of emulsified asphalt, as shown in fig. 5, which is a block diagram of the apparatus.

In this embodiment, the apparatus includes the following modules:

a characteristic particle size determining module 21, configured to determine a characteristic particle size of emulsified asphalt;

a plastic viscosity determination module 22 for determining the plastic viscosity of the emulsified asphalt;

and the prediction module 23 is used for determining the storage stability of the emulsified asphalt according to the characteristic particle size and the plastic viscosity of the emulsified asphalt.

Wherein, the characteristic particle size determining module 21 may include the following units:

a particle size distribution curve acquisition unit for acquiring a particle size distribution curve of emulsified asphalt;

and the first calculation unit is used for determining the characteristic particle size of the emulsified asphalt according to the particle size distribution curve of the emulsified asphalt.

The plastic viscosity determination module 22 may include the following units:

the rheological curve acquiring unit is used for acquiring a rheological curve of the emulsified asphalt;

and the second calculation unit is used for fitting the rheological curve by utilizing a Bingham model to obtain the plastic viscosity of the emulsified asphalt.

The calculating module 23 may specifically calculate the storage stability of the emulsified asphalt according to the above formula (1).

According to the device for predicting the storage stability of the emulsified asphalt, provided by the invention, the characteristic particle size and the plastic viscosity of the emulsified asphalt are determined by analyzing the influence factors of the storage stability of the emulsified asphalt, and the storage stability of the emulsified asphalt is determined according to the characteristic particle size and the plastic viscosity of the emulsified asphalt. Therefore, relevant influence factors can be simply and conveniently obtained, and the storage stability of any emulsified asphalt can be rapidly and accurately predicted. The method greatly reduces the test time of the storage stability of the emulsified asphalt, and has important reference significance and guidance value for the detection and rapid test of the storage stability of the emulsified asphalt, and the research and quality control of the emulsified asphalt.

While certain exemplary embodiments of the present invention have been described above by way of illustration only, it will be apparent to those of ordinary skill in the art that the described embodiments may be modified in various different ways without departing from the spirit and scope of the invention. Accordingly, the drawings and description are illustrative in nature and should not be construed as limiting the scope of the invention.