Soil layer autocorrelation distance calculation method, system, equipment and medium
By using a torque sensor and a recursive spatial improvement method in the mixing assembly, the autocorrelation distance of the soil layer is calculated using real-time data during construction, which solves the problem of the inadequacy of traditional surveying and achieves higher accuracy in calculating the autocorrelation distance of the soil layer and evaluating its reliability.
Patent Information
- Application Number
- CN202510885708.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-30
- Publication Date
- 2025-11-21
AI Technical Summary
Traditional methods for calculating soil autocorrelation distances rely on a limited number of surveys, resulting in low accuracy and impacting the guiding value of subsequent reliability assessments.
A mixing assembly equipped with a torque sensor is used to calculate the autocorrelation distance of the soil layer by measuring the torque of the mixing head. Combined with a smart terminal and a recursive spatial improvement method, the calculation is performed using real-time data during the construction process.
It improves the calculation accuracy of soil autocorrelation distance, provides a more accurate reliability assessment, reduces the need for exploration and testing, and conforms to actual geological conditions.
Smart Images
Figure CN120995647A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of geotechnical engineering, and particularly relates to a soil layer autocorrelation distance calculation method, system, device and medium. BACKGROUND
[0002] In the formation process of rock and soil, the mineral composition and mineral particle size formed in the deposition process of rock and soil and the deposition environment of the formed minerals have certain mutual relationship from the perspective of geology and soil mechanics, and are not completely independent random variables. There should be a certain autocorrelation between each soil layer and between each soil layer soil property parameter. The autocorrelation distance is an important index reflecting the autocorrelation of the soil layer soil property parameter and is also one of the important basic indexes for evaluating the reliability of the foundation. Intuitively, the larger the autocorrelation distance, the stronger the spatial correlation of the random field model, and the more uniform the soil layer distribution. At the same time, after considering the autocorrelation of rock and soil, the design strength will be lower under the condition of the same average value, confidence and standard deviation, thereby affecting the engineering cost.
[0003] When calculating the autocorrelation distance traditionally, surveying techniques such as static sounding, dynamic sounding and drilling core taking are needed to collect the basic information of the site stratum, and then the autocorrelation distance is calculated. However, the number of surveys is extremely limited, and the fine stratum soil property information cannot be obtained, resulting in low calculation accuracy of the soil layer autocorrelation distance, thereby affecting the guiding value of the subsequent reliability evaluation. SUMMARY
[0004] The purpose of the present application is to provide a soil layer autocorrelation distance calculation method, system, device and medium to improve the calculation accuracy of the soil layer autocorrelation distance.
[0005] The present application is realized by the following technical solutions:
[0006] A soil layer autocorrelation distance calculation method, comprising a stirring assembly, the stirring assembly comprising a pile gripper, a plurality of drill rods arranged on the pile gripper and a power head connected with the plurality of drill rods for driving the drill rods to rotate, a stirring head being arranged at the bottom end of the drill rod, a plurality of stirring blades being arranged at the bottom end of the stirring head and the lower part of the outer wall of the drill rod, further comprising an intelligent terminal, a torque sensor being arranged between the drill rod and the stirring head for measuring the torque of the stirring head, the intelligent terminal being connected with the torque sensor;
[0007] The method comprises the following steps:
[0008] S1, obtaining the plane coordinates of the construction position of each stirring pile;
[0009] S2, obtaining monitoring information every preset collection time during the construction process of the stirring pile, the monitoring information comprising the penetration speed, the rotating speed of the rotating rod and the measured torque measured by the torque sensor;
[0010] S3, calculating the shear strength of the soil layer per unit step length in the construction of the mixing pile under penetration based on the monitoring information, to obtain the shear strength corresponding to different penetration depths;
[0011] S4, combining the plane coordinates of each mixing pile construction position, the penetration depth, and the shear strength corresponding to the penetration depth into a soil layer shear strength matrix, to obtain a plurality of soil layer shear strength matrices;
[0012] S5, calculating the soil layer autocorrelation distance based on the plurality of soil layer shear strength matrices.
[0013] Further, the step of calculating the shear strength of the soil layer per unit step length in the construction of the mixing pile under penetration based on the monitoring information comprises:
[0014] S31, calculating the shear strength of the soil layer per unit step length in the construction of the mixing pile under penetration based on the monitoring information by the following formula:
[0015]
[0016] wherein c u is the shear strength, l is the length of the mixing blade, d is the diameter of the drill rod, B1 is the width of the lowermost mixing blade, θ1 is the inclination angle of the lowermost blade, B2 is the width of the other mixing blades except the lowermost mixing blade, θ2 is the inclination angle of the other blades except the lowermost mixing blade, M 贯 is the average value of the measured torque measured by the torque sensor within the unit step length, V 贯 is the penetration speed, and n is the rotation speed of the rotating rod.
[0017] Further, the step of calculating the soil layer autocorrelation distance based on the plurality of soil layer shear strength matrices comprises:
[0018] S51, calculating the soil layer autocorrelation distance by using the recursive spatial improvement method based on the plurality of soil layer shear strength matrices.
[0019] Further, the step of calculating the soil layer autocorrelation distance by using the recursive spatial improvement method based on the plurality of soil layer shear strength matrices comprises:
[0020] S511, taking the values of the plurality of soil layer shear strength matrices at equal intervals MΔz0, calculating the average value E[Y(z1)] and the variance of the shear strength of the plurality of soil layer shear strength matrices, wherein the initial value of M is 1;
[0021] S512, taking N=2, calculating the variance of the shear strength of two adjacent soil layer shear strength matrices, and then using to calculate the value of the variance reduction function Γ 2 (N), wherein N represents the number of soil layer shear strength matrices used to calculate the variance reduction function Γ 2The number of soil layer shear strength matrixes of (N);
[0022] S513, taking N=3, calculating the variance of three adjacent soil layer shear strength matrixes Repeat the calculation of Γ 2 (N), and so on, taking N=4, N=5, …, and repeating the calculation of Γ 2 (N), and drawing Γ 2 (N)~N curve;
[0023] S514, finding the maximum value in the Γ 2 (N)~N curve as the target autocorrelation distance;
[0024] S515, judging whether the difference between the target autocorrelation distance and Δz0 is within a preset error range;
[0025] S516, if yes, taking the target autocorrelation distance as the soil layer autocorrelation distance;
[0026] S517, if no, taking M=M+1, and repeating steps S511 to S515.
[0027] Further, the torque sensor is connected with a wireless data transmitter through a data line, the wireless data transmitter is fixed on the upper part of the outer sidewall of the drill rod, the wireless data transmitter is wirelessly connected with the intelligent terminal, and the drill rod is provided with an accommodation cavity for accommodating the data line.
[0028] The application further discloses a soil layer autocorrelation distance calculation system, which comprises a stirring assembly, the stirring assembly comprising a pile grabber, a plurality of drill rods arranged on the pile grabber, and a power head connected with the plurality of drill rods and used for driving the drill rods to rotate, a stirring head arranged at the bottom end of the drill rod, a plurality of stirring blades arranged at the bottom end of the stirring head and the lower part of the outer sidewall of the drill rod, and an intelligent terminal, wherein a torque sensor for measuring the torque of the stirring head is arranged between the drill rod and the stirring head, and the intelligent terminal is connected with the torque sensor.
[0029] The system comprises:
[0030] The first acquisition module is configured to acquire the plane coordinates of the construction positions of each stirring pile.
[0031] The second acquisition module is configured to acquire monitoring information at every preset acquisition time during the construction process of the stirring pile.
[0032] The first calculation module is configured to calculate the shear strength of the soil layer per unit step length in the construction process of the stirring pile based on the monitoring information, and obtain the shear strength corresponding to different penetration depths.
[0033] The combination module is used for combining the plane coordinates of each mixing pile construction position, the penetration depth and the shear strength corresponding to the penetration depth into a soil layer shear strength matrix to obtain a plurality of soil layer shear strength matrices.
[0034] The second calculation module is used for calculating the soil layer autocorrelation distance based on the plurality of soil layer shear strength matrices.
[0035] The application further discloses an electronic device, which comprises:
[0036] a processor;
[0037] a memory for storing an executable computer program;
[0038] When the processor executes the computer program, the steps of the soil layer autocorrelation distance calculation method are realized.
[0039] The application further discloses a computer readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps of the soil layer autocorrelation distance calculation method are realized.
[0040] Compared with the prior art, the application has the beneficial effects that: by adding a torque sensor between the drill pipe and the mixing head, the torque measured by the torque sensor is used to calculate the soil layer autocorrelation distance, so that the amount of data of the soil layer parameters can be greatly improved, the calculation accuracy of the soil layer autocorrelation distance is improved, and the reliability evaluation is more effectively guided; the application solves the problem that the calculation of the autocorrelation distance is based on extremely limited data when the bearing capacity of the deep cement mixing pile composite foundation is evaluated considering the soil layer autocorrelation, and does not need additional surveying and detection, fully utilizes the real-time data of the penetration stage during construction, has higher calculation accuracy, and is more in line with the actual stratum conditions. BRIEF DESCRIPTION OF DRAWINGS
[0041] Figure 1 The application further discloses a soil layer autocorrelation distance calculation method, and a step flow chart of the soil layer autocorrelation distance calculation method is shown in the figure.
[0042] Figure 2 The application further discloses a soil layer autocorrelation distance calculation method, and a structure diagram of the mixing assembly in the soil layer autocorrelation distance calculation method is shown in the figure.
[0043] Figure 3 The application further discloses a soil layer autocorrelation distance calculation method, and a local enlarged diagram of the mixing assembly in the soil layer autocorrelation distance calculation method is shown in the figure.
[0044] Figure 4 The application further discloses a soil layer autocorrelation distance calculation system, and a module diagram of the soil layer autocorrelation distance calculation system is shown in the figure.
[0045] Figure 5 The application further discloses an electronic device, and a hardware structure diagram of the electronic device is shown in the figure.
[0046] In the figure, 1 - wireless data transmitter, 2 - drill pipe, 3 - torque sensor, 4 - stirring head, 5 - data line, 6 - stirring blade, 7 - intelligent terminal, 8 - flange. DETAILED DESCRIPTION
[0047] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings can be arranged and designed in various different configurations.
[0048] Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative labor are within the scope of protection of the present application.
[0049] 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 and explained in subsequent drawings. Meanwhile, in the description of the present application, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.
[0050] 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 and explained in subsequent drawings. Meanwhile, in the description of the present application, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.
[0051] In the description of the present application, it should be noted that the terms "upper", "lower", "inner", "outer", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the present application is usually placed, which is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the indicated device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.
[0052] Referring to Figure 2 and Figure 3 , Figure 2 It is a structure diagram of the stirring assembly in the soil layer autocorrelation distance calculation method of the present application, Figure 3 It is a local enlarged diagram of the stirring assembly in the soil layer autocorrelation distance calculation method of the present application. A soil layer autocorrelation distance calculation method comprises a stirring assembly, the stirring assembly comprises a pile gripper, a plurality of drill rods arranged on the pile gripper, and a power head connected with the plurality of drill rods for driving the drill rods to rotate, the bottom end of the drill rod is provided with a stirring head, the bottom end of the stirring head and the lower part of the outer side wall of the drill rod are provided with a plurality of layers of stirring blades, and the method further comprises an intelligent terminal, a torque sensor for measuring the torque of the stirring head is arranged between the drill rod and the stirring head, and the intelligent terminal is connected with the torque sensor. The torque sensor is arranged between the drill rod and the stirring head, directly measures the torque received by the soil body, and there is no friction of the soil body and the pile gripper in the middle, so that the measured torque is more accurate.
[0053] In order to facilitate the connection between the torque sensor and the intelligent terminal, in an embodiment, the torque sensor is connected with a wireless data transmitter through a data line, the wireless data transmitter is fixed on the upper part of the outer side wall of the drill rod, the wireless data transmitter is wirelessly connected with the intelligent terminal, and the drill rod is provided with a containing cavity for containing the data line. The data line is transmitted from the internal containing cavity of the drill rod to the wireless data transmitter, so as to avoid damage to the data line caused by contact between the data line and the soil body, and the measured torque measured by the torque sensor is transmitted to the intelligent terminal by the wireless data transmitter through a wireless signal. In order to facilitate the installation of the torque sensor, in an embodiment, the torque sensor is connected with the drill rod and the stirring head through flanges respectively. In an embodiment, the intelligent terminal is a computer.
[0054] Referring to Figure 1 , Figure 1 It is a step flow chart of the soil layer autocorrelation distance calculation method of the present application. The method comprises the following steps:
[0055] S1, obtaining the plane coordinates of each stirring pile construction position;
[0056] S2, obtaining monitoring information obtained every preset collection time during the construction process of penetrating under the stirring pile, the monitoring information comprising the penetration speed, the rotating speed of the rotating rod and the measured torque measured by the torque sensor;
[0057] S3, based on the monitoring information, calculating the shear strength of the soil layer per unit step length in the penetration construction of the stirring pile, and obtaining the shear strength corresponding to different penetration depths;
[0058] S4, combining the plane coordinates of each stirring pile construction position, the penetration depth and the shear strength corresponding to the penetration depth into a soil layer shear strength matrix, and obtaining a plurality of soil layer shear strength matrices;
[0059] S5, calculate soil layer autocorrelation distance based on multiple soil layer shear strength matrices.
[0060] In the above step S1, generally, multiple mixing piles are constructed in the construction area to reinforce the foundation of the construction area, so a two-dimensional coordinate system XOY is established in the construction area where the X axis and the Y axis are both on the ground surface of the construction area, that is, the XY plane is consistent with the ground surface of the construction area, so that after the construction position of each mixing pile is determined, the planar coordinates (X, Y) of the construction position of each mixing pile in the XY coordinate system can be obtained.
[0061] In the above step S2, the existing mixing assembly has a GPS sensor for recording position and an attitude sensor for recording attitude. During the construction process, the mixing assembly regularly collects construction data in the construction process, such as the penetration depth measured by the GPS sensor, and the penetration distance of the mixing assembly in a certain time period, so that the penetration speed V 贯 At the same time, the rotation speed n of the rotating rod can be measured by the attitude sensor, and the measured torque of the mixing head can be measured by the torque sensor, which is the torque of the mixing head driven by the drill rod at the corresponding penetration depth.
[0062] In the above step S3, the penetration distance of the mixing assembly at several collection times is taken as a unit step, which should generally be no less than 0.5 meters. The unit step is taken as an analysis section, and the shear strength of the unit step soil layer in the penetration construction process is calculated according to the preset formula, which represents the characteristics of the soil layer in the calculated unit step range. Specifically, if the unit step is 0.5 meters, the average value of the measured torque in the unit step of 0 to 0.5 meters is calculated according to the preset formula to obtain the shear strength of the soil layer in the unit step of 0 to 0.5 meters, that is, the shear strength of the depth of 0 to 0.5 meters. According to the average value of the measured torque in the unit step of 0.5 to 1 meter, the shear strength of the unit step soil layer of 0.5 to 1 meter is calculated according to the preset formula, that is, the shear strength of the depth of 0.5 to 1 meter. Specifically, the depth of 0.75 meters is located between 0.5 to 1 meters, and the average value of the corresponding measured torque of this depth section 0.5 to 1 meters is taken as the measured torque, and then the shear strength of the corresponding soil layer is calculated. In this way, the shear strength of the soil layer of each unit step is calculated from top to bottom, and the shear strength corresponding to different penetration depths is obtained.
[0063] Further, in step S3, the step of calculating the shear strength of the soil layer of each unit step in the mixing pile penetration construction based on the monitoring information comprises:
[0064] S31, calculating the shear strength of the soil layer of each unit step in the mixing pile penetration construction based on the monitoring information by the following formula:
[0065]
[0066] In the formula, c u For shear strength, l is the length of the mixing blade, d is the drill pipe diameter, B1 is the width of the bottom mixing blade, θ1 is the inclination angle of the bottom blade, B2 is the width of the other mixing blades excluding the bottom blade, θ2 is the inclination angle of the other blades excluding the bottom blade, and M... 贯 V represents the average value of the measured torque obtained by the torque sensor within a unit step. 贯 Let n be the downward velocity, and n be the rotational speed of the rotating rod.
[0067] In step S4 above, for each construction location of the mixing pile, the planar coordinates (X, Y) of the construction location are combined with different penetration depths Z obtained during the penetration construction at that location to obtain three-dimensional coordinates (X, Y, Z). The three-dimensional coordinates (X, Y, Z) represent the coordinates in the three-dimensional coordinate system XYZ, where the XOY plane in the three-dimensional coordinate system is the two-dimensional coordinate system XOY established in step S1, and its Z-axis direction is the penetration direction of the mixing pile. Then, the three-dimensional coordinates (X, Y, Z) are combined with the shear strength corresponding to the penetration depth Z to obtain the soil shear strength matrix (X, Y, Z, C). u Soil shear strength matrix (X,Y,Z,C) u The coordinates (X, Y) represent the soil shear strength at each point within the construction area. By combining the plane coordinates (X, Y) of each mixing pile construction location with the corresponding depth Z and the shear strength at each depth Z, multiple soil layer shear strength matrices (X, Y, Z, C) can be obtained. u ).
[0068] In step S5 above, the step of calculating the autocorrelation distance of soil layers based on multiple soil layer shear strength matrices includes:
[0069] S51. Based on the shear strength matrix of multiple soil layers, the autocorrelation distance of the soil layers is calculated using the recursive spatial improvement method.
[0070] In step S51 above, based on the obtained multiple soil layer shear strength matrices (X,Y,Z,C) u The autocorrelation distance in each direction can be calculated using the recursive space improvement method. Specifically, the autocorrelation distance in the X direction is calculated using (X, C). u For the data, the autocorrelation distance in the Y direction is calculated using (Y, C). u For the data, the autocorrelation distance in the Z direction is calculated using (Z, C). u )data.
[0071] Furthermore, in step S51, the step of calculating the autocorrelation distance of the soil layers using the recursive spatial improvement method based on multiple soil layer shear strength matrices includes:
[0072] S511, the shear strength matrix of multiple soil layers is taken with equal interval MΔz0, the shear strength mean value E[Y(z1)] and variance of the shear strength matrix of multiple soil layers are calculated wherein the initial value of M is 1;
[0073] S512, N=2 is taken, the variance of two adjacent soil layer shear strength matrixes is calculated Again using The variance reduction function Γ 2 (N) is calculated, N represents the number of soil layer shear strength matrixes used to calculate the variance reduction function Γ 2 (N);
[0074] S513, N=3 is taken, the variance of three adjacent soil layer shear strength matrixes is calculated Γ 2 (N) is repeatedly calculated, and N=4, N=5, … are taken, Γ 2 (N) is repeatedly calculated, and Γ 2 (N)~N curve is drawn;
[0075] S514, the maximum value in each Γ 2 (N)~N curve is found as the target autocorrelation distance;
[0076] S515, it is judged whether the difference between the target autocorrelation distance and Δz0 is within a preset error range;
[0077] S516, if yes, the target autocorrelation distance is taken as the soil layer autocorrelation distance;
[0078] S517, if no, M=M+1 is taken, and steps S511 to S515 are repeated.
[0079] In the above step S511, the autocorrelation distance in the X direction is calculated with (X, C u ) data, the autocorrelation distance in the Y direction is calculated with (Y, C u ) data, and the autocorrelation distance in the Z direction is calculated with (Z, C u ) data, for example, the autocorrelation distance in the Z direction is calculated, (Z, C u ) data is taken as the sampling sample data, the point mean value E[Y(z1)] and variance of the sampling sample data are calculated with equal interval MΔz0. The value of M is a coefficient for controlling the sampling interval Δz0 of the sampling sample.
[0080] In the above step S512, each adjacent two sampling sample values of the sampling sample data are recombined into a sample space, step S511 is repeated, and the point mean value E[Y(z2)] and variance of the new sample space sampling data are calculated. Recycling Computing the variance reduction function Γ 2 (N) values, MNΔz0Γ 2 (N) ~ N on the N-axis mark the coordinate point where N = 2 is located.
[0081] In the above step S513, the new sample space generated in step (2) is taken as the parent space of the sampling sample space, N = 3, N = 4, N = 5, … are selected, and Γ 2 (N) is calculated according to the calculation method of step S512, and the Γ 2 (N) values obtained by calculation are plotted on MNΔz0Γ 2 (N) ~ N, and the points are connected with a smooth curve to obtain Γ 2 (N) ~ N curve.
[0082] In the above step S514, the maximum value where the wave peak is located in the Γ 2 (N) ~ N curve is found, and the found maximum value is taken as the value δ M of the target autocorrelation distance, δ M = MNΔz0Γ 2 (NΔz0) max .
[0083] In the above steps S515 to S517, the value δ M of the target autocorrelation distance obtained is compared with the soil sampling interval value Δz0, when δ M ≈ Δz0, that is, whether the difference between the target autocorrelation distance δ M and Δz0 is within the preset error range, it is explained that the two are consistent, and the target autocorrelation distance δ M is taken as the value δ of the soil autocorrelation distance of the soil sample space; otherwise, M = M + 1 is taken again, and the above steps are repeated until the difference between the target autocorrelation distance δ M and Δz0 is within the preset error range.
[0084] Please refer to Figure 4 , Figure 4 for the module schematic diagram of the soil autocorrelation distance calculation system of the present application. Corresponding to the above-mentioned embodiment of the soil autocorrelation distance calculation method of the present application, the present application also provides a soil autocorrelation distance calculation system, which comprises a stirring assembly, the stirring assembly comprising a pile holder, a plurality of drill rods arranged on the pile holder, and a power head connected with the plurality of drill rods for driving the drill rods to rotate, the bottom end of the drill rod is provided with a stirring head, the bottom end of the stirring head and the lower part of the outer wall of the drill rod are provided with a plurality of layers of stirring blades, and the system further comprises an intelligent terminal, a torque sensor is arranged between the drill rod and the stirring head for measuring the torque of the stirring head, and the intelligent terminal is connected with the torque sensor.
[0085] The system comprises:
[0086] a first acquisition module 10 configured to acquire planar coordinates of each mixing pile construction position;
[0087] a second acquisition module 20 configured to acquire monitoring information at preset acquisition time intervals during the process of driving the mixing pile, the monitoring information comprising a driving speed, a rotation speed of a rotating rod and a measured torque detected by a torque sensor;
[0088] a first calculation module 30 configured to calculate, based on the monitoring information, a shear strength of a soil layer per unit step length in the process of driving the mixing pile, to obtain shear strengths corresponding to different driving depths;
[0089] a combination module 40 configured to combine the planar coordinates of each mixing pile construction position, the driving depth and the shear strengths corresponding to the driving depth into a soil layer shear strength matrix, to obtain a plurality of soil layer shear strength matrices;
[0090] a second calculation module 50 configured to calculate, based on the plurality of soil layer shear strength matrices, a self-correlation distance of the soil layer.
[0091] Further, the first calculation module 30 comprises:
[0092] a first calculation sub-module configured to calculate, based on the monitoring information, the shear strength of the soil layer per unit step length in the process of driving the mixing pile by the following formula:
[0093]
[0094] wherein c is the shear strength, l is a length of a mixing blade, d is a diameter of a drill rod, B1 is a width of a lowermost mixing blade, θ1 is an inclination angle of the lowermost mixing blade, B2 is a width of a mixing blade other than the lowermost mixing blade, θ2 is an inclination angle of the mixing blade other than the lowermost mixing blade, M is an average value of the measured torque detected by the torque sensor per unit step length, V is the driving speed, and n is the rotation speed of the rotating rod. u 贯 贯
[0095] Further, the second calculation module 50 comprises:
[0096] a second calculation sub-module configured to calculate, based on the plurality of soil layer shear strength matrices, the self-correlation distance of the soil layer by using a recursive space improvement method.
[0097] Further, the second calculation sub-module comprises:
[0098] a value taking unit configured to take values of the plurality of soil layer shear strength matrices at equal intervals MΔz0, to calculate a shear strength average E[Y(z1)] and a shear strength variance Var[Y(z1)] of the plurality of soil layer shear strength matrices. wherein the initial value of M is 1;
[0099] The first calculation unit is configured to take N=2 to calculate the variance of the shear strength matrices of two adjacent soil layers reusing The variance reduction function Γ is calculated 2 The value of N indicates the number of soil layer shear strength matrices used to calculate the variance reduction function Γ 2 The value of N indicates the number of soil layer shear strength matrices used to calculate the variance reduction function Γ
[0100] The second calculation unit is configured to take N=3 to calculate the variance of the shear strength matrices of three adjacent soil layers The Γ 2 (N) is repeatedly calculated, and the N is taken as 4, 5, …, and the Γ 2 (N) is repeatedly calculated, and the N is taken as 4, 5, …, and the Γ 2 (N) is repeatedly calculated, and the N is taken as 4, 5, …, and the Γ
[0101] The finding unit is configured to find the maximum value in the Γ 2 (N) as the target autocorrelation distance;
[0102] The judgment unit is configured to judge whether the difference between the target autocorrelation distance and Δz0 is within a preset error range;
[0103] The execution unit is configured to, if the judgment unit judges yes, take the target autocorrelation distance as the soil layer autocorrelation distance;
[0104] The repeating unit is configured to, if the judgment unit judges no, take M=M+1, and repeat the value taking unit to the judgment unit.
[0105] The functions and effects of the various modules and sub-modules in the above system are specifically described in the implementation process of the corresponding steps in the above method, and will not be repeated here.
[0106] For the system embodiment, since it basically corresponds to the method embodiment, the relevant part can be seen in the part of the method embodiment. The system embodiment described above is only illustrative, and the units described as separate components can be or can not be physically separated, and the components displayed as units can be or can not be physical units.
[0107] Corresponding to the above-mentioned embodiment of the soil layer autocorrelation distance calculation method, the present application also provides an electronic device, which can include: a processor; a memory for storing an executable computer program; wherein the processor executes the computer program to realize the soil layer autocorrelation distance calculation method in any of the above-mentioned method embodiments.
[0108] The embodiments of the soil self-correlation distance calculation and system provided by the embodiments of the present application can be applied to electronic devices. Taking software implementation as an example, as a logical device, it is formed by reading the corresponding computer program instructions in the non-volatile memory into the memory for running by the processor of the electronic device. As shown in Figure 5 Figure 5 In addition to the processor, the memory, the network interface, and the non-volatile memory as shown in Figure 5 The electronic device can also include other hardware such as a camera module, or other hardware according to the actual function of the electronic device, which will not be described here.
[0109] Corresponding to the embodiments of the foregoing soil self-correlation distance calculation method, the embodiments of the present application also provide a computer readable storage medium having a computer program stored thereon, and the computer program is executed by a processor to implement the soil self-correlation distance calculation method in any of the foregoing method embodiments.
[0110] The embodiments of the present application can be in the form of a computer program product implemented on one or more storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing program code. The computer readable storage medium can include: permanent or non-permanent removable or non-removable media. The information storage function of the computer readable storage medium can be realized by any implementable method or technology. The information can be a computer readable instruction, a data structure, a model of a program or other data.
[0111] In addition, the computer readable storage medium includes but is not limited to: phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape disk storage or other magnetic storage device, or other non-transmission medium that can be used to store information accessible by a computing device.
[0112] Compared with the prior art, the present application has the following advantages: by adding a torque sensor between the drill rod and the stirring head, the torque measured by the torque sensor is used to calculate the soil self-correlation distance, which can greatly improve the amount of soil layer parameter data, improve the calculation accuracy of the soil self-correlation distance, and more effectively guide the reliability evaluation; the present application solves the problem of extremely limited self-correlation distance calculation basis when considering the self-correlation of the deep cement mixing pile composite foundation bearing capacity evaluation, without additional survey and detection, fully utilizing the real-time data in the lower penetration stage during construction, the calculation accuracy is higher, and it is more consistent with the actual stratum conditions.
[0113] The above description is only the preferred embodiment of the present application, and does not limit the present application in any form. Any simple modification, equivalent change and modification of the above embodiment, which does not deviate from the technical solution of the present application and is based on the technical essence of the present application, still belongs to the scope of the technical solution of the present application.
Claims
1. A method for calculating the autocorrelation distance of soil layers, comprising a mixing assembly, the mixing assembly including a pile gripper, multiple drill rods mounted on the pile gripper, and a power head connected to the multiple drill rods for driving the drill rods to rotate, wherein a mixing head is provided at the bottom end of each drill rod, and a plurality of mixing blades are provided at the bottom end of the mixing head and on the lower part of the outer side wall of the drill rod, characterized in that, It also includes a smart terminal, and a torque sensor for measuring the torque of the stirring head is provided between the drill rod and the stirring head, and the smart terminal is connected to the torque sensor; The method includes the following steps: S1. Obtain the planar coordinates of the construction location of each mixing pile; S2. Acquire monitoring information at preset collection times during the mixing pile penetration construction process. The monitoring information includes penetration speed, drill rod rotation speed, and measured torque measured by torque sensor. S3. Based on the monitoring information, calculate the shear strength of the soil layer per unit step length during the construction of the mixing pile, and obtain the shear strength corresponding to different penetration depths; S4. Combine the plane coordinates, penetration depth, and shear strength corresponding to each mixing pile construction location into a soil layer shear strength matrix to obtain multiple soil layer shear strength matrices. S5. Calculate the autocorrelation distance of the soil layers based on the shear strength matrices of the multiple soil layers.
2. The method for calculating the autocorrelation distance of soil layers according to claim 1, characterized in that, The step of calculating the shear strength of the soil layer per unit step length during the construction of the mixing pile based on the monitoring information includes: S31. Based on the monitoring information, calculate the shear strength of the soil layer per unit step length during the mixing pile penetration construction using the following formula: In the formula, c u For shear strength, l is the length of the mixing blade, d is the drill pipe diameter, B1 is the width of the bottom mixing blade, θ1 is the inclination angle of the bottom mixing blade, B2 is the width of the other mixing blades excluding the bottom mixing blade, θ2 is the inclination angle of the other mixing blades excluding the bottom mixing blade, and M... 贯 V represents the average value of the measured torque obtained by the torque sensor within a unit step. 贯 Let n be the downward velocity, and n be the rotational speed of the rod.
3. The method for calculating the autocorrelation distance of soil layers according to claim 1, characterized in that, The step of calculating the soil layer autocorrelation distance based on multiple soil layer shear strength matrices includes: S51. Based on the shear strength matrices of multiple soil layers, the autocorrelation distance of the soil layers is calculated using the recursive spatial improvement method.
4. The method for calculating the autocorrelation distance of soil layers according to claim 3, characterized in that, The step of calculating the soil layer autocorrelation distance using the recursive spatial improvement method based on multiple soil layer shear strength matrices includes: S511. For the multiple soil layer shear strength matrices, take values at equal intervals MΔz0, and calculate the mean E[Y(z1)] and variance of the shear strength of the multiple soil layer shear strength matrices. The initial value of M is 1; S512. Taking N=2, calculate the variance of the shear strength matrix of two adjacent soil layers. Reuse Calculate the variance reduction function Γ 2 The value of (N), where N represents the variance reduction function Γ used to calculate the variance reduction function. 2 The number of soil shear strength matrices (N); S513. Taking N=3, calculate the variance of the shear strength matrix of the three adjacent soil layers. Repeated calculation Γ 2 (N), and so on, taking N=4, N=5, ..., and repeating the calculation of Γ. 2 (N), and plot Γ 2 (N)~N curve; S514, in Γ 2 Find the maximum value in the (N)~N curve as the target autocorrelation distance; S515. Determine whether the difference between the target autocorrelation distance and Δz0 is within the preset error range; S516. If so, then the target autocorrelation distance is taken as the soil layer autocorrelation distance. S517. If not, then take M = M + 1 and repeat steps S511 to S515.
5. The method for calculating the autocorrelation distance of soil layers according to claim 1, characterized in that, The torque sensor is connected to a wireless data transmitter via a data cable. The wireless data transmitter is fixed to the upper part of the outer wall of the drill pipe and is wirelessly connected to a smart terminal. The drill pipe has a cavity for accommodating the data cable.
6. A soil layer autocorrelation distance calculation system, comprising a mixing assembly, the mixing assembly including a pile gripper, multiple drill rods mounted on the pile gripper, and a power head connected to the multiple drill rods for driving the drill rods to rotate, wherein a mixing head is provided at the bottom end of each drill rod, and a plurality of mixing blades are provided at the bottom end of the mixing head and on the lower part of the outer side wall of the drill rod, characterized in that, It also includes a smart terminal, and a torque sensor for measuring the torque of the stirring head is provided between the drill rod and the stirring head, and the smart terminal is connected to the torque sensor; The system includes: The first acquisition module is used to acquire the planar coordinates of the construction location of each mixing pile; The second acquisition module is used to acquire monitoring information at preset acquisition times during the construction of the mixing pile. The monitoring information includes the penetration speed, the rotation speed of the rotating rod, and the measured torque measured by the torque sensor. The first calculation module is used to calculate the shear strength of the soil layer per unit step length during the construction of the mixing pile based on the monitoring information, and to obtain the shear strength corresponding to different penetration depths. The combination module is used to combine the plane coordinates, penetration depth and shear strength corresponding to each mixing pile construction location into a soil layer shear strength matrix, resulting in multiple soil layer shear strength matrices; The second calculation module is used to calculate the autocorrelation distance of the soil layers based on the shear strength matrices of multiple soil layers.
7. An electronic device, characterized in that, include: processor; Memory is used to store executable computer programs; Wherein, when the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.