Drain board consolidation bearing capacity global evaluation method under digital construction

Abstract

The invention provides a drainage plate consolidation bearing capacity global evaluation method under digital construction. The drainage plate consolidation bearing capacity global evaluation method comprises the following steps that drainage plate construction quality parameters are monitored in real time; a model is corrected based on the construction quality of the drain board; establishing a soil shear strength increment regression model; correcting the Terzahi formula based on the construction quality parameters of the drain board; predicting the consolidation bearing capacity of the drainage plate under real-time monitoring of construction quality; and carrying out global evaluation on the foundation consolidation bearing capacity. The method has the advantages that the construction quality, monitored in real time, of the drainage plate is directly associated with the foundation bearing capacity through the digital construction technology, the actual consolidation process of the soil body is reflected more accurately, and therefore the prediction precision of the consolidation bearing capacity is improved; the construction quality of the drainage plate is monitored in real time through the digital construction technology, the foundation bearing capacity at any position of the construction area of the drainage plate is predicted, global evaluation of the foundation bearing capacity is achieved, and the bearing capacity spatial anisotropy caused by the construction quality difference is accurately reflected.

Description

Technical Field

[0001] This invention belongs to the field of drainage board construction in soft soil foundation treatment, and in particular relates to a method for comprehensive evaluation of the consolidation bearing capacity of drainage boards under digital construction. Background Technology

[0002] In the renovation and expansion of gate pump systems, the treatment of deep soft soil foundations is one of the key technical challenges. Currently, my country's soft soil foundation treatment technology system can be mainly summarized into four categories: drainage consolidation method, composite foundation method, stress improvement method, and dynamic compaction method. Due to its economy and effectiveness, the drainage consolidation method has become the preferred solution for foundation treatment in soft soil areas. Specifically, it includes a series of technologies such as surcharge preloading, plastic drainage board preloading, sand well preloading, bagged sand well preloading, and vacuum preloading. Among these, the plastic drainage board preloading method occupies an important position in the field of soft soil foundation treatment due to its unique engineering advantages. This technology, by implanting polymer drainage boards into the soft soil layer and combining the combined effect of preloading, can effectively construct three-dimensional drainage channels, significantly shorten the soil consolidation time, and thus achieve the dual goals of improving foundation bearing capacity and controlling post-construction settlement. Engineering practice shows that the product performance parameters of the plastic drainage board (water flow rate, tensile strength, and filter membrane permeability) and its construction quality directly determine the foundation treatment effect. On the other hand, since the construction of drainage boards is a concealed and irreversible project, quality control during the construction process is particularly crucial. Therefore, the quality control of drainage board construction should be emphasized. Previous field tests and numerical simulation studies have shown that precise control of drainage board construction parameters (planar spacing 1.0-1.5m, installation depth penetrating the soft soil layer, verticality deviation ≤1.5%) directly affects the drainage consolidation efficiency and effect of soft soil foundations, thus significantly impacting the foundation bearing capacity.

[0003] Currently, there are many methods for calculating the bearing capacity of foundations. Different researchers have developed formulas for calculating foundation bearing capacity based on different assumed sliding surfaces, such as the Terzaghi K formula, the Hanson formula, and the Skenpton formula. The "Code for Design of Building Foundations" (GB50007-2002) provides a formula for calculating the critical load when the maximum depth of the allowable plastic zone is 1 / 4 of the foundation width. Conventional methods for calculating foundation bearing capacity mainly rely on theoretical formulas, but these formulas do not consider the influence of the actual construction quality of drainage boards on the mechanical properties of soft soil foundations. The main function of drainage boards is to accelerate the drainage and consolidation of the soil, thereby increasing the soil strength and reducing settlement. The drainage and consolidation process is essentially the gradual removal of pore water, increasing effective stress. As effective stress increases, the soil gradually consolidates, and its strength also increases, thus increasing the foundation bearing capacity. In conventional soft soil foundation design, the geological survey report obtained from the geological survey of the project area before construction is generally used. However, the changes in the shear strength of soft soil caused by the application of additional stress during construction and the further consolidation of the soil are not considered. Therefore, the calculation of the bearing capacity of soft soil foundation is relatively conservative.

[0004] Therefore, this paper proposes a digital construction method for predicting the consolidation bearing capacity of drainage boards under actual construction quality. This method considers the influence of spacing, verticality, and installation depth of the drainage boards on the soil strength during the consolidation process. When establishing the model, these construction parameters are transformed into corrections for the increment of soil shear strength, which are then substituted into the bearing capacity calculation formula to improve the accuracy of foundation bearing capacity calculation. Simultaneously, it enables a comprehensive assessment of foundation bearing capacity, which is of great significance for ensuring the safety of foundation engineering. Summary of the Invention

[0005] In view of this, the present invention aims to propose a method for comprehensive evaluation of the consolidation bearing capacity of drainage boards under digital construction, in order to solve the problem that the existing conventional methods are relatively conservative in calculating the bearing capacity of the foundation because they do not consider the influence of the actual construction quality of the drainage boards on the mechanical properties of the soft soil foundation.

[0006] To achieve the above objectives, the technical solution of the present invention is implemented as follows:

[0007] A method for comprehensive assessment of the consolidated bearing capacity of drainage boards under digital construction includes the following steps:

[0008] S1. Real-time monitoring of drainage board construction quality parameters;

[0009] S2. Establish a correction model based on the construction quality of drainage boards;

[0010] S3. Establish an incremental regression model for soil shear strength;

[0011] S4. The Terzaghi formula is modified based on the construction quality parameters of the drainage board.

[0012] S5. Real-time monitoring of construction quality to predict the consolidation bearing capacity of drainage boards;

[0013] S6. Comprehensive assessment of foundation consolidation bearing capacity;

[0014] In step S6, the overall assessment of the foundation consolidation bearing capacity includes:

[0015] S61. Conduct on-site construction test sections of drainage boards;

[0016] S62. Real-time data collection during construction process;

[0017] S63. Drainage board construction quality assessment;

[0018] S64. Spatial interpolation of foundation consolidation bearing capacity;

[0019] S65. On-site construction control of drainage boards.

[0020] Furthermore, in step S1, the construction quality parameters of the drainage board are monitored in real time, including:

[0021] Intelligent monitoring equipment for the construction process of drainage boards, customized using digital construction technology, enables real-time recording and monitoring of the process quality during drainage board construction.

[0022] Furthermore, in step S2, a correction model based on the construction quality of the drainage board is established, including:

[0023] S21. Considering the influence of drainage board spacing, the drainage consolidation effect can be considered by modifying the effective drainage spacing or introducing a reduction factor. The formula for modifying the effective drainage board spacing is as follows:

[0024] S eff =α s ·S (x,y) (1);

[0025] In the formula, S eff For effective drainage board spacing, S (x,y) α is the actual measured spacing between drainage boards. S This is a dimensionless correction factor for the effective drainage board spacing.

[0026] S22. Considering the influence of the installation depth, the installation depth of the drainage board is corrected, and a correction coefficient for the installation depth of the drainage board is introduced. The effective formula for correcting the installation depth of the drainage board is as follows:

[0027] L eff =α L ·L (x,y) (2);

[0028] Among them, L eff For effective drainage board installation depth, L (x,y) For the depth of the drainage board, α L A depth correction factor is applied to the effective drainage board; this factor is dimensionless.

[0029] S23. Considering the influence of verticality, the effective drainage board verticality correction formula is as follows:

[0030] θ eff =α θ ·θ (x,y) (3);

[0031] Where, θ eff For effective drainage board verticality, θ (x,y) To measure the verticality of the drainage board, α θ This is the dimensionless correction factor for the verticality of the effective drainage board.

[0032] Furthermore, in step S3, an incremental regression model for soil shear strength is established, including:

[0033] The construction parameters are transformed into corrections for the soil shear strength. The expression for the incremental regression model of soil shear strength is as follows:

[0034] Δc u =β·f(S) eff ,L eff ,θ eff (4);

[0035] Where β is the empirical coefficient (dimension: kPa), f(·) is the regression function, and Δc u This represents the increase in shear strength.

[0036] Furthermore, construction parameters include the spacing of drainage boards, installation depth, and verticality.

[0037] Furthermore, in step S4, the Terzaghi formula is modified based on the drainage board construction quality parameters, including:

[0038] Substituting the shear strength increment from step S3 into the traditional foundation bearing capacity formula, we obtain the foundation bearing capacity considering the actual construction quality of the drainage board. The expression of the Terzaghi formula, modified based on the drainage board construction quality parameters, is as follows:

[0039] q u =(c u +Δc u )N c +γD f N q +0.5γBN γ (5);

[0040] Substituting formula (4) into formula (5), we obtain the formula for predicting the consolidation bearing capacity of the drainage board under digital construction, and its expression is as follows:

[0041] q u =(c u +α·f(S eff ,L eff ,θ eff ))N c +γD f N q +0.5γBN γ (6);

[0042] Where, q u : Foundation bearing capacity (kPa), c u γ: Natural undrained shear strength of soil (kPa), γ: Soil weight (kN / m³), D f B: Foundation depth (m), N: Foundation width (m), N c N q N γ : Bearing capacity coefficient (dimensionless), f(·) can be determined by regression or machine learning methods.

[0043] Furthermore, in step S5, the prediction of the consolidation bearing capacity of the drainage board under real-time monitoring of construction quality includes:

[0044] S51, the foundation bearing capacity q obtained from the construction test section u As the output, the construction quality parameters s, L, θ at the location of the corresponding bearing capacity test collected in real time in step S1 are used as input, and a quantitative relationship model between the construction quality parameters and the foundation bearing capacity is established through multiple regression or machine learning methods.

[0045] S52. Substitute the drainage board construction quality parameters collected in real time at any construction location in step S1 into formula (7) to obtain the foundation bearing capacity at the corresponding location.

[0046] Furthermore, in step S61, a field construction test section of the drainage board is carried out, including:

[0047] Establish a quantitative relationship model between construction quality parameters and foundation bearing capacity based on step S5;

[0048] Furthermore, in step S62, construction process data is collected in real time, including:

[0049] The real-time monitoring system for the digital construction quality of drainage boards is used to collect construction quality data in real time during the construction process. The construction quality data includes drainage board spacing, drainage board installation depth, verticality and their corresponding position coordinates.

[0050] Furthermore, in step S63, the drainage board construction quality estimation includes:

[0051] Substitute the parameters from step S62 into the foundation bearing capacity calculation model established in step S1 to calculate the foundation consolidation bearing capacity at the parameter collection location.

[0052] Furthermore, in step S64, the spatial interpolation of the foundation consolidation bearing capacity includes:

[0053] The Kriging spatial interpolation method was used to interpolate the entire construction area of ​​the drainage board to obtain a cloud map of the foundation consolidation bearing capacity of the entire working surface;

[0054] Furthermore, in step S65, the on-site construction control of the drainage board includes:

[0055] Based on the foundation consolidation bearing capacity assessment results and the on-site drainage board construction control requirements, on-site construction was guided, and drainage boards were installed in unqualified areas.

[0056] Compared with existing technologies, the digital construction-based method for comprehensive evaluation of the consolidation bearing capacity of drainage boards described in this invention has the following advantages:

[0057] (1) By using digital construction technology, the construction quality of drainage boards (spacing, depth, verticality) monitored in real time is directly correlated with the bearing capacity of the foundation, which more accurately reflects the actual consolidation process of the soil and thus improves the prediction accuracy of the consolidation bearing capacity.

[0058] (2) By using digital construction technology to monitor the construction quality of drainage boards in real time, the bearing capacity of the foundation at any location in the drainage board construction area can be predicted, so as to realize the full-area assessment of the bearing capacity of the foundation and accurately reflect the spatial anisotropy of bearing capacity caused by differences in construction quality. Attached Figure Description

[0059] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0060] Figure 1 This is a schematic diagram of the process for comprehensive evaluation of the consolidation bearing capacity of drainage boards during digital construction, as described in an embodiment of the present invention. Detailed Implementation

[0061] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other.

[0062] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0063] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art will understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0064] The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0065] like Figure 1 As shown, a method for comprehensive assessment of the consolidation bearing capacity of drainage boards under digital construction includes the following steps:

[0066] S1. Real-time monitoring of drainage board construction quality parameters;

[0067] S2. Establish a correction model based on the construction quality of drainage boards;

[0068] S3. Establish an incremental regression model for soil shear strength;

[0069] S4. The Terzaghi formula is modified based on the construction quality parameters of the drainage board.

[0070] S5. Real-time monitoring of construction quality to predict the consolidation bearing capacity of drainage boards;

[0071] S6. Comprehensive assessment of foundation consolidation bearing capacity.

[0072] The specific implementation method is as follows:

[0073] Step 1: Real-time monitoring of drainage board construction quality parameters

[0074] The system utilizes dual-antenna positioning technology to monitor the insertion board position and employs a metering insertion board sensor to measure the insertion board depth and insertion time. The main positioning antenna, secondary positioning antenna, metering insertion board quantity sensor, and tilt sensor are all connected to the main control unit to complete the data acquisition process. The main control unit includes a high-performance CPU controller, a high-precision inertial navigation positioning board connected to both the main and secondary positioning GNSS antennas, a 4G / 5G communication module connected to an external 4G (5G) antenna, a Bluetooth / WIFI module connected to an external WIFI antenna, a display module connected to a display terminal, built-in memory, a high-performance power supply module, and sensor interfaces. The high-performance CPU controller connects to a high-precision inertial navigation positioning board, a 4G / 5G communication module, a Bluetooth and WIFI module, a display module, a built-in memory, a high-performance power supply module, and a sensor interface to acquire signals from the metering sensor for the insertion board and the tilt sensor to obtain insertion board depth data. It uses dual-antenna positioning to obtain position data, heading data, and fuselage attitude data of the insertion machine for real-time analysis to determine the construction status of the insertion machine, provide high-precision positioning data, analyze GNSS data and sensor data in real time, calculate the insertion board depth, and can also transmit data back to the data center cloud platform. The main control unit also connects to the display terminal and remote server to achieve real-time monitoring of construction quality data (drainage board spacing, drainage board installation depth, and verticality).

[0075] Step 2: Correction Model Based on Drainage Board Construction Quality

[0076] The impact of the construction quality data collected in step one on the drainage consolidation process was analyzed, and a correction model based on the construction quality of the drainage board was established to correct the error caused by the construction quality of the drainage board in the calculation of the foundation bearing capacity.

[0077] Considering the impact of drainage board spacing: the smaller the spacing, the shorter the drainage path, the faster the consolidation rate, and the more significant the increase in soil strength. The drainage consolidation effect can be considered by modifying the effective drainage spacing or introducing a reduction factor. Effective drainage board spacing correction formula:

[0078] S eff =α s ·S (x,y) (1);

[0079] Among them, S eff For effective drainage board spacing, S (x,y) α is the actual measured spacing between drainage boards. S This is the effective drainage board spacing correction factor, which is dimensionless.

[0080] Considering the impact of installation depth: If the drainage board does not penetrate the soft soil layer, the remaining soft soil portion may still experience significant settlement and low bearing capacity. Therefore, the installation depth of the drainage board is corrected, and a correction factor for installation depth is introduced. The formula for correcting the effective installation depth of the drainage board is:

[0081] L eff =α L ·L (x,y) (2);

[0082] Among them, L eff For effective drainage board installation depth, L (x,y) For the depth of the drainage board, α L A depth correction factor is applied to the effective drainage board; this factor is dimensionless.

[0083] Consider the impact of verticality: If the drainage board is not installed vertically, it may lead to an increase in drainage paths or uneven drainage effect.

[0084] Effective drainage board verticality correction formula:

[0085] θ eff =α θ ·θ (x,y) (3);

[0086] Where, θ eff For effective drainage board verticality, θ (x,y) To measure the verticality of the drainage board, α θ This is the dimensionless correction factor for the verticality of the effective drainage board.

[0087] Step 3: Incremental Regression Model for Soil Shear Strength

[0088] The spacing, verticality, and installation depth of drainage boards affect drainage effectiveness, specifically by reducing pore water pressure, increasing effective stress, and increasing soil shear strength. To accurately calculate foundation bearing capacity while considering the actual construction quality of the drainage boards, an incremental shear strength model is established, transforming these construction parameters into corrections for soil shear strength. The incremental regression model for soil shear strength can be written as:

[0089] Δc u =β·f(S) eff ,L eff ,θ eff (4);

[0090] Where β is the empirical coefficient (dimension: kPa), f(·) is the regression function, and Δc u This represents the increase in shear strength.

[0091] Step 4: Correct the Terzaghi formula based on drainage board construction quality parameters

[0092] Substituting the shear strength increment from step three into the traditional foundation bearing capacity formula yields the foundation bearing capacity considering the actual construction quality of the drainage board. The Terzaghi formula, modified based on the drainage board construction quality parameters, is as follows:

[0093] q u =(c u +Δc u )N c +γD f N q +0.5γBN γ (5);

[0094] Substituting formula (4) into formula (5), we can obtain the formula for predicting the consolidation bearing capacity of drainage boards under digital construction:

[0095] q u =(c u +α·f(S eff ,L eff ,θ eff ))N c +γD f N q +0.5γBN γ (6);

[0096] Where, q u : Foundation bearing capacity (kPa), c u γ: Natural undrained shear strength of soil (kPa), γ: Soil weight (kN / m³), D f B: Foundation depth (m), N: Foundation width (m), N c N q N γ : Bearing capacity coefficient (dimensionless), f(·) can be determined by regression or machine learning methods.

[0097] Step 5: Prediction of the Consolidation Bearing Capacity of Drainage Board under Real-time Monitoring of Construction Quality

[0098] (1) The bearing capacity of the foundation (q) obtained through the construction test section u As the output, the construction quality parameters (s,L,θ) at the location of the corresponding bearing capacity test collected in real time in step one are used as the input to establish a quantitative relationship model between the construction quality parameters and the foundation bearing capacity through multiple regression or machine learning methods (i.e., Equation (7)).

[0099] (2) By substituting the drainage board construction quality parameters collected in real time at any construction location in step one into the established formula (7), the bearing capacity of the foundation at the corresponding location can be obtained.

[0100] The specific steps for establishing a soil shear strength regression model based on the Transformer algorithm are as follows:

[0101] 1. Obtain construction quality information of different coordinate points of the foundation through the drainage board construction monitoring device and correct it according to step 2. Encode the corrected construction quality parameters and test result parameters with features. The construction quality information includes board spacing, depth, verticality, and the test result parameters include static cone penetration test results, standard penetration test results, vane shear test results, or static load test results.

[0102] 2. Obtain the center position of the foundation location point O1 and the center position of the other N-1 related locations. Using the center position as the origin of the coordinate system, obtain the coordinate information of the N locations. Calculate the Euclidean distance of the N locations relative to the origin of the coordinate system based on the coordinate information of the N locations. Use this Euclidean distance as the location information of the N locations and obtain the distance adjacency matrix.

[0103] 3. Vectorize the relevant parameters after feature encoding of foundation location point O1, and then concatenate the vectorized parameters of all foundation location points to construct the foundation feature matrix; vectorize the soil shear strength corresponding to the location point to obtain the soil shear strength label.

[0104] 4. Process all locations of the foundation according to steps 1–3 to obtain the foundation feature matrix, distance adjacency matrix, and soil shear strength label.

[0105] 5. Preprocess the distance adjacency matrix and foundation feature matrix of the foundation and partition the dataset:

[0106] a. Take the reciprocal of the values ​​in the distance-adjacency matrix;

[0107] b. Normalize the reciprocal distance adjacency matrix using the normalization formula;

[0108] c. Next, the foundation feature matrix is ​​standardized along the corresponding feature dimensions;

[0109] d. Divide the normalized distance adjacency matrix and the standardized ground feature matrix into training and test sets in a random ratio of 7:3 or 8:2.

[0110] After adopting the above scheme, the foundation feature matrix is ​​learned by using a deep learning network, and attention learning is performed by combining the location point features. The distance matrix information is fused to realize the update of attention and the deep optimization of feature information. Considering the prediction performance of soil shear strength, the distance information of different locations under the foundation and the soil shear strength prediction information are correlated to enhance the model's ability to predict the soil shear strength at different locations, and finally realize the effective prediction of soil foundation bearing capacity.

[0111] Step Six: Comprehensive Assessment of Foundation Consolidation Bearing Capacity

[0112] To achieve a comprehensive assessment of the foundation consolidation bearing capacity, a real-time monitoring system for the digital construction quality of drainage boards was used to collect real-time construction quality data (drainage board spacing, installation depth, verticality, and corresponding coordinates). The foundation bearing capacity at the collected location was calculated using equation (7). Spatial interpolation was then used to interpolate the foundation bearing capacity at any location to obtain a cloud map of the foundation bearing capacity across the entire working surface. Combined with the on-site drainage board construction control standards, the system guided the on-site construction, and re-installed drainage boards in unqualified areas to ensure that the foundation consolidation bearing capacity met the standards. The specific implementation steps are as follows:

[0113] (1) Conduct on-site construction test sections of drainage boards. Establish a quantitative relationship model between construction quality parameters and foundation bearing capacity based on step five.

[0114] (2) Real-time data collection during construction. The construction quality data of drainage boards (drainage board spacing, drainage board installation depth, verticality and corresponding position coordinates) are collected in real time during the construction process using a digital construction quality monitoring system for drainage boards.

[0115] (3) Drainage board construction quality estimation. Substitute the above parameters into the foundation bearing capacity calculation model established in step 1, and calculate the foundation consolidation bearing capacity at the location where the above parameters were collected.

[0116] (4) Spatial interpolation of foundation consolidation bearing capacity. The Kriging spatial interpolation method was used to interpolate the entire construction area of ​​the drainage board to obtain the foundation consolidation bearing capacity cloud map of the entire working surface.

[0117] (5) On-site construction control of drainage boards. Based on the assessment results of the foundation consolidation bearing capacity and the on-site construction control requirements of drainage boards, on-site construction can be guided, and drainage boards can be installed in unqualified areas to ensure that the construction quality of drainage boards meets the standards and the foundation consolidation bearing capacity is qualified.

[0118] The advantages and beneficial effects of this invention are as follows:

[0119] (1) By using digital construction technology, the construction quality of drainage boards (spacing, depth, verticality) monitored in real time is directly correlated with the bearing capacity of the foundation, which more accurately reflects the actual consolidation process of the soil and thus improves the prediction accuracy of the consolidation bearing capacity.

[0120] (2) By using digital construction technology to monitor the construction quality of drainage boards in real time, the bearing capacity of the foundation at any location in the drainage board construction area can be predicted, so as to realize the full-area assessment of the bearing capacity of the foundation and accurately reflect the spatial anisotropy of bearing capacity caused by differences in construction quality.

[0121] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for comprehensive evaluation of the consolidated bearing capacity of drainage boards under digital construction, characterized in that: Includes the following steps: S1. Real-time monitoring of drainage board construction quality parameters; S2. Establish a correction model based on the construction quality of drainage boards; S3. Establish an incremental regression model for soil shear strength; S4. The Terzaghi formula is modified based on the construction quality parameters of the drainage board. S5. Real-time monitoring of construction quality to predict the consolidation bearing capacity of drainage boards; S6. Comprehensive assessment of foundation consolidation bearing capacity; In step S6, the overall assessment of the foundation consolidation bearing capacity includes: S61. Conduct on-site construction test sections of drainage boards; S62. Real-time data collection during construction process; S63. Drainage board construction quality assessment; S64. Spatial interpolation of foundation consolidation bearing capacity; S65. On-site construction control of drainage boards.

2. The method for comprehensive evaluation of the consolidation bearing capacity of drainage boards under digital construction as described in claim 1, characterized in that: In step S1, the construction quality parameters of the drainage board are monitored in real time, including: Intelligent monitoring equipment for the construction process of drainage boards, customized using digital construction technology, enables real-time recording and monitoring of the process quality during drainage board construction.

3. The method for comprehensive evaluation of the consolidation bearing capacity of drainage boards under digital construction as described in claim 1, characterized in that: In step S2, a correction model based on the construction quality of the drainage board is established, including: S21. Considering the influence of drainage board spacing, the drainage consolidation effect is considered by modifying the effective drainage spacing; the formula for modifying the effective drainage board spacing is: S eff =a s ·S (x,y) (1); Among them, S eff For effective drainage board spacing, S (x,y) α is the actual measured spacing between drainage boards. S This is a dimensionless correction factor for the effective drainage board spacing. S22. Considering the influence of the installation depth, the installation depth of the drainage board is corrected, and a correction coefficient for the installation depth of the drainage board is introduced. The effective formula for correcting the installation depth of the drainage board is as follows: L eff =a L ·L (x,y) (2); Among them, L eff For effective drainage board installation depth, L (x,y) For the depth of the drainage board, α L A depth correction factor is applied to the effective drainage board; this factor is dimensionless. S23. Considering the influence of verticality, the effective drainage board verticality correction formula is as follows: i eff =a θ ·i (x,y) (3); Where, θ eff For effective drainage board verticality, θ (x,y) To measure the verticality of the drainage board, α θ This is the dimensionless correction factor for the verticality of the effective drainage board.

4. The method for comprehensive evaluation of the consolidation bearing capacity of drainage boards under digital construction as described in claim 1, characterized in that: In step S3, an incremental regression model for soil shear strength is established, including: The construction quality parameters are transformed into corrections for the soil shear strength. The expression for the incremental regression model of soil shear strength is as follows: Δc u =β·f(S eff ,L eff ,i eff ) (4); Where β is the empirical coefficient, f(·) is the regression function, and Δc u This represents the increase in shear strength.

5. The method for comprehensive evaluation of the consolidation bearing capacity of drainage boards under digital construction as described in claim 1, characterized in that: Construction quality parameters include drainage board spacing, installation depth, and verticality.

6. The method for comprehensive evaluation of the consolidation bearing capacity of drainage boards under digital construction as described in claim 1, characterized in that: In step S4, the Terzaghi formula is modified based on the drainage board construction quality parameters, including: Substituting the shear strength increment from step S3 into the traditional foundation bearing capacity formula, we obtain the foundation bearing capacity considering the actual construction quality of the drainage board. The expression of the Terzaghi formula, modified based on the drainage board construction quality parameters, is as follows: q u =(c u +Δc u )N c +γD f N q +0.5γBN γ (5); Substituting formula (4) into formula (5), we obtain the formula for predicting the consolidation bearing capacity of the drainage board under digital construction, and its expression is as follows: q u =(c u +α·f(S eff ,L eff ,i eff ))N c +γD f N q +0.5γBN γ (6); Where, q u : Foundation bearing capacity, c u γ: Natural undrained shear strength of soil; D: Soil weight; f B: Foundation depth; N: Foundation width c N q N γ : Bearing capacity coefficient, f(·) can be determined by regression or machine learning methods.

7. The method for comprehensive evaluation of the consolidated bearing capacity of drainage boards under digital construction as described in claim 1, characterized in that: In step S5, the prediction of the consolidation bearing capacity of the drainage board under real-time construction quality monitoring includes: S51, the foundation bearing capacity q obtained from the construction test section u As the output, the construction quality parameters s, L, θ at the location of the corresponding bearing capacity test collected in real time in step S1 are used as input, and a quantitative relationship model between the construction quality parameters and the foundation bearing capacity is established through multiple regression or machine learning methods. S52. Substitute the drainage board construction quality parameters collected in real time at any construction location in step S1 into formula (7) to obtain the foundation bearing capacity at the corresponding location.

8. The method for comprehensive evaluation of the consolidation bearing capacity of drainage boards under digital construction as described in claim 1, characterized in that: In step S61, a field construction test section of the drainage board is carried out, including: Establish a quantitative relationship model between construction quality parameters and foundation bearing capacity based on step S5; In step S62, construction process data is collected in real time, including: The real-time monitoring system for the digital construction quality of drainage boards is used to collect construction quality data in real time during the construction process. The construction quality data includes drainage board spacing, drainage board installation depth, verticality and their corresponding position coordinates. In step S63, the drainage board construction quality assessment includes: Substitute the parameters from step S62 into the foundation bearing capacity calculation model established in step S1 to calculate the foundation consolidation bearing capacity at the parameter collection location. In step S64, the spatial interpolation of the foundation consolidation bearing capacity includes: The Kriging spatial interpolation method was used to interpolate the entire construction area of ​​the drainage board to obtain a cloud map of the foundation consolidation bearing capacity of the entire working surface; In step S65, on-site construction control of the drainage board includes: Based on the foundation consolidation bearing capacity assessment results and the on-site drainage board construction control requirements, on-site construction was guided, and drainage boards were installed in unqualified areas.

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