Vibro-replacement stone column composite foundation quality evaluation method, device and equipment

Abstract

The invention discloses a vibro-replacement stone column composite foundation quality evaluation method, device and equipment. The method comprises the following steps: analyzing quality evaluation factors of the vibro-replacement stone column composite foundation; determining an influence factor based on the analysis result; obtaining a combined weight of each index based on the determined influence factor; 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 relates to a method, device and equipment for evaluating the quality of vibroflotation gravel pile composite foundations. 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 various 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 method, device and equipment for evaluating the quality of vibroflotation gravel pile composite foundations, 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 method for evaluating the quality of vibroflotation gravel pile composite foundations, the method comprising the following steps: S10, analyzing the quality evaluation factors of the vibroflotation gravel pile composite foundation; S20, determining the influencing factors based on the analysis result; S30, obtaining the combined weights of each index based on the determined influencing factors; S40, obtaining the normalized thematic map of each influencing factor evaluation index based on the Kriging interpolation method; S50, overlaying the normalized thematic maps based on the GIS overlay coupling function to obtain a quality quantification index type zonal evaluation map of the whole area of the composite foundation; S60, dividing and grading the quality quantification 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 detection factors of the direct shear test in the laboratory; S130, evaluating the treatment effect of the soil between piles; S140, evaluating the engineering geological conditions.

[0008] Optionally, in step S20, the influencing factors include the vibroflotation pile body condition B1, the treatment effect of the soil between piles B2, the static load characteristics of the composite foundation B3, and the engineering geological conditions B4.

[0009] Optionally, step S30 includes: S310, respectively assigning weights to the influencing factors based on the AHP subjective weighting method and the CRITIC objective weighting method; S320, establishing a formula based on the principle of minimum information entropy and the Lagrange multiplier method, and optimizing and solving the weights of the influencing factors to obtain the combined weights.

[0010] Optionally, step S40 includes: S410, performing dimensionless and normalized data processing on the influencing factor indicators; S420, multiplying the dimensionless and normalized data processed influencing factor indicators by the combined weights of the determined influencing factors; S430, based on the Kriging interpolation method, using the numerical analysis ability of GIS to obtain the normalized thematic maps of the evaluation indicators of each influencing factor.

[0011] Optionally, step S50 includes: S510, based on the information fusion, superposition and coupling function of GIS, superposing the normalized thematic maps; S520, obtaining the quality quantification index type zoning evaluation map of the entire area of the composite foundation.

[0012] Optionally, the formula established in step S320 is as follows: (1) In the formula: minF is the combined weight; Q j is the optimal weight of multi-source information of the AHP-entropy weight method; W j is the weight assigned by the AHP method; V j is the weight assigned by the CRITIC method; s.t. represents the constraint conditions that need to be satisfied during the optimization process.

[0013] Optionally, step S60 includes: S610, grading the index values based on the dynamic natural grading method, and dividing them into five grades according to different thresholds; S620, dividing the quality evaluation map of the entire area into excellent areas, relatively excellent areas, transition areas, general areas, and warning areas for the foundation treatment quality based on the grading results.

[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, which includes: an analysis module for analyzing the vibroflotation gravel pile composite foundation quality evaluation factors; a factor determination module for determining influencing factors based on the analysis results; a weight acquisition module for obtaining the combined weights of each index based on the determined influencing factors; a thematic map acquisition module for obtaining the normalized thematic maps of each of the influencing factor evaluation indexes based on the Kriging interpolation method; a superposition module for superposing 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; and a quality evaluation module for classifying and grading the quality quantitative index type zoning evaluation map, so as to conduct a zonal evaluation of 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 of 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, which includes: at least one processor, a memory, and an input / output unit; wherein, the memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute the vibroflotation gravel pile composite foundation quality evaluation method of any embodiment of the present application.

[0017] The vibroflotation gravel pile composite foundation quality evaluation method provided by the embodiment of the present application analyzes the vibroflotation gravel pile composite foundation quality evaluation factors, determines the influencing factor weight values required by the influencing factors, thereby obtaining the combined weights of each index, making the evaluation comprehensive, greatly reducing the error of the evaluation results, and being able to truly reflect the quality of the vibroflotation gravel pile composite foundation based on multiple test information sources; through the GIS superposition coupling function, each influencing factor is coupled and zonally evaluated in the same map, which solves the problem of single quality evaluation dimension to a certain extent, can realize the zonal evaluation and grading of the entire area, improves the accuracy of the post-treatment foundation evaluation, provides a specific and visual guidance for the acceptance and re-treatment of the composite foundation, and provides a new solution for the composite foundation evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a flowchart of the vibroflotation gravel pile composite foundation quality evaluation method provided by one or more embodiments of the present application; Figure 2 is a structural block diagram of the vibroflotation gravel pile composite foundation quality evaluation device provided by one or more embodiments of the present application; Figure 3The hierarchical structure model for evaluating the quality of vibroflotation gravel pile composite foundation provided for one or more embodiments of the present application; Figure 4 The zoning map for evaluating the quality of composite foundation provided for one or more embodiments of the present application; Figure 5 The structural schematic diagram of the medium provided for one embodiment of the present application; Figure 6 The structural schematic diagram of the computing device provided for one embodiment of the present application.

[0019] The implementation, functional features, and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. Detailed implementation manners

[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 fully convey the scope of the present disclosure to those skilled in the art.

[0021] Those skilled in the art know that the embodiments of the present application can be implemented as a system, device, equipment, method, or 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 method for evaluating the quality of vibroflotation gravel pile composite foundation, and this method can be executed by a computer, such as Figure 1 As shown, this method may include the following steps: S10, Analyze the evaluation factors of the vibroflotation gravel pile composite foundation quality.

[0023] In an exemplary embodiment, step S10 may include the following steps: S110, Conduct the static load test of the composite foundation; S120, Evaluate the detection factors of the direct shear test in the laboratory; S130, Evaluate the treatment effect of the soil between piles; S140, Evaluate the engineering geological conditions.

[0024] Specifically, the overall process of the static load test of the composite foundation is as follows: The static load test of the composite foundation is carried out according to the service function of the pile. Axial pressure is gradually applied to the pile top, 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 methods to apply artificial load, simulates 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 influence 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 composite foundation bearing capacity is the basis for judging the quality of the vibro gravel pile foundation and is positively correlated with the quality of the composite foundation. The cumulative settlement of the pile body under the maximum load is negatively correlated with the quality of the composite foundation.

[0025] Next, the evaluation process of the indoor direct shear test detection factors 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 and compact them to the relative height of the controlled density. After planing the surface, fill the second layer and level the surface. Finally, collect the construction density of the pile body during the construction of the on-site vibro pile. According to the results of the indoor shear test, draw the relationship curve of shear stress and horizontal shear displacement, and draw the relationship curve of vertical stress and shear stress under different on-site density conditions. Analyze the test data to obtain the shear strength (c) and the internal friction angle (φ) values. The specification stipulates that the peak or stable value on the relationship curve of 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 test 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 vibro gravel pile foundation. Therefore, the shear strength of the pile body is positively correlated with the quality of the composite foundation.

[0026] Furthermore, the evaluation process of the treatment effect of the soil between piles is as follows: For the vibro gravel pile with granular material reinforcement, since the bearing capacity of the pile body 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 the indoor geotechnical test.

[0027] 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.

[0028] 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.

[0029] In addition, the evaluation results of the engineering geological conditions are as follows: The better the pile - end bearing layer of the engineering geological conditions, the better the quality of the composite foundation after treatment. Therefore, the pile - end bearing layer is positively correlated with the quality of the composite foundation.

[0030] S20, Determine the influencing factors based on the analysis results.

[0031] In an exemplary embodiment, in step S20, the influencing factors include the vibro - replacement pile body condition B1, the treatment effect of the soil between piles B2, the static load characteristics of the composite foundation B3, and the engineering geological conditions B4.

[0032] Specifically, the vibro - replacement pile body condition B1 includes the integrity of the pile body size C1, the shear strength of the pile body C2, and the number of blows in the dynamic penetration test C3. The treatment effect of the soil between piles B2 includes the standard penetration blow count C4 and the physical and mechanical properties of the soil between piles C5. The static load characteristics of the composite foundation B3 include the cumulative settlement of the pile body under the maximum load C6 and the characteristic value of the bearing capacity of the composite foundation C7. The engineering geological conditions B4 include the characteristics of the pile - end bearing layer C8.

[0033] S30, Obtain the combined weights of each index based on the determined influencing factors.

[0034] In an exemplary embodiment, step S30 may include the following steps: S310, Assign weights to the influencing factors respectively based on the AHP subjective weighting method and the CRITIC objective weighting method; S320, Establish a formula based on the principle of minimum information entropy and the Lagrange multiplier method, and optimize and solve the weights of the influencing factors to obtain the combined weights.

[0035] Specifically, the formula established in step S320 is as follows: (1) In the formula: minF is the combined weight; Q jis the optimal weight assignment of multi-source information by the AHP-entropy weight method; W j is the weight assignment by the AHP method; V j is the weight assignment by the CRITIC method; s.t. represents the constraints that need to be satisfied during the optimization process.

[0036] Furthermore, the AHP subjective weight assignment method is abbreviated as the AHP method. Its principle is to decompose the elements related to the decision-making into levels such as goals, criteria, and solutions, and on this basis, conduct qualitative and quantitative analysis of the decision-making method, which belongs to the subjective weight assignment method. The basic idea of the CRITIC weight assignment method is to determine the objective weights of the indicators based on the basic concepts of comparison intensity and indicator conflict. One is the comparison intensity, which represents the size of the value gap of each evaluation plan for the same indicator, and is expressed in the form of standard deviation. That is, the size of the standardized deviation indicates the size of the value gap of each plan within the same indicator. The larger the standard deviation, the larger the value gap of each plan. 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. To avoid the deficiencies of the AHP method and the CRITIC weight assignment method in subjective and objective weight assignment, make full use of their advantages, and improve the accuracy of the indicator weights, the principle of minimum information entropy and the Lagrange multiplier method are used to determine the weights of each evaluation indicator by the CRITIC weight assignment method and the AHP subjective weight assignment method, which solves the technical problem that the traditional method uses a single indicator for direct evaluation or a single weight assignment method for evaluation, resulting in a large subjective error in the weight assignment value.

[0037] Next, the steps of the AHP subjective weight assignment method will be elaborated in detail with examples: Step 1: Establish the AHP influence factor hierarchical structure model The AHP subjective weight assignment method is a practical decision-making method that combines qualitative analysis and quantitative analysis. It decomposes complex problems into several levels to form a progressive hierarchical structure, greatly simplifying the problem analysis process. It has the advantages of simplicity, systematicness, and reliability.

[0038] The main principle of the AHP subjective weight assignment method is to take the quality evaluation of the vibroflotation gravel pile composite foundation in the study area as the target layer (layer A), the vibroflotation pile body conditions, the treatment effect of the soil between piles, the static load characteristics of the composite foundation, and the engineering geological conditions as the intermediate layer (layer B) that affects the factors at layer A. Each specific influence factor constitutes the decision-making layer (layer C) of this model according to its subordination relationship to the main control influence factor. Based on this, Figure 3 the hierarchical analysis diagram of the influence factors of the quality of the vibroflotation gravel pile composite foundation shown in the figure is established.

[0039] Step 2: Establish the AHP judgment matrix and conduct consistency test Construct the judgment matrix. Make pairwise judgments on the indicators in the criterion layer to determine the weights of each criterion layer for the target layer. Taking m samples and n evaluation indicators as an example, construct the initial indicator matrix A:

[0040] where i and j are the row and column of the matrix respectively, and the elements in A satisfy the following formula: (2) In the formula: a ij is the index element; a kj is the j-th index element of the k-th layer; W i is the weight of each influencing factor.

[0041] For the factors affecting the quality of vibroflotation gravel pile composite foundation determined according to the test data, the Delphi expert consultation method is used to solicit opinions from the expert group in the form of letters. Through several information exchanges and feedback corrections, the opinions of each expert are gradually made consistent to obtain a collective judgment result with a high accuracy rate. The quantitative values of the influencing factors are given by the way of expert consultation scoring. Quantify the above influencing factors by scoring based on on-site production practice experience and scientific research experience, count the cumulative scores, compare the total scores among the factors, and form a judgment set of experts on each influencing factor. Thus, construct the judgment matrix for the AHP evaluation of the quality of vibroflotation gravel pile composite foundation in this area (as shown in Tables 1-4). The determined weights of the influencing factors are shown in Table 5.

[0042] Table 1 Judgment matrix A~Bi (i = 1~4)

[0043] Table 2 Judgment matrix B1~Ci (i = 1~3)

[0044] Table 3 Judgment matrix B2~Ci (i = 4~5)

[0045] Table 4 Judgment matrix B3~Ci (i = 6~7)

[0046] Table 5 Weights of influencing factors determined by AHP

[0047] Among them, in Table 1, CI = 0.0117, λ max = 4.0457; in Table 2, CI = 0.0176, λ max = 3.0183; In Table 3, CI = 0, λ max= 2; CI = 0 in Table 4, λ max = 2. CI is the single - sorting consistency index, λ max is the maximum eigenvalue of single - sorting.

[0048] In this embodiment, the judgment matrix is the core concept of the Analytic Hierarchy Process (AHP), which is used to represent the relative importance of each factor at each level. These judgments are represented numerically to form a matrix - shaped result.

[0049] The Analytic Hierarchy Process is a practical decision - making method that combines qualitative analysis and quantitative analysis. It decomposes complex problems into several levels to form a progressive hierarchical structure, greatly simplifying the problem - analysis process. It has the advantages of simplicity, systematicness, reliability, etc.

[0050] The main principle of the Analytic Hierarchy Process: Regarding the quality evaluation of vibro - replacement gravel pile composite foundation in the study area as the target layer (Layer A), the pile body conditions of vibro - replacement piles, the treatment effect of the soil between piles, the static load characteristics of the composite foundation, and the engineering geological conditions are the intermediate layer (Layer B) that affects the factors at Layer A. Each specific influencing factor constitutes the decision - making layer (Layer C) of this model according to its subordination relationship to the main control influencing factor. Based on this, the following Figure 3 is the analytic hierarchy diagram of the influencing factors of the quality of vibro - replacement gravel pile composite foundation as shown.

[0051] The consistency verification formula of the total - sorting matrix is as follows: (3) In the formula: CR is the total - sorting consistency ratio; CI i is the single - sorting consistency index; RI i is the single - sorting average random consistency index; W A / B I is the total - sorting weight.

[0052] According to the consistency judgment standard of the set confidence level: If CR < 0.10, it is considered that the determination of the weight coefficient of the judgment matrix meets the accuracy requirements. After calculation, CR is 0.0145 < 0.10, meeting the accuracy requirements.

[0053] Next, the objective weight value is specifically described: Suppose the data consists of n data samples and m indicators are defined. x ij is the index element, abstracted into mathematical language as follows: Step 1: Construct the initial data matrix X:

[0054] Among them, x ij is the i - th index and the j - th data element of X.

[0055] Step 2: Normalize the index data and establish a standard matrix. The indexes are divided into two types: positive indexes and negative indexes.

[0056] The normalization calculation formula for extremely large indexes (positive indexes) is as follows: (i = 1, 2, ……, m; j = 1, 2, ……, n) (4) 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.

[0057] The normalization calculation method for extremely small indexes (negative indexes): (i = 1, 2, ……, m; j = 1, 2, ……, n) (5) 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.

[0058] Step 3: Calculate the comparison intensity within the indexes

[0059] Use the standard deviation to represent the volatility of the j-th index, that is, the comparison intensity.

[0060] (6) Where, n is the sample quantity value; is the standard deviation; is the average value of the j-th index in Y.

[0061] Step 4: Calculate the conflict between indexes The conflict is represented by the correlation coefficient , that is: (7) Where, m is the index value; It 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.

[0062] Step 5: Calculate the information carrying capacity C j (8) where j is the j-th indicator; C j is the information carrying capacity of the j-th indicator; is the standard deviation; is the correlation coefficient between indicators.

[0063] Step 6: Calculate the weight V j (9) where j is the j-th indicator; C j is the information carrying capacity of the j-th indicator; is the standard deviation; is the correlation coefficient between indicators; C i is the information carrying capacity of the i-th indicator.

[0064] Step 7: Example calculation of the CRITIC method Based on the test data of the B1 vibroflotation pile body conditions (pile body dimension integrity C1, pile body shear strength C2, dynamic penetration hammer blow count C3), the treatment effect of the soil between piles B2 (standard penetration test blow count C4, physical and mechanical properties of the soil between piles C5), the static load characteristics of the composite foundation B3 (cumulative settlement of the pile body under the maximum load C6, characteristic value of the bearing capacity of the composite foundation C7), and the engineering geological conditions B4 (characteristics of the pile tip bearing layer C8) obtained from the test, using the data after normalization processing of each influencing factor index, calculate the contrast intensity within the indicators, the correlation coefficient between indicators, and the weight values of each influencing factor. The test results are shown in Table 6-9 below. As can be seen from the following table, the correlation coefficient is significantly correlated at the 0.05 level (two-tailed).

[0065] Table 6

[0066] Table 7

[0067] Table 8

[0068] Table 9

[0069] S40. Obtain the normalized thematic map of each of the said impact factor evaluation indicators based on the Kriging interpolation method.

[0070] In an exemplary embodiment, step S40 may include the following steps: S410. Perform dimensionless and normalized data processing on the impact factor indicators; S420. Multiply the impact factor indicators after dimensionless and normalized data processing by the combined weights of the determined impact factors; S430. Based on the Kriging interpolation method, utilize the numerical analysis ability of GIS to obtain the normalized thematic map of each impact factor evaluation indicator.

[0071] Specifically, in this exemplary embodiment, after the impact factor indicators are subjected to dimensionless and normalized data processing, they are multiplied by the combined weights of the determined impact factors, and the Kriging interpolation method is used to utilize the numerical analysis ability of GIS to obtain the normalized thematic map of each impact factor evaluation indicator.

[0072] 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.

[0073] S50. 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.

[0074] In an exemplary embodiment, step S50 may include the following steps: S510. Based on the information fusion overlay coupling function of GIS, overlay the normalized thematic maps; S520. Obtain the quality quantification index type zoning evaluation map of the entire area of the composite foundation.

[0075] In this exemplary embodiment, the integrated analysis module of the GIS geographic information system is used to multiply the data of 8 impact factors affecting the quality of the vibro gravel pile composite foundation by the combined weights, and the overlay coupling is performed. The calculated index value is used to reflect the quality evaluation of the vibro gravel pile composite foundation. The calculation formula is as described in formula (10), where positive correlation is addition and negative correlation is subtraction. The larger the calculated value W, the better the treatment effect of the vibro gravel pile composite foundation. Thus, it comprehensively reflects the quality evaluation of the vibro gravel pile composite foundation and accordingly conducts the quality zoning of the vibro gravel pile composite foundation.

[0076] (10) 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.

[0077] S60, classify and grade the quality quantization index type zoning evaluation map, so as to conduct zonal evaluation on the quality of vibroflotation gravel pile composite foundation in the whole area. The specific quality zoning grade map of the composite foundation is as follows Figure 4 shown.

[0078] In an exemplary embodiment, step S60 may include the following steps: S610, grade the index values based on the dynamic natural grading method, and divide them into five grades according to different thresholds; S620, divide the whole area quality evaluation map into excellent foundation treatment quality area, relatively excellent area, transition area, general area and warning area based on the grading results.

[0079] Specifically, this embodiment conducts zonal evaluation on the uniformity of the quality of the treated composite foundation in this area. By using the powerful data management and spatial analysis functions and information fusion technology of GIS, an information fusion type composite foundation quality quantization index type zonal evaluation oriented to GIS is created. Through the quality index zoning map of this vibroflotation gravel pile composite foundation, the quality balance of the foundation treated by the vibroflotation pile here and the risk of settlement in different areas of the treated foundation can be zoned. According to the results of model statistics, the index 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, general area, and warning area.

[0080] A method for evaluating the quality of a vibroflotation gravel pile composite foundation provided by the above embodiment analyzes the quality evaluation factors of the vibroflotation gravel pile composite foundation, determines the influence factor weight values required by the influence factors, and thus obtains the combined weights of each index, making the evaluation comprehensive and greatly reducing the error of the evaluation results. It can truly reflect the quality of the vibroflotation gravel pile composite foundation based on multiple test information sources; through the GIS overlay coupling function, each influence factor is coupled and zoned in the same map, which solves the problem of single quality evaluation dimension to a certain extent, can realize zonal evaluation and grading of the whole area, improves the accuracy of the evaluation of the treated foundation, provides specific and visual guidance for the acceptance and re-treatment of the composite foundation, and provides a new solution for the evaluation of the composite foundation.

[0081] On the basis of the above embodiment, referring to Figure 2 , another embodiment of the present application further provides a device for evaluating the quality of a vibroflotation gravel pile composite foundation. The device 200 for evaluating the quality of a vibroflotation gravel pile composite foundation may include the following modules: Analysis module 210, configured to analyze the quality evaluation factors of the vibroflotation gravel pile composite foundation; Factor determination module 220, configured to determine the influence factors based on the analysis results; A weight acquisition module 230, configured to obtain the combined weights of each index based on the determined influencing factors; A thematic map acquisition module 240, configured to obtain a normalized thematic map of each of the influencing factor evaluation indexes based on the Kriging interpolation method; An overlay module 250, configured to overlay the normalized thematic maps based on the GIS overlay coupling function to obtain a quality quantification index type zoning evaluation map for the entire region of the composite foundation; A quality evaluation module 260, configured to classify and grade the quality quantification index type zoning evaluation map, so as to perform zoning evaluation on the quality of the vibroflotation gravel pile composite foundation in the entire region.

[0082] Based on the above embodiments, an embodiment of the present application further provides a computer-readable storage medium, refer to Figure 5 , 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 each step recorded in the above method embodiments. For example, analyze the quality evaluation factors of the vibroflotation gravel pile composite foundation; determine the influencing factors based on the analysis results; obtain the combined weights of each index based on the determined influencing factors; obtain a normalized thematic map of each of the influencing factor evaluation indexes based on the Kriging interpolation method; overlay the normalized thematic maps based on the GIS overlay coupling function to obtain a quality quantification index type zoning evaluation map for the entire region of the composite foundation; classify and grade the quality quantification index type zoning evaluation map, so as to perform zoning evaluation on the quality of the vibroflotation gravel pile composite foundation in the entire region. The specific implementation manners of each step will not be repeated here.

[0083] 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 here one by one.

[0084] In addition, based on the above embodiments, an embodiment of the present application further provides a computing device, Figure 6 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 6 The shown computing device 60 is only an example and should not bring any limitation to the functions and usage scope of the embodiments of the present application.

[0085] Such as Figure 6As 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 the system memory 602 and the processing unit 601.

[0086] 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 nonvolatile media, removable and non-removable media.

[0087] 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 / nonvolatile computer system storage media. By way of example only, ROM 6023 can be used to read and write on non-removable, nonvolatile magnetic media ( Figure 6 not shown in the figure and commonly referred to as a "hard disk drive"). Although not shown in Figure 6 the figure, a disk drive for reading and writing on removable nonvolatile disks (such as "floppy disks"), and an optical disk drive for reading and writing on removable nonvolatile optical disks (such as CD-ROM, DVD-ROM, or other optical media) can be provided. In these cases, each drive can be coupled to bus 603 that couples different system components via one or more data media interfaces. The 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 perform the functions of the embodiments of the present application.

[0088] A program / utility 6025 having a set (at least one) of program modules 6024 can 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, and an implementation of a network environment may be included in each or some combination of these examples. The program modules 6024 generally perform the functions and / or methods described in the embodiments of the present application.

[0089] Computing device 60 can also communicate with one or more external devices 604 (such as a keyboard, a pointing device, a display, etc.). Such communication can be through an input / output (I / O) interface 605. Also, computing device 60 can 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) through a network adapter 606. As Figure 6As shown, the network adapter 606 communicates with other modules (such as the processing unit 601, etc.) of the computing device 60 through the bus 603 that connects different system components. It should be understood that although Figure 6 not shown in Figure 6 , other hardware and / or software modules can be used in combination with the computing device 60.

[0090] The processing unit 601 executes various functional applications and data processing by running programs stored in the system memory 602. For example, it analyzes the quality evaluation factors of vibroflotation gravel pile composite foundations; determines the influencing factors based on the analysis results; obtains the combined weights of each index based on the determined influencing factors; obtains the normalized thematic maps of each of the influencing factor evaluation indicators based on the Kriging interpolation method; overlays the normalized thematic maps based on the GIS overlay coupling function to obtain the quality quantitative index type zoning evaluation map of the entire composite foundation area; divides and grades the quality quantitative index type zoning evaluation map to conduct a zonal evaluation of the quality of the vibroflotation gravel pile composite foundation in the entire area. 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 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.

[0091] 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 understood as indicating or implying relative importance.

[0092] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here.

[0093] 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 can 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 couplings or direct couplings or communication connections shown or discussed with each other can be through some communication interfaces, and the indirect couplings or communication connections of devices or units can be in electrical, mechanical, or other forms.

[0094] The unit described as a separate component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or may be distributed across 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.

[0095] In addition, each functional unit in the various embodiments of the present application may be integrated in a processing unit, may exist physically separately for each unit, or two or more units may be integrated in one unit.

[0096] 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 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 the 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.

[0097] 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 it. 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 by 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.

[0098] 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 operations shown must be performed to achieve the desired result. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step for execution, and / or one step may be decomposed into multiple steps for execution.

Claims

1. A method for evaluating the quality of vibro-stone pile composite foundation, characterized in that: The method comprises the following steps: S10, analyze the quality evaluation factors of vibro-replacement crushed stone column composite foundation; S20, determine the impact factor based on the analysis results; S30, obtaining the combined weight of each indicator based on the determined influencing factors; S40, obtaining normalized thematic maps of evaluation indicators of each of the impact factors based on the Kriging interpolation method; S50, 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; S60, dividing and grading the quality quantification index type zoning evaluation diagram, thereby performing zoning evaluation on the quality of the vibro-compacted gravel pile composite foundation in the entire area.

2. A method for evaluating the quality of vibro-stone pile composite foundation according to claim 1, characterized in that: Step S10 includes the following steps: S110, conduct static load test on composite foundation; S120, evaluation of detection factors for indoor direct shear tests; S130, evaluate the effect of soil treatment between piles; S140, evaluate the engineering geological conditions.

3. The method for evaluating the quality of vibro-stone pile composite foundation according to claim 1, characterized in that: In step S20, the influencing factors include the vibro-impact pile body condition B1, the soil treatment effect between piles B2, the static load characteristics of the composite foundation B3 and the engineering geological conditions B4.

4. The method for evaluating the quality of vibro-stone pile composite foundation according to claim 1, characterized in that: Step S30 includes: S310, assigning weights to the impact factors based on the AHP subjective weighting method and the CRITIC objective weighting method; S320, based on the minimum information entropy principle and the Lagrange multiplier method, a formula is established to optimize and solve the weights of the influencing factors and obtain the combined weights.

5. The method for evaluating the quality of vibro-stone pile composite foundation according to claim 1, characterized in that: Step S40 includes: S410, dimensionless and normalized data processing of impact factor indicators; S420, multiplying the impact factor index after dimensionless and normalized data processing by the determined combined weight of each impact factor; S430, 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.

6. A method for evaluating the quality of vibro-stone pile composite foundation according to claim 1, characterized in that: Step S50 includes: S510, based on the GIS information fusion overlay coupling function, overlaying the normalized thematic maps; S520, obtaining a quality quantitative index-type zoning evaluation map of the entire composite foundation area.

7. A method for evaluating the quality of vibro-stone pile composite foundation according to claim 4, characterized in that: The formula established in step S320 is as follows: （1） Where: minF is the combined weight; Q j W is the optimal weighting of multi-source information according to AHP-entropy weight method; j Assign weights to the AHP method; V j Assign weights to the CRITIC method; st represents the constraints that need to be met during the optimization process.

8. The method for evaluating the quality of vibro-stone pile composite foundation according to claim 1, characterized in that: Step S60 includes: S610, grading the index value based on a dynamic natural grading method, and grading it into five levels according to different thresholds; S620, 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.

9. A vibro-replacement crushed stone pile composite foundation quality evaluation device, characterized in that: include: Analysis module, used to analyze the quality evaluation factors of vibro-stone pile composite foundation; A factor determination module, used to determine the influencing factors based on the analysis results; A weight acquisition module is used to obtain the combined weight of each indicator based on the determined influencing factors; A thematic map acquisition module is used to obtain normalized thematic maps of the impact factor evaluation indicators based on the Kriging interpolation method; An overlay module is used to overlay the normalized thematic maps based on the GIS overlay coupling function to obtain a quality quantitative index-type zoning evaluation map of the entire composite foundation area; The quality evaluation module is used to divide and grade the quality quantitative index type zoning evaluation diagram, so as to perform zoning evaluation on the quality of the vibro-compacted crushed stone pile composite foundation in the whole area.

10. A computing device, characterized in that The computing device comprises: at least one processor, memory, and input-output unit; The memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute the method for evaluating the quality of vibro-stone pile composite foundation according to any one of claims 1 to 8.

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