Method, device and equipment for predicting strength of modified emulsified asphalt overlay

Abstract

The invention discloses a strength prediction method, device and equipment for a modified emulsified asphalt overlay, which are applied to the field of road strength prediction, and the method comprises the following steps: obtaining corresponding strength prediction models at different temperatures according to strength data and age data of a modified emulsified asphalt test piece at different temperatures; the modified emulsified asphalt test piece and the target modified emulsified asphalt overlay layer have the same material ratio; obtaining a reaction rate equation according to the strength prediction models corresponding to different temperatures, and obtaining a relative reference temperature according to the reaction rate equation; based on a degree-time product equation, obtaining an equivalent age model according to the relative reference temperature and a preset standard temperature; obtaining an equivalent age according to the actual temperature, the actual age and the equivalent age model of the target modified emulsified asphalt overlay; and according to the strength prediction model corresponding to the preset standard temperature and the equivalent age, obtaining predicted strength. According to the method, the detection work amount is reduced, and compared with a traditional strength detection mode, damage to the pavement structure is avoided.

Description

Technical Field

[0001] The invention relates to the field of road strength prediction, and in particular to a method, device and equipment for predicting the strength of a modified emulsified asphalt overlay. Background Art

[0002] At present, the core sampling method is usually used to test the pavement strength. The compressive strength of the permeable concrete pavement is tested by core sampling. However, during the test, it was found that due to the crushing of some aggregates or the loss of bonding strength of the binder during the core sampling process, the compressive strength of the core sample specimens was significantly lower than that of the standard specimens, and the discreteness was relatively large. Core sampling not only causes damage to the pavement, but also makes the testing process time-consuming and laborious. In addition, for the modified emulsified asphalt overlay, due to its thin thickness of only 2 to 4 cm, it is impossible to perform strength tests after core drilling. In view of the above situation, the traditional core sampling strength test method is not applicable to the modified emulsified asphalt overlay.

[0003] Therefore, how to detect the strength of the modified emulsified asphalt overlay is a technical problem that needs to be solved urgently. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a method, device and equipment for predicting the strength of a modified emulsified asphalt overlay layer, which solves the problem that the strength of a modified emulsified asphalt overlay layer is difficult to predict in the prior art.

[0005] In order to solve the above technical problems, the present invention provides a strength prediction method for a modified emulsified asphalt overlay layer, comprising:

[0006] According to the strength data and age data of the modified emulsified asphalt specimen at different temperatures, a corresponding strength prediction model at different temperatures is obtained; the modified emulsified asphalt specimen has the same material ratio as the target modified emulsified asphalt overlay layer;

[0007] Obtaining a reaction rate equation according to the intensity prediction model corresponding to the different temperatures, and obtaining a relative reference temperature according to the reaction rate equation;

[0008] Based on the degree-time product equation, an equivalent age model is obtained according to the relative reference temperature and the preset standard temperature;

[0009] Obtaining an equivalent age according to the actual temperature, actual age and the equivalent age model of the target modified emulsified asphalt overlay layer;

[0010] The predicted strength is obtained according to the strength prediction model corresponding to the preset standard temperature and the equivalent age.

[0011] Optionally, according to the strength data and age data of the modified emulsified asphalt specimens at different temperatures, corresponding strength prediction models at different temperatures are obtained, including:

[0012] The modified emulsified asphalt specimens are placed in thermostatic boxes at different temperatures to obtain strength data and age data at different temperatures; wherein the modified emulsified asphalt specimens are Marshall specimens of modified emulsified asphalt mixtures; and the strength data are splitting strength data;

[0013] According to the strength data and age data at the different temperatures, the corresponding strength prediction models at the different temperatures are obtained.

[0014] Optionally, according to the strength data and age data of the modified emulsified asphalt specimens at different temperatures, corresponding strength prediction models at different temperatures are obtained, including:

[0015] According to the strength data and age data of the modified emulsified asphalt specimen at different temperatures, a corresponding strength-age scatter plot at different temperatures is obtained;

[0016] The Slogistic1 model is used to perform data fitting on the strength-age scatter plots corresponding to the different temperatures to obtain the strength prediction models corresponding to the different temperatures.

[0017] Optionally, obtaining a reaction rate equation according to the intensity prediction model corresponding to the different temperatures, and obtaining a relative reference temperature according to the reaction rate equation, comprises:

[0018] Obtaining each reaction rate constant according to the corresponding intensity prediction model at different temperatures;

[0019] Performing data fitting on the reaction rate constants corresponding to the different temperatures to obtain the reaction rate equation; the reaction rate equation is a univariate linear regression function of temperature and reaction rate;

[0020] The temperature corresponding to when the reaction rate in the reaction rate equation is zero is set as the relative reference temperature.

[0021] Optionally, based on the degree-time product equation, an equivalent age model is obtained according to the relative reference temperature and a preset standard temperature, including:

[0022] Based on the degree-time product equation, an initial equivalent age model is obtained according to the relative reference temperature and the preset standard temperature; the initial equivalent age model is a discrete model;

[0023] The equivalent age model is obtained based on the initial equivalent age model by means of transformation integral; the equivalent age model is an integral model.

[0024] Optionally, before obtaining the equivalent age according to the actual temperature, actual age and the equivalent age model of the target modified emulsified asphalt overlay layer, the method further includes:

[0025] Using a multi-channel temperature inspection instrument to monitor each temperature measuring point of the target modified emulsified asphalt overlay layer in real time, taking the average temperature as the actual temperature of the surface of the target modified emulsified asphalt overlay layer, and recording the actual age corresponding to each actual temperature;

[0026] A time-temperature curve is obtained according to the actual temperature and the actual age.

[0027] Optionally, the temperature measuring points are evenly arranged in the centerline direction and the middle normal line of the target modified emulsified asphalt overlay layer.

[0028] The present invention also provides a strength prediction device for a modified emulsified asphalt overlay layer, comprising:

[0029] A strength prediction model acquisition module is used to obtain corresponding strength prediction models at different temperatures based on strength data and age data of modified emulsified asphalt specimens at different temperatures; the modified emulsified asphalt specimens and the target modified emulsified asphalt overlay layer have the same material ratio;

[0030] A relative reference temperature acquisition module, used to obtain a reaction rate equation according to the corresponding strength prediction model at different temperatures, and to obtain a relative reference temperature according to the reaction rate equation;

[0031] An equivalent age model acquisition module, used for obtaining an equivalent age model according to the relative reference temperature and a preset standard temperature based on a degree-time product equation;

[0032] An equivalent age calculation module, used for obtaining an equivalent age according to the actual temperature, actual age and the equivalent age model of the target modified emulsified asphalt overlay layer;

[0033] The strength prediction module is used to obtain the predicted strength according to the strength prediction model corresponding to the preset standard temperature and the equivalent age.

[0034] The present invention also provides a strength prediction device for a modified emulsified asphalt overlay layer, comprising:

[0035] Memory for storing computer programs;

[0036] A processor is used to implement the steps of the above-mentioned method for predicting the strength of the modified emulsified asphalt overlay layer when executing the computer program.

[0037] The present invention also provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are loaded and executed by a processor, the steps of the strength prediction method of the modified emulsified asphalt overlay layer as described above are implemented.

[0038] It can be seen that the present invention obtains the corresponding strength prediction model at different temperatures according to the strength data and age data of the modified emulsified asphalt specimen at different temperatures; the modified emulsified asphalt specimen has the same material ratio as the target modified emulsified asphalt overlay; the reaction rate equation is obtained according to the corresponding strength prediction model at different temperatures, and the relative reference temperature is obtained according to the reaction rate equation; based on the degree-time product equation, the equivalent age model is obtained according to the relative reference temperature and the preset standard temperature; the equivalent age is obtained according to the actual temperature, actual age and equivalent age model of the target modified emulsified asphalt overlay; the predicted strength is obtained according to the strength prediction model and equivalent age corresponding to the preset standard temperature. The present invention can obtain the strength prediction model and the equivalent age model in the form of indoor tests, and make an accurate prediction of the strength of the actual modified emulsified asphalt overlay based on these two models, which greatly reduces the detection engineering workload, and determines the opening traffic time of the overlay pavement based on the predicted strength. Compared with the traditional strength prediction method, it also avoids damage to the pavement structure, and is a non-destructive and reliable modified emulsified asphalt overlay strength detection method.

[0039] In addition, the present invention also provides a strength prediction device, equipment and storage medium for a modified emulsified asphalt overlay layer, which also have the above-mentioned beneficial effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0041] Figure 1 A flow chart of a strength prediction method for a modified emulsified asphalt overlay provided by an embodiment of the present invention;

[0042] Figure 2 An experimental health diagram of a test piece provided by an embodiment of the present invention;

[0043] Figure 3 An equivalent age-splitting strength curve provided by an embodiment of the present invention;

[0044] Figure 4 A time-temperature curve diagram actually collected provided by an embodiment of the present invention;

[0045] Figure 5 A schematic diagram of a time-temperature curve integration provided by an embodiment of the present invention;

[0046] Figure 6 A flowchart of a strength prediction method for a modified emulsified asphalt overlay provided by an embodiment of the present invention;

[0047] Figure 7 A schematic diagram of the structure of a strength prediction device for a modified emulsified asphalt overlay provided by an embodiment of the present invention;

[0048] Figure 8 A schematic diagram of the structure of a strength prediction device for a modified emulsified asphalt overlay provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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.

[0050] In recent years, my country's road construction network has become increasingly complete, and highway maintenance has gradually become a major focus in transportation construction projects. Under the guidance of the "dual carbon" strategy, in the face of frequent road disease problems, modified emulsified asphalt micro-surfacing maintenance technology with low emissions and high adhesion properties has gradually become popular. However, for this kind of cold-mix asphalt mixture, it often needs to be maintained to have a certain strength, and its strength gradually increases with the increase of maintenance time (ie age). At the same time, in actual road construction, cold-mix cold-paved asphalt pavement does not reach the final strength before it can be opened to traffic. In order to reduce economic losses, it is often necessary to open traffic in advance, and further compact and maintain it under the continuous loading of vehicle loads. Therefore, it is necessary to test the strength development of the overlay layer so that traffic can be opened as soon as possible.

[0051] At present, the core sampling method is usually used to test the pavement strength. For example, the core sampling of permeable concrete pavement is used to test its compressive strength. However, during the test, it was found that the compressive strength of the core sample specimen was significantly lower than that of the standard specimen, and the discreteness was relatively large. This is because the core sampling process will cause some aggregates to break or the bonding strength of the binder to be lost. In addition, core sampling will not only damage the pavement, but also make the testing process time-consuming and laborious. In addition, for the modified emulsified asphalt overlay, due to its thin thickness of only 2~4cm, it is impossible to perform strength tests after core drilling. Therefore, the traditional core sampling strength test method is not applicable to the modified emulsified asphalt overlay.

[0052] Based on the above problems, the present invention provides a strength prediction method for modified emulsified asphalt overlay, which is based on the strength, temperature and other series of data of modified emulsified asphalt overlay at different ages, and performs age conversion according to the actual age and temperature of the modified emulsified asphalt overlay to obtain the equivalent age, and then obtains the predicted strength based on the pre-obtained strength prediction model. For details, please refer to Figure 1 , Figure 1 A flow chart of a strength prediction method for a modified emulsified asphalt overlay provided in an embodiment of the present invention. The method may include:

[0053] S101: According to the strength data and age data of the modified emulsified asphalt specimen at different temperatures, a corresponding strength prediction model at different temperatures is obtained; the material ratio of the modified emulsified asphalt specimen and the target modified emulsified asphalt overlay layer is the same.

[0054] When it is necessary to predict the strength of the target modified emulsified asphalt overlay, a modified emulsified asphalt specimen with the same material ratio can be made according to the material ratio of the target modified emulsified asphalt overlay. The modified emulsified asphalt specimen is placed at different experimental temperatures to obtain strength data and age data at various temperatures, and further obtain a strength prediction model at various temperatures. It should be noted that the prediction object of the present invention can be a modified emulsified asphalt overlay, and of course it can also be other emulsified asphalt overlays.

[0055] Further, for the accuracy of the strength prediction model, the strength prediction model corresponding to different temperatures is obtained according to the strength data and age data of the modified emulsified asphalt specimens at different temperatures, which may include the following steps:

[0056] Step 11: placing the modified emulsified asphalt specimens in thermostatic boxes at different temperatures respectively, and obtaining strength data and age data at different temperatures; wherein the modified emulsified asphalt specimens are Marshall specimens of the modified emulsified asphalt; and the strength data are splitting strength data;

[0057] Step 12: Based on the strength data and age data at different temperatures, obtain the corresponding strength prediction model at different temperatures.

[0058] It should be noted that the strength index can maintain a good reliability, so as to ensure the accuracy of model fitting. Therefore, before strength prediction, a reasonable mechanical strength index should be selected first. Common mechanical strength indicators include Marshall stability, splitting strength and unconfined compressive strength.

[0059] In this embodiment, the modified emulsified asphalt specimens can be subjected to mechanical strength tests at different curing times (1d, 2d, 3d and 7d, d represents the number of days), the curing temperature is 55°C, and the experiment is repeated three times in parallel. The coefficient of variation is calculated to test the reliability of each strength index, and the test results are shown in Table 1. It is found through experiments that the splitting strength has a smaller variability and a stronger reliability. Therefore, the splitting strength (in MPa) is selected as the strength index in this embodiment.

[0060] Table 1 Variability of different intensity indicators

[0061]

[0062] The modified emulsified asphalt specimen in this embodiment is a Marshall specimen, and its size is Ф101.6mm×63.5mm. Specifically, the molding process of the Marshall specimen is formed by a Marshall compactor, the mass of the compactor hammer is 4536g, and the drop height is 457.2mm. Taking into account that the modified emulsified asphalt specimen has poor initial adhesion and low strength, direct demolding after molding will cause the specimen to fall apart. Therefore, it can be placed in a 60°C oven for curing for 2 hours before demolding. After demolding, it needs to be placed in ovens at 25°C, 35°C, 45°C and 55°C for curing. In order to more realistically simulate the discharge of moisture after pavement paving and rolling, the specimen should be placed on its side, and its 15°C splitting strength should be measured every 3 days. The specific curing process of the specimen is as follows. Figure 2 shown.

[0063] This embodiment does not limit the temperature of each thermostat. For example, the experimental temperature can be 25°C, 35°C, 45°C and 55°C, and the temperature in each thermostat is set to 25°C, 35°C, 45°C and 55°C, respectively. In order to provide the accuracy of strength data and age data collection at different temperatures, the experimental termination condition is also set. Specifically, the strength data will increase with the increase of age, and gradually stabilize after increasing to a certain extent. Since the splitting strength test and Marshall specimens themselves have certain errors compared with the actual situation, it is not accurate to use the strength change rate of the two measurements before and after to measure its stability. Therefore, with the help of the concept of repeatability error, the strength of three consecutive adjacent ages is regarded as three parallel tests, and the repeatability error rate is not less than 2% as the termination condition of the test.

[0064] The calculation method of repeatability error is as follows:

[0065] .

[0066] In the above formula, n is the actual number of tests, and in this embodiment, n=3; is the result of each strength test, i=1,2,3; It is the average value of multiple strength tests.

[0067] Finally, the strength data and age data at different temperatures are shown in Table 2.

[0068] Table 2 Splitting strength at different ages

[0069]

[0070] Further, in order to predict the accuracy of the model, the strength prediction model corresponding to different temperatures is obtained according to the strength data and age data of the modified emulsified asphalt specimens at different temperatures, which may include the following steps:

[0071] Step 21: Obtain corresponding strength-age scatter plots at different temperatures based on the strength data and age data of the modified emulsified asphalt specimens at different temperatures;

[0072] Step 22: Use the Slogistic1 model to fit the data of the strength-age scatter plot corresponding to different temperatures to obtain the corresponding strength prediction model at different temperatures.

[0073] According to Table 2 above, it can be understood that the strength data and age data collected at different temperatures are all discrete data. Therefore, when using the data to establish a strength prediction model, data fitting is required. First, a strength-scatter plot at different temperatures can be drawn based on the strength data and age data at different temperatures. Then, fitting models such as hyperbolic model, parabolic model and Slogistic1 model are used to fit the data. The reference formulas of each fitting model are as follows:

[0074] ;

[0075] ;

[0076] .

[0077] is the ultimate strength of emulsified asphalt mixture; is the strength at curing time t, in MPa; t is the curing time; is the time when the strength of the emulsified asphalt mixture is 0, in units of h or d; k is the reaction rate constant, dimensionless; It is the characteristic parameter of the strength curve, indicating the midpoint of the rapid increase period in the middle of the curing period, and its unit is d.

[0078] Taking the strength-age scatter plot at 25°C as an example, the above-mentioned various fitting models were tested and the fitting results in Table 3 were obtained. From the fitting results, the correlation R 2It reaches 0.99, and its ultimate strength is more in line with the actual situation. Therefore, this embodiment selects the Slogistic1 model as the fitting equation.

[0079] Table 3 Fitting results of strength-age data

[0080]

[0081] Based on this, the Slogistic1 model can be used to fit the data of the strength-age scatter plot at each temperature, so as to obtain the strength prediction model at each temperature. Taking 25℃ as an example, the corresponding strength prediction model formula is as follows:

[0082] ;

[0083] In the above formula, It indicates the predicted intensity corresponding to 25℃; Indicates maintenance time.

[0084] Considering that there are many types of modified emulsified asphalt materials with different properties, the appropriate fitting models will also be different. Therefore, specific analysis can be made on various specific materials to select appropriate fitting models.

[0085] S102: Obtain a reaction rate equation according to the corresponding strength prediction model at different temperatures, and obtain a relative reference temperature according to the reaction rate equation.

[0086] Specifically, the reaction rate constant k can be obtained from the strength prediction model. In this way, a reaction rate equation can be obtained based on each temperature and each corresponding reaction rate constant. The equation is a relationship between temperature and reaction speed, and the relative reference temperature is further obtained based on the equation. It should be noted that the relative reference temperature in the present embodiment is the temperature corresponding to the reaction rate of 0.

[0087] Further, obtaining a reaction rate equation according to the corresponding strength prediction model at different temperatures, and obtaining a relative reference temperature according to the reaction rate equation may include the following steps:

[0088] Step 31: Obtaining various reaction rate constants according to the corresponding intensity prediction models at different temperatures;

[0089] Step 32: fitting the data of the reaction rate constants corresponding to different temperatures to obtain a reaction rate equation; the reaction rate equation is a univariate linear regression function of temperature and reaction rate;

[0090] Step 33: The temperature corresponding to the zero reaction rate in the reaction rate equation is set as the relative reference temperature.

[0091] Specifically, based on the intensity prediction models at the above-mentioned temperatures, the corresponding reaction rate constants at the various temperatures can be obtained, and specific reference may be made to Table 4.

[0092] Table 4 Reaction rate constants

[0093]

[0094] According to the above curing temperature and reaction rate constant, the reaction rate equation can be constructed, which is a univariate linear regression function of temperature and reaction rate: , that is, the horizontal axis is temperature, the vertical axis is reaction rate, where A and B are coefficients. The reaction rate equation obtained by fitting is:

[0095] k=0.0061t-1.5742;

[0096] When k=0, the relative reference temperature is solved to be 258.1 K (Kelvin), corresponding to -15°C.

[0097] S103: Based on the degree-time product equation, an equivalent age model is obtained according to the relative reference temperature and the preset standard temperature.

[0098] This embodiment does not limit the preset standard temperature. It is understandable that, for convenience, the preset standard temperature should be a temperature selected from various experimental temperatures. For example, in this embodiment, the preset standard temperature can be set to 25°C. It should be noted that the degree-time product equation is a mathematical model used to describe the relationship between strength growth and the product of temperature and time. This embodiment calculates the equivalent age model based on the degree-time product equation, the selected preset standard temperature and the relative reference temperature. Among them, the degree-time product equation is expressed as:

[0099] ;

[0100] In the above formula, T r is the preset standard temperature, in °C; T0 is the relative reference temperature, in °C; t e is the equivalent age, in h (hours) or d (days).

[0101] For example, the relative reference temperature -15°C and the preset standard temperature 25°C calculated above are substituted into the degree-time product model to obtain the equivalent age model corresponding to the preset standard temperature of 25°C. The formula is as follows:

[0102] .

[0103] According to the above process, the equivalent age at other curing temperatures can be calculated. , as shown in Table 5.

[0104] Table 5 Equivalent age table based on degree-time product equation

[0105]

[0106] Plot the equivalent age and the corresponding strength, such as Figure 3 As shown. Figure 3 It can be observed that the strength values ​​at different equivalent ages are distributed in a band along the 25°C strength fitting curve, and there are no large discrete points. This shows that when the ages at different curing temperatures are converted to the equivalent ages corresponding to the preset standard temperature of 25°C, the strength growth trend is highly consistent, which illustrates the feasibility of the degree-time product model to predict the strength of modified emulsified asphalt mixture.

[0107] Further, for more convenient practical application, the equivalent age model is obtained based on the degree-time product equation according to the relative reference temperature and the preset standard temperature, which may include the following steps:

[0108] Step 41: Based on the degree-time product equation, an initial equivalent age model is obtained according to the relative reference temperature and the preset standard temperature; the initial equivalent age model is a discrete model;

[0109] Step 42: Using a transformation integral method, an equivalent age model is obtained based on the initial equivalent age model; the equivalent age model is an integral model.

[0110] Specifically, considering that the temperature of the modified emulsified asphalt overlay changes in real time under actual maintenance conditions, the equivalent age model needs to be adjusted and presented in an integral form. For example, the initial equivalent age model corresponding to 25°C is , using the change integral method, the equivalent age model corresponding to 25℃ is obtained, the formula is:

[0111] .

[0112] In this formula, Indicates that the actual time-temperature curve is integrated to calculate the equivalent age corresponding to the actual age, such as Figure 5 shown.

[0113] S104: Obtaining an equivalent age according to the actual temperature, actual age and equivalent age model of the target modified emulsified asphalt overlay layer.

[0114] The actual temperature and actual age of the target modified emulsified asphalt overlay layer are acquired, and the equivalent age model is used to transform the actual temperature and actual age to obtain the corresponding equivalent age. This embodiment does not limit the specific method of acquiring the actual temperature and actual age.

[0115] Furthermore, for the accuracy of actual data acquisition, before obtaining the equivalent age model based on the degree-time product equation according to the relative reference temperature and the preset standard temperature, the following steps may be further included:

[0116] Step 51: Use a multi-channel temperature inspection instrument to monitor each temperature measuring point of the target modified emulsified asphalt overlay layer in real time, take the average temperature as the actual temperature of the surface of the target modified emulsified asphalt overlay layer, and record the actual age corresponding to each actual temperature;

[0117] Step 52: Obtain a time-temperature curve diagram according to the actual temperature and the actual age.

[0118] In this embodiment, after the temperature measurement points are arranged, the temperature measurement points of the target modified emulsified asphalt overlay layer are monitored in real time by a multi-channel temperature inspection instrument, the temperature is collected, and the time is recorded. The average temperature is taken to draw a time-temperature curve, with the horizontal axis being the curing time and the vertical axis being the overlay layer temperature. Figure 4 shown.

[0119] Furthermore, in order to reduce costs while obtaining the actual data accurately, the following steps may be included before using a multi-channel temperature inspection instrument to perform real-time monitoring on each temperature measuring point of the target modified emulsified asphalt overlay layer:

[0120] Temperature measuring points are evenly arranged in the centerline direction and middle normal position of the target modified emulsified asphalt overlay layer.

[0121] Specifically, when the modified emulsified asphalt mixture of the additional layer is paved, the temperature measurement points can be arranged. The location where the thermocouple is inserted is the temperature measurement point. Specifically, the thermocouple should be inserted quickly, and the insertion should not be too deep, about 2 / 3 of the paving thickness. Thermocouples should be evenly arranged, that is, the thermocouples should be evenly arranged in the direction of the center line of the road. The number can be 8, and the spacing can be 2m. At the same time, 4 thermocouples can be evenly arranged along the normal position of the middle section, and the spacing depends on the width of the road.

[0122] S105: Obtain predicted strength according to the strength prediction model and equivalent age corresponding to the preset standard temperature.

[0123] According to the preset standard temperature, the corresponding strength prediction model is selected, and the equivalent age is substituted into the strength prediction model to obtain the predicted strength. For example, the equivalent age of 3d, 7d, and 14d under actual curing conditions can be calculated and substituted into the strength prediction model under 25°C, and finally the predicted strength at the corresponding age is obtained, as shown in Table 6.

[0124] The strength prediction method of the modified emulsified asphalt overlay provided by the embodiment of the present invention is applied. According to the strength data and age data of the modified emulsified asphalt specimen at different temperatures, the corresponding strength prediction model at different temperatures is obtained; the modified emulsified asphalt specimen has the same material ratio as the target modified emulsified asphalt overlay; the reaction rate equation is obtained according to the corresponding strength prediction model at different temperatures, and the relative reference temperature is obtained according to the reaction rate equation; based on the degree-time product equation, the equivalent age model is obtained according to the relative reference temperature and the preset standard temperature; the equivalent age is obtained according to the actual temperature, actual age and equivalent age model of the target modified emulsified asphalt overlay; the predicted strength is obtained according to the strength prediction model and equivalent age corresponding to the preset standard temperature. This method can obtain the strength prediction model and the equivalent age model in the form of indoor tests, and make an accurate prediction of the strength of the actual modified emulsified asphalt overlay based on these two models, which greatly reduces the detection engineering workload, and determines the opening traffic time of the overlay pavement based on the predicted strength. Compared with the traditional strength prediction method, it also avoids damage to the pavement structure. It is a non-destructive and reliable modified emulsified asphalt overlay strength detection method.

[0125] In order to make the present invention easier to understand, please refer to Figure 6 , Figure 6 A flow chart of a strength prediction method for a modified emulsified asphalt overlay provided by an embodiment of the present invention may specifically include:

[0126] Temperature sensors are installed on the modified emulsified asphalt overlay layer, and the temperature sensors are used to collect the real-time temperature and the corresponding curing time to obtain a time-temperature curve. According to the material ratio of the modified emulsified asphalt overlay layer, the same-ratio mixture specimens are formed, and the specimens are cured in different constant temperature boxes. The splitting strength data and age data at various temperatures are recorded to obtain the strength prediction model at various temperatures. The reaction rate constant corresponding to each temperature is obtained from the strength prediction model at each temperature, and the reaction rate equation is constructed. The relative reference temperature is obtained based on the reaction rate equation. The equivalent age model is calculated based on the relative reference temperature, the degree-time product equation and the selected preset standard temperature, and the equivalent age is converted according to the time-temperature curve and the equivalent age model. Substitute the equivalent age into the strength prediction model corresponding to the preset standard temperature, calculate the predicted strength of the modified emulsified asphalt overlay layer, and further determine whether it can be opened to traffic.

[0127] Furthermore, in order to verify the feasibility of this method, the mixture specimens with the same proportion were formed and cured in a natural curing environment, and their actual strength was measured. After collecting the actual temperature data, the predicted strength at the corresponding equivalent age was calculated, and the strength deviation was further calculated. The calculation formula is as follows:

[0128] ;

[0129] In the above formula, the unit of prediction deviation is %, and the units of measured strength and predicted strength are both MPa.

[0130] The final calculation results are shown in Table 6.

[0131] Table 6 Strength prediction deviation table

[0132]

[0133] As shown in Table 6, the maximum deviation is 8.4%, but it is still within the error range of 10%, which shows that the deviation of the prediction results is within an acceptable range and the method still has good applicability and feasibility in the natural maintenance environment.

[0134] The following is an introduction to the strength prediction device for the modified emulsified asphalt overlay layer provided in an embodiment of the present invention. The strength prediction device for the modified emulsified asphalt overlay layer described below and the strength prediction method for the modified emulsified asphalt overlay layer described above can be referred to each other.

[0135] Please refer to Figure 7 , Figure 7 A schematic structural diagram of a strength prediction device for a modified emulsified asphalt overlay provided by an embodiment of the present invention may include:

[0136] The strength prediction model acquisition module 100 is used to obtain the corresponding strength prediction model at different temperatures according to the strength data and age data of the modified emulsified asphalt specimen at different temperatures; the modified emulsified asphalt specimen and the target modified emulsified asphalt overlay layer have the same material ratio;

[0137] A relative reference temperature acquisition module 200, used to obtain a reaction rate equation according to the corresponding strength prediction model at different temperatures, and to obtain a relative reference temperature according to the reaction rate equation;

[0138] An equivalent age model acquisition module 300 is used to obtain an equivalent age model according to the relative reference temperature and a preset standard temperature based on a degree-time product equation;

[0139] An equivalent age calculation module 400 is used to obtain an equivalent age according to the actual temperature, actual age and equivalent age model of the target modified emulsified asphalt overlay layer;

[0140] The strength prediction module 500 is used to obtain the predicted strength according to the strength prediction model corresponding to the preset standard temperature and the equivalent age.

[0141] Based on the above embodiment, the strength prediction model acquisition module 100 may include:

[0142] The experimental data acquisition unit is used to place the modified emulsified asphalt specimens in thermostatic boxes at different temperatures to obtain strength data and age data at different temperatures; wherein the modified emulsified asphalt specimens are Marshall specimens of modified emulsified asphalt mixtures; and the strength data are splitting strength data;

[0143] The strength prediction model acquisition unit is used to obtain the corresponding strength prediction models at the different temperatures according to the strength data and age data at the different temperatures.

[0144] Based on the above embodiment, the strength prediction model acquisition module 100 may include:

[0145] A strength-age scatter plot acquisition unit, used to obtain corresponding strength-age scatter plots at different temperatures according to the strength data and age data of the modified emulsified asphalt specimen at different temperatures;

[0146] The data fitting unit is used to use the Slogistic1 model to perform data fitting on the strength-age scatter plots corresponding to the different temperatures to obtain the strength prediction models corresponding to the different temperatures.

[0147] Based on the above embodiment, the relative reference temperature acquisition module 200 may include:

[0148] A reaction rate constant acquisition unit, used to obtain each reaction rate constant according to the corresponding intensity prediction model at different temperatures;

[0149] A reaction rate equation acquisition unit, used for performing data fitting on the reaction rate constants corresponding to the different temperatures to obtain the reaction rate equation; the reaction rate equation is a univariate linear regression function of temperature and reaction rate;

[0150] The relative reference temperature acquisition unit is used to set the temperature corresponding to zero reaction rate in the reaction rate equation as the relative reference temperature.

[0151] Based on the above embodiment, the equivalent age model acquisition module 300 may include:

[0152] An initial equivalent age model acquisition unit, used to obtain an initial equivalent age model according to the relative reference temperature and the preset standard temperature; the initial equivalent age model is a discrete model;

[0153] The second equivalent age model acquisition unit is used to obtain the equivalent age model based on the initial equivalent age model by using a transformation integral method; the equivalent age model is an integral model.

[0154] Based on the above embodiment, the strength prediction device for the modified emulsified asphalt overlay layer may further include:

[0155] An actual value acquisition module is used to use a multi-channel temperature inspection instrument to monitor each temperature measuring point of the target modified emulsified asphalt overlay layer in real time, take the average temperature as the actual temperature of the surface of the target modified emulsified asphalt overlay layer, and record the actual age corresponding to each actual temperature;

[0156] A curve graph acquisition module is used to obtain a time-temperature curve graph according to the actual temperature and the actual age.

[0157] Based on the above embodiment, the temperature measuring points are evenly arranged in the center line direction and the middle normal line of the target modified emulsified asphalt overlay layer.

[0158] It should be noted that the order of the modules and units in the above-mentioned strength prediction device for modified emulsified asphalt overlay layer can be changed without affecting the logic.

[0159] The strength prediction device for the modified emulsified asphalt overlay provided by the embodiment of the present invention is applied, and a strength prediction model acquisition module 100 is used to obtain the corresponding strength prediction model at different temperatures according to the strength data and age data of the modified emulsified asphalt specimen at different temperatures; the modified emulsified asphalt specimen and the target modified emulsified asphalt overlay have the same material ratio; a relative reference temperature acquisition module 200 is used to obtain a reaction rate equation according to the corresponding strength prediction model at the different temperatures, and obtain the relative reference temperature according to the reaction rate equation; an equivalent age model acquisition module 300 is used to obtain an equivalent age model according to the relative reference temperature and a preset standard temperature based on the degree-time product equation; an equivalent age calculation module 400 is used to obtain an equivalent age according to the actual temperature, actual age and the equivalent age model of the target modified emulsified asphalt overlay; a strength prediction module 500 is used to obtain a predicted strength according to the strength prediction model corresponding to the preset standard temperature and the equivalent age. This device can obtain a strength prediction model and an equivalent age model through indoor tests, and can make an accurate prediction of the actual strength of the modified emulsified asphalt overlay based on these two models, greatly reducing the amount of testing work, and can determine the opening time of the overlay pavement based on the predicted strength. Compared with traditional strength prediction methods, it also avoids damage to the pavement structure. It is a non-destructive and reliable modified emulsified asphalt overlay strength detection method.

[0160] The following is an introduction to the strength prediction device for the modified emulsified asphalt overlay layer provided in an embodiment of the present invention. The strength prediction device for the modified emulsified asphalt overlay layer described below and the strength prediction method for the modified emulsified asphalt overlay layer described above can be referred to each other.

[0161] Please refer to Figure 8 , Figure 8 A schematic diagram of a strength prediction device for a modified emulsified asphalt overlay provided by an embodiment of the present invention may include:

[0162] A memory 10, used for storing computer programs;

[0163] The processor 20 is used to execute a computer program to implement the above-mentioned strength prediction method of the modified emulsified asphalt overlay layer.

[0164] The memory 10 , the processor 20 , and the communication interface 31 all communicate with each other via the communication bus 32 .

[0165] In the embodiment of the present invention, the memory 10 is used to store one or more programs, and the program may include program code, and the program code includes computer operation instructions. In the embodiment of the present invention, the memory 10 may store programs for implementing the following functions:

[0166] According to the strength data and age data of the modified emulsified asphalt specimens at different temperatures, the corresponding strength prediction models at different temperatures are obtained; the material ratio of the modified emulsified asphalt specimens and the target modified emulsified asphalt overlay is the same;

[0167] The reaction rate equation is obtained according to the corresponding strength prediction model at different temperatures, and the relative base temperature is obtained according to the reaction rate equation;

[0168] Based on the degree-time product equation, the equivalent age model is obtained according to the relative reference temperature and the preset standard temperature;

[0169] According to the actual temperature, actual age and equivalent age model of the target modified emulsified asphalt overlay layer, the equivalent age is obtained;

[0170] The predicted strength is obtained according to the strength prediction model and equivalent age corresponding to the preset standard temperature.

[0171] In a possible implementation, the memory 10 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function, etc.; the data storage area may store data created during use.

[0172] In addition, the memory 10 may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include an NVRAM. The memory stores an operating system and operating instructions, executable modules or data structures, or a subset thereof, or an extended set thereof, wherein the operating instructions may include various operating instructions for implementing various operations. The operating system may include various system programs for implementing various basic tasks and processing hardware-based tasks.

[0173] The processor 20 may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic device, a microprocessor or any conventional processor, etc. The processor 20 may call a program stored in the memory 10 .

[0174] The communication interface 31 may be an interface of a communication module, and is used to connect to other devices or systems.

[0175] Of course, it should be noted that Figure 8 The structure shown does not constitute a limitation on the strength prediction device for the modified emulsified asphalt overlay layer in the embodiment of the present invention. In actual applications, the strength prediction device for the modified emulsified asphalt overlay layer may include: Figure 8 More or fewer components than shown, or combinations of certain components.

[0176] The computer-readable storage medium provided in an embodiment of the present invention is introduced below. The computer-readable storage medium described below and the strength prediction method of the modified emulsified asphalt overlay layer described above can be referenced to each other.

[0177] The present invention also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the above-mentioned method for predicting the strength of the modified emulsified asphalt overlay layer are implemented.

[0178] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0179] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0180] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0181] Finally, it should be noted that, in this article, relationships such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises" or any other variations are intended to cover non-exclusive inclusion, so that a process, method, article or device that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0182] The above is a detailed introduction to the strength prediction method, device, equipment and computer-readable storage medium of a modified emulsified asphalt overlay provided by the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for predicting the strength of a modified emulsified asphalt overlay, characterized in that: include: According to the strength data and age data of the modified emulsified asphalt specimen at different temperatures, a corresponding strength prediction model at different temperatures is obtained; the modified emulsified asphalt specimen has the same material ratio as the target modified emulsified asphalt overlay layer; Obtaining a reaction rate equation according to the intensity prediction model corresponding to the different temperatures, and obtaining a relative reference temperature according to the reaction rate equation; Based on the degree-time product equation, an equivalent age model is obtained according to the relative reference temperature and the preset standard temperature; Obtaining an equivalent age according to the actual temperature, actual age and the equivalent age model of the target modified emulsified asphalt overlay layer; The predicted strength is obtained according to the strength prediction model corresponding to the preset standard temperature and the equivalent age.

2. The strength prediction method of the modified emulsified asphalt overlay according to claim 1, characterized in that: According to the strength data and age data of modified emulsified asphalt specimens at different temperatures, the corresponding strength prediction models at different temperatures are obtained, including: According to the strength data and age data of the modified emulsified asphalt specimen at different temperatures, a corresponding strength-age scatter plot at different temperatures is obtained; The Slogistic1 model is used to perform data fitting on the strength-age scatter plots corresponding to the different temperatures to obtain the strength prediction models corresponding to the different temperatures.

3. The strength prediction method of the modified emulsified asphalt overlay according to claim 1, characterized in that: Obtaining a reaction rate equation according to the corresponding strength prediction model at the different temperatures, and obtaining a relative reference temperature according to the reaction rate equation, including: Obtaining each reaction rate constant according to the corresponding intensity prediction model at different temperatures; Performing data fitting on the reaction rate constants corresponding to the different temperatures to obtain the reaction rate equation; the reaction rate equation is a univariate linear regression function of temperature and reaction rate; The temperature corresponding to when the reaction rate in the reaction rate equation is zero is set as the relative reference temperature.

4. The strength prediction method of the modified emulsified asphalt overlay according to claim 1, characterized in that: Based on the degree-time product equation, an equivalent age model is obtained according to the relative reference temperature and the preset standard temperature, including: Based on the degree-time product equation, an initial equivalent age model is obtained according to the relative reference temperature and the preset standard temperature; the initial equivalent age model is a discrete model; The equivalent age model is obtained based on the initial equivalent age model by means of transformation integral; the equivalent age model is an integral model.

5. The strength prediction method of the modified emulsified asphalt overlay according to claim 1, characterized in that: According to the strength data and age data of modified emulsified asphalt specimens at different temperatures, the corresponding strength prediction models at different temperatures are obtained, including: The modified emulsified asphalt specimens are placed in thermostatic boxes at different temperatures to obtain strength data and age data at different temperatures; wherein the modified emulsified asphalt specimens are Marshall specimens of modified emulsified asphalt mixtures; and the strength data are splitting strength data; According to the strength data and age data at the different temperatures, the corresponding strength prediction models at the different temperatures are obtained.

6. The strength prediction method of the modified emulsified asphalt overlay according to claim 1, characterized in that: Before obtaining the equivalent age according to the actual temperature, actual age and the equivalent age model of the target modified emulsified asphalt overlay layer, the method further includes: Using a multi-channel temperature inspection instrument to monitor each temperature measuring point of the target modified emulsified asphalt overlay layer in real time, taking the average temperature as the actual temperature of the surface of the target modified emulsified asphalt overlay layer, and recording the actual age corresponding to each actual temperature; A time-temperature curve is obtained according to the actual temperature and the actual age.

7. The strength prediction method of the modified emulsified asphalt overlay according to claim 6, characterized in that: The temperature measuring points are evenly arranged in the center line direction and the middle normal line of the target modified emulsified asphalt overlay layer.

8. A strength prediction device for a modified emulsified asphalt overlay layer, characterized in that: include: A strength prediction model acquisition module is used to obtain corresponding strength prediction models at different temperatures based on strength data and age data of modified emulsified asphalt specimens at different temperatures; the modified emulsified asphalt specimens and the target modified emulsified asphalt overlay layer have the same material ratio; A relative reference temperature acquisition module, used to obtain a reaction rate equation according to the corresponding strength prediction model at different temperatures, and to obtain a relative reference temperature according to the reaction rate equation; An equivalent age model acquisition module, used for obtaining an equivalent age model according to the relative reference temperature and a preset standard temperature based on a degree-time product equation; An equivalent age calculation module, used for obtaining an equivalent age according to the actual temperature, actual age and the equivalent age model of the target modified emulsified asphalt overlay layer; The strength prediction module is used to obtain the predicted strength according to the strength prediction model corresponding to the preset standard temperature and the equivalent age.

9. A strength prediction device for a modified emulsified asphalt overlay, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the strength prediction method of the modified emulsified asphalt overlay layer as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are loaded and executed by the processor, the steps of the strength prediction method of the modified emulsified asphalt overlay layer as described in any one of claims 1 to 7 are implemented.

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