Method for detecting compactness of highway subgrade and pavement

By taking samples, adding water to stir, pounding and drying detection methods on mountain pavement slopes and soft-substrate pavement, wet density and moisture content are calculated, and the problem of deviation in the detection results in the prior art is solved, and accurate detection of road density is achieved.

CN119643243AInactive Publication Date: 2025-03-18JIANGSU ZHITONG ENG TECH CO LTD
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Patent Information

Application Number
CN202411774740.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-05
Publication Date
2025-03-18
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The prior art is difficult to effectively detect the density of mountain pavement slopes and soft-substrate pavement, resulting in deviations in the detection results and requires a lot of manual comparison and calculation.

Method used

A method for detecting the density of roadbed and road surfaces is provided. The road surface density is calculated by sampling at the inner and outer bend detection points, adding water to stirring, pounding and drying several times, thereby calculating the road surface density.

Benefits of technology

This method can effectively detect different locations on the near slopes of mountain roads and cliff sections, simplify the detection process, reduce manual calculations, improve detection comprehensiveness, and control the deviation of detection results.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the field of roads and bridges, and discloses a highway subgrade and pavement compactness detection method which comprises the following detection steps: S1, taking an inward bending detection point and an outward bending detection point of a mountain road, and respectively marking the inward bending detection point and the outward bending detection point as a punctuation point D1 and a punctuation point D2; s2, gravel sampling and weighing are conducted on the selected inner and outer bending detection points D1 and D2; s3, the gravel chips taken out from the point D1 and the point D2 are evenly divided into three parts to be weighed, water is added, stirring is conducted, and wet gravel soil is obtained; and S4, putting the wetted D1 point sample and D2 point sample with the same weight into a mold. According to the highway subgrade and pavement compactness detection method, comprehensive detection work can be effectively carried out on different positions of a near-slope road section and an adjacent-cliff road section of a mountain road in the subgrade compactness division point detection process, calculation can be carried out according to the thickness of asphalt laid on the surface of the pavement, the detection comprehensiveness is high, and the detection accuracy is high. And the deviation of the detection result can be controlled within a reasonable range compared with the error of the conventional detection method.
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Description

Technical Field

[0001] The invention relates to the field of roads and bridges, and in particular to a method for detecting the compactness of a highway subgrade and a road surface. Background Art

[0002] There are many methods for measuring compaction of highway roadbed construction, such as sand filling method, water filling method, knife ring method, nuclear instrument method and core drilling method. The most commonly used method is pit digging and sand filling method. However, in the process of pit digging and sand filling method, the detection of mountain road slopes and soft foundation road surfaces lacks specificity. In the actual detection process, it is very likely that the test results will be biased due to the different slope densities.

[0003] The deviations generated during the detection process require staff to conduct a large number of detection value comparisons and calculations to obtain the final density. At the same time, the deviation of the values ​​may also cause different densities of the road surface. Therefore, a detection method that can simultaneously detect the slope pavement and roadbed is needed to solve the above problems. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides a method for detecting the compactness of a highway subgrade and a road surface, which has the advantages of simultaneous detection of the subgrade and the road surface, and solves the problems in the above-mentioned background technology.

[0006] (II) Technical solution

[0007] In order to achieve the purpose of simultaneous detection of roadbed and road surface, the present invention provides the following technical solution: a method for detecting the compactness of roadbed and road surface, comprising the following detection steps:

[0008] S1: Take the inner bend detection point and the outer bend detection point of the mountain road, and record them as point D1 and point D2 respectively;

[0009] S2: sampling and weighing the gravel at the selected inner and outer bend detection points D1 and D2;

[0010] S3: Divide the gravel chips taken from points D1 and D2 into three parts, weigh them, add water and stir to obtain moist gravel soil;

[0011] S4: Take the wetted sample at point D1 and the sample at point D2 of the same weight and put them into the mold;

[0012] S5: pounding the wet gravel soil at point D1 and the wet gravel soil at point D2 for multiple times and multiple layers;

[0013] S6: Take the same weight of the wet gravel soil at point D1 and the wet gravel soil at point D2 after hammering and put them into an oven to dry for 30 minutes;

[0014] S7: weighing the dried gravel soil at point D1 and the dried gravel soil at point D2 again;

[0015] S8: Calculate the weighed parameters to obtain the wet density values ​​of point D1 and point D2;

[0016] S9: Calculate the wet density value and water content of point D2 and point D2 to obtain the pavement density.

[0017] Preferably, in the steps S4 and S5, during the process of piling and pounding the soil, the number of piling is three times, and the height of each piling is 5 cm, and each piling corresponds to one pounding.

[0018] Preferably, each beating should be performed more than 25 times to ensure the verticality of the beating, and the weight of the hammer for beating is 2.5 kg, and the hammer drop distance is controlled within 30±5 cm.

[0019] Preferably, the ratio of the weight of water added to the gravel soil in step S3 should be 1:6.8.

[0020] Preferably, the wet density calculation formula in step S8 is:

[0021]

[0022] in:

[0023] S is the wet density;

[0024] Z is the mass of point D1 or D2;

[0025] M is the mold volume;

[0026] The water content calculation formula in step S8 is:

[0027]

[0028] in:

[0029] H is the water content;

[0030] W is the wet sample mass;

[0031] G is the dry sample mass.

[0032] Preferably, the calculation formula for the road surface density in step S9 is:

[0033]

[0034] in:

[0035] L is the road surface density;

[0036] a is the asphalt paving height.

[0037] (III) Beneficial effects

[0038] Compared with the prior art, the present invention provides a method for detecting the compactness of a highway subgrade and a road surface, which has the following beneficial effects:

[0039] The method for detecting the compactness of the roadbed and pavement of a highway can effectively carry out comprehensive detection work on different positions of the near-slope section and the cliff section of a mountain road through the point-by-point detection process of the roadbed density. After the detection, the compactness of the pavement can be calculated according to the overall parameters of the roadbed, eliminating the complicated detection steps caused by the different properties of the roadbed and pavement materials. The thickness of the asphalt laid on the pavement surface can be calculated. The detection is more comprehensive, and the deviation of the detection result can be controlled within a reasonable range compared with the error of the conventional detection method. DETAILED DESCRIPTION

[0040] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Example 1

[0042] A preferred embodiment of a method for detecting the compactness of a highway subgrade and a road surface provided by the present invention is as follows: A method for detecting the compactness of a highway subgrade and a road surface comprises the following detection steps:

[0043] S1: Take the inner bend detection point and the outer bend detection point of the mountain road, and record them as point D1 and point D2 respectively;

[0044] S2: sampling and weighing the gravel at the selected inner and outer bend detection points D1 and D2;

[0045] S3: Divide the gravel chips taken from points D1 and D2 into three parts, weigh them, add water and stir to obtain moist gravel soil;

[0046] S4: Take the wetted sample at point D1 and the sample at point D2 of the same weight and put them into the mold;

[0047] S5: pounding the wet gravel soil at point D1 and the wet gravel soil at point D2 for multiple times and multiple layers;

[0048] S6: Put the wet gravel soil at point D1 and the wet gravel soil at point D2 in the same weight into an oven and dry for 30 minutes;

[0049] S7: weighing the dried gravel soil at point D1 and the dried gravel soil at point D2 again;

[0050] S8: Calculate the weighed parameters to obtain the wet density values ​​of point D1 and point D2;

[0051] S9: Calculate the wet density value and water content of point D2 and point D2 to obtain the pavement density.

[0052] In this embodiment, in steps S4 and S5, during the process of piling and pounding, the piling is performed three times, and the height of each piling is 5 cm, and each piling corresponds to one pounding.

[0053] Example 2

[0054] On the basis of Example 1, a preferred embodiment of a method for detecting the compactness of a highway subgrade and pavement provided by the present invention is as follows: each hammering should be performed more than 25 times to ensure the verticality of the hammering, and the weight of the hammer for hammering is 2.5 kg, and the hammer drop distance is controlled within 30±5 cm.

[0055] In this embodiment, the ratio of the weight of water added to the gravel soil in step S3 should be 1:6.8.

[0056] Furthermore, the wet density calculation formula in step S8 is:

[0057]

[0058] in:

[0059] S is the wet density;

[0060] Z is the mass of point D1 or D2;

[0061] M is the mold volume;

[0062] The water content calculation formula in step S8 is:

[0063]

[0064] in:

[0065] H is the water content;

[0066] W is the wet sample mass;

[0067] G is the dry sample mass.

[0068] By testing the moisture content of the roadbed, it can be ensured that the measured parameters are still valid under normal conditions, thus ensuring the authenticity of the parameters.

[0069] Furthermore, the calculation formula for the road surface density in step S9 is:

[0070]

[0071] in:

[0072] L is the road surface density;

[0073] a is the asphalt paving height.

[0074] By substituting the thickness and density of the asphalt pavement, the data obtained from the pavement inspection can be used as a basis. Compared with separate inspections, this inspection method can effectively avoid the problem of settlement, cracks or deformation caused by insufficient bearing capacity of the roadbed when a higher-strength pavement is laid on a lower-strength roadbed, effectively solving the inspection problems in the early and late stages of construction.

[0075] In summary, the method for detecting the compactness of highway roadbed and pavement can effectively carry out comprehensive detection of different positions of the near-slope sections and cliff sections of mountain roads through the point-by-point detection of the roadbed density. It can also estimate the thickness of the asphalt laid on the road surface. The detection is highly comprehensive, and the deviation of the detection results can be controlled within a reasonable range compared with the conventional detection method.

[0076] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0077] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for detecting the compactness of a highway subgrade and pavement, characterized in that: The following detection steps are included: S1: Take the inner bend detection point and the outer bend detection point of the mountain road, and record them as point D1 and point D2 respectively; S2: sampling and weighing the gravel at the selected inner and outer bend detection points D1 and D2; S3: Divide the gravel chips taken from points D1 and D2 into three parts, weigh them, add water and stir to obtain moist gravel soil; S4: Take the wetted sample at point D1 and the sample at point D2 of the same weight and put them into the mold; S5: pounding the wet gravel soil at point D1 and the wet gravel soil at point D2 for multiple times and multiple layers; S6: Take the same weight of the wet gravel soil at point D1 and the wet gravel soil at point D2 after hammering and put them into an oven to dry for 30 minutes; S7: weighing the dried gravel soil at point D1 and the dried gravel soil at point D2 again; S8: Calculate the weighed parameters to obtain the wet density values ​​of point D1 and point D2; S9: Calculate the wet density value and water content of point D2 and point D2 to obtain the pavement density.

2. A method for detecting the compactness of a highway subgrade and pavement according to claim 1, characterized in that: In the steps S4 and S5, during the process of piling and pounding, the piling is performed three times, and the height of each piling is 5 cm, and each piling corresponds to one pounding.

3. A method for detecting the compactness of a highway subgrade and pavement according to claim 2, characterized in that: Each hammering should be performed more than 25 times to ensure the verticality of the hammering, and the weight of the hammer for hammering is 2.5kg, and the hammer drop distance is controlled within 30±5cm.

4. A method for detecting the compactness of a highway subgrade and pavement according to claim 1, characterized in that: The ratio of the weight of water added to the crushed stone soil in step S3 should be 1:6.

8.

5. A method for detecting the compactness of a highway subgrade and pavement according to claim 1, characterized in that: The wet density calculation formula in step S8 is: in: S is the wet density; Z is the mass of point D1 or D2; M is the mold volume; The water content calculation formula in step S8 is: in: H is the water content; W is the wet sample mass; G is the dry sample mass.

6. A method for detecting the compactness of a highway subgrade and pavement according to claim 1, characterized in that: The calculation formula for the road surface density in step S9 is: in: L is the road surface density; a is the asphalt paving height.

Citation Information

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