Evaluation Method and System for Pavement Materials during Construction Process with Coordination of Volume-Mechanical Indexes
By establishing a reasonable interval database of compaction-torsion shear strength and optimizing construction process parameters with actual measured data, the problem that a single volume index is difficult to reflect the structure and mechanical properties of asphalt pavement is solved, and precise quality control and performance improvement of the construction process are achieved.
Patent Information
- Application Number
- CN202510554582.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-29
- Publication Date
- 2025-07-22
- Estimated Expiration
- 2045-04-29
AI Technical Summary
In the construction of existing asphalt pavements, a single volume index is difficult to fully reflect the skeleton structure and mechanical properties of the mixture, resulting in overpressure or underpressure, affecting the pavement performance and service life.
By establishing a reasonable interval database of compaction-torsion shear strength, synergistic evaluation of the actual measured compaction and torsional shear strength, the construction process parameters are optimized.
Accurate quality control of the asphalt pavement construction process has been achieved, the pavement service performance has been improved, the disease has been reduced, and the construction quality pass rate and inspection efficiency have been improved.
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Figure CN120072154B_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of asphalt pavement construction quality control, and particularly relates to a method and system for evaluating pavement materials during the construction process with coordinated volume-mechanical indexes. Background Art
[0002] In asphalt pavement construction, compaction quality is one of the key factors determining pavement performance and service life. Volume indexes such as density, degree of compaction, and void ratio have always occupied a core position in the evaluation of compaction quality. At present, the degree of compaction is the most commonly used evaluation index in asphalt pavement construction. However, due to the non-uniform distribution of aggregates, asphalt, and mineral powder during the compaction process, asphalt mixtures with the same degree of compaction may have significant differences in mechanical properties. Therefore, a single volume index is difficult to comprehensively and accurately reflect the compaction quality of the mixture.
[0003] With the in-depth research on asphalt mixtures from macro, meso, to micro levels, many scholars have proposed new evaluation indexes. Qian et al. established a simulation model of the asphalt mixture compaction process through the discrete element method and proposed microscopic indexes such as the contact unbalanced force of coarse aggregates, contact points and contact forces between mortar and aggregates. Liu et al. combined the finite element method and the discrete element method and used porosity and apparent density to evaluate compaction quality. Sefidmazgi et al. proposed an internal structure index to evaluate compaction quality by improving two-dimensional image processing technology. Although these microscopic indexes can effectively evaluate the compaction state of the mixture, they are mostly limited to static evaluation after compaction and cannot evaluate the quality of the compaction process. At the same time, their measurement process is complex and the calculation amount is large, making it difficult to be widely applied in engineering practice.
[0004] Ground-penetrating radar (GPR), as a non-destructive testing technology for pavements, has the advantages of convenient operation, high detection efficiency, and high resolution. Therefore, GPR technology has also been popularized and applied in the evaluation of asphalt pavement quality. Xiong Xuetang et al. established a model of dielectric constant and void ratio to realize the evaluation of pavement compaction quality. Cui et al. further established a dynamic modulus prediction model using an empirical neural network and an artificial neural network, while Meng et al. established a density prediction model based on the Back Propagation Neural Network (BPNN), reducing the prediction error to 0.184% and greatly improving the evaluation accuracy. Zhang Bei et al. constructed a combined algorithm based on BP-PSO, which greatly improved the calculation efficiency while ensuring the calculation accuracy. However, the GPR method still essentially focuses on density evaluation after compaction and is difficult to comprehensively reflect mechanical properties.
[0005] Most of the evaluation indexes of the existing compaction quality evaluation methods are mainly volume indexes, which are difficult to comprehensively characterize the skeleton structure and mechanical properties of the mixture. In addition, although methods such as numerical simulation, industrial CT, and ground penetrating radar provide new perspectives, they are costly, computationally complex, and lack practicality. At the same time, these evaluation methods are only applicable to the detection and evaluation after opening to traffic, and cannot implement dynamic monitoring and precise control of the construction process. This also leads to the over-pursuit of compaction degree during the asphalt pavement compaction process, resulting in over-compaction of many asphalt pavements after construction. Over-compaction will cause excessive extrusion of the asphalt film and excessive filling of fine aggregates, reducing the interlock effect between aggregates, thereby affecting the anti-shear performance of the mixture, reducing the anti-fatigue performance, and increasing the risk of low-temperature cracking. Simple volume indexes are difficult to provide a scientific basis for the compaction quality evaluation and control measures of asphalt mixtures. Summary of the Invention
[0006] To solve the above technical problems, the present invention provides a pavement material evaluation method and system during the construction process with coordinated volume-mechanical indexes.
[0007] The technical solution adopted by the present invention is as follows:
[0008] In the first aspect, a pavement material evaluation method during the construction process with coordinated volume-mechanical indexes is provided, including:
[0009] By testing asphalt mixture specimens, a reasonable interval database of compaction degree-torsional shear strength is established;
[0010] During the construction process of the asphalt pavement, the measured compaction degree and the measured torsional shear strength of the asphalt pavement are collected;
[0011] Compare the measured torsional shear strength corresponding to the measured compaction degree with the reasonable interval database to obtain a coordinated evaluation result;
[0012] Based on the coordinated evaluation result, optimize the construction process parameters during the construction process.
[0013] Furthermore, by testing asphalt mixture specimens, establishing a reasonable interval database of compaction degree-torsional shear strength includes:
[0014] Mold asphalt mixture specimens in the laboratory according to the construction mix ratio, and control the preset percentage of the test compaction degree C to simulate the dense state of different compaction stages;
[0015] Use a compaction shear property detection device to measure the test torsional shear strength of each group of asphalt mixture specimens at the corresponding test temperature T τ ;
[0016] By statistically analyzing the test compaction degree C and the test torsional shear strength τ, determine the reasonable interval expression of the torsional shear strength at each test compaction degree C as:
[0017] ;
[0018] Among them, is the standard value of the test torsional shear strength τ; is for testing the torsional shear strength τ of the standard deviation; the coefficient of variation of the test torsional shear strength τ ; ;
[0019] Establish a reasonable interval database for compaction degree - torsional shear strength according to the reasonable interval expression.
[0020] Furthermore, compare the measured compaction degree corresponding to the measured torsional shear strength with the reasonable interval database to obtain a collaborative evaluation result, including:
[0021] Compare the measured compaction degree corresponding to the measured torsional shear strength with the reasonable interval database;
[0022] When corresponding , that is, when the torsional shear strength corresponding to the compaction degree is within the reasonable interval, the collaborative evaluation result is qualified;
[0023] When corresponding , that is, when the torsional shear strength corresponding to the compaction degree exceeds the reasonable interval, the obtained collaborative evaluation result is overpressure, and the is ;
[0024] When corresponding , that is, when the torsional shear strength corresponding to the compaction degree is lower than the reasonable interval, the obtained collaborative evaluation result is underpressure, and the is .
[0025] Furthermore, optimize the construction process parameters based on the collaborative evaluation result, including:
[0026] When the collaborative evaluation result is underpressure or overpressure, calculate the rolling speed adjustment amount and the vibration frequency adjustment amount ; k and m are preset adjustment coefficients; is the torsional shear strength corresponding to each compaction degree on the standard curve of compaction degree - torsional shear strength in the reasonable interval database;
[0027] Through the rolling speed adjustment amount and the vibration frequency adjustment amount Adjust the rolling speed and vibration frequency during the construction process.
[0028] Furthermore, during the construction of the asphalt pavement, collect the measured compaction degree and the measured torsional shear strength of the asphalt pavement, including:
[0029] During the construction of the asphalt pavement, obtain the measured compaction degree of the asphalt pavement during the construction process in real time through a nuclear-free density meter; and measure the measured torsional shear strength and the measured temperature of the asphalt pavement through a compaction shear property detection device.
[0030] On the second aspect, a pavement material evaluation system for the construction process with coordinated volume-mechanical indexes is provided, including:
[0031] A reasonable interval database establishment module, which is used to establish a reasonable interval database of compaction degree - torsional shear strength by testing asphalt mixture specimens;
[0032] A data collection module, which is used to collect the measured compaction degree and the measured torsional shear strength of the asphalt pavement during the construction process of the asphalt pavement;
[0033] A volume-mechanical double-index coordinated evaluation module, which is used to compare the measured torsional shear strength corresponding to the measured compaction degree with the reasonable interval database to obtain a coordinated evaluation result;
[0034] An optimization module, which is used to optimize the construction process parameters of the construction process based on the coordinated evaluation result.
[0035] Furthermore, the reasonable interval database establishment module and the reasonable interval data graph are specifically used to form asphalt mixture specimens in the laboratory according to the construction mix ratio, control the test compaction degree C of a preset percentage to simulate the dense state of different rolling stages; use a compaction shear property detection device to measure the test torsional shear strength of each group of asphalt mixture specimens at the corresponding test temperature T τ ; by statistically analyzing the test compaction degree C and the test torsional shear strength τ to determine that the reasonable interval expression of the torsional shear strength at each test compaction degree C is:[[]]END]]
[0036] ;
[0037] Among them, is the standard value of the test torsional shear strength τ; is the standard deviation of the test torsional shear strength τ; the coefficient of variation of the test torsional shear strength τ ; establish a reasonable interval database of compaction degree - torsional shear strength according to the reasonable interval expression, and form a reasonable interval data graph.
[0038] Further, the volume-mechanics dual-index collaborative evaluation module is specifically configured to use the measured compaction degree to correspond to the measured torsional shear strength and compare it with the reasonable interval database; when the corresponding is such that the torsional shear strength corresponding to the compaction degree is within the reasonable interval, the collaborative evaluation result is obtained as qualified; when the corresponding is such that the torsional shear strength corresponding to the compaction degree exceeds the reasonable interval, the collaborative evaluation result is obtained as over-compacted, and the is ; when the corresponding is such that the torsional shear strength corresponding to the compaction degree is lower than the reasonable interval, the collaborative evaluation result is obtained as under-compacted, and the is .
[0039] Further, the optimization module is specifically configured to calculate the rolling speed adjustment amount and the vibration frequency adjustment amount when the collaborative evaluation result is under-compacted or over-compacted; k and m are preset adjustment coefficients; is the torsional shear strength corresponding to each compaction degree on the standard curve of compaction degree - torsional shear strength in the reasonable interval database; the rolling speed and vibration frequency during the construction process are adjusted by the rolling speed adjustment amount and the vibration frequency adjustment amount .
[0040] Further, the data acquisition module is specifically configured to, during the construction of the asphalt pavement, obtain the measured compaction degree of the asphalt pavement during the construction process in real time through a nuclear-free densitometer; and measure the measured torsional shear strength and the measured temperature of the asphalt pavement through a compaction shear property detection device.
[0041] The beneficial effects achieved by the present invention:
[0042] By testing asphalt mixture specimens, a reasonable interval database of compactness - torsional shear strength is established; during the construction process of asphalt pavement, the measured compactness and measured torsional shear strength of the asphalt pavement are collected; the measured torsional shear strength corresponding to the measured compactness is compared with the reasonable interval database to obtain a collaborative evaluation result; based on the collaborative evaluation result, the construction process parameters are optimized. Combining compactness and torsional shear strength for collaborative evaluation breaks through the limitation of traditional single - compactness evaluation, significantly improves the pavement service performance, reduces later - stage diseases, significantly increases the construction quality qualification rate and detection efficiency, and is applicable to the intelligent construction quality control of asphalt pavement. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] Figure 1 It is a flowchart of the pavement material evaluation method during the construction process with the collaboration of volume - mechanical indexes of the present invention;
[0044] Figure 2 It is a structural diagram of the pavement material evaluation system during the construction process with the collaboration of volume - mechanical indexes of the present invention;
[0045] Figure 3 It is a schematic diagram of the reasonable interval database of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0046] The present invention will be further described below with reference to the drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and cannot be used to limit the protection scope of the present invention.
[0047] As Figure 1 shown, the embodiment of the present invention provides a pavement material evaluation method during the construction process with the collaboration of volume - mechanical indexes, including:
[0048] 101. By testing asphalt mixture specimens, a reasonable interval database of compactness - torsional shear strength is established;
[0049] In this embodiment, asphalt mixture specimens are molded in the laboratory according to the construction mix ratio, and the test compactness C of a preset percentage is controlled to simulate the compact state of different compaction stages; the preset percentages are 90%, 92%, 94%, 96%, 98% and 99% respectively;
[0050] The test torsional shear strength of each group of asphalt mixture specimens at the corresponding test temperature T is measured using a compaction - shear property detection device τ ; in addition, a rutting test needs to be carried out synchronously to obtain the dynamic stability (DS), and a soaking rutting test needs to be carried out to obtain the dynamic stability ratio DSR;
[0051] By statistically analyzing the test compactness C and the test torsional shear strength τ, the reasonable interval expression of the torsional shear strength at each test compaction degree C is determined as:
[0052] ;
[0053] Among them, is the standard value of the test torsional shear strength τ; is the standard deviation of the test torsional shear strength τ; the coefficient of variation of the test torsional shear strength τ is ;
[0054] According to the reasonable interval expression, a reasonable interval database of compaction degree - torsional shear strength is established. As Figure 3 shown, the reasonable interval database has a standard curve of compaction degree - torsional shear strength, and the colored areas on both sides of the standard curve are the reasonable intervals;
[0055] In addition, a C , τ , T and mapping relationship database with pavement performance ( DS , DSR ) can also be established.
[0056] 102. During the construction process of the asphalt pavement, the measured compaction degree and measured torsional shear strength of the asphalt pavement are collected;
[0057] In this embodiment, during the construction process of the asphalt pavement, the measured compaction degree of the asphalt pavement during construction is obtained in real time through a nuclear - free density meter ; and the measured torsional shear strength and measured temperature of the asphalt pavement are measured in real time through a compaction - shear property detection device.
[0058] 103. Compare the measured compaction degree corresponding to the measured torsional shear strength with the reasonable interval database to obtain a collaborative evaluation result;
[0059] In this embodiment, the measured compaction degree corresponding to the measured torsional shear strength is compared with the reasonable interval database;
[0060] When corresponding , that is, when the torsional shear strength corresponding to the compaction degree is within the reasonable interval, the collaborative evaluation result is qualified;
[0061] When corresponding , that is, when the torsional shear strength corresponding to the compaction degree exceeds the reasonable interval, the collaborative evaluation result is over - compaction, is ;
[0062] When the corresponding time, that is, when the torsional shear strength corresponding to the compaction degree is lower than the reasonable range, the collaborative evaluation result is underpressure, for ;;
[0063] It should be noted that since step 102 also describes the establishment of C , τ , T and the mapping relationship database with pavement performance ( DS , DSR ), then based on , and , the corresponding DS and DSR can be found through the mapping relationship database, so as to understand the current pavement performance.
[0064] 104. Optimize the construction process parameters based on the collaborative evaluation result.
[0065] In this embodiment, when the collaborative evaluation result is underpressure or overpressure, the rolling speed adjustment amount and the vibration frequency adjustment amount are calculated; k and m are preset adjustment coefficients; is the torsional shear strength corresponding to each compaction degree on the compaction degree - torsional shear strength standard curve in the reasonable range database;
[0066] Through the rolling speed adjustment amount and the vibration frequency adjustment amount to adjust the rolling speed and vibration frequency during the construction process, and obtain ;
[0067] It should be noted that for the overpressure situation, in addition to adjusting the rolling speed and vibration frequency, it is also necessary to spray emulsified asphalt for repair.
[0068] According to the description of the embodiments shown above Figure 1 , after optimizing the construction process parameters of the construction process, the construction continues. When performing the final compaction stage of the asphalt, it is also possible to follow the principle of giving priority to mechanical properties. If , the compaction degree can be allowed to be relaxed to 95.5% - 97.0%, where is the median value of the reasonable range of the torsional shear strength; in the final compaction stage, by moderately reducing the compaction degree and fully considering the mechanical properties, the service performance of the asphalt pavement can be effectively improved, and at the same time, the aggregate crushing caused by over-compaction can be avoided.
[0069] It should be noted that for each percentage of compaction degree in step 101, 4 different rutting plate specimens are selected for shear property tests; in order to ensure the accurate mapping relationship and fluctuation range among the torsional shear strength, dynamic stability, and dynamic stability ratio, the data of torsional shear strength, dynamic stability, and dynamic stability in each group are derived from the same rutting plate specimen.
[0070] It should be noted that the measurement data of the compaction degree and the corresponding torsional shear strength in the dual-index real-time synchronous acquisition in step 102 should be from the same measurement area.
[0071] The beneficial effects achieved by the embodiments of the present invention are as follows:
[0072] By testing asphalt mixture specimens, a reasonable range database of compaction degree - torsional shear strength is established; during the construction process of the asphalt pavement, the measured compaction degree and measured torsional shear strength of the asphalt pavement are collected; the measured compaction degree corresponding to the measured torsional shear strength is compared with the reasonable range database to obtain a collaborative evaluation result; based on the collaborative evaluation result, the construction process parameters of the construction process are optimized. Combining the compaction degree and the torsional shear strength for collaborative evaluation breaks through the limitation of traditional single compaction degree evaluation, significantly improves the service performance of the pavement, reduces late-stage diseases, and significantly improves the construction quality qualification rate and detection efficiency, and is applicable to the intelligent construction quality control of asphalt pavements;
[0073] Introduce the mechanical index of torsional shear strength to construct a construction quality evaluation method for asphalt pavements with coordinated volume - mechanical dual indexes to improve the scientificity and accuracy of asphalt pavement compaction quality assessment; traditional methods mainly rely on the volume parameter of compaction degree to judge the density of the mixture, but it is difficult to reflect its internal skeleton structure and mechanical properties, especially in the case of over-compaction or under-compaction, it is difficult to accurately identify construction quality problems; it can not only evaluate the density of the mixture, but also monitor the skeleton stability and cohesion in real time to ensure that the compacted asphalt pavement is in the best state; compared with a single volume index, this method is more scientific and reasonable, provides accurate and reliable basis for compaction quality control, and ensures that the asphalt pavement has excellent durability and anti-deformation ability;
[0074] By synchronously measuring the compaction degree and torsional shear strength, real-time compaction quality monitoring during the construction process is realized, enabling the evaluation of construction quality to be extended from traditional post-construction inspection to precise assessment throughout the entire construction process. Traditional inspection methods lag behind the construction process. Construction units often can only obtain inspection results after compaction. If quality problems are found, it is difficult to remedy them. This invention breaks through this limitation. Through the collaborative evaluation of dual indicators, the compaction degree and torsional shear strength of the mixture are synchronously collected during the construction process to evaluate the compaction state in real time, providing reliable construction quality monitoring data, providing a scientific basis for optimizing construction parameters and quality control, ensuring that the construction quality meets the specification requirements, and effectively improving the long-term performance of asphalt pavements.
[0075] This invention not only realizes quality monitoring during the construction process but also dynamically optimizes the construction process based on real-time monitoring data, thereby achieving full-process quality control. Existing compaction quality evaluation methods (such as compaction degree detection, ground penetrating radar (GPR), falling weight deflectometer (FWD), and core sampling detection) all belong to post-construction inspection and cannot adjust construction parameters in real time, resulting in difficulty in timely identifying and optimizing the compaction process during construction. This invention adopts a volume-mechanics dual-index collaborative evaluation method to synchronously monitor the compaction degree and torsional shear strength of the mixture during the construction process, and combines the reasonable interval database of compaction degree - torsional shear strength and the corresponding evaluation rules established before construction to accurately identify quality problems and dynamically optimize key construction parameters such as the number of compaction passes, vibration frequency, and compaction speed. This method ensures the stability of construction quality, avoids quality defects caused by improper construction parameters, and thus improves the long-term performance and durability of asphalt pavements.
[0076] Introduce the torsional shear strength as a mechanical index to construct a volume-mechanics dual-index collaborative evaluation method, improving the scientificity, precision, and engineering applicability of construction compaction quality evaluation. Based on the existing non-destructive compaction degree detection process, add the measurement of torsional shear strength, enabling construction units to accurately judge the compaction state of asphalt pavements based on the collaborative analysis of dual indicators and dynamically optimize the construction process accordingly, including adjusting key parameters such as the number of compaction passes, vibration frequency, and compaction speed. Compared with traditional methods that only rely on volume indicators, this method not only improves the evaluation accuracy of compaction quality but also enables real-time feedback and dynamic control during the construction process, enhancing the pertinence and operability of construction guidance. Through the collaborative control of volume-mechanics dual indicators, this invention constructs a more precise and efficient construction quality evaluation system, and while maintaining the continuity of traditional methods, further improves its engineering applicability, with broad promotion value.
[0077] Combined with the evaluation method of pavement materials during the construction process with the collaboration of volume-mechanics indicators described in the above embodiments, the evaluation system of pavement materials during the construction process with the collaboration of volume-mechanics indicators will be described below through embodiments.
[0078] AsFigure 2 As shown in the figure, an evaluation system for pavement materials during the construction process with coordinated volume-mechanical indexes provided by an embodiment of the present invention includes:
[0079] A reasonable interval database establishment module 201, configured to establish a reasonable interval database of compaction degree-torsional shear strength by testing asphalt mixture specimens.
[0080] A data acquisition module 202, configured to collect the measured compaction degree and the measured torsional shear strength of the asphalt pavement during the construction process of the asphalt pavement.
[0081] A volume-mechanical dual-index coordinated evaluation module 203, configured to compare the measured torsional shear strength corresponding to the measured compaction degree with the reasonable interval database to obtain a coordinated evaluation result.
[0082] An optimization module 204, configured to optimize the construction process parameters of the construction process based on the coordinated evaluation result.
[0083] Combined with Figure 2 the embodiments shown, preferably, in some embodiments of the present invention,
[0084] The reasonable interval database establishment module 201 is specifically configured to form asphalt mixture specimens in the laboratory according to the construction mix ratio, control the test compaction degree at a preset percentage C to simulate the compaction state at different rolling stages; use a compaction shear property detection device to measure the test torsional shear strength of each group of asphalt mixture specimens at the corresponding test temperature T under the test torsional shear strength τ ; by statistically analyzing the test compaction degree C and the test torsional shear strength τ , it is determined that the reasonable interval expression of the torsional shear strength at each test compaction degree C is:
[0085] ;
[0086] wherein, is the standard value of the test torsional shear strength τ; is the standard deviation of the test torsional shear strength τ ; the coefficient of variation of the test torsional shear strength τ ; establish a reasonable interval database of compaction degree-torsional shear strength according to the reasonable interval expression. ;
[0087] Combined with Figure 2 the embodiments shown, preferably, in some embodiments of the present invention,
[0088] The volume-mechanical dual-index coordinated evaluation module 203 is specifically configured to use the measured compaction degree Corresponding measured torsional shear strength Compare with the reasonable range database; when corresponding When, that is, when the torsional shear strength corresponding to the degree of compaction is within the qualified range, the collaborative evaluation result is qualified; when corresponding When, that is, when the torsional shear strength corresponding to the degree of compaction exceeds the qualified range, the collaborative evaluation result is overpressure, is ; when corresponding When, that is, when the torsional shear strength corresponding to the degree of compaction is lower than the qualified range, the collaborative evaluation result is underpressure, is .
[0089] Combined with Figure 2 the embodiment shown, preferably, in some embodiments of the present invention,
[0090] The optimization module 204 is specifically configured to calculate the rolling speed adjustment amount and the vibration frequency adjustment amount when the collaborative evaluation result is underpressure or overpressure; k and m are preset adjustment coefficients; is the torsional shear strength corresponding to each degree of compaction on the compaction degree - torsional shear strength standard curve in the reasonable range database; the rolling speed and vibration frequency during the construction process are adjusted through the rolling speed adjustment amount and the vibration frequency adjustment amount .
[0091] Combined with Figure 2 the embodiment shown, preferably, in some embodiments of the present invention,
[0092] The data acquisition module 202 is specifically configured to, during the construction process of the asphalt pavement, obtain the measured compaction degree of the asphalt pavement during the construction process in real time through a nuclear - free density gauge; and measure the measured torsional shear strength and measured temperature of the asphalt pavement through a compaction shear property detection device.
[0093] The beneficial effects achieved by the present invention:
[0094] The reasonable interval database establishment module 201 establishes a reasonable interval database of compactness-torsional shear strength by testing asphalt mixture specimens; the data acquisition module 202 acquires the measured compactness and measured torsional shear strength of the asphalt pavement during the construction process of the asphalt pavement; the volume-mechanical double-index collaborative evaluation module 203 compares the measured torsional shear strength corresponding to the measured compactness with the reasonable interval database to obtain a collaborative evaluation result; the optimization module 204 optimizes the construction process parameters of the construction process based on the collaborative evaluation result. By combining the compactness and the torsional shear strength for collaborative evaluation, it breaks through the limitation of traditional single compactness evaluation, significantly improves the pavement service performance, reduces late-stage diseases, and significantly improves the construction quality qualification rate and detection efficiency, and is applicable to the intelligent construction quality control of asphalt pavements.
[0095] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0096] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of flows and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more of these flows Figure 1 or blocks or combinations of blocks.
[0097] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in Figure 1 one or more of these flows Figure 1 or blocks or combinations of blocks.
[0098] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are executed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions for implementing the steps specified in one process or multiple processes and / or blocks Figure 1 one process or multiple processes and / or blocks Figure 1 in one block or multiple blocks.
[0099] The above are only embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention are included within the scope of the claims of the present invention pending approval of the application.
Claims
1. A method for evaluating pavement materials during the construction process by coordinating volume-mechanical indexes, characterized in that, Including: By testing asphalt mixture specimens, establishing a reasonable interval database of compaction degree - torsional shear strength; During the construction process of the asphalt pavement, collecting the measured compaction degree and measured torsional shear strength of the asphalt pavement; Comparing the measured compaction degree corresponding to the measured torsional shear strength with the reasonable interval database to obtain a collaborative evaluation result; Based on the collaborative evaluation result, optimizing the construction process parameters of the construction process; The step of establishing a reasonable interval database of compaction degree - torsional shear strength by testing asphalt mixture specimens includes: In the laboratory, forming asphalt mixture specimens according to the construction mix ratio, controlling the test compaction degree C at a preset percentage to simulate the compaction state at different compaction stages; Using a compaction shear property detection device to measure the test torsional shear strength τ of each group of asphalt mixture specimens at the corresponding test temperature T; By statistically analyzing the test compaction degree C and the test torsional shear strength τ, determining the reasonable interval expression of the torsional shear strength at each test compaction degree C as: ; wherein, the is the standard value of the test torsional shear strength τ; the is the standard deviation of the test torsional shear strength τ; the coefficient of variation of the test torsional shear strength τ ; Establishing a reasonable interval database of compaction degree - torsional shear strength according to the reasonable interval expression.
2. The pavement material evaluation method for the construction process with coordinated volume-mechanical indexes according to claim 1, wherein The step of comparing the measured compaction degree corresponding to the measured torsional shear strength with the reasonable interval database to obtain a collaborative evaluation result includes: Compare the measured compaction degree with the corresponding measured torsional shear strength to the reasonable interval database; When the corresponding is obtained, the collaborative evaluation result is qualified; When the corresponding is the case, the collaborative evaluation result is overvoltage, and the is ; When the corresponding is such that, the collaborative evaluation result is undervoltage, and the is .
3. The pavement material evaluation method for the construction process with coordinated volume-mechanical indexes according to claim 2, characterized in that, The step of optimizing the construction process parameters of the construction process based on the collaborative evaluation result includes: When the collaborative evaluation result is undervoltage or overvoltage, the rolling speed adjustment amount is calculated and the vibration frequency adjustment amount ; the k and the m are preset adjustment coefficients; the is the torsional shear strength corresponding to each degree of compaction on the standard curve of compaction degree - torsional shear strength in the reasonable interval database; Adjust the rolling speed and vibration frequency during the construction process by the rolling speed adjustment amount and the vibration frequency adjustment amount .
4. The pavement material evaluation method during the construction process with coordinated volume-mechanical indexes according to claim 1, characterized in that The step of collecting the measured compaction degree and measured torsional shear strength of the asphalt pavement during the construction process of the asphalt pavement includes: During the construction process of the asphalt pavement, obtaining the measured compaction degree of the asphalt pavement during the construction process in real time through a nuclear-free density gauge; and measuring the measured torsional shear strength and measured temperature of the asphalt pavement through a compaction shear property detection device.
5. A pavement material evaluation system for the construction process with coordinated volume-mechanical indexes, characterized in that, Including: A reasonable interval database establishment module, used for establishing a reasonable interval database of compaction degree - torsional shear strength by testing asphalt mixture specimens; A data collection module, used for collecting the measured compaction degree and measured torsional shear strength of the asphalt pavement during the construction process of the asphalt pavement; A volume - mechanics dual-index collaborative evaluation module, used for comparing the measured compaction degree corresponding to the measured torsional shear strength with the reasonable interval database to obtain a collaborative evaluation result; An optimization module, used for optimizing the construction process parameters of the construction process based on the collaborative evaluation result; The reasonable interval database establishment module is specifically used for forming asphalt mixture specimens according to the construction mix ratio in the laboratory, controlling the test compaction degree C at a preset percentage to simulate the compaction state at different compaction stages; using a compaction shear property detection device to measure the test torsional shear strength τ of each group of asphalt mixture specimens at the corresponding test temperature T; by statistically analyzing the test compaction degree C and the test torsional shear strength τ, determining the reasonable interval expression of the torsional shear strength at each test compaction degree C as: ; Among them, the is the standard value of the test torsional shear strength τ; the is the standard deviation of the test torsional shear strength τ; the coefficient of variation of the test torsional shear strength τ ; A reasonable interval database of compaction degree - torsional shear strength is established according to the reasonable interval expression.
6. The pavement material evaluation system for the construction process with coordinated volume-mechanical indexes according to claim 5, characterized in that The volume-mechanics dual-index collaborative evaluation module is specifically used to compare the measured compaction degree corresponding to the measured torsional shear strength with the reasonable interval database; when the corresponding meets the requirement, the collaborative evaluation result is qualified; when the corresponding exceeds the requirement, the collaborative evaluation result is overpressure, and the is ; when the corresponding is lower than the requirement, the collaborative evaluation result is underpressure, and the is .
7. The pavement material evaluation system for the construction process with coordinated volume-mechanical indexes according to claim 6, wherein The optimization module is specifically configured to calculate the adjustment amount of the rolling speed when the collaborative evaluation result is undervoltage or overvoltage. And the adjustment amount of the vibration frequency ; where k and m are preset adjustment coefficients; the is the torsional shear strength corresponding to each degree of compaction on the standard curve of compaction degree - torsional shear strength in the reasonable interval database; through the adjustment amount of the rolling speed and the adjustment amount of the vibration frequency Adjust the rolling speed and vibration frequency during the construction process.
8. The pavement material evaluation system for the construction process with coordinated volume-mechanical indexes according to claim 5, characterized in that The acquisition module is specifically configured to, during the construction process of the asphalt pavement, obtain the measured compaction degree of the asphalt pavement during the construction process in real time through a nuclear-free density gauge; and measure the measured torsional shear strength and the measured temperature of the asphalt pavement through a compaction shear property detection device.