A pavement design analysis method based on space-time synchronous coupling of environmental load factors

Abstract

The application relates to a pavement design analysis method based on environment load factor space-time synchronous coupling, which comprises the following steps: inputting road environment data and load data into an environment load factor space-time synchronous coupling analysis model to obtain an analysis result; the model establishment process is as follows: obtaining historical data of a road to obtain a pavement performance attenuation model under the coupling action of an environment and a load; obtaining experimental data of the road to obtain a pavement performance attenuation model under the action of the load; obtaining a pavement performance attenuation model under the action of the environment through difference; establishing a general analysis model based on time synchronization; judging whether the general analysis model converges; establishing an environment characteristic model and a load characteristic model of a research area based on the converged general analysis model; bringing the general analysis model based on time synchronization into the environment characteristic model and the load characteristic model to perform space synchronization, and obtaining the environment load factor space-time synchronous coupling analysis model. Compared with the prior art, the application has the advantages of high accuracy, high reliability, strong universality and the like.

Description

TECHNICAL FIELD

[0001] The present application relates to the road engineering technology, and particularly to a pavement design analysis method based on time-space synchronous coupling of environmental load factors. BACKGROUND

[0002] The pavement is an important part of the road infrastructure, and the two important external factors of the performance evolution analysis of the whole life cycle of the pavement are environmental action and traffic load. Coupling calculation of the comprehensive influence of the two is an important problem generally concerned by researchers in the field of pavement engineering.

[0003] The influence of environmental action on the pavement is a long-term, continuous and changing process. At present, the influence of environmental action is generally calculated implicitly in the form of correction factor or fitting parameter, such as the introduction of parameters considering environmental factors into the pavement performance equation in the AASHTO road design method, and the environmental coefficients suitable for different regions proposed by researchers. Since the environmental action exists throughout the whole life cycle of the pavement, the influence degree of the environmental action is different in different stages of the service of the pavement. Therefore, it is necessary to accurately quantify the influence of the environmental factors on the pavement in different stages. The influence of traffic load on the pavement is a transient, intermittent and repeated process. There are many studies on the pavement performance degradation model under the independent action of traffic load, such as the pavement mechanical response model in the MEPDG design method and the full-scale pavement test loop of RIOHTRACK. The basic cognition of the mechanical response of the pavement under the action of traffic load has been formed. Environmental action and traffic load have their own characteristics and mutual influence. Even if the same traffic load, due to the different environmental actions in different spatial regions, the pavement performance will still be different. In addition, the randomness of environmental action and traffic load in time and space increases the difficulty of coupling calculation of the two, resulting in a large difference between the model calculation results and the measured results.

[0004] In summary, the traditional simplified analysis method for a single factor cannot accurately represent the performance change of the pavement in the actual complex environment. SUMMARY

[0005] The present application relates to the road engineering technology, and particularly to a pavement design analysis method based on time-space synchronous coupling of environmental load factors.

[0006] The object of the present application can be achieved by the following technical solutions:

[0007] A pavement design analysis method based on time-space synchronous coupling of environmental load factors, comprising the following steps:

[0008] Obtaining environmental data and load data of the road, inputting the environmental data and the load data into the environmental load factor space-time synchronous coupling analysis model to obtain an analysis result;

[0009] The establishment process of the environmental load factor space-time synchronous coupling analysis model is as follows:

[0010] S1: obtaining historical data of the road, and obtaining a road surface performance degradation model under the coupling action of the environment and the load according to the historical data;

[0011] S2: obtaining experimental data of the road, and obtaining a road surface performance degradation model under the independent action of the load according to the experimental data;

[0012] S3: obtaining a road surface performance degradation model under the action of the environment by subtracting the road surface performance degradation model under the action of the load from the road surface performance degradation model under the coupling action;

[0013] S4: establishing a general analysis model based on time synchronization by time synchronizing the road surface performance degradation model under the independent action of the load and the road surface performance degradation model under the action of the environment;

[0014] S5: determining whether the general analysis model based on time synchronization converges, if yes, continuing to S6; otherwise, returning to S3;

[0015] S6: respectively establishing an environmental characteristic model and a load characteristic model of a research area;

[0016] S7: bringing the environmental characteristic model and the load characteristic model into the general analysis model based on time synchronization, and performing space synchronization to obtain the environmental load factor space-time synchronous coupling analysis model.

[0017] Further, the criterion for determining whether the model converges is that, under the premise of a reliability of 90%, the following expression is satisfied:

[0018] L(t)+E(t)<P(t)

[0019] In the expression, L(t) is the road surface performance degradation model under the independent action of the load, E(t) is the road surface performance degradation model under the independent action of the environment, P(t) is the road surface performance degradation model under the coupling action of the environment and the load, and t is the actual use time of the road.

[0020] Further, the environmental characteristic model is a time-varying twin model under the action of the environment, and the load characteristic model is a digital twin model of traffic load.

[0021] Further, S6 specifically includes the following steps:

[0022] S601: According to the historical data of the road, the environmental traffic flow mapping relationship is established, the high-precision migration correction method of the environmental index is realized according to the space-time big data flow processing method, and the input value of the environmental action time-varying twin model is obtained.

[0023] S602: The discrete traffic load twin model is established through the vehicle load dynamic real-time weighing system, the local traffic load twin model is established through the traffic video vehicle intelligent identification system, and the wide-area traffic load twin model is established through the road network operation cross-scale cooperation method. The discrete traffic load twin model, the local traffic load twin model and the wide-area traffic load twin model are connected with each other through relationship learning, and the lane daily cumulative traffic volume and the lane daily equivalent axle load action frequency at any position of the road are output.

[0024] Further, the road comprises any one or combination of asphalt pavement, cement concrete pavement, highway, urban road, bridge and tunnel.

[0025] Further, the historical data of the road comprises pavement state, structural performance, meteorological environment, traffic flow and pavement structure.

[0026] Further, the pavement state data comprises pavement flatness index and pavement damage condition index, the structural performance index comprises deflection value and core sample modulus, the meteorological environment data comprises temperature, humidity, ultraviolet rays and freeze-thaw, the traffic flow data comprises traffic volume, growth rate and axle load composition, and the pavement structure data comprises pavement, roadbed and soil base.

[0027] Further, the historical data of the road is measured data within 34 years since the pavement service or measured data until the first pavement maintenance.

[0028] Further, the experimental data of the road comprises pavement accelerated loading loop test field measured data and indoor accelerated loading test road measured data.

[0029] Further, the time period selected for time synchronization is one or a combination of monthly, quarterly and annually.

[0030] Compared with the prior art, the present application has the following beneficial effects:

[0031] 1) The present application obtains the independent action of load factors and environmental factors through road measured data and experimental data, effectively extracts the influence of roads on load factors and environmental factors, unifies the influence process of the two through space-time synchronization, establishes a coupling model of the common action of the two, and can effectively describe the interaction of load factors and environmental factors, and improve the accuracy of road evaluation.

[0032] 2) The present application combines real-time data acquisition and digital twin technology to establish time-varying twin models of environmental effects and digital twin models of traffic loads, which can realize real-time monitoring of meteorological environment and vehicle load, and accurately predict the damage, deformation and deterioration trend of the pavement during the actual service period, improving the pertinence and reliability of the analysis model.

[0033] 3) The present application is suitable for various types of pavement engineering, including but not limited to asphalt pavement, cement concrete pavement, expressway, urban road, etc., and can also be extended to the field of traffic infrastructure such as bridge and tunnel, having strong universality and broad engineering application prospect. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 The method analysis flowchart provided for the embodiments of the present application.

[0035] Figure 2 The analysis flowchart of the traffic load digital twin model provided for the embodiments of the present application. DETAILED DESCRIPTION

[0036] The present application will be described in detail below in combination with the drawings and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present application, and detailed implementation and specific operation process are given, but the protection scope of the present application is not limited to the following embodiments.

[0037] Embodiment 1

[0038] A pavement design analysis method based on environmental load factor space-time synchronous coupling, comprising the following steps:

[0039] Obtaining environmental data and load data of the road, inputting the environmental data and load data into an environmental load factor space-time synchronous coupling analysis model to obtain an analysis result;

[0040] As shown in Figure 1 The establishment process of the environmental load factor space-time synchronous coupling analysis model is as follows:

[0041] S1: Obtain historical data of the road, and obtain a pavement performance degradation model under the coupling effect of environment and load according to the historical data;

[0042] In this step, the data source used is the detection and monitoring data of the road management department over the years, and the data types include pavement state, structural performance, meteorological environment, traffic flow and pavement structure.

[0043] The pavement state data include a pavement flatness index and a pavement damage condition index, the structure performance index includes a deflection value and a core sample modulus, the meteorological environment data include temperature, humidity, ultraviolet rays, freeze-thaw, the traffic flow data include traffic volume, growth rate, axle load composition, and the pavement structure data include a pavement, a roadbed and a soil base.

[0044] The calculation data are selected from data that can best reflect the influence of environmental factors on pavement performance, and the measured data within three to four years of service of a newly built pavement are the best choice, and the interference of later pavement maintenance and repair is excluded.

[0045] The pavement performance attenuation model calculated in this example takes the structure layer modulus as a core index.

[0046] S2: Obtain experimental data of the road, and obtain a pavement performance attenuation model under independent action of a load factor according to the experimental data;

[0047] When this step is performed, since the indoor accelerated loading test road data are measured data of the pavement under high-intensity traffic load for a short time, the environmental action on the test road can be ignored, and by comparison with the measured data of the full-scale pavement accelerated loading loop test field, the part of the model that changes regularly can be easily analyzed and verified, and this part is regarded as the pavement performance attenuation model under independent action of the load factor.

[0048] S3: Subtract the pavement performance attenuation model under the coupling action from the pavement performance attenuation model under the load action to obtain a pavement performance attenuation model under environmental action;

[0049] The pavement performance attenuation model under independent action of the environmental factor is calculated. The calculation result of step S2 is removed and separated from the calculation result of step S1, the influence of the traffic load factor is mainly removed by a statistical method, and a model is formed by establishing the mutual relationship between the environmental quantitative index and the pavement structure parameter.

[0050] When the influence of the load factor is removed, the two parts of constant and regular change are mainly considered, the part of constant is regarded as pavement structure damage caused by the load factor, the part of regular change is regarded as pavement structure damage caused by the coupling action of the environmental factor and the load factor, and the remaining part is regarded as pavement structure damage caused by the environmental factor.

[0051] The core of the model established by the above steps S1 to S3 is to convert the same service life as a basis.

[0052] S4: Time synchronization is performed on the pavement performance attenuation model under independent action of the load factor and the pavement performance attenuation model under environmental action to establish an analysis general model based on time synchronization;

[0053] In this step, taking the service life of the road surface as the core variable, a general method for analyzing the performance of the road surface at any time sequence within the service life is established, and the effectiveness of the general model is verified by using the measured data of the road surface with known service life. According to the data collection period, the time synchronization selected time period usually includes monthly, quarterly and annual.

[0054] S5: Determine whether the general analysis model based on time synchronization converges, if yes, continue to S6; otherwise, return to S3;

[0055] In this step, the criterion for determining whether the model converges is that under the condition of 90% reliability (90% mainly affects the value of P), the expression is satisfied:

[0056] L(t) + E(t) < P(t)

[0057] In the formula, L(t) is the road surface performance degradation model under the independent action of load factors; E(t) is the road surface performance degradation model under the independent action of environmental factors; P(t) is the road surface performance degradation model under the coupling action of environmental and load factors; t is the actual use time of the road surface.

[0058] Preferably, the reliability can be further adjusted according to the model accuracy requirement, and the period interval of the time length t is specified according to the period of the collected data.

[0059] So far, a general analysis model based on time synchronization of environmental and load factors coupling has been established for road surface design and evaluation.

[0060] S6: Establish the environmental characteristic model and the load characteristic model of the research area respectively;

[0061] In this step, the main purpose is to calculate around the spatial area where the road surface is located, and all calculation elements are indicators of the spatial area.

[0062] Step S601: The environmental characteristic model refers to the environment action time-varying twin model. According to the meteorological data in previous years and real-time monitoring data, the environmental traffic flow mapping relationship is established, the high-precision migration correction method of environmental indicators is realized according to the space-time big data flow processing method, and finally, the input values for the calculation of this model are converted, i.e. the temperature (T) and humidity coefficient (W) at any position of the road.

[0063] Step S602: The load characteristic model refers to the traffic load digital twin model. The calculation flowchart is as follows Figure 2As shown, the discrete traffic load twin model is established by the vehicle load dynamic real-time weighing system, the local traffic load twin model is established by the traffic video vehicle intelligent identification system, and the wide-area traffic load twin model is established by the road network operation cross-scale cooperation method. The three levels of models are connected through relationship learning. It should be noted that the traffic load twin model always contains the uncertainty random event simulation method. Finally, the results are converted into the input values for the model calculation in this example, i.e., the lane daily cumulative traffic volume (Q) and the lane daily equivalent single axle load action frequency (ESAL) at any position of the road. Among them, Q (0) and ESAL (0) are the calculation results of the discrete traffic load twin model, Q (1) and ESAL (1) are the calculation results of the local traffic load twin model, and Q (2) and ESAL (2) are the calculation results of the wide-area traffic load twin model.

[0064] In this example, the single axle double circle load (BZZ100) with an axle load of 100KN

[0065] S7: The environmental feature model and the load feature model are brought into the general model based on time synchronization analysis, spatial synchronization is performed, and the environmental load factor space-time synchronization coupling analysis model is obtained.

[0066] In this step, the road area to be studied is selected, the spatial range of spatial synchronization is selected according to the sensor and monitoring point range of the twin model layout, the calculation results of the environmental feature model and the load feature model in step S6 are substituted into the general model in step S4, spatial synchronization is performed, and finally the environmental load factor space-time synchronization coupling analysis model for the study area is obtained.

[0067] The preferred embodiments of the present application are described in detail above. It should be understood that those skilled in the art can make many modifications and changes to the present application without creative labor based on the concept of the present application. Therefore, any technical solution obtained by logical analysis, reasoning or limited experiment based on the prior art according to the concept of the present application should be within the protection scope determined by the claims.

Claims

1. A pavement design analysis method based on the spatio-temporal synchronization coupling of environmental load factors, characterized in that, The method comprises the following steps: Obtaining environmental data and load data of a road, and inputting the environmental data and the load data into an environmental load factor space-time synchronous coupling analysis model to obtain an analysis result; The establishment process of the environmental load factor space-time synchronous coupling analysis model is as follows: S1: obtaining historical data of the road, and obtaining a road surface performance degradation model under the coupling action of the environment and the load according to the historical data; S2: obtaining experimental data of the road, and obtaining a road surface performance degradation model under the independent action of the load according to the experimental data; S3: obtaining a road surface performance degradation model under the action of the environment by subtracting the road surface performance degradation model under the action of the load from the road surface performance degradation model under the coupling action of the environment and the load; S4: performing time synchronization on the road surface performance degradation model under the independent action of the load and the road surface performance degradation model under the action of the environment, and establishing an analysis general model based on time synchronization; In the step, a performance analysis general method that can be used to inversely calculate or predict the performance at any time sequence within the service life of the road surface is established by taking the service life of the road surface as a core variable, and the effectiveness of the analysis general model is verified by using the measured data of the road surface with a known service life. According to the data acquisition cycle, the time period selected for time synchronization usually includes monthly, quarterly and annually; S5: determining whether the analysis general model based on time synchronization converges, if yes, continuing to S6; otherwise, returning to S3; S6: respectively establishing an environmental characteristic model and a load characteristic model of a research area; S7: bringing the environmental characteristic model and the load characteristic model into the analysis general model based on time synchronization, performing space synchronization, and obtaining the environmental load factor space-time synchronous coupling analysis model; The judgment standard of whether the model converges is that, under the premise that the reliability is 90%, the expression is satisfied: In the expression, L(t) is the road surface performance degradation model under the independent action of the load factor, E(t) is the road surface performance degradation model under the independent action of the environmental factor, P(t) is the road surface performance degradation model under the coupling action of the environmental load factor, and t is the actual use time of the road surface. The environmental characteristic model is an environment action time-varying twin model, and the load characteristic model is a traffic load digital twin model. S6 specifically comprises: ​ 2. The method for pavement design analysis based on the time-space synchronization coupling of environmental load factors according to claim 1, characterized in that, ​ 3. The method for pavement design analysis based on the time-space synchronization coupling of environmental load factors according to claim 2, characterized in that, ​ S601: According to the historical data of the road, the environmental traffic flow mapping relationship is established, the high-precision migration correction method of the environmental index is realized according to the space-time big data flow processing method, and the input value of the environmental action time-varying twin model is obtained; S602: A discrete traffic load twin model is established through a vehicle load dynamic real-time weighing system, a local traffic load twin model is established through a traffic video vehicle intelligent identification system, and a wide-area traffic load twin model is established through a road network operation cross-scale cooperation method. The discrete traffic load twin model, the local traffic load twin model and the wide-area traffic load twin model are connected with each other through relationship learning, and the lane daily cumulative traffic volume and the lane daily equivalent axle load action frequency at any position of the road are output.

4. The method for pavement design analysis based on time-space synchronization coupling of environmental load factors according to claim 1, characterized in that, The road includes any one or combination of asphalt pavement, cement concrete pavement, highway, urban road, bridge and tunnel.

5. The method for pavement design analysis based on the time-space synchronization coupling of environmental load factors according to claim 1, characterized in that, The historical data of the road includes pavement state, structural performance, meteorological environment, traffic flow and pavement structure.

6. The method for pavement design analysis based on the time-space synchronization coupling of environmental load factors according to claim 5, characterized in that, The pavement state data includes pavement flatness index and pavement damage condition index, the structural performance index includes deflection value and core sample modulus, the meteorological environment data includes temperature, humidity, ultraviolet rays and freeze-thaw, the traffic flow data includes traffic volume, growth rate and axle load composition, and the pavement structure data includes pavement, roadbed and soil base.

7. The method for pavement design analysis based on the time-space synchronization coupling of environmental load factors according to claim 1, characterized in that, The historical data of the road is measured data within 34 years since the pavement is put into service or measured data until the first pavement maintenance.

8. The method for pavement design analysis based on spatio-temporal synchronization coupling of environmental load factors according to claim 1, characterized in that, The experimental data of the road includes pavement accelerated loading loop test field measured data and indoor accelerated loading test road measured data.

9. The method for pavement design analysis based on time-space synchronization coupling of environmental load factors according to claim 1, characterized in that, The time synchronization selects one or more combinations of monthly, quarterly and annual time periods.

Images