Vibro-replacement stone column composite foundation quality evaluation method based on objective weight method

Abstract

The invention discloses a vibro-replacement stone column composite foundation quality evaluation method based on an objective weight method. The method comprises the following steps: obtaining a multi-dimensional vibro-replacement gravel pile composite foundation quality evaluation influence factor; assigning the index weight of each influence factor based on a CRITIC weight assignment method; obtaining a normalized thematic map of each influence factor evaluation index based on a Kriging interpolation method; superposing the normalized thematic maps based on a GIS superposition coupling function to obtain a quality quantification index type partition evaluation map of the whole area of the composite foundation; and dividing and grading the quality quantitative index type partition evaluation graph, so as to perform partition evaluation on the quality of the vibro-replacement gravel pile composite foundation in the whole region. According to the method, all the influence factors are coupled in the same graph through a GIS superposition coupling function and are subjected to partition evaluation, the problem that the quality evaluation dimension is single is solved, all-region partition evaluation grading can be achieved, and the precision of foundation evaluation after processing is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of composite foundation supporting technologies, and particularly to a quality evaluation method for vibroflotation gravel pile composite foundations based on an objective weighting method. Background Art

[0002] Due to its poor soil mechanical properties, the soft overburden layer cannot meet the requirements as a dam foundation. To improve the bearing capacity of the foundation, vibroflotation piles are often used to treat the foundation, and after treatment, it is usually necessary to evaluate the quality of the composite foundation.

[0003] In the conventional evaluation process, tests such as static load tests, dynamic penetration tests, standard penetration tests, and indoor direct shear tests of the composite foundation need to be carried out. When evaluating, only a single index of a certain test result is used to evaluate the quality of the vibroflotation gravel pile composite foundation.

[0004] However, because the existing evaluation method uses a single index, and is affected by the technical level and experience of the evaluator and does not consider the fuzziness and randomness between evaluation indexes, the evaluation result is greatly affected by personal subjectivity, the evaluation is not comprehensive, and the evaluation result is one-sided, resulting in a large error in the evaluation result, and it is impossible to truly reflect the quality of the vibroflotation gravel pile composite foundation based on multiple test information sources. Moreover, the existing evaluation method has a single dimension and cannot carry out zonal evaluation and grading of the quality of the composite foundation in the whole area. Summary of the Invention

[0005] The main purpose of the present invention is to provide a quality evaluation method for vibroflotation gravel pile composite foundations based on an objective weighting method, aiming to solve the technical problems that the evaluation result of the existing technology often has a large error and cannot carry out zonal evaluation and grading of the quality of the composite foundation in the whole area.

[0006] To achieve the above object, the present invention provides a quality evaluation method for vibroflotation gravel pile composite foundations based on an objective weighting method, the method comprising the following steps: S10, obtaining multi-dimensional influencing factors for the quality evaluation of vibroflotation gravel pile composite foundations; S20, assigning weights to each influencing factor index based on the CRITIC weight assignment method; S30, obtaining a normalized thematic map of each influencing factor evaluation index based on the Kriging interpolation method; S40, overlaying the normalized thematic maps based on the GIS overlay coupling function to obtain a quality quantitative index type zonal evaluation map of the whole area of the composite foundation; S50, dividing and grading the quality quantitative index type zonal evaluation map, so as to carry out zonal evaluation on the quality of the vibroflotation gravel pile composite foundation in the whole area.

[0007] Optionally, step S10 includes the following steps: S110, conducting a static load test on the composite foundation; S120, evaluating the factors of the direct shear test indoors; S130, evaluating the integrity and density of the vibroflotation gravel piles; S140, evaluating the treatment effect of the soil between piles; S150, obtaining the multi-dimensional influencing factors for the quality evaluation of the vibroflotation gravel pile composite foundation based on the evaluation results.

[0008] Optionally, step S150 includes: S1510, establishing a multi-source data analysis model based on the evaluation results and the results of the static load test on the composite foundation; S1520, obtaining the multi-dimensional influencing factors for the quality evaluation of the vibroflotation gravel pile composite foundation, where the influencing factors include the shear strength C1 of the pile body, the number of blows of the dynamic penetration test on the pile shaft C2, the number of blows of the standard penetration test on the soil between piles C3, the compression strength C4 of the soil between piles from the indoor test, the cumulative settlement of the pile shaft under the maximum load C5, and the characteristic value of the bearing capacity of the composite foundation C6.

[0009] Optionally, step S20 includes: S210, constructing an initial data matrix X; S220, normalizing the index data to establish a standard matrix, where the index data is divided into positive indicators and negative indicators; S230, calculating the standard deviation ; S240, calculating the conflict between indicators; S250, calculating the information carrying capacity C j ; S260, calculating the weight W j .

[0010] Optionally, step S220 includes: S2210, performing normalization calculation on positive indicators based on the following formula: (i = 1, 2, ……, m; j = 1, 2, ……, n) (1) where, Y ij is the normalized x ij value; x ij is the i-th index and the j-th data element of x; min(x i ) is the minimum data value in the i-th index of x, and max(x i ) is the maximum data value in the i-th index of x; S2220, performing normalization calculation on negative indicators based on the following formula: (i = 1, 2, ……, m; j = 1, 2, ……, n) (2) where, Y ij is the normalized x ij value; x ij is the i-th index and the j-th data element of x; min(x i ) is the minimum data value in the i-th index of x, and max(x i ) is the maximum data value in the i-th index of x.

[0011] Optionally, step S30 includes: S310, multiplying the influence factor index by the combined weight of each determined influence factor; S320, based on the Kriging interpolation method, using the numerical analysis ability of GIS to obtain the normalized thematic map of each influence factor evaluation index.

[0012] Optionally, step S40 includes: S410, based on the information fusion, superposition and coupling function of GIS, superposing the normalized thematic maps; S420, obtaining the quality quantification index type zoning evaluation map of the entire area of the composite foundation.

[0013] Optionally, step S50 includes: S510, grading the index values based on the dynamic natural grading method, dividing them into five grades according to different thresholds; S520, based on the grading results, dividing the quality evaluation map of the entire area into a high-quality area, a relatively high-quality area, a transition area, an average area and a warning area for the foundation treatment quality.

[0014] In addition, to achieve the above object, an embodiment of the present application further provides a vibroflotation gravel pile composite foundation quality evaluation device based on an objective weight method. The device includes: a factor acquisition module for acquiring multi-dimensional influence factors for evaluating the quality of a vibroflotation gravel pile composite foundation; a weight assignment module for assigning weights to each influence factor index based on the CRITIC weight assignment method; a thematic map acquisition module for obtaining the normalized thematic map of each influence factor evaluation index based on the Kriging interpolation method; a superposition module for superposing the normalized thematic maps based on the GIS superposition and coupling function to obtain the quality quantification index type zoning evaluation map of the entire area of the composite foundation; a quality evaluation module for grading and classifying the quality quantification index type zoning evaluation map, so as to conduct a zoning evaluation on the quality of the vibroflotation gravel pile composite foundation in the entire area.

[0015] In addition, to achieve the above object, an embodiment of the present application further provides a computer-readable storage medium, which includes instructions that, when running on a computer, cause the computer to execute the vibroflotation gravel pile composite foundation quality evaluation method based on an objective weight method according to any embodiment of the present application.

[0016] In addition, to achieve the above object, an embodiment of the present application further provides a computing device. The computing device includes: at least one processor, a memory and an input / output unit; wherein, the memory is used for storing a computer program, and the processor is used for calling the computer program stored in the memory to execute the vibroflotation gravel pile composite foundation quality evaluation method based on an objective weight method according to any embodiment of the present application.

[0017] The quality evaluation method for vibroflotation gravel pile composite foundation based on the objective weight method provided by the embodiments of the present application assigns weights to each influencing factor index through the CRITIC weight assignment method (objective weight method), obtains the combined weights of each index, making the evaluation comprehensive, greatly reducing the error of the evaluation results, and can truly reflect the quality of the vibroflotation gravel pile composite foundation based on multiple test information sources; obtains the normalized thematic maps of each influencing factor evaluation index through the Kriging interpolation method, and couples and evaluates each influencing factor in the same map through the GIS overlay coupling function, solving the problem of single-dimensional quality evaluation to a certain extent, realizing the grading evaluation of the whole area by partition, improving the accuracy of the treated foundation evaluation, providing specific and visual guidance for the acceptance and re-treatment of the composite foundation, and providing a new solution for the evaluation of the composite foundation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a flowchart of the quality evaluation method for vibroflotation gravel pile composite foundation based on the objective weight method provided by one or more embodiments of the present application; Figure 2 is a structural block diagram of the quality evaluation device for vibroflotation gravel pile composite foundation based on the objective weight method provided by one or more embodiments of the present application; Figure 3 is a quality evaluation partition map of the composite foundation provided by one or more embodiments of the present application; Figure 4 is a structural schematic diagram of the medium provided by one embodiment of the present application; Figure 5 is a structural schematic diagram of the computing device provided by one embodiment of the present application.

[0019] The implementation, functional features and advantages of the objectives of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application. On the contrary, these embodiments are provided to make the present disclosure more thorough and complete, and to convey the scope of the present disclosure to those skilled in the art in a complete manner.

[0021] Those skilled in the art know that the embodiments of the present application can be implemented as a system, a device, a device, a method or a computer program product. Therefore, the present application can be specifically implemented in the following forms: completely hardware, completely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0022] The embodiments of the present application provide a quality evaluation method for vibroflotation gravel pile composite foundation based on the objective weight method, and this method can be executed by a computer, such as Figure 1As shown, the method may include the following steps: S10. Obtain the influencing factors for the quality evaluation of the multi-dimensional vibro-compaction gravel pile composite foundation.

[0023] In an exemplary embodiment, step S10 may include the following steps: S110. Conduct a static load test on the composite foundation; S120. Evaluate the factors of the direct shear test in the laboratory; S130. Evaluate the integrity and density of the vibro-compaction gravel piles; S140. Evaluate the treatment effect of the soil between piles; S150. Obtain the influencing factors for the quality evaluation of the multi-dimensional vibro-compaction gravel pile composite foundation based on the evaluation results.

[0024] In an exemplary embodiment, step S150 may include the following steps: S1510. Establish a multi-source data analysis model based on the evaluation results and the results of the static load test on the composite foundation; S1520. Obtain the influencing factors for the quality evaluation of the multi-dimensional vibro-compaction gravel pile composite foundation, where the influencing factors include the shear strength C1 of the pile body, the number of blows of the dynamic penetration test of the pile shaft C2, the number of blows of the standard penetration test of the soil between piles C3, the compression strength C4 of the soil between piles in the laboratory test, the cumulative settlement of the pile shaft under the maximum load C5, and the characteristic value of the bearing capacity of the composite foundation C6.

[0025] Specifically, the overall process of the static load test on the composite foundation is as follows: In the static load test of the composite foundation, axial pressure is applied step by step to the pile top according to the service function of the pile, and the settlement of the corresponding detection points of the pile over time is observed. According to the relationship between the load and the displacement (i.e., the Q-S curve), the corresponding vertical compressive bearing capacity is determined. This test method uses various artificial loading methods to simulate the actual working state of the foundation or the foundation, and tests its bearing performance and deformation characteristics after loading. The static load test of the composite foundation is used to determine the bearing capacity and deformation parameters of the composite soil layer within the main stress influence range under the bearing plate. The determination of this influencing factor takes the cumulative settlement value of each point under the maximum load condition and the characteristic value of the bearing capacity determined by each test pile as the analysis index. The bearing capacity of the composite foundation is the basis for judging the quality of the vibro-compaction gravel pile foundation and is positively correlated with the quality of the composite foundation. The cumulative settlement of the pile shaft under the maximum load is negatively correlated with the quality of the composite foundation.

[0026] Next, the evaluation process of the factors of the direct shear test in the laboratory will be specifically described: First, fix the upper and lower boxes of the direct shear. Install a slitting device on the lower shear box, and place an impermeable plate at the bottom of the shear box. Then, evenly load the weighed specimens into the specimen box in layers, compact them to the relative height of the controlled density, plane the surface after shaving the surface, and then fill the second layer and level the surface. Finally, collect the construction density of the pile body during the on-site vibroflotation pile construction, draw a curve of the relationship between shear stress and horizontal shear displacement according to the results of the indoor shear test, draw a curve of the relationship between vertical stress and shear stress under different on-site density conditions, and analyze the test data to obtain the shear strength (c) and internal friction angle (φ) values. The specification stipulates that the peak or stable value on the curve of the relationship between shear stress and horizontal displacement is taken as the shear strength. If there is no obvious peak, the shear stress at the point where the horizontal displacement reaches the specimen diameter is taken as the shear strength. Take one-tenth of the shear stress as the shear strength. The shear strength of the pile body in this case uniformly adopts the shear strength τ under the vertical stress σ = 800 kPa. The determination of this influence factor takes the shear strength under different on-site densities as the analysis index. Under the same vertical stress condition, the greater the shear strength of the pile body, the better the quality of the vibroflotation gravel pile foundation. Therefore, the shear strength of the pile body is positively correlated with the quality of the composite foundation.

[0027] Furthermore, the evaluation process of the integrity and density of the vibroflotation gravel pile is as follows: According to the specification standards of the "Technical Specification for Foundation Treatment by Vibroflotation Method in Hydropower and Water Conservancy Projects" (DL / 5214 - 2005), the "Code for Geotechnical Investigation" (GB50021 - 2001), and the "Technical Specification for Building Foundation Treatment" (JGJ79 - 2012), the integrity and density of the pile body of the gravel pile granular material composite foundation reinforcement are inspected by the cone penetration test.

[0028] Cone penetration test is to use a certain hammering kinetic energy to drive a cone probe of a certain specification into the soil, judge the change of soil layers according to the resistance of driving into the soil, conduct mechanical stratification of the soil layers, and determine the physical properties of the soil layers, and make an engineering geological evaluation of the foundation soil. In practice, the number of hammer blows for penetrating a certain depth into the soil layer is often used as the test index of the cone penetration test. The pile body density can reflect the integrity of the pile body itself and an important index of the pile body bearing capacity. The greater the pile body density, the higher the pile body bearing capacity. Therefore, the pile body density is positively correlated with the quality of the composite foundation. The pile body integrity is positively correlated with the quality of the composite foundation.

[0029] In addition, the evaluation process of the treatment effect of the soil between piles is as follows: For the vibroflotation gravel pile with granular material reinforcement, since the pile body bearing capacity cannot be directly measured, the detection of the soil between piles has become the key point of the detection. The detection of the soil between piles is mainly the standard penetration test and indoor geotechnical tests.

[0030] The relative density of various sands is determined according to the number of hammer blows in the standard penetration test. The standards in the "Code for Geotechnical Investigation" (GB50021 - 2001) are as follows: (1) When the number of blows is less than 10, the sand is in a loose state; (2) When the number of blows is less than or equal to 15 and greater than or equal to 10, the sand is in a slightly dense state; (3) When the number of blows is less than or equal to 30 and greater than 15, the sand is in a medium - dense state; (4) When the number of blows is greater than 30, the sand is in a dense state. The standard penetration blow count is positively correlated with the quality of the composite foundation.

[0031] The indoor test results of the soil between piles are analyzed using mathematical statistics methods. Mainly, the porosity, shear test, and compression test of the soil between piles are analyzed. The better the physical and mechanical properties of the soil between piles, the more positively correlated it is with the quality of the composite foundation.

[0032] S20, Assign weights to each influencing factor index based on the CRITIC weight assignment method.

[0033] Specifically, this method has obvious advantages in dealing with the weights of various uncertain factors. The basic idea of the CRITIC weight assignment method (objective weight method) is to determine the objective weights of the indicators based on the basic concepts of contrast intensity and indicator conflict. One is the contrast intensity, which represents the size of the value gap of each evaluation scheme for the same indicator, and is expressed in the form of standard deviation. That is, the size of the standardized difference indicates the size of the value gap of each scheme within the same indicator. The larger the standard deviation, the larger the value gap of each scheme. The other is the conflict between evaluation indicators. The conflict between indicators is based on the correlation between indicators. For example, if there is a strong positive correlation between two indicators, it means that the conflict between the two indicators is relatively low. This method comprehensively considers the volatility of the data and the correlation of the indicators.

[0034] In an exemplary embodiment, step S20 may include the following steps: S210, Construct an initial data matrix X; S220, Normalize the indicator data to establish a standard matrix. The indicator data is divided into positive indicators and negative indicators; S230, Assign weights to each influencing factor index based on the standard matrix.

[0035] Specifically, the initial data matrix X is as follows:

[0036] Where i and j are the rows and columns of the matrix respectively, m is the defined number of indicators, and n is the number of data samples.

[0037] Furthermore, step S220 may include the following steps: S2210, Perform normalization calculation on positive indicators based on the following formula: where \(i = 1,2,\cdots,m\); \(j = 1,2,\cdots,n\) (1) where \(Y\) ij is the normalized \(x\) ij value; \(x\) ij is the \(i\)-th index and \(j\)-th data element of \(x\); \(\min(x\) i ) is the minimum data value in the \(i\)-th index of \(x\), and \(\max(x\) i ) is the maximum data value in the \(i\)-th index of \(x\); S2220, perform normalization calculation on negative indicators based on the following formula: where \(i = 1,2,\cdots,m\); \(j = 1,2,\cdots,n\) (2) where \(Y\) ij is the normalized \(x\) ij value; \(x\) ij is the \(i\)-th index and \(j\)-th data element of \(x\); \(\min(x\) i ) is the minimum data value in the \(i\)-th index of \(x\), and \(\max(x\) i ) is the maximum data value in the \(i\)-th index of \(x\).

[0038] S230, calculate the standard deviation .

[0039] Specifically, in this embodiment, the standard deviation is used to represent the volatility, i.e., the comparison intensity, of the \(j\)-th indicator, and the calculation formula is as follows: (3) where \(n\) is the sample quantity value; \(Y\) ij is the normalized \(x\) ij value; is the average value of the \(j\)-th indicator of \(Y\).

[0040] S240, calculate the conflict between indicators.

[0041] Specifically, the conflict is represented by the correlation coefficient , that is: (4) where \(m\) is the index value, represents the correlation coefficient between evaluation indicators \(i\) and \(j\). If the correlation coefficient calculated for two variables is closer to -1, it indicates a strong negative correlation between the two variables. If the correlation coefficient calculated for two variables is closer to 1, it indicates a strong positive correlation between the two variables.

[0042] S250, calculate the information carrying capacity \(C\) j .

[0043] Specifically, the calculation formula for the information carrying capacity is as follows: (5) where j is the j-th index, and C j is the information carrying capacity; is the standard deviation; is the correlation coefficient between indices.

[0044] S260, calculate the weight W j 。

[0045] Specifically, the calculation formula for the weight is as follows: (6) where j is the j-th index; C j is the information carrying capacity of the j-th index; C i is the information carrying capacity of the i-th index.

[0046] The CRITIC assignment method assigns higher weights to criteria with larger standard deviations and lower correlations with other criteria. That is, the larger the value of C j , the greater the amount of information obtained from the given criterion, and thus the higher the relative importance of this criterion for the decision-making problem.

[0047] Next, an example calculation of the CRITIC assignment method is given: Based on the data of the influencing factors obtained from the test (shear strength of pile body C1, number of blows of dynamic penetration of pile shaft C2, number of blows of standard penetration of soil between piles C3, compression strength of soil between piles from laboratory test C4, cumulative settlement of pile shaft under maximum load C5, and characteristic value of composite foundation bearing capacity C6), using the data after normalization processing of each influencing factor index, calculate the contrast strength within the index, the correlation coefficient between indices, and the weight values of each influencing factor. The test results are shown in Table 1-4 below. As can be seen from the following table, the correlation coefficient is significantly correlated at the 0.05 level (two-sided).

[0048] Table 1 Contrast strength within influencing factor index

[0049] Table 2 Correlation coefficient between evaluation indices of each influencing factor

[0050] Table 3 Correlation coefficient between evaluation indices of each influencing factor

[0051] Table 4 Weight values of evaluation indices of influencing factors

[0052] S30. Obtain the normalized thematic map of each influencing factor evaluation index based on the Kriging interpolation method.

[0053] In an exemplary embodiment, step S30 may include the following steps: S310. Multiply the influencing factor index by the combined weight of each determined influencing factor. S320. Based on the Kriging interpolation method, utilize the numerical analysis ability of GIS to obtain the normalized thematic map of each influencing factor evaluation index.

[0054] Specifically, the Kriging interpolation method is a spatial interpolation method based on the covariance function, mainly used for spatial modeling and prediction of random processes or random fields. In a specific random process, such as an intrinsically stationary process, the Kriging interpolation method can provide an optimal linear unbiased estimate.

[0055] S40. Overlay the normalized thematic maps based on the overlay coupling function of GIS to obtain the quality quantification index-type zoning evaluation map of the entire area of the composite foundation.

[0056] In an exemplary embodiment, step S40 may include the following steps: S410. Based on the information fusion overlay coupling function of GIS, overlay the normalized thematic maps. S420. Obtain the quality quantification index-type zoning evaluation map of the entire area of the composite foundation.

[0057] In this exemplary embodiment, the numerical analysis ability of GIS is used to obtain the normalized thematic map of each influencing factor evaluation index. The integrated analysis module of the GIS geographical information system multiplies the data of the 6 influencing factors affecting the quality of the vibroflotation gravel pile composite foundation by the combined weights and performs overlay coupling. The calculated index value reflects the quality evaluation of the vibroflotation gravel pile composite foundation. The calculation formula is shown in the following formula (7), where positive correlation is addition and negative correlation is subtraction. The larger the calculated value W, the better the treatment effect of the vibroflotation gravel pile composite foundation. Thus, it comprehensively reflects the quality evaluation of the vibroflotation gravel pile composite foundation, and based on this, the quality zoning of the vibroflotation gravel pile composite foundation is carried out.

[0058] (7) In the formula: W is the quality index; W i is the weight of the influencing factor; f i (x, y) is the single-factor influence value function; x, y are geographical coordinates; i is the number of influencing factors.

[0059] S50. Divide and grade the quality quantification index-type zoning evaluation map, so as to conduct a zoning evaluation on the quality of the vibroflotation gravel pile composite foundation in the entire area.

[0060] In an exemplary embodiment, step S50 may include the following steps: S510, grading the exponential values based on the dynamic natural grading method, and dividing them into five grades according to different thresholds; S520, dividing the full - area quality evaluation map into an excellent foundation treatment quality area, a relatively excellent area, a transition area, an average area, and a warning area based on the grading results.

[0061] Specifically, in this exemplary embodiment, the index is graded according to the natural grading method, so as to determine that the partition thresholds are 0.245, 0.409, 0.483, 0.545, 0.612, and 0.738 respectively. Then, it is divided into five grades according to different thresholds to obtain the composite foundation quality partition grade map, as specifically Figure 3 shown.

[0062] Furthermore, in this embodiment, the powerful data management and spatial analysis functions and information fusion technology of GIS are used to create an information - fusion - type composite foundation quality quantitative index - type partition evaluation for GIS. Through the composite foundation quality index partition map of the vibro - replacement gravel pile, the quality balance of the foundation treated by the vibro - replacement pile at this place and the risk of settlement in different areas of the treated foundation can be partitioned. According to the results statistically analyzed by the model, the exponential values are graded according to the dynamic natural grading method and divided into five grades: excellent foundation treatment quality area, relatively excellent area, transition area, average area, and warning area.

[0063] The vibro - replacement gravel pile composite foundation quality evaluation method based on the objective weight method provided by the above - mentioned one or more embodiments assigns weights to each influencing factor index through the CRITIC weight assignment method, obtains the combined weights of each index, making the evaluation comprehensive and greatly reducing the error of the evaluation results, and can truly reflect the quality of the vibro - replacement gravel pile composite foundation based on multiple test information sources; obtains the normalized thematic maps of each influencing factor evaluation index through the Kriging interpolation method, and couples and partitions each influencing factor in the same map through the GIS overlay coupling function, solving the problem of single - dimensional quality evaluation to a certain extent, enabling full - area partition evaluation and grading, improving the accuracy of the evaluation of the treated foundation, providing specific and visual guidance for the acceptance and re - treatment of the composite foundation, and providing a new solution for the evaluation of the composite foundation.

[0064] Based on the above - mentioned embodiment, referring to Figure 2 , another embodiment of the present application further provides a vibro - replacement gravel pile composite foundation quality evaluation device based on the objective weight method. The vibro - replacement gravel pile composite foundation quality evaluation device 200 may include the following modules: A factor acquisition module 210, configured to acquire multi - dimensional influencing factors for the quality evaluation of the vibro - replacement gravel pile composite foundation; A weight assignment module 220, configured to assign weights to each influencing factor index based on the CRITIC weight assignment method; A thematic map acquisition module 230, configured to obtain a normalized thematic map of each of the influencing factor evaluation indexes based on the Kriging interpolation method; An overlay module 240, configured to overlay the normalized thematic maps based on the GIS overlay coupling function to obtain a quality quantization index type zoning evaluation map for the entire area of the composite foundation; A quality evaluation module 250, configured to classify and grade the quality quantization index type zoning evaluation map, so as to conduct a zonal evaluation on the quality of the vibro gravel pile composite foundation in the entire area.

[0065] Based on the above embodiments, an embodiment of the present application further provides a computer-readable storage medium. Refer to Figure 4 , the shown computer-readable storage medium is an optical disc 50, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it will implement the steps recorded in the above method embodiments, for example, obtaining multi-dimensional influencing factors for the quality evaluation of the vibro gravel pile composite foundation; assigning weights to each influencing factor index based on the CRITIC weight assignment method; obtaining a normalized thematic map of each influencing factor evaluation index based on the Kriging interpolation method; overlaying the normalized thematic maps based on the GIS overlay coupling function to obtain a quality quantization index type zoning evaluation map for the entire area of the composite foundation; classifying and grading the quality quantization index type zoning evaluation map, so as to conduct a zonal evaluation on the quality of the vibro gravel pile composite foundation in the entire area. The specific implementation manners of each step will not be repeated here.

[0066] It should be noted that examples of computer-readable storage media may also include, but are 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 optical and magnetic storage media, which will not be elaborated one by one here.

[0067] In addition, based on the above embodiments, an embodiment of the present application further provides a computing device. Figure 5 The block diagram of an exemplary computing device 60 suitable for implementing the embodiments of the present application is shown. The computing device 60 may be a computer system or a server. Figure 5 The shown computing device 60 is only an example and should not impose any limitation on the functions and usage scope of the embodiments of the present application.

[0068] As Figure 5As shown, the components of computing device 60 may include, but are not limited to: one or more processors or processing units 601, a system memory 602, and a bus 603 that couples different system components (including system memory 602 and processing unit 601).

[0069] Computing device 60 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by computing device 60, including volatile and non-volatile media, removable and non-removable media.

[0070] System memory 602 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 6021 and / or cache memory 6022. Computing device 60 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, ROM 6023 can be used to read and write to non-removable, non-volatile magnetic media ( Figure 5 not shown in the figure and typically referred to as a "hard disk drive"). Although not shown in Figure 5 the figure, a disk drive for reading and writing to a removable non-volatile disk (such as a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (such as a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 603 that couples different system components via one or more data media interfaces. System memory 602 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of the embodiments of the present application.

[0071] A program / utility 6025 having a set (at least one) of program modules 6024 may be stored, for example, in system memory 602, and such program modules 6024 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, each of these examples or some combination thereof may include an implementation of a network environment. Program modules 6024 generally carry out the functions and / or methods in the embodiments described in the present application.

[0072] Computing device 60 may also communicate with one or more external devices 604 (such as a keyboard, a pointing device, a display, etc.). Such communication may be through an input / output (I / O) interface 605. Moreover, computing device 60 may also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 606. As Figure 5As shown, network adapter 606 communicates with other modules (such as processing unit 601, etc.) of computing device 60 via bus 603 that connects different system components. It should be understood that although Figure 5 not shown in Figure 5 , other hardware and / or software modules may be used in conjunction with computing device 60.

[0073] The processing unit 601 executes various functional applications and data processing by running programs stored in system memory 602. For example, it obtains the influencing factors for the quality evaluation of the multi-dimensional vibroflotation gravel pile composite foundation; assigns weights to each influencing factor index based on the CRITIC weight assignment method; obtains the normalized thematic maps of each influencing factor evaluation index based on the Kriging interpolation method; overlays the normalized thematic maps based on the GIS overlay coupling function to obtain the quality quantification index-type zoning evaluation map of the entire composite foundation area; divides and grades the quality quantification index-type zoning evaluation map to conduct a zonal evaluation of the quality of the entire area of the vibroflotation gravel pile composite foundation. The specific implementation methods of each step will not be repeated here. It should be noted that although several units / modules or sub-units / sub-modules of the vibroflotation gravel pile composite foundation quality evaluation device are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present application, the features and functions of the two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0074] In the description of the present application, it should be noted that the terms "first", "second", and "third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0075] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be repeated here.

[0076] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical function division, and there may be other division methods in actual implementation. Also, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some communication interfaces. The indirect couplings or communication connections of devices or units can be in electrical, mechanical, or other forms.

[0077] The unit described as a separation component may or may not be physically separated, and the component shown as a unit may or may not be a physical unit, that is, it may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0078] In addition, each functional unit in various embodiments of the present application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0079] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in various embodiments of the present application. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0080] Finally, it should be noted that the above embodiments are only specific implementation manners of the present application, used to illustrate the technical solutions of the present application, rather than limiting them. The protection scope of the present application is not limited thereto. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: any person skilled in the art within the technical scope disclosed by the present application can still modify the technical solutions recorded in the foregoing embodiments, or can easily think of changes, or perform equivalent replacements for some of the technical features; and these modifications, changes, or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0081] In addition, although the operations of the method of the present application are described in a specific order in the drawings, this does not require or imply that these operations must be performed in that specific order, or that all the shown operations must be performed to achieve the desired result. Additionally or alternatively, some steps can be omitted, multiple steps can be combined into one step for execution, and / or one step can be decomposed into multiple steps for execution.

Claims

1. A method for evaluating the quality of vibro-stone pile composite foundation based on an objective weighting method, characterized in that: The method comprises the following steps: S10, obtain the influencing factors of multi-dimensional vibro-compacted stone column composite foundation quality evaluation; S20, assign weights to each influencing factor indicator based on the CRITIC weight assignment method; S30, obtaining normalized thematic maps of evaluation indicators of each influencing factor based on Kriging interpolation method; S40, superimposing the normalized thematic maps based on the GIS superposition coupling function to obtain a quality quantitative index-type zoning evaluation map of the entire composite foundation area; S50, dividing and grading the quality quantification index type zoning evaluation diagram, thereby performing zoning evaluation on the quality of the vibro-compacted stone pile composite foundation in the entire area.

2. The quality evaluation method of vibro-stone pile composite foundation based on objective weight method according to claim 1 is characterized in that: Step S10 includes the following steps: S110, conduct static load test on composite foundation; S120, evaluation of indoor direct shear test factors; S130, evaluate the integrity and density of vibro-stone columns; S140, evaluate the effect of soil treatment between piles; S150, obtaining the influencing factors of the multi-dimensional vibro-compacted stone column composite foundation quality evaluation based on the evaluation results.

3. The method for evaluating the quality of vibro-stone pile composite foundation based on objective weight method according to claim 2 is characterized in that: Step S150 includes: S1510, establish a multi-source data analysis model based on the evaluation results and the results of the composite foundation static load test; S1520, obtaining multi-dimensional vibro-compacted gravel pile composite foundation quality evaluation influencing factors, wherein the influencing factors include pile shear strength C1, pile body dynamic penetration hammer blow number C2, inter-pile soil standard penetration blow number C3, inter-pile soil compressive strength of indoor test C4, pile body cumulative settlement under maximum load C5 and composite foundation bearing capacity characteristic value C6.

4. The method for evaluating the quality of vibro-stone pile composite foundation based on objective weight method according to claim 1 is characterized in that: Step S20 includes: S210, constructing an initial data matrix X; S220, normalizing the indicator data and establishing a standard matrix, wherein the indicator data is divided into positive indicators and negative indicators; S230, calculate standard deviation ; S240, calculate the conflict between indicators; S250, calculate the information carrying capacity C j ; S260, calculate weight W j .

5. The method for evaluating the quality of vibro-stone pile composite foundation based on objective weight method according to claim 1 is characterized in that: Step S220 includes: S2210, normalize and calculate the positive indicator based on the following formula: (i=1,2,……,m;j=1,2,……,n)(1) Among them, Y ij is the normalized x ij Value; x ij is the i-th index of x and the j-th data element; min(x i ) is the minimum data value in the i-th index of x, max(x i ) is the largest data value in the i-th index of x; S2220, normalize the negative indicator based on the following formula: (i=1,2,…,m; j=1,2,…,n) (2) Among them, Y ij is the normalized x ij Value; x ij is the i-th index of x and the j-th data element; min(x i ) is the minimum data value in the i-th index of x, max(x i ) is the largest data value in the i-th index of x.

6. The method for evaluating the quality of vibro-stone pile composite foundation based on objective weight method according to claim 1 is characterized in that: Step S30 includes: S310, multiplying the impact factor index by the determined combined weight of each impact factor; S320, based on the Kriging interpolation method, uses the numerical analysis capability of GIS to obtain the normalized thematic maps of the evaluation indicators of each influencing factor.

7. The method for evaluating the quality of vibro-stone pile composite foundation based on objective weight method according to claim 1 is characterized in that: Step S40 includes: S410, based on the GIS information fusion overlay coupling function, overlaying the normalized thematic maps; S420, obtaining a quality quantitative index-type zoning evaluation map of the entire composite foundation area.

8. The method for evaluating the quality of vibro-stone pile composite foundation based on objective weight method according to claim 1 is characterized in that: Step S50 includes: S510, grading the index value based on a dynamic natural grading method, and grading it into five levels according to different thresholds; S520, based on the classification results, the quality evaluation map of the entire area is divided into a foundation treatment quality high-quality area, a relatively high-quality area, a transition area, a general area and a warning area.

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