Roadbed compaction vibration parameter calculation method and device based on indoor compaction test

Abstract

The invention provides a roadbed compaction vibration parameter calculation method and device based on an indoor compaction test, and relates to the technical field of roadbed rolling, and the method comprises the steps: obtaining a filler used in a roadbed site, and carrying out an indoor compaction test by using the filler to determine the optimal compaction work corresponding to the filler with a preset water content; calculating strong vibration compaction energy and weak vibration compaction energy output by the vibratory roller according to the preset loose laying thickness of the filler and the preset compaction speed of the vibratory roller; the maximum strong vibration compaction times and the maximum weak vibration compaction times required by the optimal compaction work are calculated respectively, a plurality of strong and weak vibration working condition combinations are planned, the dynamic deformation modulus of each strong and weak vibration working condition combination is calculated in sequence, and the optimal strong and weak vibration working condition combination closest to the target dynamic deformation modulus is obtained. According to the method, the compaction work, the water content and the input energy of the vibratory roller are combined, so that accurate pre-planning of the vibration parameters is realized, the construction process is optimized, and the compaction efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of roadbed rolling, and in particular to a method and a device for calculating roadbed compaction vibration parameters based on an indoor compaction test. Background Art

[0002] As the foundation of the road surface, the roadbed bears the traffic loads transmitted from the road surface and transfers them to the foundation. Its stability ensures the safety and smooth flow of road traffic. The roadbed filler and construction process have a very critical impact on the compaction of the roadbed, especially the impact of the number of compaction passes. Both over-pressure and under-pressure will cause the density of the roadbed filler to fail to meet the requirements of the specifications. Currently, the planning of roadbed compaction vibration parameters is generally derived through theoretical derivation, numerical simulation, and empirical methods. The considerations are relatively simple and do not take into account the impact of changes in roller model, moisture content, and compaction work on vibration parameters. It cannot perfectly reflect the properties of the actual filler, and the results are therefore less than ideal. Summary of the Invention

[0003] The purpose of the present invention is to provide a method and device for calculating roadbed compaction vibration parameters based on indoor compaction tests to improve the above-mentioned problems. To achieve the above-mentioned purpose, the technical solutions adopted by the present invention are as follows:

[0004] In a first aspect, the present application provides a method for calculating roadbed compaction vibration parameters based on an indoor compaction test, comprising:

[0005] Obtaining filler material used at the roadbed site and conducting indoor compaction tests using the filler material to determine the optimal compaction work corresponding to the filler material with a preset moisture content;

[0006] The strong vibration compaction energy and weak vibration compaction energy output by the vibratory roller are calculated based on the preset loose paving thickness of the filler and the preset compaction speed of the vibratory roller;

[0007] Based on the strong vibration compaction energy and the weak vibration compaction energy, respectively, a maximum number of strong vibration compaction times and a maximum number of weak vibration compaction times required for the optimal compaction work are calculated;

[0008] Using the maximum number of strong vibration compaction times and the maximum number of weak vibration compaction times, a plurality of strong and weak vibration working condition combinations are planned, and the dynamic deformation modulus of each strong and weak vibration working condition combination is calculated in turn;

[0009] The dynamic deformation modulus of each strong and weak vibration working condition combination is compared with the target dynamic deformation modulus to obtain the optimal strong and weak vibration working condition combination that is closest to the target dynamic deformation modulus.

[0010] In a second aspect, the present application further provides a device for calculating roadbed compaction vibration parameters based on an indoor compaction test, comprising:

[0011] Filler acquisition module: obtains the filler used on the roadbed site and conducts indoor compaction tests using the filler to determine the optimal compaction work corresponding to the filler with a preset moisture content;

[0012] Energy calculation module: calculates the strong vibration compaction energy and weak vibration compaction energy output by the vibratory roller based on the preset loose paving thickness of the filler and the preset compaction speed of the vibratory roller;

[0013] Compaction times calculation module: based on the strong vibration compaction energy and the weak vibration compaction energy, respectively calculates the maximum strong vibration compaction times and the maximum weak vibration compaction times required for the optimal compaction work;

[0014] Working condition combination planning module: using the maximum strong vibration compaction times and the maximum weak vibration compaction times to plan multiple strong and weak vibration working condition combinations, and calculating the dynamic deformation modulus of each strong and weak vibration working condition combination in turn;

[0015] Optimization comparison module: compares the dynamic deformation modulus of each strong and weak vibration working condition combination with the target dynamic deformation modulus to obtain the optimal strong and weak vibration working condition combination that is closest to the target dynamic deformation modulus.

[0016] In a third aspect, the present application further provides a device for calculating roadbed compaction vibration parameters based on an indoor compaction test, comprising:

[0017] Memory for storing computer programs;

[0018] A processor is used to implement the steps of the method for calculating roadbed compaction vibration parameters based on indoor compaction tests when executing the computer program.

[0019] In a fourth aspect, the present application further provides a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-mentioned method for calculating roadbed compaction vibration parameters based on indoor compaction tests.

[0020] The beneficial effects of the present invention are:

[0021] The present invention achieves precise pre-planning of compaction vibration parameters by combining the compaction work, moisture content and input energy of the vibratory roller, thereby optimizing the construction process and improving the compaction efficiency. This method allows the parameters of the vibratory roller to be flexibly changed to adapt to different types of fillers, enhancing the adaptability and versatility of the construction. In addition, through the pre-input energy, the method can calculate the deformation of the roadbed and use the dynamic deformation modulus to accurately judge the compaction degree of the roadbed, ensuring that the construction quality meets the design standards. In summary, this method improves the scientificity and accuracy of roadbed compaction operations, and has significant promotion value in modern road construction.

[0022] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the embodiments of the present invention. The purposes and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0024] Figure 1 Schematic diagram of the flow of a method for calculating roadbed compaction vibration parameters based on an indoor compaction test according to an embodiment of the present invention;

[0025] Figure 2 is a graph showing moisture content and dry density as described in an embodiment of the present invention;

[0026] Figure 3 Schematic diagram of the structure of a device for calculating roadbed compaction vibration parameters based on indoor compaction tests according to an embodiment of the present invention;

[0027] Figure 4 Schematic diagram of the structure of the equipment for calculating roadbed compaction vibration parameters based on indoor compaction test according to an embodiment of the present invention.

[0028] Markings in the figure:

[0029] 800. Equipment for calculating roadbed compaction vibration parameters based on indoor compaction test; 801. Processor; 802. Memory; 803. Multimedia component; 804. I / O interface; 805. Communication component. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0031] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are used only to distinguish the description and should not be understood as indicating or implying relative importance.

[0032] Example 1:

[0033] This embodiment provides a method for calculating roadbed compaction vibration parameters based on indoor compaction tests.

[0034] See also Figure 1 , the figure shows that the method includes:

[0035] S1. Obtain the filler used on the roadbed site and conduct indoor compaction tests using the filler to determine the optimal compaction work corresponding to the preset moisture content of the filler;

[0036] In this embodiment, when selecting the original filler, the original structure and natural moisture content of the soil sample should be maintained, and the soil sample should not be disturbed. If disturbed soil is used, the topsoil should be removed first, and then the samples should be taken in layers using the quartering method.

[0037] Specifically, step S1 includes:

[0038] S11. Set multiple groups of compaction times and various moisture contents of fillers, and conduct orthogonal experiments using multiple groups of compaction times and various moisture contents of fillers;

[0039] In this embodiment, the set compaction times are 78 times, 88 times, 98 times, 108 times and 118 times, and the set moisture content is 2%, 4%, 6%, 8% and 10%. Therefore, 25 groups of indoor compaction tests are carried out according to the above settings.

[0040] Specifically, the instruments used for the indoor compaction test include a compactor, a test cylinder, and a pad. The diameter of the hammer bottom of the compactor is 5 cm, the weight of the hammer is 4.5 kg, and the drop height is 45 cm. The inner diameter of the test cylinder is 15.2 cm and the height is 17 cm. The height of the sample made of filler is 12 cm and the volume is 2177 cm. 3 ;

[0041] During the test, the pad is first placed on the bottom plate of the cylinder, and about 1800g of filler is weighed each time and added to the test cylinder. After each layer of filler is added, the filler is compacted using a compactor according to the preset compaction times.

[0042] S12 obtains the dry density of each moisture content filler at different compaction times, and the compaction times corresponding to the maximum dry density is used as the optimal compaction times for the current moisture content filler;

[0043] Through the results of the orthogonal test, the relationship curve between dry density and moisture content is drawn with dry density as the ordinate and moisture content as the abscissa. The ordinate and abscissa of the peak point on the curve are the maximum dry density and the optimal moisture content respectively. Figure 2 As shown in the figure, the peak of the broken line is the maximum dry density. It can be seen that under the condition of 2%-10% moisture content, the optimal compaction times of the filler are 98, 118, 88, 98, and 108.

[0044] S13 obtains compaction parameters, and calculates the optimal compaction work corresponding to each moisture content of the filler using the compaction parameters and the optimal compaction times;

[0045]

[0046] Where, E h is the compaction work per unit volume of soil (kJ / m 3 );m k is the mass of the compacting hammer, g is the acceleration due to gravity, h1 is the drop height of the compacting hammer, N1 is the number of compaction layers, N2 is the number of compaction times per layer, and V is the volume of the compacted packing, i.e., the volume of the test cylinder. During layered compaction, energy transfer to the next layer is not considered. When the test achieves the required degree of compaction, the corresponding compaction work can be calculated using the compaction parameters and the number of compaction times.

[0047] In this embodiment, taking a moisture content of 6% as an example, the corresponding optimal compaction work is calculated as:

[0048]

[0049] Based on the above embodiment, the method further includes:

[0050] S2. Calculating the strong vibration compaction energy and weak vibration compaction energy output by the vibratory roller based on the preset loose thickness of the filler and the preset compaction speed of the vibratory roller;

[0051] Specifically, step S2 includes:

[0052] S21 obtains the preset loose thickness of the filler and the preset compaction speed of the vibratory roller;

[0053] Specifically, according to the "Indoor Compaction Test" specification, the preset loose thickness h of the filler is 40 cm, and the preset compaction speed of the vibratory roller is 3 km / h. The vibratory roller used in this embodiment is an SSR330c-6 roller;

[0054] S22. Obtain strong vibration parameters and weak vibration parameters of the vibratory roller, as shown in Table 1;

[0055] Table 1

[0056]

[0057]

[0058] S23. Calculate the vibratory compaction energy output by the vibratory roller using the vibratory roller's strong vibration parameters, the preset loose paving thickness, and the preset compaction speed;

[0059] Specifically, the calculation method of the compaction energy output by the vibratory roller is as follows:

[0060]

[0061] Where η is the vibration rolling overlap coefficient in the width direction of the vibration wheel, which is usually the vibration wheel width with a rolling wheel track overlap width of 1 / 4, and η = 1 + 0.25 = 1.25; A0 is the nominal amplitude (mm); f is the vibration frequency (Hz); n is the number of compaction passes; K p is the vibration rotation coefficient, W z is the weight of the vibrating wheel (kN); F0 is the exciting force (kN); v is the speed of the vibrating roller (km / h); B is the width of the vibrating wheel (cm); h is the loose paving thickness of each layer (cm).

[0062] Substituting the strong vibration parameters of the vibratory roller into formula (2), the strong vibration compaction energy E1 output by the vibratory roller can be calculated as:

[0063]

[0064] S24. Calculate the weak vibration compaction energy output by the vibratory roller using the weak vibration parameters of the vibratory roller, the preset loose paving thickness, and the preset compaction speed;

[0065] Substituting the weak vibration parameters of the vibratory roller into formula (2), the weak vibration compaction energy E2 output by the vibratory roller can be calculated as:

[0066]

[0067] Based on the above embodiment, the method further includes:

[0068] S3. Calculating the maximum number of strong vibration compaction times and the maximum number of weak vibration compaction times required for the optimal compaction work based on the strong vibration compaction energy and the weak vibration compaction energy respectively;

[0069] In this embodiment, taking a water content of 6% as an example, the maximum number of strong vibration compaction times a1 and the maximum number of weak vibration compaction times a2 required for the optimal compaction work are:

[0070]

[0071] That is, the number of strong vibration compaction times required is 8 times, and the number of weak vibration compaction times required is 17 times.

[0072] Based on the above embodiment, the method further includes:

[0073] S4. Using the maximum number of strong vibration compaction times and the maximum number of weak vibration compaction times to plan multiple strong and weak vibration working condition combinations, and sequentially calculate the dynamic deformation modulus of each strong and weak vibration working condition combination;

[0074] Specifically, step S4 includes:

[0075] S41. Determine the value range of the strong vibration compaction times according to the maximum strong vibration compaction times;

[0076] S42. Select the number of strong vibration compaction times from the range of strong vibration compaction times;

[0077] S43. The first compaction energy is calculated using the number of strong vibration compaction times and the strong vibration parameters of the vibratory roller;

[0078] S44. Calculate the difference between the optimal compaction work and the first compaction energy to obtain a second compaction energy;

[0079] S45. Calculating the number of weak vibration compactions based on the second compaction energy and the weak vibration parameters of the vibratory roller;

[0080] S46. A combination of strong and weak vibration conditions is obtained by selecting the number of strong vibration compaction times and calculating the number of weak vibration compaction times. Specifically, a strong and weak vibration condition planning table is shown in Table 2;

[0081] Table 2

[0082] Strong vibration times 0 1 2 3 4 5 6 7 8 Weak vibration times 17 14 12 10 8 6 4 2 0

[0083] Based on the above embodiment, the method further includes:

[0084] S5. Compare the dynamic deformation modulus of each strong and weak vibration working condition combination with the target dynamic deformation modulus to obtain the optimal strong and weak vibration working condition combination that is closest to the target dynamic deformation modulus;

[0085] Specifically, step S5 includes:

[0086] S51. Obtain the number of strong vibration compaction times and weak vibration compaction times under the combination of strong and weak vibration working conditions;

[0087] S52. Calculate the deformation δ using the strong vibration compaction times and the weak vibration compaction times:

[0088]

[0089] Where a1 represents the number of strong vibration rolling, and a2 represents the number of weak vibration rolling.

[0090] S53. The dynamic deformation modulus is calculated using the compaction detection method and the deformation amount:

[0091] E s =1.5rσ / δ; (9)

[0092] Where, E s represents the dynamic deformation modulus, r represents the radius of the circular rigid bearing plate, σ is the calculation parameter, σ=0.1MPa;

[0093] The dynamic deformation modulus of each strong and weak vibration condition combination is compared with the target dynamic deformation modulus E in turn. z Compare and determine the optimal combination of strong and weak vibration conditions;

[0094] Based on the above embodiment, the method further includes:

[0095] S6. Utilize the optimal combination of strong and weak vibration conditions and loose paving thickness to construct a calculation model:

[0096]

[0097] S7. Obtain the actual loose thickness of the filler during the actual construction process;

[0098] S8. Substituting the actual loose paving thickness into the compaction speed calculation model to calculate the compaction speed corresponding to the actual loose paving thickness;

[0099] In this embodiment, since the loose laying thickness is set according to the actual situation during the actual construction process, the relationship between the loose laying thickness and the compaction speed can be constructed by determining the optimal combination of strong and weak vibration conditions, thereby determining the actual compaction speed.

[0100] Example 2:

[0101] like Figure 3 As shown, this embodiment provides a device for calculating roadbed compaction vibration parameters based on indoor compaction tests, the device comprising:

[0102] Filler acquisition module: obtains the filler used on the roadbed site and conducts indoor compaction tests using the filler to determine the optimal compaction work corresponding to the filler with a preset moisture content;

[0103] Energy calculation module: calculates the strong vibration compaction energy and weak vibration compaction energy output by the vibratory roller based on the preset loose paving thickness of the filler and the preset compaction speed of the vibratory roller;

[0104] Compaction times calculation module: based on the strong vibration compaction energy and the weak vibration compaction energy, respectively calculates the maximum strong vibration compaction times and the maximum weak vibration compaction times required for the optimal compaction work;

[0105] Working condition combination planning module: using the maximum strong vibration compaction times and the maximum weak vibration compaction times to plan multiple strong and weak vibration working condition combinations, and calculating the dynamic deformation modulus of each strong and weak vibration working condition combination in turn;

[0106] Optimization comparison module: compares the dynamic deformation modulus of each strong and weak vibration working condition combination with the target dynamic deformation modulus to obtain the optimal strong and weak vibration working condition combination that is closest to the target dynamic deformation modulus.

[0107] Based on the above embodiment, the filler acquisition module includes:

[0108] Orthogonal test unit: set multiple groups of compaction times and fillers with various moisture contents, and use multiple groups of compaction times and fillers with various moisture contents to conduct orthogonal tests;

[0109] Dry density acquisition unit: obtains the dry density of fillers with each moisture content at different compaction times, and takes the compaction times corresponding to the maximum dry density as the optimal compaction times for the filler with the current moisture content;

[0110] Compaction parameter calculation unit: obtains compaction parameters, and uses compaction parameters and optimal compaction times to calculate the optimal compaction work corresponding to fillers of each moisture content.

[0111] Based on the above embodiment, the energy calculation module includes:

[0112] Loose paving thickness acquisition unit: acquires the preset loose paving thickness of the filler and the preset compaction speed of the vibratory roller;

[0113] Compaction speed acquisition unit: obtains strong vibration parameters and weak vibration parameters of the vibratory roller;

[0114] Strong vibration energy calculation unit: uses the strong vibration parameters of the vibratory roller, the preset loose paving thickness and the preset compaction speed to calculate the strong vibration compaction energy output by the vibratory roller;

[0115] Weak vibration energy calculation unit: uses the weak vibration parameters of the vibratory roller, the preset loose paving thickness and the preset compaction speed to calculate the weak vibration compaction energy output by the vibratory roller.

[0116] Based on the above embodiment, the compaction times calculation module includes:

[0117] Strong vibration times determination unit: determines the value range of strong vibration compaction times according to the maximum strong vibration compaction times;

[0118] Strong vibration times selection unit: selects the strong vibration compaction times from the value range of the strong vibration compaction times in turn;

[0119] Compaction energy calculation unit: calculates the first compaction energy using the number of strong vibration compaction times and the strong vibration parameters of the vibratory roller;

[0120] Calculating the difference between the optimal compaction work and the first compaction energy to obtain a second compaction energy;

[0121] A difference calculation unit is configured to calculate the number of weak vibration compaction times based on the second compaction energy and a weak vibration parameter of the vibratory roller;

[0122] Working condition combination determination unit: the strong vibration and weak vibration working condition combination is obtained by the selected strong vibration compaction times and the calculated weak vibration compaction times.

[0123] Based on the above embodiment, the working condition combination planning module includes:

[0124] Deformation calculation unit: obtains the number of strong vibration compaction times and the number of weak vibration compaction times under the combination of strong and weak vibration working conditions; calculates the deformation amount using the number of strong vibration compaction times and the number of weak vibration compaction times;

[0125] Deformation calculation unit: a dynamic deformation modulus is obtained by using a compaction detection method and the deformation calculation.

[0126] Based on the above embodiment, after the optimization comparison module, the following is further included:

[0127] Speed ​​calculation module: constructing a compaction speed calculation model using the optimal combination of strong and weak vibration conditions and loose paving thickness;

[0128] Actual loose paving thickness acquisition module: obtains the actual loose paving thickness of filler during the actual construction process;

[0129] Compaction speed output module: Substitute the actual loose paving thickness into the compaction speed calculation model to calculate the compaction speed corresponding to the actual loose paving thickness.

[0130] It should be noted that, regarding the apparatus in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated on here.

[0131] Example 3:

[0132] Corresponding to the above method embodiment, this embodiment also provides a roadbed compaction vibration parameter calculation device based on indoor compaction test. The roadbed compaction vibration parameter calculation device based on indoor compaction test described below and the roadbed compaction vibration parameter calculation method based on indoor compaction test described above can be referenced to each other.

[0133] Figure 4 FIG. 8 is a block diagram of a roadbed compaction vibration parameter calculation device 800 based on an indoor compaction test according to an exemplary embodiment. Figure 4 As shown, the device 800 for calculating vibration parameters of roadbed compaction based on indoor compaction tests may include: a processor 801 and a memory 802. The device 800 for calculating vibration parameters of roadbed compaction based on indoor compaction tests may also include one or more of a multimedia component 803, an I / O interface 804, and a communication component 805.

[0134] The processor 801 is used to control the overall operation of the device 800 for calculating roadbed compaction vibration parameters based on an indoor compaction test, so as to complete all or part of the steps in the method for calculating roadbed compaction vibration parameters based on an indoor compaction test. The memory 802 is used to store various types of data to support the operation of the device 800 for calculating roadbed compaction vibration parameters based on an indoor compaction test. Such data may include, for example, instructions for any application or method operating on the device 800, as well as application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 802 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 802 or transmitted via the communication component 805. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 804 provides an interface between the processor 801 and other interface modules, and the above-mentioned other interface modules can be a keyboard, a mouse, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the roadbed compaction vibration parameter calculation device 800 based on indoor compaction test and other devices. Wireless communication, such as Wi-Fi, Bluetooth, near field communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 805 can include: Wi-Fi module, Bluetooth module, NFC module.

[0135] In an exemplary embodiment, the roadbed compaction vibration parameter calculation device 800 based on indoor compaction test can be implemented by one or more application-specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned roadbed compaction vibration parameter calculation method based on indoor compaction test.

[0136] In another exemplary embodiment, a computer-readable storage medium including program instructions is further provided. When executed by a processor, the program instructions implement the steps of the aforementioned method for calculating roadbed compaction vibration parameters based on an indoor compaction test. For example, the computer-readable storage medium may be the aforementioned memory 802 including the program instructions. The aforementioned program instructions may be executed by the processor 801 of the device 800 for calculating roadbed compaction vibration parameters based on an indoor compaction test to implement the aforementioned method for calculating roadbed compaction vibration parameters based on an indoor compaction test.

[0137] Example 4:

[0138] Corresponding to the above method embodiment, a readable storage medium is also provided in this embodiment. The readable storage medium described below and the method for calculating roadbed compaction vibration parameters based on indoor compaction test described above can refer to each other.

[0139] A readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for calculating roadbed compaction vibration parameters based on indoor compaction tests in the above-mentioned method embodiment.

[0140] The readable storage medium may specifically be any readable storage medium that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0141] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

[0142] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A method for calculating roadbed compaction vibration parameters based on indoor compaction tests, characterized in that: include: Obtaining filler material used at the roadbed site and conducting indoor compaction tests using the filler material to determine the optimal compaction work corresponding to the filler material with a preset moisture content; The strong vibration compaction energy and weak vibration compaction energy output by the vibratory roller are calculated based on the preset loose paving thickness of the filler and the preset compaction speed of the vibratory roller; Based on the strong vibration compaction energy and the weak vibration compaction energy, respectively, a maximum number of strong vibration compaction times and a maximum number of weak vibration compaction times required for the optimal compaction work are calculated; Using the maximum number of strong vibration compaction times and the maximum number of weak vibration compaction times, a plurality of strong and weak vibration working condition combinations are planned, and the dynamic deformation modulus of each strong and weak vibration working condition combination is calculated in turn; The dynamic deformation modulus of each strong and weak vibration working condition combination is compared with the target dynamic deformation modulus to obtain the optimal strong and weak vibration working condition combination that is closest to the target dynamic deformation modulus.

2. The method for calculating roadbed compaction vibration parameters based on indoor compaction test according to claim 1 is characterized in that , using the filler to carry out indoor compaction tests to determine the optimal compaction work corresponding to the filler with a preset moisture content, including: Set multiple groups of compaction times and fillers with various moisture contents, and use these multiple groups of compaction times and fillers with various moisture contents to conduct orthogonal experiments; Obtain the dry density of fillers with each moisture content at different compaction times, and take the compaction times corresponding to the maximum dry density as the optimal compaction times for the filler with the current moisture content; The compaction parameters are obtained, and the optimal compaction work corresponding to each moisture content filler is calculated using the compaction parameters and the optimal compaction times.

3. The method for calculating roadbed compaction vibration parameters based on indoor compaction test according to claim 1 is characterized in that , the strong vibration compaction energy and weak vibration compaction energy output by the vibratory roller are calculated based on the preset loose paving thickness of the filler and the preset compaction speed of the vibratory roller, including: Obtaining a preset loose-laying thickness of fill material and a preset compaction speed of a vibratory roller; Obtain strong vibration parameters and weak vibration parameters of the vibratory roller; The strong vibration compaction energy output by the vibratory roller is calculated using the strong vibration parameters of the vibratory roller, the preset loose paving thickness and the preset compaction speed; The weak vibration compaction energy output by the vibratory roller is calculated using the weak vibration parameters of the vibratory roller, the preset loose paving thickness and the preset compaction speed.

4. The method for calculating roadbed compaction vibration parameters based on indoor compaction test according to claim 3 is characterized in that , using the maximum strong vibration compaction times and the maximum weak vibration compaction times, multiple strong and weak vibration working condition combinations are planned, including: Determine the value range of strong vibration compaction times according to the maximum strong vibration compaction times; Select the number of strong vibration compaction times from the value range of the number of strong vibration compaction times in turn; A first compaction energy is calculated using the number of strong vibration compaction times and a strong vibration parameter of the vibratory roller; Calculating the difference between the optimal compaction work and the first compaction energy to obtain a second compaction energy; Calculating the number of weak vibration compaction times based on the second compaction energy and the weak vibration parameter of the vibratory roller; The combination of strong and weak vibration working conditions is obtained by the selected strong vibration compaction times and the calculated weak vibration compaction times.

5. A device for calculating roadbed compaction vibration parameters based on indoor compaction tests, characterized in that: include: Filler acquisition module: obtains the filler used on the roadbed site and conducts indoor compaction tests using the filler to determine the optimal compaction work corresponding to the filler with a preset moisture content; Energy calculation module: calculates the strong vibration compaction energy and weak vibration compaction energy output by the vibratory roller based on the preset loose paving thickness of the filler and the preset compaction speed of the vibratory roller; Compaction times calculation module: based on the strong vibration compaction energy and the weak vibration compaction energy, respectively calculates the maximum strong vibration compaction times and the maximum weak vibration compaction times required for the optimal compaction work; Working condition combination planning module: using the maximum strong vibration compaction times and the maximum weak vibration compaction times to plan multiple strong and weak vibration working condition combinations, and calculating the dynamic deformation modulus of each strong and weak vibration working condition combination in turn; Optimization comparison module: compares the dynamic deformation modulus of each strong and weak vibration working condition combination with the target dynamic deformation modulus to obtain the optimal strong and weak vibration working condition combination that is closest to the target dynamic deformation modulus.

6. The device for calculating roadbed compaction vibration parameters based on indoor compaction test according to claim 5, characterized in that: The filler acquisition module includes: Orthogonal test unit: set multiple groups of compaction times and fillers with various moisture contents, and use multiple groups of compaction times and fillers with various moisture contents to conduct orthogonal tests; Dry density acquisition unit: obtains the dry density of fillers with each moisture content at different compaction times, and takes the compaction times corresponding to the maximum dry density as the optimal compaction times for the filler with the current moisture content; Compaction parameter calculation unit: obtains compaction parameters, and uses compaction parameters and optimal compaction times to calculate the optimal compaction work corresponding to fillers of each moisture content.

7. The device for calculating roadbed compaction vibration parameters based on indoor compaction test according to claim 8, characterized in that: The energy calculation module includes: Loose paving thickness acquisition unit: acquires the preset loose paving thickness of the filler and the preset compaction speed of the vibratory roller; Compaction speed acquisition unit: obtains strong vibration parameters and weak vibration parameters of the vibratory roller; Strong vibration energy calculation unit: uses the strong vibration parameters of the vibratory roller, the preset loose paving thickness and the preset compaction speed to calculate the strong vibration compaction energy output by the vibratory roller; Weak vibration energy calculation unit: uses the weak vibration parameters of the vibratory roller, the preset loose paving thickness and the preset compaction speed to calculate the weak vibration compaction energy output by the vibratory roller.

8. The device for calculating roadbed compaction vibration parameters based on indoor compaction test according to claim 7, characterized in that: The compaction times calculation module includes: Strong vibration times determination unit: determines the value range of strong vibration compaction times according to the maximum strong vibration compaction times; Strong vibration times selection unit: selects the strong vibration compaction times from the value range of the strong vibration compaction times in turn; Compaction energy calculation unit: calculates the first compaction energy using the number of strong vibration compaction times and the strong vibration parameters of the vibratory roller; Calculating the difference between the optimal compaction work and the first compaction energy to obtain a second compaction energy; A difference calculation unit is configured to calculate the number of weak vibration compaction times based on the second compaction energy and a weak vibration parameter of the vibratory roller; Working condition combination determination unit: the strong vibration and weak vibration working condition combination is obtained by the selected strong vibration compaction times and the calculated weak vibration compaction times.

9. A device for calculating roadbed compaction vibration parameters based on indoor compaction tests, characterized in that: include: memory for storing computer programs; A processor is used to implement the steps of the method for calculating roadbed compaction vibration parameters based on indoor compaction tests as described in any one of claims 1 to 4 when executing the computer program.

10. A readable storage medium, characterized in that: The readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for calculating roadbed compaction vibration parameters based on an indoor compaction test as described in any one of claims 1 to 4.

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