Asphalt road safety performance test method, device, electronic equipment and storage medium

Abstract

The present application relates to a kind of asphalt road safety performance test method, device, electronic equipment and storage medium, method includes: obtaining the road surface disease data corresponding to target experimental road, according to road surface disease data, calculate the road surface performance index, road surface damage condition index, road surface driving quality index and road surface rut depth index, then determine the flow number, then calculate the corresponding road surface structure strength index, then determine the safety level of target experimental road, finally determine the road maintenance scheme corresponding to safety level. Compared with the technical index in the existing asphalt pavement maintenance evaluation, all are the functional index of road surface, the present application uses 6 indexes such as road surface performance, material performance, structure performance to divide asphalt road safety level, and carries out maintenance planning to preventive maintenance section, carries out maintenance decision reasonably, can effectively carry out the safety performance test of asphalt road.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of road safety, and in particular to a method and device for testing the safety performance of an asphalt road, an electronic device and a storage medium. BACKGROUND

[0002] At present, China has made remarkable achievements in the field of road traffic engineering, among which asphalt pavement accounts for more than 95% in road engineering, and asphalt pavement is the main type of road in China. With the rapid development of road engineering in China, road maintenance problems are accompanied by an increasing number of roads that are about to retire. China invests a large amount of funds, manpower and material resources in road maintenance every year, and it is crucial to reasonably maintain the pavement.

[0003] Over the years, there have been many methods for guiding road maintenance decisions, among which the most widely used is the pavement technical condition index (PQI). In addition, many scholars have expanded and proposed many road maintenance priority judgment methods to guide road maintenance decisions. However, only the order of maintenance is given in the maintenance priority, and no specific maintenance decisions are given, and the influence of pavement material performance and structural performance on the road is also ignored, but the material performance and structural performance of the road play a very important role in road maintenance. SUMMARY

[0004] Therefore, it is necessary to provide a method and device for testing the safety performance of an asphalt road, an electronic device and a storage medium, which can realize the purpose of testing the safety performance of an asphalt road using pavement material performance and structural performance.

[0005] In order to achieve the above purpose, the present application provides the following technical scheme:

[0006] In a first aspect, the present application provides a method for testing the safety performance of an asphalt road, comprising:

[0007] obtaining pavement disease data corresponding to a target experimental road;

[0008] calculating pavement use performance indicators, pavement damage condition indexes, pavement driving quality indexes and pavement rut depth indexes from the pavement disease data;

[0009] obtaining the dynamic modulus of a sample corresponding to the target experimental road, and obtaining the rheological number obtained by repeating the loading test on the sample; obtaining pavement deflection data of the target experimental road, and calculating the pavement structure strength index corresponding to the target experimental road based on the pavement deflection data;

[0010] determine a safety level of the target experimental road based on the road damage condition index, the road driving quality index, the road rut depth index, the dynamic modulus, the rheological times and the road structure strength index;

[0011] match the safety level with a preset level threshold range, and determine a road maintenance scheme corresponding to the safety level based on a matching result of the safety level and the preset level threshold range.

[0012] Further, the samples on the target experimental road are multiple, and the multiple samples are equidistantly distributed.

[0013] Further, the road disease data include the road damage condition index, the road driving quality index and the road rut depth index.

[0014] Further, the road damage condition index is determined based on the following formula:

[0015]

[0016]

[0017] In the formula, DR is a road damage rate, a0 is a first model parameter corresponding to the road damage condition index, a1 is a second model parameter corresponding to the road damage condition index, A is a total area of the road surface of the target experimental road, A i is an area of the i-th damaged road surface of the target experimental road, w i is a weight of the i-th damaged road surface of the target experimental road, and i0 is a total number of damage types corresponding to a damage degree of the target experimental road.

[0018] Further, the road driving quality index is determined based on the following formula:

[0019]

[0020] In the formula, IRI is an international roughness index, a2 is a first model parameter corresponding to the road driving quality index, and a3 is a second model parameter corresponding to the road driving quality index.

[0021] The road rut depth index is determined based on the following formula:

[0022]

[0023] In the formula, RD is a rut depth, RD a is a first rut depth index, and RD bis a second rut depth index, a4 is a corresponding first model parameter in the rut depth index of the road surface, and a5 is a corresponding second model parameter in the rut depth index of the road surface.

[0024] Further, the dynamic modulus is determined based on the following formula:

[0025] E * = E' + iE"

[0026]

[0027] In the formula, E * is a complex modulus of the experimental road sample, MPa, E' is a storage modulus of the experimental road sample, E" is a loss modulus of the experimental road sample, |E * | is a dynamic modulus of the experimental road sample.

[0028] Further, the road surface structure strength index is determined based on the following formula:

[0029]

[0030]

[0031] l0 = 600Ne -0.2 A c A s A b

[0032]

[0033] In the formula, a8 is a corresponding first model parameter in the road surface structure strength index, a9 is a corresponding second model parameter in the road surface structure strength index, SSR is a road surface structure strength coefficient, l is a measured representative deflection of the target experimental road surface, and l o is a design deflection of the target experimental road surface, N e is a cumulative equivalent axle number on one lane in a design period, A c is a highway grade coefficient, A s is a surface layer type coefficient, A b is a base layer type coefficient, N1 is a two-way daily average equivalent axle number in the first year after completion of the road surface, t is a design target period, and γ is an annual average growth rate of traffic volume in the target period.

[0034] In a second aspect, the present application further provides an asphalt road safety performance testing device, which comprises:

[0035] The first obtaining module is configured to obtain pavement disease data corresponding to a target experimental road, and calculate the pavement disease data to obtain a pavement serviceability index, a pavement distress index, a pavement ride quality index, and a pavement rut depth index;

[0036] The second obtaining module is configured to obtain a dynamic modulus corresponding to a sample of the target experimental road, and obtain a number of rheological times obtained by repeated loading tests on the sample;

[0037] The third obtaining module is configured to obtain pavement deflection data of the target experimental road, and calculate a pavement structure strength index corresponding to the target experimental road based on the pavement deflection data;

[0038] The safety level determining module is configured to determine a safety level of the target experimental road according to the pavement distress index, the pavement ride quality index, the pavement rut depth index, the dynamic modulus, the number of rheological times, and the pavement structure strength index;

[0039] The matching module is configured to match the safety level with a preset level threshold range, and determine a road maintenance scheme corresponding to the safety level based on a matching result of the safety level and the preset level threshold range.

[0040] In a third aspect, the present application further provides an electronic device configured to execute the program stored in the memory to implement the steps of the asphalt road safety performance detection method in any one of the above-mentioned implementation manners.

[0041] In a fourth aspect, the present application further provides a non-transitory computer readable storage medium configured to store a computer program, and capable of implementing the steps of the asphalt road safety performance detection method in any one of the above-mentioned implementation manners.

[0042] The present application provides an asphalt road safety performance detection method, device, electronic device, and storage medium. The target experimental road corresponding pavement disease data is obtained, the pavement serviceability index is calculated, the dynamic modulus corresponding to the sample of the target experimental road is obtained, and the number of rheological times corresponding to the repeated loading tests is obtained. The corresponding pavement structure strength index is calculated through the pavement deflection data of the target experimental road. The target experimental road pavement is divided into safety levels through the above six indexes, and the preventive maintenance section is planned and maintained, and the maintenance decision is made reasonably. Compared with the existing asphalt road safety evaluation and road maintenance method, the present application divides the road into safety levels by considering the pavement material performance and structure performance, which is more scientific and comprehensive for guiding the pavement maintenance decision. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor.

[0044] Figure 1 The method flow chart of an embodiment of the asphalt road safety performance detection method provided by the present application;

[0045] Figure 2 The computer-aided method flow chart of an embodiment of the asphalt road safety performance detection method provided by the present application;

[0046] Figure 3 The structural schematic diagram of an embodiment of the device provided by the present application;

[0047] Figure 4 The structural schematic diagram of an embodiment of the electronic device provided by the present application. DETAILED DESCRIPTION

[0048] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0049] In the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified.

[0050] In the embodiments of the present application, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, device, product or equipment comprising a series of steps or modules does not have to be limited to those steps or modules clearly listed, but can include other steps or modules not clearly listed or inherent to these processes, methods, products or equipment.

[0051] The naming or numbering of steps appearing in the embodiments of the present application does not mean that the steps in the method flow must be executed in the time / logical order indicated by the naming or numbering. The flow steps that have been named or numbered can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0052] Reference to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase "in an embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another. It is expressly understood that any of the embodiments described herein can be incorporated into any other embodiment.

[0053] The application provides a bituminous road safety performance test method, device, electronic equipment and storage medium, which are described below.

[0054] In combination Figure 1 As shown in the drawings, the application provides one specific embodiment, which discloses a bituminous road safety performance test method, comprising:

[0055] S110, acquiring road disease data corresponding to a target experimental road;

[0056] S120, calculating road use performance indexes, road damage condition indexes, road driving quality indexes and road rut depth indexes according to the road disease data;

[0057] S130, acquiring dynamic modulus corresponding to a sample of the target experimental road, and acquiring rheological times obtained by repeatedly loading the sample;

[0058] S140, acquiring road surface deflection data of the target experimental road, and calculating road structure strength indexes corresponding to the target experimental road based on the road surface deflection data;

[0059] S150, determining a safety level of the target experimental road based on the road damage condition indexes, the road driving quality indexes, the road rut depth indexes, the dynamic modulus, the rheological times and the road structure strength indexes;

[0060] S160, matching the safety level with a preset level threshold range, and determining a road maintenance scheme corresponding to the safety level based on a matching result of the safety level and the preset level threshold range.

[0061] It can be understood that, compared with the technical indexes in the existing bituminous pavement maintenance evaluation, which are all functional indexes of the road, the application divides the road safety level by using six indexes of road use performance, material performance and structure performance, so that the maintenance decision is more scientific and comprehensive.

[0062] In step S120, the calculation formula of the road damage condition indexes is:

[0063]

[0064]

[0065] wherein DR is the road damage rate, α0 is the corresponding first model parameter in the road damage condition index, α1 is the corresponding second model parameter in the road damage condition index, A is the total area of the target experimental road pavement, A i is the area of the i-th type of damaged road in the target experimental road, w i is the weight of the i-th type of damaged road in the target experimental road, i0 is the total number of damage types corresponding to the damage degree of the target experimental road;

[0066] The calculation formula of the road driving quality index is:

[0067]

[0068] wherein IRI is the international roughness index, α2 is the corresponding first model parameter in the road driving quality index, and α3 is the corresponding second model parameter in the road driving quality index;

[0069] The calculation formula of the road rut depth index is:

[0070]

[0071] wherein RD a is the first rut depth index, RD b is the second rut depth index, α4 is the corresponding first model parameter in the road rut depth index, and α5 is the corresponding second model parameter in the road rut depth index.

[0072] It can be understood that the factors determining the road condition index PCI include one or more of road cracks, subsidence, bulging, potholes, loose peeling, oiling, and repair, RQI is the road driving quality index, and is used to measure the change of road performance caused by traffic flow.

[0073] It should be noted that the samples on the target experimental road are multiple, and the multiple samples are equidistantly distributed with an interval of 1km.

[0074] Wherein, the method for obtaining the target experimental road sample is core drilling sampling, and the number of samples drilled at a time is 2.

[0075] In the embodiment of the present application, the obtained target experimental road sample is subjected to a dynamic modulus test and a repeated loading test indoors.

[0076] The calculation formula of the dynamic modulus is:

[0077] E * = E' + iE"

[0078]

[0079] wherein E * is the complex modulus of the experimental road sample, MPa, E' is the storage modulus of the experimental road sample, and E" is the loss modulus of the experimental road sample; |E * | is the dynamic modulus of the experimental road sample.

[0080] It can be understood that the rheological number of the experimental road sample is calculated by using a two-step secant method according to the repeated loading test result, and the rheological number is obtained by using a two-step secant slope method, which is quoted from a paper by Liu Hanqi, Research on Evaluation Index and Mechanical Model of Asphalt Mixture Permanent Deformation, to calculate the dynamic modulus and rheological number of the target experimental road sample to determine the material performance and structural performance of the target experimental road pavement and to comprehensively evaluate the safety level of the target experimental road pavement to guide road maintenance.

[0081] In step S140, the calculation formula of the pavement structure strength index is:

[0082]

[0083]

[0084] l0= 600 -0. A c A s A b

[0085]

[0086] wherein a8 is the corresponding first model parameter in the pavement structure strength index, a9 is the corresponding second model parameter in the pavement structure strength index, SSR is the pavement structure strength coefficient, l is the measured representative deflection of the target experimental road pavement, l o is the design deflection of the target experimental road pavement, N e is the cumulative equivalent axle number on one lane within the design period, A c is the highway grade coefficient, A s is the surface layer type coefficient, A b is the base layer type coefficient, N1 is the two-way daily average equivalent axle number in the first year after the completion of the pavement, t is the design target period, and y is the annual average growth rate of traffic volume within the target period.

[0087] It can be understood that PSSI represents the pavement structure strength index, and the PSSI is selected to predict the change of the pavement structure strength of the target test road.

[0088] In step S150, the pavement damage condition index, the pavement riding quality index, the pavement rut depth index, the dynamic modulus, the rheological times and the pavement structure strength index obtained in the above steps are used to judge the safety level of the target test road by the following steps:

[0089] S151: The dynamic modulus |E*| is divided into two levels, greater than or equal to 19500 MPa and less than 19500 MPa, and the level of the dynamic modulus |E*| of the target road is judged.

[0090] S152: The pavement structure strength index PSSI is divided into two levels, greater than or equal to 70 and less than 70, and the level of the pavement structure strength index PSSI of the target road is judged.

[0091] S153: The pavement performance index PCI is divided into three levels, greater than or equal to 90, less than 90 and greater than or equal to 85, and less than 85, and the level of the pavement performance index PCI of the target road is judged.

[0092] S154: The pavement riding quality index RQI is divided into three levels, greater than or equal to 90, less than 90 and greater than or equal to 85, and less than 85, and the level of the pavement riding quality index RQI of the target road is judged.

[0093] S155: The pavement rut depth index RDI is divided into three levels, greater than or equal to 90, less than 90 and greater than or equal to 80, and less than 80, and the level of the pavement rut depth index RDI of the target test road is judged.

[0094] It can be understood that the level division standard of the pavement performance index PCI, the pavement riding quality index RQI and the pavement rut depth index RDI of the target test road is determined according to the “Highway Asphalt Pavement Maintenance Technical Specification” (JIG 5142-2019), and whether the material performance of the target test road is in a poor or excessively tired state is judged according to whether the dynamic modulus |E*| is greater than or equal to 19500 MPa.

[0095] In the embodiments of the present application, the scheme of the present application is further described in detail through a specific embodiment:

[0096] Six road sections of A highway are selected to establish an asphalt road safety performance test by the method of the present application. After the execution process of steps S110-S160, the safety level of the target test road is determined as shown in Table 1:

[0097] Table 1

[0098] Pile No. No. FN |E*| PSSI PCI RQI RDI K1061+850 A1 530 13556 68.94 72.65 47.32 93.86 K1226+132 A2 251 14576 76.81 84.67 88.53 90.21 K1041+984 A3 1283 8749 88.76 89.37 84.64 90.67 K1118+200 A4 645 11584 86.73 93.28 94.50 89.35 K1090+400 A5 1523 6584 88.64 100 94.35 88.57 K1114+000 A6 118 5114 93.87 100 96.05 91.87

[0099] In combination Figure 1 And Figure 2 As shown in the embodiment S150, the experimental road pavement grade is obtained based on electronic computer-aided decision, the considered maintenance measures are several maintenance measures most commonly used in the maintenance of the expressway asphalt pavement in the region, Figure 2 The specific decision logic is as follows:

[0100] 1. Determine whether the dynamic modulus |E*| is greater than or equal to 19500 MPa or the PSSI is less than 70, and if so, directly output grade one: overhaul, milling and repaving;

[0101] 2. Determine whether the PCI is less than 85 or the PQI is less than 85 or the RDI is less than 85, and if so, directly output grade two: repair maintenance, additional paving and reinforcement;

[0102] 3. Determine whether the PCI is less than 90 and greater than or equal to 85, and the RQI is greater than or equal to 85 and the RDI is greater than or equal to 80, and if so, directly output grade three: preventive maintenance;

[0103] 4. Determine whether the first three conditions are not met, and if so, directly output grade four: daily maintenance.

[0104] In combination with the embodiment, the grade division of the target experimental road is shown in Table 2:

[0105] Table 2

[0106] No. Pile No. Rank A1 K1061+850 One A2 K1226+132 Two A3 K1041+984 Two A4 K1118+200 Three A5 K1090+400 Three A6 K1114+000 Four

[0107] Further, the safety level is matched with a preset level threshold range, and based on the matching result of the safety level and the preset level threshold range, a road maintenance scheme corresponding to the safety level is determined.

[0108] In combination with the above embodiment, it can be determined whether the target experimental road of grade three (numbered A4, A5) is maintained this year.

[0109] The modified S-curve model is used to predict the PCI decay of the target experimental road in the next 10 years, and the calculation formula is:

[0110]

[0111] Wherein, PCI is a pavement performance prediction index, PCI max is an initial value of pavement performance, and PCI minis the minimum level of pavement performance, t is the pavement service time, a0 is the first prediction model parameter, a0 is 0.00317, a1 is the second prediction model parameter, and a1 is 1.10673;

[0112] Secondly, the area method is used to analyze the pavement performance benefit, that is, the area surrounded by the pavement performance index decay curve and the minimum value of the pavement performance index is used as the pavement performance benefit in the time period. The PCI performance benefit calculation formula is:

[0113]

[0114] wherein t1 represents the maintenance time;

[0115] According to the preventive maintenance time and the pavement performance, the maintenance measure is selected, and the maintenance fund M is determined. According to the maintenance fund and the maintenance benefit, the maintenance benefit ratio R1 is obtained, and the calculation formula is:

[0116]

[0117] Finally, according to the calculated R1, the scheme with the lowest maintenance benefit ratio is selected for preventive maintenance.

[0118] The pavement performance benefit of the target experimental road of the third grade (number A4, A5) is calculated according to the embodiment, as shown in Table 3:

[0119] Table 3

[0120]

[0121] The preventive maintenance measure and cost of the target experimental road of the third grade (number A4, A5) are calculated according to the embodiment, as shown in Table 4:

[0122] Table 4

[0123]

[0124] The maintenance benefit ratio of the target experimental road of the third grade (number A4, A5) is calculated according to the embodiment, as shown in Table 5:

[0125] Table 5

[0126]

[0127] From the above table, it can be seen that the best preventive maintenance opportunity of the road section A4 and the road section A5 is not this year, but next year, so the road section A4 and the road section A5 are not recommended to be prevented from being maintained in this year.

[0128] In order to better implement the asphalt road safety performance detection method in the embodiment of the present application, on the basis of the method, please refer to Figure 3 ,Figure 3 An embodiment structure schematic diagram of an electronic device provided by the present application includes:

[0129] The first acquisition module 301 is configured to acquire the road surface disease data to calculate road surface performance indexes, road surface damage condition indexes, road surface driving quality indexes, and road surface rut depth indexes.

[0130] The second acquisition module 302 is configured to acquire dynamic modulus corresponding to a sample of the target experimental road, and acquire rheological times obtained by repeatedly loading the sample.

[0131] The third acquisition module 303 is configured to acquire road surface deflection data of the target experimental road, and calculate road surface structure strength indexes corresponding to the target experimental road based on the road surface deflection data.

[0132] The safety level determination module 304 is configured to determine a safety level of the target experimental road according to the road surface damage condition indexes, the road surface driving quality indexes, the road surface rut depth indexes, the dynamic modulus, the rheological times, and the road surface structure strength indexes.

[0133] The matching module 305 is configured to match the safety level with a preset level threshold range, and determine a road maintenance scheme corresponding to the safety level based on a matching result of the safety level and the preset level threshold range.

[0134] The asphalt road safety performance detection method and device provided by the above embodiment can implement the technical solutions described in the above method embodiments, and the principles of the implementation of the above modules or units can be referred to the corresponding content in the above asphalt road safety performance detection method embodiment, which will not be described here.

[0135] As shown in Figure 4 The present application also provides an electronic device 400. The electronic device 400 includes a processor 401, a memory 402, and a display 403. Figure 4 Only some components of the electronic device 400 are shown, but it should be understood that all the shown components are not required, and more or less components can be alternatively implemented.

[0136] The memory 402 can be an internal storage unit of the electronic device 400 in some embodiments, such as a hard disk or a memory of the electronic device 400. The memory 402 can also be an external storage device of the electronic device 400 in other embodiments, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc.

[0137] Further, the memory 402 can include both an internal storage unit of the electronic device 400 and an external storage device. The memory 402 is used to store application software installed in the electronic device 400 and various types of data.

[0138] The processor 401 can be a central processing unit (CPU), a microprocessor, or other data processing chip in some embodiments, used to run program codes or process data stored in the memory 402, such as a method for detecting safety performance of an asphalt road in the present application.

[0139] The display 403 can be an LED display, a liquid crystal display, a touch liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, etc. in some embodiments. The display 403 is used to display information of the electronic device 400 and to display a visualized user interface. The components 401-403 of the electronic device 400 communicate with each other through a system bus.

[0140] In some embodiments of the present application, when the processor 401 executes the asphalt road safety performance detection program in the memory 402, the following steps can be implemented:

[0141] Obtain the road disease data corresponding to the target experimental road;

[0142] Calculate the road use performance index, the road damage condition index, the road driving quality index, and the road rut depth index according to the road disease data;

[0143] Obtain the dynamic modulus corresponding to the sample of the target experimental road, and obtain the rheological number obtained by performing a repeated loading test on the sample;

[0144] Obtain the road deflection data of the target experimental road, and calculate the road structure strength index corresponding to the target experimental road based on the road deflection data;

[0145] Determine the safety level of the target experimental road based on the road damage condition index, the road driving quality index, the road rut depth index, the dynamic modulus, the rheological number, and the road structure strength index;

[0146] Match the safety level with the preset level threshold range, and determine the road maintenance scheme corresponding to the safety level based on the matching result of the safety level and the preset level threshold range.

[0147] It should be understood that, in addition to the above functions, the processor 401 can also implement other functions when executing the asphalt road safety performance detection program in the memory 402. For details, refer to the description of the corresponding method embodiments.

[0148] Further, the embodiments of the present application do not make specific limitations on the type of the electronic device 400 mentioned above. The electronic device 400 can be a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, or the like. Exemplary embodiments of the portable electronic device include, but are not limited to, a portable electronic device running an IOS, an android, a microsoft, or other operating system. The portable electronic device described above can also be other portable electronic devices, such as a laptop computer having a touch-sensitive surface (e.g., a touch panel), and the like. It should also be understood that in some other embodiments of the present application, the electronic device 400 can not be a portable electronic device, but a desktop computer having a touch-sensitive surface (e.g., a touch panel).

[0149] In another aspect, the present application also provides a non-transitory computer readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a method for detecting the safety performance of an asphalt road, the method comprising:

[0150] obtaining pavement disease data corresponding to a target experimental road;

[0151] calculating pavement use performance indicators, pavement damage condition indexes, pavement driving quality indexes, and pavement rut depth indexes from the pavement disease data;

[0152] obtaining dynamic modulus corresponding to a sample of the target experimental road, and obtaining a rheological number obtained by repeatedly loading the sample;

[0153] obtaining pavement deflection data of the target experimental road, and calculating a pavement structure strength index corresponding to the target experimental road based on the pavement deflection data;

[0154] determining a safety level of the target experimental road based on the pavement damage condition indexes, the pavement driving quality indexes, the pavement rut depth indexes, the dynamic modulus, the rheological number, and the pavement structure strength index;

[0155] matching the safety level with a preset level threshold range, and determining a road maintenance scheme corresponding to the safety level based on a matching result of the safety level and the preset level threshold range.

[0156] Those skilled in the art can understand that all or part of the processes of the above-mentioned embodiment methods can be completed by instructing the relevant hardware by a computer program, and the program can be stored in a computer readable storage medium. The computer readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory, etc.

[0157] The asphalt road safety performance detection method, the electronic device and the storage medium provided by the application are described in detail above, and the principles and implementation manners of the application are described by applying specific examples. The above description of the embodiments is only used to help understand the method of the application and its core idea. Meanwhile, for those skilled in the art, according to the idea of the application, the specific implementation manners and application ranges will be changed, and the above description of the application should not be understood as a limitation of the application.

Claims

1. A method of testing the safety performance of an asphalt road, characterized in that, The method comprises the following steps: obtaining pavement disease data corresponding to a target experimental road; calculating pavement performance indicators, pavement damage condition indexes, pavement driving quality indexes and pavement rut depth indexes according to the pavement disease data; obtaining dynamic modulus of a sample corresponding to the target experimental road, and obtaining a number of rheological times obtained by a repeated loading test on the sample, wherein the sample on the target experimental road is multiple, and the multiple samples are equidistantly distributed, and the dynamic modulus is determined based on the following formula: wherein: E * is the complex modulus of the experimental road sample, MPa, E ` is the storage modulus of the experimental road sample, is the loss modulus of the experimental road sample; |E * is the dynamic modulus of the experimental road sample; calculating the number of rheological times of the sample according to the repeated loading test results by using a two-step secant method; obtaining pavement deflection data of the target experimental road, and calculating a pavement structure strength index corresponding to the target experimental road based on the pavement deflection data; determining a safety level of the target experimental road based on the pavement damage condition indexes, the pavement driving quality indexes, the pavement rut depth indexes, the dynamic modulus, the number of rheological times and the pavement structure strength index; matching the safety level with a preset level threshold range, determining a road maintenance scheme corresponding to the safety level based on a matching result of the safety level and the preset level threshold range, and the road maintenance scheme comprises preventive maintenance, and the preventive maintenance comprises: predicting a PCI decay of the target experimental road in the next 10 years by using a modified S-curve model, and a calculation formula is as follows: Wherein, PCI is the pavement performance prediction index, PCI max is the initial value of the pavement performance PCI min The minimum level of pavement performance is t, the pavement service time is t, the first prediction model parameter is a0, a0 is 0.00317, the second prediction model parameter is a1, and a1 is 1.10673. taking an area surrounded by a pavement performance index decay curve and a lowest value of the pavement performance index as a pavement performance benefit in a time period, and a PCI performance benefit calculation formula is as follows: wherein t1 represents a maintenance time; selecting a maintenance measure according to a time of the preventive maintenance and a pavement performance, and determining maintenance funds M, obtaining a maintenance benefit ratio R1 according to the maintenance funds and a maintenance benefit, and a calculation formula is as follows: Finally, a scheme with the lowest maintenance benefit ratio is selected for preventive maintenance according to the calculated R1.

2. The method of claim 1, wherein, The pavement disease data comprises the pavement damage condition indexes, the pavement driving quality indexes and the pavement rut depth indexes.

3. The asphalt road safety performance test method according to claim 1, wherein, the pavement damage condition indexes are determined based on the following formula: In the formula, DR is the road damage rate, a0 is a corresponding first model parameter in the road damage condition index, a1 is a corresponding second model parameter in the road damage condition index, A is the total area of the road surface of the target experimental road, A i is the area of the i-th type of damaged road surface in the target experimental road, w i is the weight of the i-th type of damaged road surface in the target experimental road, and i0 is the total number of damage types corresponding to the damage degree of the target experimental road.

4. The asphalt road safety performance test method according to claim 1, wherein, the pavement driving quality indexes are determined based on the following formula: wherein IRI is an international roughness index, α2 is a first model parameter corresponding to the pavement driving quality indexes, and α3 is a second model parameter corresponding to the pavement driving quality indexes; the pavement rut depth indexes are determined based on the following formula: wherein: RD is the rut depth, RD a is a first rut depth index, RD b is a second rut depth index, and α4 is a corresponding first model parameter in the road rut depth indices, and α5 is a corresponding second model parameter in the road rut depth indices.

5. The asphalt road safety performance test method according to claim 1, wherein, the pavement structure strength indexes are determined based on the following formula: PSSI= In the formula, a8 is a corresponding first model parameter in the road surface structure strength index, a9 is a corresponding second model parameter in the road surface structure strength index, SSR is a road surface structure strength coefficient, l is a measured representative deflection of the target experimental road surface, l o is a designed deflection of the target experimental road surface, N e is a cumulative equivalent axle number on one lane in a design period, A c is a highway grade coefficient, A s is a surface layer type coefficient, A b is a base layer type coefficient, N1 is a two-way daily average equivalent axle number in the first year after completion of the road surface, t is a design target period, and γ is an annual average growth rate of traffic volume in the target period.

6. An asphalt road safety performance testing device, characterized by, The method comprises the following steps: a first obtaining module is configured to obtain pavement disease data corresponding to a target experimental road, and calculate pavement performance indicators, pavement damage condition indexes, pavement driving quality indexes and pavement rut depth indexes from the pavement disease data. A second acquisition module is configured to acquire a dynamic modulus corresponding to a sample of the target test road and to acquire a rheological number obtained by performing a repeated loading test on the sample. The sample on the target test road is multiple, and the multiple samples are distributed at equal intervals. The dynamic modulus is determined based on the following formula: wherein: E * is the complex modulus of the experimental road sample, MPa, E ` is the storage modulus of the experimental road sample, is the loss modulus of the experimental road sample; |E * is the dynamic modulus of the experimental road sample; The rheological number of the sample of the test road is calculated by using a two-step secant method according to the repeated loading test result; A third acquisition module is configured to acquire pavement deflection data of the target test road, and to calculate a pavement structure strength index corresponding to the target test road based on the pavement deflection data; A safety level determination module is configured to determine a safety level of the target test road according to the pavement damage condition index, the pavement driving quality index, the pavement rutting depth index, the dynamic modulus, the rheological number, and the pavement structure strength index; A matching module is configured to match the safety level with a preset level threshold range, to determine a road maintenance scheme corresponding to the safety level based on a matching result of the safety level and the preset level threshold range, and to determine that the road maintenance scheme includes preventive maintenance. The preventive maintenance includes using a modified S-curve model to predict a PCI decay of the target test road in the next 10 years, and a calculation formula is as follows: Wherein, PCI is the pavement performance prediction index, PCI max is the initial value of the pavement performance PCI min is the minimum level of pavement performance, t is the pavement service time, a0 is the first prediction model parameter, a0 is 0.00317, and a1 is the second prediction model parameter, a1 is 1.10673. An area surrounded by a pavement performance index decay curve and a lowest value of a pavement performance index is used as a pavement performance benefit in a time period. A PCI performance benefit calculation formula is as follows: Wherein, t1 represents a maintenance time. A maintenance measure is selected according to a time of the preventive maintenance and pavement use performance, and a maintenance fund M is determined. A maintenance benefit ratio R1 is obtained according to the maintenance fund and the maintenance benefit, and a calculation formula is as follows: Finally, a scheme with the lowest maintenance benefit ratio R1 is selected for preventive maintenance according to the calculated R1.

7. An electronic device, comprising: The computer device comprises a memory and a processor. The memory is configured to store a program. The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the steps of the asphalt road safety performance detection method in any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the asphalt road safety performance detection method in any one of claims 1 to 5.

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