A semi-rigid base layer asphalt pavement rut cause step-by-step diagnosis method

Abstract

The application discloses a kind of semi-rigid base asphalt pavement rut cause step-by-step diagnostic method, comprising: the cause element corresponding to the analysis of four types of rut is classified and constructed rut disease cause library and key rut diagnostic index system;Call cause library and index system, carry out rut diagnosis first step: road section basic information investigation, the cause of rut disease is preliminarily diagnosed through environment, linear information etc.;Carry out rut diagnosis second step: overall data comprehensive analysis, the cause of rut disease is diagnosed through the comprehensive analysis of historical data and detection data;Carry out rut diagnosis third step: target area fine test diagnosis, the cause of rut disease is fine judged through supplementary detection and coring test, combined with rut type-layer position-cause classification method.This application realizes progressive diagnosis from surface to inside, from simple to complex by step-by-step diagnostic method, can accurately judge the cause of rut section, provides accurate basis for targeted maintenance decision.

Description

Technical Field

[0001] This invention belongs to the field of diagnosis of road engineering defects, and specifically relates to a step-by-step diagnosis method for the causes of rutting in semi-rigid base asphalt pavement. Background Technology

[0002] With the rapid development of my country's economy and the continuous improvement of its highway network, the service life of roads is constantly increasing, gradually entering an era dominated by maintenance. In order to improve the pertinence and accuracy of maintenance and treatment technologies, it is necessary to accurately diagnose the causes of road damage.

[0003] Rutting is the most typical and significant distress condition affecting asphalt pavements, substantially impacting driving safety and comfort. The causes of rutting are multifaceted, including material factors, structural factors, traffic load factors, and environmental factors. Current asphalt pavement rutting maintenance decisions lack support from causal analysis, resulting in insufficient targeting and poor durability. For example, rutting caused by subgrade deformation is often addressed by milling and repaving the asphalt surface layer, but rutting quickly recurs, leading to repeated treatments and recurrence. This is primarily due to the failure to diagnose the structural causes of rutting. Furthermore, existing testing indicators, mainly based on rutting depth, cannot reflect the true causes of rutting. Rutting with different causes often presents with similar symptoms, making accurate diagnosis difficult. Current maintenance decisions rely heavily on on-site construction experience, highlighting the urgent need for a precise, rapid, simplified, and streamlined method for diagnosing the causes of rutting. Summary of the Invention

[0004] The technical problem this invention aims to solve is: addressing the lack of causal analysis support for the treatment of rutting in asphalt pavements. Based on methods such as information surveys, data analysis, non-destructive testing, and core sampling, this invention establishes a step-by-step diagnostic method for rutting causes that comprehensively considers all factors including environment, traffic, structure, materials, and construction. This method provides accurate and rapid diagnosis of rutting causes, laying a solid foundation for subsequent targeted maintenance decisions and fundamentally solving the maintenance problem of rutting. To solve the above technical problem, this invention provides the following technical solution: a step-by-step diagnostic method for rutting causes in semi-rigid base asphalt pavements, comprising the following steps:

[0005] S1. Based on the causal factors corresponding to different types of rutting defects, a rutting defect causal database and a key rutting diagnostic indicator system are constructed.

[0006] S2. Using the rutting disease cause database and key rutting diagnosis index system, conduct a road section basic information survey, analyze basic information such as environment and alignment, and obtain the causes of rutting disease.

[0007] S3. Utilize the rutting disease cause database and key rutting diagnosis index system to conduct comprehensive data analysis, and diagnose the causes of rutting diseases through comprehensive analysis of historical data and test data.

[0008] S4. Utilize the rutting disease cause database and key rutting diagnostic index system to conduct detailed test diagnosis of the target area, conduct supplementary testing and core sampling tests on the target area of ​​rutting disease, and combine the rutting type-layer-cause classification method to accurately determine the cause of rutting disease.

[0009] Furthermore, in step S1 above, the causal factors corresponding to the rutting disease type include:

[0010] Environmental factors, including high temperatures and road surface water accumulation;

[0011] Traffic factors include heavy traffic, driving speed, special road sections, and road surface wear;

[0012] Structural design factors include subgrade strength, thickness combination, material combination, and interlayer bonding;

[0013] Material and mix design factors include asphalt type, additives, void ratio, asphalt content, gradation design, aggregate characteristics, and aggregate toughness;

[0014] Construction quality factors include insufficient compaction and rolling temperature.

[0015] Furthermore, in the aforementioned step S1, the specific steps for classifying and constructing the rutting disease cause database and key rutting diagnostic index system are as follows: Analyze the formation mechanism of four types of rutting: structural, unstable, abrasion, and compaction; summarize and categorize the causal elements corresponding to rutting diseases from environmental factors, traffic factors, structural design factors, material and mix design factors, and construction quality factors; and construct the cause database corresponding to the four different rutting types.

[0016] Based on the principle of prioritizing engineering applicability, and using methods such as basic information surveys, road section data analysis, and core sampling experiments, a key rutting index system for causal diagnosis was constructed to obtain diagnostic indicators and methods corresponding to the causes of rutting.

[0017] Furthermore, in the aforementioned step S2, the road segment basic information survey specifically involves: conducting a road segment basic information survey and on-site observation;

[0018] Conduct environmental and climate surveys to determine the causes of high-temperature climates by using indicators such as the number of consecutive high-temperature days and high-temperature temperatures.

[0019] Conduct environmental and climate surveys to determine the causes of road water accumulation by analyzing the road water accumulation situation;

[0020] Conduct road alignment surveys and determine the causes of special road sections by examining intersections and long longitudinal slopes;

[0021] Conduct a road condition survey and determine the causes of road wear by using road wear indexes.

[0022] Furthermore, in the aforementioned step S3, a comprehensive data analysis is performed, specifically as follows:

[0023] Conduct comprehensive analysis of historical data and on-site testing;

[0024] Traffic data analysis is conducted to determine the causes of heavy traffic by using indicators such as channelization level, truck ratio, overload ratio, equivalent axle load frequency, and traffic volume.

[0025] Conduct traffic data analysis to determine the causes of driving speed by analyzing the average driving speed index of road segments;

[0026] Conduct traffic data analysis to determine the causes of construction factors through longitudinal data;

[0027] Conduct construction data analysis and determine the causes of insufficient compaction and rolling temperature by using compaction data from construction logs.

[0028] Design information analysis is conducted, and the causes of thickness combination and material combination are determined through strength verification.

[0029] Furthermore, in the aforementioned step S4, the detailed test diagnosis of the target area includes the following sub-steps:

[0030] S4-1. Determine the type and layer of ruts by visual inspection, core sampling, or road radar; including: structural ruts: no obvious bulges on both sides, cross-section shows a concave or shallow U-shaped cross-section, and the base layer is deformed.

[0031] Instability-type ruts: There are bulges on both sides, the appearance is W-shaped, and the amount of deformation is large;

[0032] Abrasive rutting: Abrasion is observed on the surface, mainly in the surface layer;

[0033] Compacted ruts: The middle part is concave, and there is no obvious bulge on both sides. The appearance is mainly V-shaped or W-shaped.

[0034] S4-2. Determine the specific causes of different rutting types (structural, unstable, abrasion, and compaction). The diagnostic results of the step-by-step diagnostic process for the causes of rutting in asphalt pavement are a combination of multiple causal factors.

[0035] Furthermore, the aforementioned step-by-step diagnostic method for the causes of rutting in semi-rigid base asphalt pavements, specifically includes the method for determining the causes of structural rutting types:

[0036] On-site core sampling was conducted to determine the cause of interlayer adhesion based on the interlayer condition.

[0037] Unconfined compressive strength tests were conducted, and the cause of subgrade strength was determined by the unconfined compressive resilient modulus index.

[0038] Furthermore, the aforementioned step-by-step diagnostic method for rutting causes in semi-rigid base asphalt pavements, and the method for identifying unstable rutting, specifically include:

[0039] Conduct shear strength tests on asphalt mixtures to determine the type of asphalt and the origin of additives;

[0040] Core sample extraction tests were conducted, and the causes of asphalt content were determined by indicators such as asphalt-aggregate ratio and asphalt content.

[0041] Core sample sieving tests were conducted to determine the gradation design and the causes of mineral characteristics by analyzing gradation ratio, aggregate characteristics, and mineral powder content.

[0042] Core sample porosity tests were conducted to determine the causes of porosity based on porosity indicators.

[0043] Furthermore, the aforementioned step-by-step diagnostic method for the causes of rutting in semi-rigid base asphalt pavements, specifically includes the method for determining the cause of wear-type rutting, which includes:

[0044] Core sample sieving tests were conducted to determine the cause of aggregate toughness based on aggregate characteristics.

[0045] Furthermore, the aforementioned step-by-step diagnostic method for the causes of rutting in semi-rigid base asphalt pavement, and the method for determining the causes of compaction-type rutting, specifically includes: conducting core sample density testing, and determining the causes of insufficient compaction and construction temperature through core sample density.

[0046] Compared with the prior art, the beneficial technical effects of the present invention using the above technical solution are as follows:

[0047] This invention addresses the current lack of accurate causal diagnosis support in existing maintenance technologies. It analyzes the causal elements corresponding to different rutting types, classifies and constructs a rutting causal database and a key rutting index system, and ultimately develops a step-by-step rutting causal diagnosis method based on road section basic information surveys, comprehensive data analysis, and detailed target area testing. This method combines rutting type, layer, and causal classification judgment. The implementation of this step-by-step rutting causal diagnosis method for asphalt pavements effectively improves the efficiency and accuracy of causal diagnosis, reducing errors in judgment and inappropriate maintenance treatments caused by experience. It shifts traditional judgment methods to a precise, rapid, simplified, and streamlined step-by-step rutting causal diagnosis, providing accurate support for subsequent maintenance decisions and demonstrating good engineering feasibility and high economic benefits. Attached Figure Description

[0048] Figure 1 This is a flowchart of the present invention.

[0049] Figure 2 It is a rut formation database.

[0050] Figure 3 It is a key indicator system for the formation of ruts.

[0051] Figure 4 This is a step-by-step diagnostic method for the causes of rutting in semi-rigid base asphalt pavements.

[0052] Figure 5 This is a diagram showing the core sampling of tire tracks at the site.

[0053] Figure 6 This is a schematic diagram of the core sample taken on-site. Detailed Implementation

[0054] To better understand the technical content of the present invention, specific embodiments are described below in conjunction with the accompanying drawings.

[0055] In this invention, various aspects of the invention are described with reference to the accompanying drawings, in which numerous illustrative embodiments are shown. Embodiments of the invention are not limited to those depicted in the drawings. It should be understood that the invention is implemented through any of the various concepts and embodiments described above, as well as the concepts and embodiments described in detail below, because the concepts and embodiments disclosed herein are not limited to any particular implementation. Furthermore, some aspects of the invention disclosed may be used alone or in any suitable combination with other aspects of the invention disclosed.

[0056] refer to Figure 1 This invention provides a step-by-step diagnostic method for the causes of rutting in semi-rigid base asphalt pavements, comprising the following steps:

[0057] S1. Based on the causal factors corresponding to different types of rutting defects, a rutting defect causal database and a key rutting diagnostic indicator system are constructed.

[0058] S2. Using the rutting disease cause database and key rutting diagnosis index system, conduct a road section basic information survey, analyze environmental and alignment basic information, and obtain the causes of rutting disease.

[0059] S3. Utilize the rutting disease cause database and key rutting diagnosis index system to conduct comprehensive data analysis, and diagnose the causes of rutting diseases through comprehensive analysis of historical data and test data.

[0060] S4. Utilize the rutting disease cause database and key rutting diagnostic index system to conduct detailed test diagnosis of the target area, conduct supplementary testing and core sampling tests on the target area of ​​rutting disease, and combine the rutting type-layer-cause classification method to accurately determine the cause of rutting disease.

[0061] This embodiment studies and analyzes the formation mechanisms and development patterns of four types of rutting—structural, unstable, abrasion, and compaction—based on semi-rigid base asphalt pavements. It summarizes and categorizes the causal factors of rutting from the perspectives of environmental factors, traffic factors, structural design, material and mix design, and construction quality, and constructs a causal database based on rutting type. Combining existing detection methods, it thoroughly investigates rutting evaluation methods and indicators, and constructs a key rutting indicator system for causal diagnosis.

[0062] In the specific implementation process, in step S1, the causal factors corresponding to rutting defects, such as... Figure 2 As shown, where:

[0063] Environmental factors include: high temperature climate, including the number of consecutive high-temperature days and the highest temperature; road water accumulation, including the road water accumulation situation and road surface moisture content;

[0064] Traffic factors include: heavy traffic, including channelized traffic, truck ratio, overloading, and traffic volume; driving speed, including average driving speed on road sections; special road sections, including intersections, long longitudinal slopes, and slope-length combinations; and road surface wear.

[0065] Structural design factors include: subgrade strength; thickness combination; material combination; interlayer bonding, including tack coat and seal coat;

[0066] Material and mix design factors include: asphalt type, including consistency, viscosity, softening point, pH, temperature sensitivity, and asphalt type; additives, including modifiers, anti-rutting agents, and admixtures; porosity; asphalt content, including optimal asphalt content and asphalt-aggregate ratio; gradation design, including gradation type, mineral powder content, and mineral powder fineness; aggregate characteristics, including geometric properties, needle-like and flaky content, surface characteristics, aggregate pH, and mud content; and aggregate toughness.

[0067] Construction quality factors include: insufficient compaction, including compaction degree, rolling speed and number of rolling passes; rolling temperature.

[0068] Step S1 involves classifying and constructing a rut cause database, specifically including: based on the summarization and organization of causal elements, constructing a cause database corresponding to four different rut types, laying the foundation for subsequent diagnosis. Considering the interrelationship between the causes of the same category of third-level headings, and the feasibility of engineering, the subsequent cause diagnosis results are simplified to the judgment of the second-level headings, and based on this, a key rut indicator system for cause diagnosis is constructed.

[0069] In the specific implementation process, the key rutting index system for causal diagnosis in step S1, such as... Figure 3 As shown. Specifically includes:

[0070] Research and compile diagnostic indicators and methods corresponding to the factors contributing to rutting.

[0071] Based on the principles of prioritizing engineering applicability and accuracy of judgment, a key rutting index system for causal diagnosis is constructed, and the judgment methods and indicators, including the units of the indicators, are determined according to the local conditions.

[0072] This invention constructs a step-by-step diagnostic method for rutting causes based on road segment basic information survey, overall data comprehensive analysis, and detailed test diagnosis of target areas. It combines this with a rutting type-layer-causative classification method to achieve a progressive diagnosis from superficial to in-depth and from simple to complex. Figure 4 As shown.

[0073] In step S2, obtaining basic road segment information mainly involves investigating the environmental and climatic information, road alignment, and current status of the specific road segment over a certain period. Using readily available and intuitive basic information, the possible causes of rutting are determined, including:

[0074] Conduct basic information surveys and on-site observations of the road sections;

[0075] Conduct environmental and climate surveys to determine the causes of high-temperature climates by using indicators such as the number of consecutive high-temperature days (days) and high-temperature temperature (°C).

[0076] Conduct environmental and climate surveys to determine the causes of road surface water accumulation by assessing whether or not water accumulates on the road.

[0077] Conduct road alignment surveys and determine the causes of special road sections by judging (yes or no) specific road sections;

[0078] Conduct a road wear survey and determine the cause of road wear by judging whether the road surface wear is present or absent.

[0079] In step S3, the overall data comprehensive analysis mainly involves analyzing historical data of the road section from the start of construction to the present. Through data processing, data integration, and comprehensive data analysis, the potential causes are determined. The comprehensive analysis process of historical data and on-site monitoring specifically includes: conducting traffic data analysis, and using the cumulative traffic volume (vehicles) of large passenger vehicles and freight vehicles in the design lanes within the design service life to determine the causes of heavy traffic.

[0080] Traffic data analysis is conducted to determine the causes of driving speed by using the average driving speed (km / h) index of road segments;

[0081] Longitudinal traffic data analysis was conducted, and the causes of construction factors were determined by longitudinal rut depth (cm) data.

[0082] Analyze the construction log data and use the compaction degree (%) and rolling temperature (°C) indicators to determine the causes of insufficient compaction and rolling temperature.

[0083] The design information is analyzed, and the thickness combination and material combination are determined by whether the strength calculation is qualified (yes or no).

[0084] The historical data survey includes testing data, maintenance history, and service status.

[0085] In the specific implementation process, step S4, the detailed test diagnosis of the target area, mainly involves identifying typical diseased areas as the target area, and then proceeding according to... Figure 5 Core samples were taken from the locations shown for rut damage. Figure 6 As shown, and experimental analysis was conducted. The supplementary testing and core sampling test result analysis process specifically includes, superimposing:

[0086] The type and layer of ruts can be determined by visual inspection, core sampling, or road radar.

[0087] Determine the specific causes of different rut types (structural, unstable, wear-resistant, and compaction-type).

[0088] The methods for judging vehicle rut types using appearance, core sampling, and road surface radar specifically include:

[0089] Structural ruts: There are no obvious bulges on both sides, the cross-section is concave or shallow basin-shaped U, and the base layer is also deformed;

[0090] Instability-type ruts: There are bulges on both sides, the appearance is mainly W-shaped, and the amount of deformation is large;

[0091] Abrasive rutting: Abrasion is observed on the surface, mainly in the surface layer;

[0092] Compacted ruts: The middle part is concave, and there is no obvious bulge on both sides. The appearance is mainly V-shaped or W-shaped.

[0093] The method for determining the cause of structural rut types specifically includes:

[0094] On-site core sampling is conducted to determine the cause of interlayer adhesion by checking whether the interlayer condition is acceptable (yes or no).

[0095] A standard test of the dynamic resilient modulus of the subgrade was conducted to determine the cause of the subgrade strength by using the subgrade resilient modulus (MPa) index.

[0096] The method for determining the cause of unstable rut types specifically includes:

[0097] Asphalt pavement core sample shear strength test was conducted to determine the asphalt type and additive composition by using the asphalt mixture shear strength (MPa) index;

[0098] Core sample extraction tests were conducted, and the cause of asphalt content was determined by the asphalt content (%) index.

[0099] Core sample sieve tests were conducted to determine the cause of the gradation design by using the asphalt mixture gradation and mineral powder ratio (%).

[0100] Core sample sieving tests are conducted to determine the origin of mineral characteristics by whether the aggregate characteristics are qualified (yes or no);

[0101] A porosity measurement experiment was conducted, and the porosity (%) index was used to determine the cause of porosity.

[0102] The method for determining the cause of wear-type ruts specifically includes:

[0103] Core sample sieving tests were conducted, and the cause of aggregate toughness was determined by the aggregate impact value (AIV) (%) index.

[0104] The method for determining the cause of compacted rut types specifically includes:

[0105] Core sample density was measured, and the core sample density (g / cm³) was determined. 3 Indicators are used to determine the causes of insufficient compaction and construction temperature.

[0106] In the specific implementation process, the diagnostic results of the step-by-step diagnostic process for the causes of rutting in asphalt pavement of the present invention are composed of a combination of multiple causal factors.

[0107] While the present invention has been described above with reference to preferred embodiments, it is not intended to limit the invention. Those skilled in the art can make various modifications and refinements without departing from the spirit and scope of the invention. Therefore, the scope of protection of the present invention shall be determined by the claims.

Claims

1. A step-by-step diagnostic method for the causes of rutting in semi-rigid base asphalt pavements, characterized in that, Includes the following steps: S1. Based on the causal factors corresponding to the types of rutting defects, a rutting defect causal database and a key rutting diagnostic index system are constructed. Specifically, the formation mechanisms of four types of rutting—structural, unstable, abrasion, and compaction—are analyzed. The causal factors corresponding to rutting defects are summarized from environmental factors, traffic factors, structural design factors, material and mix design factors, and construction quality factors, and a causal database corresponding to the four different rutting types is constructed. Based on the principle of prioritizing engineering applicability, and utilizing basic information surveys, road section data analysis, and core sampling experiments, a key rutting index system for causal diagnosis was constructed, yielding diagnostic indicators and methods corresponding to the causes of rutting. S2. Using the rutting disease cause database and key rutting diagnosis index system, conduct a road section basic information survey, analyze environmental and alignment basic information, and obtain the causes of rutting disease. S3. Utilize the rutting disease cause database and key rutting diagnosis index system to conduct comprehensive data analysis, diagnosing the causes of rutting diseases through a comprehensive analysis of historical and detection data; the comprehensive data analysis specifically includes: Conduct comprehensive analysis of historical data and on-site testing; Traffic data analysis is conducted to determine the causes of heavy traffic by analyzing factors such as channelization level, truck ratio, overload ratio, equivalent axle load frequency, and traffic volume indicators. Conduct traffic data analysis to determine the causes of driving speed by analyzing the average driving speed index of road segments; Conduct traffic data analysis to determine the causes of construction factors through longitudinal data; Conduct construction data analysis and determine the causes of insufficient compaction and rolling temperature by using compaction data from construction logs. Conduct design information analysis and determine the causes of thickness and material combinations through strength verification; S4. Utilize the rutting disease cause database and key rutting diagnostic index system to conduct detailed test diagnosis of the target area, conduct supplementary testing and core sampling tests on the rutting disease target area, and combine the rutting type-layer-cause classification method to accurately determine the cause of rutting disease. The detailed test diagnosis of the target area includes the following sub-steps: S4-1. Determine the type and layer of ruts by visual inspection, core sampling, or road radar; including: structural ruts: no obvious bulges on both sides, cross-section shows a concave or shallow U-shaped cross-section, and the base layer is deformed. Unstable ruts: bulges on both sides, with a W-shaped appearance; Abrasive rutting: Abrasion is observed on the surface, mainly in the surface layer; Compacted ruts: The middle part is concave, and there is no obvious bulge on both sides. The appearance is mainly V-shaped or W-shaped. S4-2. Determine the specific causes of different rutting types. Rutting types include structural, unstable, abrasion, and compaction types. The diagnostic results of the step-by-step diagnostic process for the causes of rutting on asphalt pavement are a combination of multiple causal factors.

2. The step-by-step diagnostic method for the causes of rutting in semi-rigid base asphalt pavement according to claim 1, characterized in that, In step S1, the causal factors corresponding to the rutting disease type include: Environmental factors, including high temperatures and road surface water accumulation; Traffic factors include heavy traffic, driving speed, special road sections, and road surface wear; Structural design factors include subgrade strength, thickness combination, material combination, and interlayer bonding; Material and mix design factors include asphalt type, additives, void ratio, asphalt content, gradation design, aggregate characteristics, and aggregate toughness; Construction quality factors include insufficient compaction and rolling temperature.

3. The step-by-step diagnostic method for the causes of rutting in semi-rigid base asphalt pavement according to claim 1, characterized in that, In step S2, the road segment basic information survey specifically involves: conducting a road segment basic information survey and on-site observation; Conduct environmental and climate surveys to determine the causes of high-temperature climate by analyzing the number of consecutive high-temperature days and high-temperature indicators. Conduct environmental and climate surveys to determine the causes of road water accumulation by analyzing the road water accumulation situation; Conduct road alignment surveys and determine the causes of special road sections by examining intersections and long longitudinal slopes; Conduct a road condition survey and determine the causes of road wear by using road wear indexes.

4. The step-by-step diagnostic method for the causes of rutting in semi-rigid base asphalt pavement according to claim 3, characterized in that, The method for determining the cause of structural rut types specifically includes: On-site core sampling was conducted to determine the cause of interlayer adhesion based on the interlayer condition. Unconfined compressive strength tests were conducted, and the cause of subgrade strength was determined by the unconfined compressive resilient modulus index.

5. The step-by-step diagnostic method for the causes of rutting in semi-rigid base asphalt pavement according to claim 4, characterized in that, Methods for identifying unstable wheel ruts include: Conduct shear strength tests on asphalt mixtures to determine the type of asphalt and the origin of additives; Core sample extraction tests were conducted, and the cause of asphalt content was determined by the asphalt-aggregate ratio and asphalt content standard. Core sample sieving tests were conducted to determine the gradation design and the causes of mineral characteristics by analyzing gradation ratio, aggregate characteristics, and mineral powder content. Core sample porosity tests were conducted to determine the causes of porosity based on porosity indicators.

6. The step-by-step diagnostic method for the causes of rutting in semi-rigid base asphalt pavement according to claim 5, characterized in that, The method for determining the cause of wear-type ruts specifically includes: Core sample sieving tests were conducted to determine the cause of aggregate toughness based on aggregate characteristics.

7. The step-by-step diagnostic method for the causes of rutting in semi-rigid base asphalt pavement according to claim 6, characterized in that, The method for determining the cause of compaction-type ruts includes: conducting core sample density testing, and using the core sample density to determine the causes of insufficient compaction and construction temperature.

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