Road surface load analysis method, electronic equipment and medium

Abstract

The invention provides a road surface load analysis method, electronic equipment and a medium. The load analysis method comprises the following steps: determining transport vehicles of various cargoes according to cargo types, calculating representative axle loads of various axle types of the various transport vehicles, and determining designed axle loads; calculating the cumulative action times of the 100KN single-axis design axle load at the critical load position within the designed service life of the pavement; the design axle load is calculated and determined by combining different transport vehicle types, transport vehicle total weights, axle load coefficients, various axle types and the like, the conditions of main vehicles passing through the road surface can be actually reflected, the accuracy of road surface load calculation is high, and a more accurate design basis can be provided for road surface design. According to load analysis, the double-index traffic load grade grading range of the double-shaft design axle load and the 100KN single-shaft design axle load determined through calculation is established, and the problem that the road surface design error is large due to excessive axle load conversion caused by serious overload of the transport vehicle can be avoided.

Description

Technical Field

[0001] The invention belongs to the technical field of hydropower and water conservancy engineering, and in particular relates to a road load analysis method, electronic equipment and a medium. Background Art

[0002] At present, the main form of pavement structure of roads in hydropower and water conservancy project hubs (including on-site traffic roads and special highways for external traffic) is cement concrete pavement. However, the traffic load analysis and traffic grade classification of the corresponding pavement structure design directly apply the outdated "Design Specifications for Factory and Mine Roads" (GBJ 22-87) or "Design Specifications for Highway Cement Concrete Pavements" (JTGD40-2011), without fully considering the special environmental conditions and road load conditions of roads in hydropower and water conservancy hubs.

[0003] At present, hydropower projects often use heavy-duty dump trucks of Class 40, Class 60, Class 80, Class 110 or even heavier single-axle weights. The single-axle weight has long exceeded the upper limit of the design load selected in the "Design Code for Factory and Mine Roads" (GBJ 22-87). There is no clear indication of the choice of design load for axle loads exceeding the upper limit of the code; and the occasional passing of large axle-load vehicles will directly affect the choice of design load. Using the maximum axle load as the design axle load cannot actually reflect the mainstream vehicles passing through the road.

[0004] There are many types of vehicles traveling on my country's roads, which can be divided into 11 categories. The types of vehicles traveling on hydropower and water conservancy project roads are mainly double rear axle dump trucks, rear three-axle and rear five-axle trucks and trailers, and overloading is common and serious. If the 100kN single-axle double-wheel design axle load in the "Highway Cement Concrete Pavement Design Code" is used, the number of axle load actions will be over-converted, which will lead to the pavement structure being too thick and the economy will be poor. In addition, the traffic volume on hydropower and water conservancy project roads lacks regularity, and the cumulative number of design axle load actions and traffic load levels within the design reference period are difficult to determine according to the "Highway Cement Concrete Pavement Design Code".

[0005] Patent application CN116561877A discloses a design calculation method for cement concrete pavement of on-site roads. The number of vehicle transportations is calculated by the total amount of road transportation and vehicle load, and the maximum axle load of the transport vehicle that accounts for the majority of the transport vehicle types is selected as the design axle load, and a calculation formula for the cumulative number of times the design axle load acts is proposed. This method only proposes to use the maximum axle load of the transport vehicle that accounts for the majority of the design axle load, without considering the influence of vehicle type, various axle types, etc. The use of the maximum axle load of the transport vehicle that accounts for the majority of the design axle load as the design axle load results in low accuracy in the calculation of pavement load after the pavement structure thickness is exceeded. In addition, more and more hub area roads also have the function of local highways, and this method does not consider the influence of social vehicles. Summary of the invention

[0006] The purpose of the present invention is to provide a road load analysis method, electronic equipment and medium to improve the accuracy of road load calculation and provide a more accurate design basis for road design in view of the shortcomings of the existing technology.

[0007] In order to achieve the above object, the technical solution adopted by the present invention is:

[0008] A road load analysis method includes the following steps:

[0009] S1: Obtain the types of goods that need to be transported on the road and the total transportation volume of various goods, and determine the transportation vehicles for various goods according to the types of goods;

[0010] S2: Calculate the representative axle load P of various axle types of various transport vehicles i,k , the representative axle load P of the k-type axle of the i-th transport vehicle i,k The expression is as follows:

[0011]

[0012]

[0013] S3: Calculate the design axle load P of the two-axle according to the representative axle loads of various axle types of various transport vehicles s , double-axle design load P s The expression is as follows:

[0014]

[0015] Calculate the cumulative number of actions of the 100KN single-axis design axle load at the critical load position within the design service life of the pavement. The cumulative number of actions of the 100KN single-axis design axle load N e The expression is as follows:

[0016] N e =f e η e N s +N 100

[0017]

[0018] S4: Design the axle load P according to the two axes s And the cumulative number of actions of 100KN single-axis design load N e Determine the traffic load level, and select the higher traffic load level as the traffic load level of the road surface;

[0019] in, is the average load of the i-th transport vehicle; q i is the deadweight of the i-th transport vehicle, ζ i.kis the axle load coefficient of the k-type axle of the i-th transport vehicle, k is the axle type, k=1 is a single rear axle, k=2 is a double rear axle, k=3 is a rear three-axle; η is the axle load unevenness correction coefficient, k2 is the second guarantee rate coefficient; is the average axle load of the k-type axle of the i-th transport vehicle; f e is the lane coefficient, η e is the lateral distribution coefficient of the vehicle wheel track, m is the number of types of transport vehicles, n is i is the number of transports by the i-th transport vehicle, N 100 The number of times the social traffic on the road that also serves as a local highway is converted into the design lane to withstand the 100KN single-axle double-wheel design axle load.

[0020] The present invention calculates and determines the design axle load by combining different transport vehicle types, gross weight of transport vehicles, axle load coefficients, various axle types, etc., which can actually reflect the main vehicle conditions on the road surface. The road load calculation has high accuracy and can provide a more accurate design basis for road surface design. Based on load analysis, the present invention establishes a dual-index traffic load grade classification range of a calculated and determined dual-axle design axle load and a 100KN single-axle design axle load, which can avoid the problem of large road surface design errors caused by excessive axle load conversion due to serious overloading of transport vehicles.

[0021] Furthermore, the types of transport vehicles include double rear axle dump trucks, concrete mixer trucks, cement tank trucks, fly ash tank trucks, fuel tank trucks, and rear five-axle tailgate trailers.

[0022] Furthermore, if the axle load spectrum of the transport vehicle is known, the representative axle load P of the kth axle type of the i-th transport vehicle is i,k Calculated by the following formula:

[0023]

[0024] in, It is the 70% percentile value of the axle load of the k-type axle of the ith vehicle.

[0025] Furthermore, if the standard deviation of the axle loads of various axle types of transport vehicles is known, the representative axle load P of the kth axle type of the i-th transport vehicle is i,k Calculated by the following formula:

[0026]

[0027] Among them, S i.k is the standard deviation of the axle load of the kth axle type of the ith vehicle, and k1 is the first guarantee rate coefficient.

[0028] Based on the same inventive concept, the present invention also provides an electronic device, including:

[0029] one or more processors;

[0030] A memory having one or more programs stored therein, which, when executed by the one or more processors, enables the one or more processors to implement the steps of the road load analysis method.

[0031] Based on the same inventive concept, the present invention further provides a computer-readable storage medium storing a computer program, which implements the steps of the road load analysis method when executed by a processor.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present invention calculates and determines the design axle load by combining different transport vehicle types, gross weight of transport vehicles, axle load coefficients, various axle types, etc., which can actually reflect the main vehicle conditions passing through the road. The road load calculation has high accuracy and can provide a more accurate design basis for road design.

[0034] The present invention establishes a dual-index traffic load grade classification range of a calculated double-axle design axle load and a 100KN single-axle design axle load based on load analysis, which can avoid the problem of large pavement design errors caused by excessive axle load conversion due to serious overloading of transport vehicles.

[0035] The present invention is aimed at hub area roads that also have the function of local highways, and takes into account the impact of power station traffic and social traffic. It has a wider scope of application and is more in line with actual engineering needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic flow chart of the road load analysis method of the present invention;

[0037] Figure 2 It is a schematic diagram of the double rear axle structure;

[0038] Figure 3 It is a schematic diagram of the rear three-axle structure;

[0039] Figure 4 This is a schematic diagram of the rear five-axis structure. DETAILED DESCRIPTION

[0040] The present invention will be described in detail below in conjunction with the embodiments. It should be noted that the embodiments and features of the embodiments of the present invention can be combined with each other without conflict. For the convenience of description, if the words "upper", "lower", "left" and "right" appear in the following, they only indicate that the upper, lower, left and right directions are consistent with the drawings themselves, and do not limit the structure.

[0041] Example 1

[0042] like Figure 1The traffic load analysis steps for the road pavement structure design in the hydropower and water conservancy project hub area of ​​this embodiment are as follows:

[0043] (1) Investigate the types of goods that need to be transported on hydropower and water conservancy project roads and the total transport volume of various goods Q Gi , determine the corresponding transport vehicles and their weight q for various goods i .

[0044] (2) Determine the rated load or average load of various transport vehicles Calculate the number of transports by various transport vehicles

[0045] (3) Based on the gross weight of the transport vehicle and the transport vehicle axle load coefficient, calculate the average axle load of the i-th vehicle k-type axle type (single rear axle k=1, double rear axle k=2, rear three axles k=3) ζ i.k is the axle load coefficient of the kth axle type of the ith transport vehicle.

[0046] (4) Determine the representative axle load P of the i-th vehicle type k (single rear axle k = 1, double rear axle k = 2, rear three axles k = 3) i,k .

[0047] (5) Determine the design axle load.

[0048] (6) Calculate the cumulative number of times N the 100KN single-axis design axle load acts at the critical load position within the design service life e .

[0049] If a biaxial design axle load is used, it is not necessary to calculate the cumulative number of actions N of the 100KN uniaxial design axle load at the critical load position within the design service life. e .

[0050] (7)According to the cumulative number of actions N of the 100KN single-axis design load e Or the biaxial design axle load, determine the traffic load level according to Table 1.

[0051] When the road traffic grade determined by the cumulative number of actions of the 100KN single-axle design axle load and the double-axle design axle load is different, the higher-level traffic grade shall be used.

[0052] Table 1 Traffic classification range

[0053]

[0054] Step (1) The main cargo types and corresponding transport vehicles of hydropower and water conservancy projects are determined according to the survey results of road load conditions in hub areas of different types and levels of domestic hydropower and water conservancy projects, as shown in Table 2. The data in brackets in Table 2 are the deadweight data of some seriously overweight vehicles in the survey.

[0055] Table 2 Main cargoes of hydropower and water conservancy projects and corresponding transport vehicles

[0056]

[0057] The tonnage of vehicles transporting other goods is smaller and can be ignored during road design.

[0058] The axle load factor ζ of different vehicle models in step (3) i.k According to the survey results of road load conditions in hub areas of different types and levels of domestic hydropower and water conservancy, it is determined according to Table 3. The overloaded tank trucks in Table 3 refer to bulk cement and fly ash tank trucks with a total weight of 70 to 90 tons and five rear axles. The non-overloaded tank trucks refer to the baffle trailers.

[0059] Table 3 Axle load factor ζ of different vehicle models i.k

[0060]

[0061] The structures of double rear axles (wheelbase 3800+1400mm), rear three-axles (wheelbase 2100+2750+1400mm), and rear five-axles (wheelbase 3450+1350+5600+1400+1400mm) are as follows: Figure 2 , Figure 3 , Figure 4 shown.

[0062] The expression representing the axle load in step (4) is as follows:

[0063]

[0064] Where: is the average axle load of the k-type axle of the i-th vehicle; η is the axle load unevenness correction coefficient; k2 is the second guarantee rate coefficient.

[0065] For vehicles with double rear axles or rear three axles, the axle load unevenness correction coefficient η=1.

[0066] The axle load uneven correction coefficient η of the rear five-axle vehicle is determined according to Table 4 based on the survey results of road load conditions in hub areas of different types and levels of domestic hydropower and water conservancy projects.

[0067] Table 4 Rear five-axle vehicle axle load uneven correction coefficient η

[0068]

[0069] The second guarantee rate coefficient k2 of the representative axle loads of various vehicles is determined according to Table 5 based on the survey results of road load conditions in hub areas of different types and grades of domestic hydropower and water conservancy projects.

[0070] Table 5 Second guarantee rate coefficient k2 of representative axle loads of various vehicles

[0071]

[0072] If the axle load spectrum is known or available for reference, the representative axle load can be calculated as follows:

[0073]

[0074] Where: It is the 70% percentile value of the axle load of the k-type axle of the ith vehicle.

[0075] The axle load spectrum refers to the probability distribution of different axle loads of the vehicle.

[0076] If the average axle load and standard deviation of the k-type axle type of the i-th vehicle are known, the representative axle load can be calculated as follows:

[0077]

[0078] Where: S i.k is the standard deviation of the axle load of the kth axle type of the ith vehicle, and K1 is the first guarantee rate coefficient.

[0079] The first guarantee rate coefficient k1 of the representative axle loads of various vehicles is based on the results of the road load condition investigation. For double rear axle dump trucks, it is 0.5; for rear five-axle tailgate trailers, it is 0.4; and for concrete mixer trucks, cement fly ash tank trucks, and fuel tank trucks, it is 0.

[0080] The design axle load in step (5) is determined as follows:

[0081] (5.1) For on-site roads and external special roads for transporting slag, sand and gravel, the rear double axle is used as the design axle type, and the design axle load is the maximum value of the representative axle load of the double rear axle and the representative axle load of the rear three axles among all vehicle models in step (4), that is, P i.2 is the representative axle load of the double rear axles of the i-th transport vehicle, P i.3 is the representative axle load of the rear three axles of the i-th transport vehicle.

[0082] (5.2) For concrete mixer trucks with three rear axles (1+1+2), cement tank trucks with five rear axles (1+2+3), fly ash tank trucks and fuel tank trucks, the rear double axles can be used as the design axle type for on-site roads and external special roads. The design axle load can be the maximum value of the representative axle load of the double rear axles and 2 / 3 of the representative axle load of the three rear axles among all vehicle types in step (4), that is, The 100kN single-axle double-wheel set load can also be taken as the design axle load.

[0083] (5.3) For other non-heavy-loaded on-site roads and external dedicated highways, a 100kN single-axle double-wheel load should be used as the design axle load.

[0084] The cumulative number of times N that the 100KN uniaxial design axle load acts at the critical load position (middle of the edge of the pavement longitudinal joint) within the design service life of step (6) e The calculation formula is as follows:

[0085] N e =d e η e N s +N 100

[0086]

[0087] Where: N s P is the cumulative number of times the design axle load of the road power station transport vehicle acts within the design service life; i,k is the representative axle load of type i vehicle and type k axle; f e is the lane coefficient, which is 1 for single lane or dual lane and 0.7 for two-way four lane; η e It is the lateral distribution coefficient of the vehicle wheel track. When the width of the one-way lane of the road surface is ≥4m, it is taken as 0.40; when the width of the one-way lane is ≤3.5m, it is taken as 0.70.

[0088] N 100 The social traffic on the road which also serves as a local highway is converted into the number of times the design lane is subjected to the 100kN single-axle double-wheel design axle load according to the "Highway Cement Concrete Pavement Design Code" (JTG D40-2011).

[0089] The method of this embodiment investigates and analyzes the road load conditions of different types and grades of hub roads in domestic hydropower and water conservancy projects, and determines the main vehicle types on the roads in the hydropower and water conservancy hub areas; from the aspects of transport vehicle type, vehicle load type, axle load conversion method, traffic load grade range, etc., a traffic load analysis and classification method suitable for the pavement structure design of roads in the hub areas of hydropower and water conservancy projects is proposed.

[0090] Aiming at the main transport vehicles of hydropower and water conservancy projects, the axle load coefficient is introduced. Combined with the total weight of the transport vehicle, the axle load of various axle types can be quickly calculated. The axle load variation guarantee rate coefficient and axle load unevenness coefficient are introduced, and a representative axle load calculation method for various axle types is established. The calculation method is simple and practical.

[0091] According to the characteristics of the transportation tasks undertaken by the road and the load investigation and analysis, two design axle loads, namely rear double axles and 100kN single axle double wheel groups, and their determination methods were proposed. A dual-index traffic load grade classification range for the double axle design axle load and the 100kN single axle double wheel group design axle load was established. The method is simple and can avoid the problem of large pavement design errors caused by excessive axle load conversion due to serious overloading of transport vehicles on hub area roads.

[0092] In addition, for hub area roads that also serve as local highways, the impact of both power station traffic and social traffic is taken into consideration at the same time, making it more applicable and more in line with the actual needs of the project.

[0093] Example 2

[0094] This embodiment takes a road in a hydropower station as an example for specific calculation, and the specific steps are as follows:

[0095] (1) The main cargo transported by road is crushed stone, slag and concrete mixture. The total transport volume of crushed stone, slag and concrete is Q G1 = 4.0949 million tons, the transport vehicle is a double rear axle dump truck; the total transport volume of concrete mixture is Q G2 =542,800 t, the transport vehicle is a concrete mixer truck.

[0096] (2) Average load of double rear axle dump truck Number of transports Average loading rate of concrete mixer truck Number of transports

[0097] (3) Dual rear axle dump truck vehicle weight q1 = 12.5t, gross vehicle weight Double rear axle total load factor ζ i.k =0.82, average load of double rear axles Concrete mixer truck vehicle weight q2 = 13.4t, vehicle gross weight Single axle load factor ζ in concrete mixer truck i.k =0.31, rear double axle load factor ζ i.k =0.50, average axle load of single axle Average rear axle load

[0098] (4) The uneven correction coefficient of the rear axle of a double rear axle dump truck is η = 1, which represents the second guarantee rate coefficient of the axle load K2 = 1.04, which represents the axle load The single-axle and rear double-axle uneven correction coefficient η in concrete mixer trucks is 1, and the second guarantee rate coefficient K2 representing the axle load is 1, so the single-axle represents the axle load in concrete mixer trucks. Rear double axle represents axle load

[0099] (5) The double shaft is used as the design shaft type and the design shaft load

[0100] (6) According to the traffic classification range table in Table 1, when the axle load index is designed according to the double-axle, the traffic load level is heavy.

[0101] Example 3

[0102] This embodiment takes a hydropower station's external dedicated highway as an example for specific calculation, and the specific steps are as follows:

[0103] (1) The main goods transported by road are steel bars, bagged cement, and bagged fly ash. The total transport volume is Q Gi = 804,500 t, and the transport vehicle is a rear five-axle tailgate trailer.

[0104] (2) Average load of rear five-axle tailgate trailer Number of transports Second-rate.

[0105] (3) Weight of rear five-axle fender trailer q i =14.5t, gross vehicle weight Double axle load factor ζ in rear five-axle tailgate trailer i.k =0.34, rear three-axle load coefficient ζ i.k =0.53, average axle load of the middle double axle Average axle load of rear three axles

[0106] (4) The correction coefficient of unevenness of the middle two axles of the rear five-axle fender trailer is η = 1.14, and the correction coefficient of unevenness of the rear three axles is η = 1.60; the second guarantee rate coefficient K2 of the representative axle load of the rear five-axle fender trailer is K2 = 1.03, and the representative axle load of the middle two axles is K2 = 1.03. The rear three axles represent the axle load

[0107] (5) When the rear double axle is used as the design axle load

[0108] (6) This road is a Class IV highway for external use, with a road width of 6.5m (two lanes in both directions) and a lane coefficient f e =1, vehicle wheel track lateral distribution coefficient η e =0.7, when the design axle load is 100KN single-axle double-wheel set, the cumulative number of times N the 100KN design axle load acts at the critical load position within the design service life e =f e η e N s +N 100 =1×0.7×2341.31+0=16.3892 million times (including million times).

[0109] (7) According to the traffic classification range table in Table 1, when the double-axle design axle load is used as the traffic load classification index, the traffic load grade is medium; when the cumulative number of actions of the 100KN single-axle double-wheel design axle load is used as the traffic load classification index, the traffic load grade is heavy. Therefore, the traffic grade of this road is determined according to heavy traffic.

[0110] Example 4

[0111] This embodiment provides an electronic device, including:

[0112] one or more processors;

[0113] The memory stores one or more programs, and when the one or more programs are executed by one or more processors, the one or more processors implement the steps of the road load analysis method.

[0114] In some implementations, the memory may be a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory.

[0115] In some other implementations, the processor may be a central processing unit (CPU), a digital signal processor (DSP), or other general-purpose processors of various types, which are not limited herein.

[0116] This embodiment provides a computer-readable storage medium storing a computer program, which implements the steps of the road load analysis method when executed by a processor.

[0117] The contents explained in the above embodiments should be understood as these embodiments are only used to more clearly illustrate the present invention, and are not used to limit the scope of the present invention. After reading the present invention, various equivalent forms of modifications to the present invention by those skilled in the art all fall within the scope defined by the claims attached to this application.

Claims

1. A road load analysis method, characterized in that: The process includes: S1: Obtain the types of goods that need to be transported on the road and the total transportation volume of various goods, and determine the transportation vehicles for various goods according to the types of goods; S2: Calculate the representative axle load P of various axle types of various transport vehicles i,k , the representative axle load P of the k-type axle of the i-th transport vehicle i,k The expression is as follows: S3: Calculate the design axle load P of the two-axle according to the representative axle loads of various axle types of various transport vehicles s , double-axle design load P s The expression is as follows: Calculate the cumulative number of actions of the 100KN uniaxial design axle load at the critical load position within the design service life of the pavement. The cumulative number of actions of the 100KN uniaxial design axle load N e The expression is as follows: N e =f e or e N s +N 100 S4: Design the axle load P according to the two axes s And the cumulative number of actions of 100KN single-axis design load N e Determine the traffic load level, and select the higher traffic load level as the traffic load level of the road surface; in, is the average load of the i-th transport vehicle; q i is the deadweight of the i-th transport vehicle, ζ i.k is the axle load coefficient of the k-type axle of the i-th transport vehicle, k is the axle type, k=1 is a single rear axle, k=2 is a double rear axle, k=3 is a rear three-axle; η is the axle load unevenness correction coefficient, k2 is the second guarantee rate coefficient; is the average axle load of the k-type axle of the i-th transport vehicle; f e is the lane coefficient, η e is the lateral distribution coefficient of the vehicle wheel track, m is the number of types of transport vehicles, n is i is the number of transports by the i-th transport vehicle, N 100 The number of times the social traffic on the road that also serves as a local highway is converted into the design lane to withstand the 100KN single-axle double-wheel design axle load.

2. The road load analysis method according to claim 1, characterized in that: The types of transport vehicles include double rear axle dump trucks, concrete mixer trucks, cement tank trucks, fly ash tank trucks, fuel tank trucks, and rear five-axle tailgate trailers.

3. The road load analysis method according to claim 1, characterized in that: If the axle load spectrum of the transport vehicle is known, the representative axle load P of the kth axle type of the i-th transport vehicle is i,k Calculated by the following formula: in, It is the 70% percentile value of the axle load of the k-type axle of the ith vehicle.

4. The road load analysis method according to claim 1, characterized in that: If the standard deviation of the axle loads of various axle types of transport vehicles is known, the representative axle load P of the kth axle type of the i-th transport vehicle is i,k Calculated by the following formula: Among them, S i.k is the standard deviation of the axle load of the kth axle type of the ith vehicle, and k1 is the first guarantee rate coefficient.

5. An electronic device, characterized in that: include: one or more processors; A memory having one or more programs stored thereon, which, when the one or more programs are executed by the one or more processors, enables the one or more processors to implement the steps of the method according to any one of claims 1 to 4.

6. A computer-readable storage medium, characterized in that: The computer program is stored therein, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

Images