Pile foundation buried pipe design optimization method, medium and system

Abstract

The invention provides a pile foundation buried pipe design optimization method, medium and system, and belongs to the technical field of ground source heat pump pile foundation buried pipe, and the method comprises the following steps: building a geologic model and a vibration parameter matrix by obtaining actually measured geology and vibration data of a to-be-placed pile foundation area; and a feature matching technology is utilized to find optimal matching in a preset typical soil database, clustering analysis is carried out, and the soil deformation amount of the region is determined. And in combination with load and vibration information of the pile foundation and the building, soil deformation in the whole using process is predicted. On the basis, an underground heat transfer model of the pile foundation buried pipe is established, and the heat exchange capacity of the ground source heat pump is calculated; meanwhile, the influence of the buried pipe on soil deformation is analyzed. And finally, the heat exchange capacity and soil deformation change serve as optimization targets, a game model is adopted for solving, and an optimal pile foundation buried pipe design scheme is obtained. In the whole process, the mode of combining measured data and modeling analysis is fully utilized, and intelligent optimization of pile foundation design is achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of pile foundation buried pipes of ground source heat pumps, and in particular, relates to a pile foundation buried pipe design optimization method, medium and system. Background Art

[0002] The ground source heat pump system uses underground soil or groundwater as a heat source, and realizes heating and cooling of buildings through buried underground pipes or pile foundation pipe networks. It has the advantages of efficient energy utilization and environmental friendliness, and is widely used in the field of building energy conservation. However, the design optimization of the ground source heat pump system is a complex problem, involving multiple coupling factors such as soil thermophysical parameters, underground temperature field distribution, and heat exchange performance, among which the influence of soil deformation on the system is particularly important.

[0003] Soil deformation will directly affect the geometry and stress state of the buried pipe or pile foundation network, thereby affecting the heat exchange capacity. At the same time, the foundation settlement caused by soil deformation may also have an adverse effect on the upper buildings. Therefore, in the design process of the ground source heat pump system, how to reasonably predict and control soil deformation is crucial to improving the reliability and service life of the system.

[0004] The existing ground source heat pump design methods mainly include the following: 1. Empirical formula method: This method mainly relies on engineering experience and selects appropriate parameters such as heat exchange tube depth and spacing based on regional climate conditions, building heat load and other factors. This method is simple to operate, but lacks consideration of soil deformation and is difficult to meet the actual needs of complex projects.

[0005] 2. Numerical simulation method: Using numerical analysis methods such as finite element and finite difference, a heat exchange model that includes factors such as soil thermal properties and underground temperature field is established to optimize the layout of heat exchange tubes. This method can further consider soil deformation factors, but it requires a large amount of soil parameter input data, and the modeling process is relatively complicated.

[0006] 3. Experimental verification method: Through field tests or laboratory soil column tests, the heat exchange performance under different soil conditions is directly tested, and the design parameters of the ground source heat pump system are determined accordingly. This method can more accurately reflect the actual soil characteristics, but it is too dependent on experimental data and is difficult to promote and apply.

[0007] In general, the above-mentioned ground source heat pump design methods have certain limitations in considering soil deformation factors: either they ignore the influence of soil deformation, or they require a large number of measured parameters to support, making it difficult to balance the convenience and reliability of the design. Therefore, it is urgent to develop a new optimization design method that can improve the overall performance of the ground source heat pump system by reasonably predicting and controlling soil deformation. Summary of the invention

[0008] In view of this, the present invention provides a pile foundation buried pipe design optimization method, medium and system, which can solve the technical problem that the prior art lacks consideration of soil deformation factors when designing the pile foundation buried pipe of a ground source heat pump, and cannot achieve coupled optimization design of soil deformation and heat exchange performance.

[0009] The present invention is achieved in that: A first aspect of the present invention provides a pile foundation buried pipe design optimization method, which includes the following steps: S10, obtaining longitudinal soil structure data of the area to be placed in the pile foundation obtained by actual excavation to establish a geological model of the area to be placed in the pile foundation; S20, obtaining soil vibration data obtained by using seismic detection equipment in the area where the pile foundation is to be placed; S30, fusing each parameter in the soil vibration data with the geological model to obtain a corresponding fusion parameter; S40, establishing a fusion parameter matrix based on all fusion parameters, and extracting features to obtain fusion features; S50, in a preset typical soil database, using the fusion feature to perform matching to obtain a plurality of typical soil data with the highest matching degree; clustering the plurality of typical soil data with the highest matching degree, and using the soil deformation amount of the sequence load of the soil at the cluster center as the soil deformation amount of the sequence load of the soil in the area to be placed in the pile foundation; S60, combining the load and vibration of the pile foundation and its associated building, and the soil deformation of the sequence load of the soil in the area to be placed in the pile foundation, to obtain the soil deformation of the pile foundation and its associated building during the completion and use of the construction; S70. Based on the preliminary pile foundation buried pipe design of the ground source heat pump, establish the heat transfer model of the pile foundation buried pipe underground, analyze the temperature field distribution, heat transfer coefficient, thermal resistance through numerical simulation, and calculate the heat exchange capacity of the ground source heat pump; S80. Based on the preliminary pile foundation buried pipe design of the ground source heat pump, a soil deformation change model is established, and the soil deformation change under the pile foundation buried pipe or coil is analyzed through numerical simulation; S90. The heat exchange capacity of the ground source heat pump and the minimum change in soil deformation are introduced into the game model as the optimization goal. Under the condition of satisfying the constraints of both, the optimal solution is obtained, which represents the optimized pile foundation buried pipe design.

[0010] The soil vibration data include P-wave velocity, S-wave velocity and stratum interface reflection, pore water pressure, soil layer density, and soil layer nonlinear response.

[0011] The typical soil data include: soil fusion characteristics and soil deformation of sequence loads.

[0012] Furthermore, the sequence load is from 0 load to a specified maximum load and multiple different load values ​​in between, and the soil deformation of the sequence load of the soil is obtained by experiment.

[0013] The pile foundation buried pipe design includes designing the depth, coverage area, pipe spacing, and pipe cross-sectional dimensions of the pile foundation buried pipe or pile foundation coil under the set pile diameter and pile depth conditions.

[0014] Among them, the method of extracting features to obtain fusion features is principal component analysis.

[0015] Among them, the heat exchange capacity of the ground source heat pump and the minimum change of soil deformation are introduced into the game model as the optimization goal. Under the condition of satisfying the constraints of both, the optimal solution is solved, which represents the steps of optimized pile foundation buried pipe design. Specifically, the heat exchange capacity of the ground source heat pump system is maximized and the soil deformation is minimized as two objective functions, a multi-objective optimization model is established, and the game theory method is used to solve the Nash equilibrium solution as the optimized pile foundation buried pipe design under the premise of satisfying the constraints of the two objective functions.

[0016] When obtaining soil vibration parameter data, a multi-channel seismic exploration device is used to perform source excitation and reception in the surface or borehole of the area where the pile foundation is to be placed, and measure the P-wave velocity and S-wave velocity parameters.

[0017] The step S10 comprises: obtaining actual drilling data of the area where the pile foundation is to be placed, including parameters such as soil layer thickness, soil layer properties, and soil layer strength, using a geostatistical method to construct a three-dimensional geological model of the area where the pile foundation is to be placed, and setting reasonable boundary conditions and initial conditions during the model construction process; The step S20 includes: using seismic exploration and other methods to obtain soil vibration parameter data in the area where the pile foundation is to be placed, including P wave velocity, S wave velocity, pore water pressure, soil layer density, etc., and obtaining information such as soil layer interface reflection and soil layer nonlinear response by analyzing the propagation characteristics of seismic waves in different soil layers; The step S30 includes: spatially registering and fusing the soil vibration parameter data obtained in step S20 with the geological model constructed in step S10, coupling the two using technologies such as geographic information systems, and obtaining a fusion result of the spatial distribution of each vibration parameter; The step S40 includes: forming a parameter matrix with the fusion parameters obtained in the step S30, performing dimension reduction processing on the parameter matrix using a feature extraction algorithm such as principal component analysis, and extracting main feature parameters that comprehensively reflect soil vibration characteristics; The step S50 includes: pre-establishing a database containing a variety of typical soil types, each soil type having corresponding fusion characteristic parameters and soil deformation data under different loads, matching the fusion characteristic parameters extracted in step S40 with the typical soil database, finding several typical soils with the most similar soil characteristics to the area where the pile foundation is to be placed, and performing cluster analysis on them, taking the load-deformation characteristics of the soil at the cluster center as a reference; The step S60 includes: obtaining the actual load conditions of the pile foundation to be placed and its associated buildings, including permanent load, variable load, earthquake effect, etc., combining the load-deformation characteristics of the soil in the area to be placed obtained in step S50, using numerical analysis methods such as finite element analysis to predict the deformation of the soil body where the pile foundation and the building are located during service; The step S70 includes: preliminarily determining the arrangement of buried pipes or coils of the pile foundation according to the size parameters of the pile foundation to be placed and the design requirements of the ground source heat pump system, including the buried pipe depth, coverage area, pipe spacing, pipe diameter, etc., establishing a heat transfer model including soil thermal properties, underground temperature field distribution, etc., calculating the heat exchange capacity of the ground source heat pump system through numerical simulation analysis, and optimizing and adjusting relevant design parameters; The step S80 includes: establishing a soil deformation variation model over time according to the soil deformation during the service of the pile foundation and the building predicted in step S60, coupling the model with the ground source heat pump design model in step S70, and analyzing the influence of soil deformation on heat exchange performance through numerical simulation; The step S90 includes: taking the maximization of the heat exchange capacity of the ground source heat pump system and the minimization of the soil deformation as two objective functions, establishing a multi-objective optimization model, and using the game theory method to solve the optimal solution for the pile foundation buried pipe design under the premise of satisfying the constraints of the two objective functions, including parameters such as pipe depth, coverage area, and pipe spacing.

[0018] Optionally, the actual drilling data of the area to be placed in the pile foundation is obtained, including on-site sampling using a drilling rig and other equipment, and testing and recording parameters such as soil layer structure, soil layer properties, and soil layer strength; Optionally, when constructing the three-dimensional geological model using the geostatistical method, the measured soil parameter data may be spatially interpolated and modeled using techniques such as Kriging interpolation and random simulation; Optionally, the soil interface reflection and soil layer nonlinear response are obtained by analyzing the propagation characteristics of seismic waves in different soil layers, including processing and analysis using techniques such as waveform inversion and wave equation analysis; Optionally, when the soil vibration parameter data and the geological model are spatially registered and fused, spatial analysis functions such as registration, superposition, and interpolation of the geographic information system are used to achieve coupling of the two types of heterogeneous data; Optionally, when the parameter matrix is ​​subjected to dimensionality reduction processing by using a feature extraction algorithm such as principal component analysis, the principal component eigenvalues ​​and eigenvectors are extracted by decomposing the eigenvalues ​​of the covariance matrix as the main characteristic parameters that comprehensively reflect the soil vibration characteristics; Optionally, the pre-established typical soil database contains soil types of different origins and structures, such as clay, sand, silt, etc., and each soil type has corresponding fusion characteristic parameters and load-deformation characteristic data; Optionally, when matching the fusion feature parameters extracted in step S40 with the typical soil database, a minimum distance method, a maximum similarity method, or the like is used to find several typical soils with the closest features; Optionally, when clustering the typical soils with the highest matching degree, algorithms such as K-Means and hierarchical clustering are used, and the load-deformation characteristics of the soil at the center of the cluster are used as a reference; Optionally, the actual load conditions of the pile foundation to be placed and its associated buildings are obtained, including various load combinations such as permanent load, service load, wind load, earthquake load, etc.; Optionally, when using numerical analysis methods such as finite element analysis to predict the deformation of the pile foundation and the soil where the building is located, a multi-layer soil model is established, the mechanical properties of different soil layers are considered, and finite element calculations are performed using boundary conditions, etc.; Optionally, when the arrangement scheme of the pile foundation buried pipes or coils is initially determined, parameters such as buried pipe depth and pipe spacing are optimized and adjusted on the premise of meeting the design requirements of the ground source heat pump system, so that the overall arrangement scheme can maximize the use of underground heat sources; Optionally, when establishing the heat transfer model including soil thermal properties, underground temperature field distribution, etc., numerical simulation techniques such as control equation method and finite volume method are used to model and analyze the heat exchange process of the ground source heat pump system; Optionally, when establishing the soil deformation variation model over time, the nonlinear and time-varying characteristics of the soil are taken into consideration, a constitutive model such as the Mohr-Coulomb model is used to describe the soil constitutive relationship, and a finite element method is used for numerical simulation; Optionally, when establishing a multi-objective optimization model by taking maximizing the heat exchange capacity of the ground source heat pump system and minimizing the soil deformation as two objective functions, a weighted summation method, a Pareto optimal solution method, or the like is used for solving the model.

[0019] Optionally, the optimal parameters of the pile foundation buried pipe design scheme obtained by the optimization include: pipe depth, pipe spacing, pipe cross-sectional dimensions, etc., which can control soil deformation to the maximum extent while ensuring the heat exchange performance of the ground source heat pump system. Optionally, in addition to the soil layer structure, properties, strength and other information obtained by drilling, the measured soil parameter data also includes soil mechanical parameters measured by in-situ tests, such as internal friction angle, cohesion, compression coefficient, etc. Optionally, when the three-dimensional geological model is constructed by using geostatistical methods such as Kriging interpolation, it is necessary to combine the experience and knowledge of geological experts to reasonably set and optimize model parameters such as variograms. Optionally, when the soil vibration parameter data is obtained by using equipment such as multi-channel seismic exploration instruments, it is necessary to analyze and correct factors such as noise and coupling during the test process to ensure the accuracy of the data. Optionally, when the seismic wave propagation characteristics are processed and analyzed by waveform inversion, wave equation analysis and other technologies, it is necessary to establish a reasonable geological model and boundary conditions, and use an iterative optimization algorithm to solve the inversion problem. Optionally, when the spatial registration and data fusion of soil vibration parameter data and geological model are realized by using geographic information system, it is necessary to unify the coordinate system, projection system, etc. of the two types of data, and apply spatial interpolation, superposition and other functional modules for coupling analysis. Optionally, when the parameter matrix is ​​reduced by using feature extraction algorithm such as principal component analysis, it is necessary to select the number of principal components according to the size of eigenvalues, and interpret the physical meaning of the extracted principal components in combination with practical problems. Optionally, in the pre-established typical soil database, the load-deformation characteristic data of each soil type is obtained by conducting laboratory tests such as standard soil column tests. Optionally, when matching the fusion characteristic parameters extracted in step S40 with the typical soil database, a pattern recognition algorithm based on machine learning, such as the nearest neighbor algorithm, neural network, etc., can be used. Optionally, when clustering analysis is performed on several typical soils with the highest matching degree, a suitable clustering algorithm, such as hierarchical clustering, density clustering, etc., can be selected according to the needs of practical problems. Optionally, when using numerical analysis methods such as finite element to predict the deformation of the soil where the pile foundation and the building are located, it is necessary to reasonably set boundary conditions and apply loads according to the actual engineering situation, and perform necessary sensitivity analysis on the calculation results. Optionally, when establishing a heat transfer model including soil thermal properties, underground temperature field distribution, etc., it is necessary to collect parameters such as soil thermal conductivity and volume specific heat capacity in the area to be placed in the pile foundation, and set reasonable boundary conditions according to actual geological conditions. Optionally, when establishing a model of the change of soil deformation over time, it is also necessary to consider the influence of factors such as load history and groundwater level changes on soil deformation, and use appropriate constitutive models such as Mohr-Coulomb and Cam-Clay to express it. Optionally, when using game theory to solve a multi-objective optimization model, concepts such as Pareto optimality and Nash equilibrium can be applied to seek the optimal solution for both parties under the premise of satisfying their respective objective constraints.Optionally, the optimal parameters of the pile foundation buried pipe design scheme obtained by the optimization include, in addition to pipe depth, pipe spacing, and pipe cross-sectional dimensions, the selection of pipe material to further improve the heat exchange performance and soil deformation control effect of the ground source heat pump system.

[0020] A second aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores program instructions, and when the program instructions are executed, they are used to execute the above-mentioned pile foundation buried pipe design optimization method.

[0021] A third aspect of the present invention provides a pile foundation buried pipe design optimization system, which includes the above-mentioned computer-readable storage medium.

[0022] Compared with the prior art, the beneficial effects of the pile foundation buried pipe design optimization method, medium and system provided by the present invention are: 1. Integrate geological conditions and soil vibration characteristics to establish a more accurate geological-soil model The present invention uses measured soil longitudinal structure, vibration parameters and other data, and constructs a more realistic three-dimensional geological model and soil vibration characteristic parameter field through geostatistics and data fusion technology. Compared with the traditional single geological parameter description, this method can more comprehensively reflect the soil characteristics of the area where the pile foundation is to be placed, laying a solid foundation for subsequent soil deformation prediction.

[0023] 2. Combine typical soil data to accurately predict soil deformation in the area to be implanted The present invention proposes a deformation prediction method based on soil feature matching. First, a database containing a variety of typical soil types is established to record the soil deformation characteristics under different loads. Then, the most similar reference soil is found by matching the vibration characteristic parameters of the area to be implanted with the typical soil data, and the load-deformation relationship of the actual soil is predicted based on this. This method makes full use of the existing experimental data and can more accurately describe the soil deformation characteristics of the area to be implanted.

[0024] 3. Coupling heat exchange performance and soil deformation to optimize pile foundation buried pipe design The present invention further establishes a heat transfer model and a soil deformation evolution model for the ground source heat pump system, and couples the two for joint optimization. Through the optimization solution of multi-objective functions, a pile foundation buried pipe design scheme that can maximize heat exchange performance and minimize soil deformation is found. This method takes into account both the energy utilization efficiency and foundation bearing capacity of the ground source heat pump system, and is more comprehensive and systematic than the existing single design target method.

[0025] 4. Improve the reliability and applicability of ground source heat pump systems The pile foundation buried pipe design optimization method proposed in the present invention can more accurately predict and control the impact of soil deformation on the ground source heat pump system, thereby improving the reliability and service life of the system. At the same time, the method is applicable to different geological conditions and engineering scenarios, has good generalization and practicality, and provides reliable technical support for engineering practice.

[0026] In summary, the pile foundation buried pipe design optimization method proposed in the present invention makes full use of the measured geological and soil vibration data, and realizes the coupled optimization of ground source heat pump system design and soil deformation control through multidisciplinary modeling and analysis methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0028] Figure 1 A flow chart of the method provided by the present invention. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0030] like Figure 1 FIG. 1 is a flow chart of a pile foundation buried pipe design optimization method provided by the present invention, and the method comprises the following steps: S10, obtaining longitudinal soil structure data of the area to be placed in the pile foundation obtained by actual excavation to establish a geological model of the area to be placed in the pile foundation; S20, obtaining soil vibration data obtained by using seismic detection equipment in the area where the pile foundation is to be placed, including P-wave velocity, S-wave velocity and stratum interface reflection, pore water pressure, soil layer density, and soil layer nonlinear response; S30, fusing each parameter in the soil vibration data with the geological model to obtain a corresponding fusion parameter; S40, establishing a fusion parameter matrix based on all fusion parameters, and extracting features to obtain fusion features; S50, in a pre-set typical soil database, the fusion feature is used for matching to obtain a plurality of typical soil data with the highest matching degree, the typical soil data including: the fusion feature of the soil, the soil deformation of the sequence load, the sequence load is from 0 load to a specified maximum load and a plurality of different load values ​​therebetween; the soil deformation of the sequence load of the soil is obtained by an experiment; the plurality of typical soil data with the highest matching degree are clustered, and the soil deformation of the sequence load of the soil at the cluster center is used as the soil deformation of the sequence load of the soil in the area to be placed in the pile foundation; S60, combining the load and vibration of the pile foundation and its associated building, and the soil deformation of the sequence load of the soil in the area to be placed in the pile foundation, to obtain the soil deformation of the pile foundation and its associated building during the completion and use of the construction; S70. Based on the preliminary pile foundation buried pipe design of the ground source heat pump, establish a heat transfer model of the pile foundation buried pipe underground, analyze the temperature field distribution, heat transfer coefficient, and thermal resistance through numerical simulation, and calculate the heat exchange capacity of the ground source heat pump; the pile foundation buried pipe design includes designing the depth, coverage area, pipe spacing, and pipe cross-sectional dimensions of the pile foundation buried pipe or pile foundation coil under the conditions of set pile diameter and pile depth; S80. Based on the preliminary pile foundation buried pipe design of ground source heat pump, a soil deformation change model is established, and the soil deformation change under the pile foundation buried pipe or coil is set through numerical simulation analysis; S90. The heat exchange capacity of the ground source heat pump and the minimum change in soil deformation are introduced into the game model as the optimization goal. Under the condition of satisfying the constraints of both, the optimal solution is obtained, which represents the optimized pile foundation buried pipe design.

[0031] The specific implementation methods of the above steps are described in detail below: Step S10: Obtain the actual geological data of the area where the pile foundation is to be placed and establish a geological model The specific implementation method of this step is as follows: 1) In the area where the pile foundation is to be placed, the longitudinal structural data of the soil are obtained by drilling and other methods, including soil layer thickness, soil layer properties (clay, sand, etc.), soil layer strength parameters (internal friction angle, cohesion, etc.), etc.

[0032] 2) Based on the soil longitudinal structure data obtained, a three-dimensional geological model of the area where the pile foundation is to be placed is constructed using geostatistical methods. This geological model can reflect the actual spatial distribution characteristics of the soil in the area.

[0033] 3) In the process of building a geological model, it is necessary to set reasonable boundary conditions and initial conditions to ensure that the model can truly describe the actual geological conditions. At the same time, relevant empirical parameters can also be introduced to improve the reliability of the model.

[0034] Step S20: Obtain soil vibration parameter data in the area where the pile foundation is to be placed The specific implementation method of this step is as follows: 1) In the area where the pile foundation is to be placed, seismic exploration and other methods are used to obtain soil vibration parameter data, including P-wave velocity, S-wave velocity, pore water pressure, soil layer density, etc.

[0035] 2) By analyzing the propagation characteristics of seismic waves in different soil layers, information such as soil interface reflection and soil nonlinear response can be obtained.

[0036] 3) The above soil vibration parameter data can reflect the dynamic characteristics of the soil in the area and provide basic data for subsequent soil deformation analysis.

[0037] Step S30: Fusion of soil vibration data with geological model The specific implementation method of this step is as follows: 1) The soil vibration parameter data obtained in step S20, such as P-wave velocity, S-wave velocity, etc., are spatially aligned and data fused with the geological model established in step S10.

[0038] 2) Utilize spatial analysis technologies such as geographic information system (GIS) to realize the coupling of soil vibration parameter data and geological model and obtain the fusion results of spatial distribution of various parameters.

[0039] 3) Through data fusion, the comprehensive vibration characteristic parameters of each soil layer in the area where the pile foundation is to be placed can be obtained, providing more accurate input data for subsequent soil deformation analysis.

[0040] Step S40: Extracting the features of fusion parameters The specific implementation method of this step is as follows: 1) The fusion parameters obtained in step S30, such as P-wave velocity, S-wave velocity, soil layer density, etc., are combined into a parameter matrix.

[0041] 2) Use feature extraction algorithms such as principal component analysis (PCA) to reduce the dimension of the parameter matrix and extract the main characteristic parameters that comprehensively reflect the soil vibration characteristics.

[0042] 3) The extracted main characteristic parameters can effectively characterize the soil vibration characteristics of the area where the pile foundation is to be placed in a low-dimensional space, providing key input for subsequent soil type matching.

[0043] Step S50: Matching in a typical soil database The specific implementation method of this step is as follows: 1) Establish a database containing a variety of typical soil types in advance. Each soil type has corresponding fusion characteristic parameters and soil deformation data under different loads. These typical soil data can be obtained through laboratory soil column tests and other methods.

[0044] 2) Match the fused characteristic parameters extracted in step S40 with the characteristic parameters in the typical soil database to find out several typical soils that are most similar to the soil characteristics of the area where the pile foundation is to be placed.

[0045] 3) Cluster analysis is performed on several typical soils with the highest matching degree, and the sequential load-deformation characteristics of the soil in the cluster center are used as the reference deformation characteristics of the soil in the area where the pile foundation is to be placed.

[0046] Step S60: Predict soil deformation based on pile foundation and building load conditions The specific implementation method of this step is as follows: 1) Obtain the actual load conditions of the pile foundation to be placed and its associated buildings, including permanent load, variable load, earthquake effect, etc.

[0047] 2) Based on the load-deformation characteristics of the soil in the area where the pile foundation is to be placed obtained in step S50, a numerical analysis method such as finite element method is used to predict the deformation of the soil in which the pile foundation and the building are located during their service.

[0048] 3) Through the above analysis, the soil deformation of the pile foundation and the building during the entire service life can be obtained, providing basic data for the subsequent optimization design of the ground source heat pump.

[0049] Step S70: Establishing a preliminary design model for a ground source heat pump The specific implementation method of this step is as follows: 1) Based on the size parameters of the pile foundation to be placed (pile diameter, pile depth, etc.) and the design requirements of the ground source heat pump system, preliminarily determine the layout plan of the pile foundation buried pipe or coil, including buried pipe depth, coverage area, pipe spacing, pipe diameter, etc.

[0050] 2) Establish a heat transfer model that includes soil thermophysical properties, underground temperature field distribution, etc., and calculate the heat exchange capacity of the ground source heat pump system through numerical simulation analysis.

[0051] 3) Optimize and adjust the above preliminary design parameters so that the heat exchange capacity of the ground source heat pump system meets actual needs.

[0052] Step S80: Establish soil deformation change model The specific implementation method of this step is as follows: 1) Based on the soil deformation of the pile foundation and the building during service life predicted in step S60, a model of the change of soil deformation over time is established.

[0053] 2) The soil deformation model is coupled with the ground source heat pump design model in step S70 to analyze the change in heat exchange performance of the ground source heat pump system under the influence of soil deformation.

[0054] 3) Through numerical simulation, the influence of soil deformation on the heat exchange capacity of the ground source heat pump system is predicted to provide a basis for subsequent optimization design.

[0055] Step S90: Using game theory optimization method to obtain the optimal pile foundation buried pipe design The specific implementation method of this step is as follows: 1) Maximizing the heat exchange capacity of the ground source heat pump system and minimizing soil deformation are taken as two objective functions, and a multi-objective optimization model is established.

[0056] 2) Using the game theory method, under the premise of satisfying the constraints of the two objective functions, the optimal solution for the pile foundation buried pipe design is obtained, including parameters such as pipe depth, coverage area, and pipe spacing.

[0057] 3) The optimal design scheme obtained can control soil deformation to the maximum extent while ensuring the heat exchange performance of the ground source heat pump system, thereby optimizing the pile foundation buried pipe design.

[0058] In order to better understand this method, the specific implementation of this method is described in more detail below in combination with the formula: Step S10: Obtain the actual geological data of the area where the pile foundation is to be placed and establish a geological model In the area where the pile foundation is to be placed, the longitudinal structural data of the soil, including the thickness of the soil layer, is obtained by drilling and other methods. , soil properties , soil strength parameters such as internal friction angle and cohesion Based on these measured data, a three-dimensional geological model of the area where the pile foundation is to be placed is constructed using geostatistical methods.

[0059] Specifically, the three-dimensional coordinate system of the area to be placed in the pile foundation is , No. The thickness of the soil layer is , located in the depth interval According to the measured data, the distribution function of soil thickness, properties and strength parameters in space can be obtained: In order to construct a three-dimensional geological model, it is necessary to perform spatial interpolation and interpolation on the above distribution function. Commonly used geostatistical methods include Kriging interpolation and random simulation. Taking Kriging interpolation as an example, its basic principle is as follows: set up is the geological parameter to be estimated, based on the known data , linear weighted method is used for spatial interpolation: in, To interpolate the weight, we need to use the variation function Optimize the solution: By modeling and calibrating the variance function, the optimal interpolation weight can be obtained. , thus completing the interpolation of the geological parameter field.

[0060] Similarly, the soil thickness, properties and strength parameters are all modeled in three dimensions using a similar Kriging interpolation method, and finally a complete geological model of the area where the pile foundation is to be placed is obtained. In the process of model construction, reasonable boundary conditions and initial conditions, such as surface boundary conditions and bedrock interface conditions, need to be set to ensure that the model can truly describe the actual geological conditions.

[0061] Step S20: Obtain soil vibration parameter data in the area where the pile foundation is to be placed In the area where the pile foundation is to be placed, seismic exploration and other methods are used to obtain soil vibration parameter data. Specifically including: 1) P wave velocity : The propagation speed of the P wave in the soil layer reflects the compression stiffness of the soil layer. The P wave velocity can be calculated by the following formula: in, is the bulk modulus of the soil layer, is the shear modulus of the soil layer, is the soil density.

[0062] 2) S wave speed : The propagation speed of S waves in the soil layer reflects the shear strength of the soil layer. The S wave speed can be calculated by the following formula: 3) Pore water pressure : The dynamic pressure of pore water in the soil layer reflects the compressibility and permeability of the soil layer.

[0063] 4) Soil density : The bulk density of a soil layer is the ratio of the soil mass to its volume.

[0064] 5) Nonlinear response of soil layers : The nonlinear strain-stress relationship of soil layers under dynamic loads can be described by constitutive models such as the Ramberg-Osgood model: in, and is a nonlinear parameter.

[0065] 6) Soil interface reflection : The reflection coefficient of seismic waves at the interface of different soil layers reflects the discontinuity of the soil layer. The interface reflection coefficient can be solved by the wave equation: in, , and , are the density and wave velocity of the upper and lower layers of soil respectively.

[0066] By analyzing the propagation characteristics of seismic waves in different soil layers, the above soil vibration parameters can be obtained. These parameters can comprehensively reflect the dynamic characteristics of the soil in the area where the pile foundation is to be placed, and provide basic data for subsequent soil deformation analysis.

[0067] Step S30: Fusion of soil vibration data with geological model The soil vibration parameter data obtained in step S20, such as the P wave velocity , S wave speed Etc., perform spatial registration and data fusion with the geological model established in step S10 to obtain the fusion results of the spatial distribution of various parameters.

[0068] Specifically, the three-dimensional coordinate system of the area to be placed in the pile foundation is , No. The vibration parameter distribution function of each soil layer is: At the same time, in the geological model established in step S10, Thickness of soil layer ,nature , strength parameters , It is also a three-dimensional distribution function.

[0069] In order to achieve the fusion of the two types of data, spatial registration is required to ensure that they are expressed in the same coordinate system. The spatial analysis functions of the Geographic Information System (GIS), such as registration, superposition, and interpolation, can be used to couple the vibration parameter data with the geological model.

[0070] Finally, the comprehensive vibration characteristic parameter distribution of each soil layer in the area where the pile foundation is to be placed is obtained, providing more accurate input data for subsequent soil deformation analysis.

[0071] Step S40: Extracting the features of fusion parameters The fusion parameters obtained in step S30, such as P wave velocity , S wave speed , soil density Etc., to form a parameter matrix :

[0072] Principal component analysis (PCA) is used to extract features and reduce the dimension of the parameter matrix. The basic idea of ​​PCA is as follows: 1) Calculate the parameter matrix The covariance matrix of : 2) Covariance matrix Perform eigenvalue decomposition to obtain eigenvalues and the corresponding eigenvector : 3) Sort by eigenvalue and select the first feature vector as the main component.

[0073] 4) The original parameter matrix Projected into the principal component space, the principal component score matrix is ​​obtained : Through the above PCA process, we can extract The principal components are used as key characteristic parameters to comprehensively reflect the soil vibration characteristics. These principal component characteristics can not only reduce the data dimension, but also contain the main change information of soil vibration characteristics.

[0074] Step S50: Matching in a typical soil database A database containing a variety of typical soil types is pre-established, and each soil type has corresponding fusion characteristic parameters. , and soil deformation data under different loads These typical soil data can be obtained through laboratory soil column tests and other methods.

[0075] The fusion feature parameters extracted in step S40 are , match the characteristic parameters in the typical soil database to find out several typical soils that are most similar to the soil characteristics of the area where the pile foundation is to be placed. This can be matched using the minimum distance method: in, Indicates the typical soil number with the highest matching degree.

[0076] Cluster analysis was performed on several typical soils with the highest matching degree, and the load-deformation characteristics of the soil in the cluster center were analyzed. As the reference deformation characteristics of the soil in the area where the pile foundation is to be placed. Cluster analysis can use classic algorithms such as K-Means: in, For the Cluster centers, For the The cluster label to which the samples belong.

[0077] Through the above matching and clustering analysis, the typical soil with the most similar characteristics to the soil in the area where the pile foundation is to be placed can be obtained, and its load-deformation characteristics can be used as a reference to provide basic data for subsequent soil deformation analysis.

[0078] Step S60: Predict soil deformation based on pile foundation and building load conditions Obtain the actual load conditions of the pile foundation to be placed and its associated buildings, including permanent loads , variable load , earthquake action etc., can be expressed as: Combined with the load-deformation characteristics of the soil in the area where the pile foundation is to be placed obtained in step S50 ,Finite element and other numerical analysis methods are used to predict the deformation of the soil in which the pile foundation and the building are located during their service.

[0079] Specifically, the following soil-structure coupling finite element model can be established: 1) Based on the geological model obtained in steps S10 and S30, a multi-layer soil finite element model is constructed, and the constitutive relationship of each soil layer is described using appropriate models such as Mohr-Coulomb and Cam-Clay.

[0080] 2) In the soil model, embed the pile foundation and its associated building structural units to be placed, and apply actual loads .

[0081] 3) Through finite element analysis, calculate the stress-strain response of the pile foundation and the soil where the building is located under the load, and further convert the soil deformation .

[0082] The soil-structure coupled finite element analysis can obtain the deformation process of the soil where the pile foundation and the building are located during the entire service life, which provides basic data for the subsequent optimization design of the ground source heat pump.

[0083] Step S70: Establishing a preliminary design model for a ground source heat pump According to the size parameters of the pile foundation to be placed (pile diameter , Pile depth etc.), and the design requirements of the ground source heat pump system, preliminarily determine the layout of the pile foundation buried pipe or coil, including the buried pipe depth , Coverage Area , tube spacing , pipe diameter wait.

[0084] Substitute the above design parameters into the heat transfer model of the ground source heat pump system for analysis. Specifically, the following heat transfer model can be established: 1) Soil thermal conductivity It is a key parameter that affects the heat exchange performance of ground source heat pumps and can be obtained through actual measurements or empirical formulas, such as the Côté and Konrad model: in, is the dry density of soil.

[0085] 2) Underground temperature field Based on the heat conduction equation, a mathematical model of the underground temperature field can be established: in, is the volume specific heat of soil. By solving the partial differential equation through numerical methods such as finite difference or finite element, the distribution of underground temperature field over time and space can be obtained, where represents the coordinates of the midpoint of the soil, Indicates soil Temperature field at coordinate point t.

[0086] 3) Heat exchange capacity According to the geometric dimensions of the pile foundation buried pipe or coil, the heat exchange area can be calculated. , combined with the underground temperature field and soil thermal properties, the instantaneous heat exchange power of the ground source heat pump system is calculated using Newton's cooling law: in, is the convective heat transfer coefficient, is the underground temperature, is the working fluid temperature.

[0087] By optimizing and analyzing the parameters of the above heat transfer model, the optimal design scheme for pile foundation buried pipes or coils that meets actual needs can be determined.

[0088] Step S80: Establish soil deformation change model According to the soil deformation of the pile foundation and the building during service predicted in step S60 , a model of soil deformation changing with time can be established. Assume that soil deformation follows the following evolution law: in, is the initial deformation, and It is a parameter related to soil properties and can be obtained by fitting measured data.

[0089] The soil deformation model is coupled with the ground source heat pump design model in step S70 to analyze the change in heat exchange performance of the ground source heat pump system under the influence of soil deformation. Specifically, the following coupling model can be established: 1) Underground temperature field The temperature field is not only related to time and space, but also changes with soil deformation. Soil deformation will cause changes in parameters such as thermal conductivity and specific heat, thus affecting the temperature field distribution.

[0090] 2) Heat exchange capacity As soil deformation increases, the heat exchange area and the convective heat transfer coefficient will change, resulting in heat exchange capacity Then it decreases.

[0091] By solving the above coupling model through numerical simulation, the influence of soil deformation on the heat exchange performance of the ground source heat pump system can be predicted, providing a basis for subsequent optimization design.

[0092] Step S90: Using game theory optimization method to obtain the optimal pile foundation buried pipe design Taking the maximization of the heat exchange capacity of the ground source heat pump system and the minimization of soil deformation as two objective functions, the following multi-objective optimization model is established: The design variables include the buried pipe depth , Coverage Area , tube spacing and pipe diameter wait.

[0093] In order to solve the above multi-objective optimization problem, the game theory method can be used. The ground source heat pump system design and soil deformation control are regarded as two game parties, and the optimal solution of both is sought under the premise of satisfying the constraints of their respective objective functions.

[0094] Specifically, the following game model can be established: in, and represent the utility functions of the ground source heat pump system designer and the soil deformation controller, respectively. is the weight coefficient for balancing the two objectives.

[0095] By solving the Nash equilibrium solution of the above game model, the optimal solution for pile foundation buried pipe design can be obtained, including the pipe depth. , Coverage Area , tube spacing and pipe diameter The optimal design can control soil deformation to the maximum extent while ensuring the heat exchange performance of the ground source heat pump system.

[0096] The variables involved are explained as follows: : No. The thickness of the soil layer; : No. The nature of each soil layer; : No. The internal friction angle of each soil layer; : No. The cohesion of each soil layer; : three-dimensional coordinate system; : geological parameters to be estimated; : known geological parameters; : Kriging interpolation weights; : Variogram; : P-wave velocity; : S wave speed; : pore water pressure; : Soil density; : Nonlinear response of soil layer; : soil layer interface reflection coefficient; : parameter matrix; : covariance matrix; : eigenvalue; : feature vector; : principal component matrix; : Principal component score matrix; : Fusion characteristic parameters of typical soils; : Load-deformation characteristics of typical soils; : The best matching typical soil number; : No. Cluster centers; : No. The cluster label to which the samples belong; : Permanent load; : Variable load; : Earthquake action; : Total load; : soil deformation; : pile diameter; : Pile depth; : Pipe burial depth; : Coverage area; : Pipe spacing; : pipe diameter; : Thermal conductivity of soil; : underground temperature; :time; : Volumetric specific heat of soil; : Heat exchange capacity; : Convective heat transfer coefficient; : underground temperature; : Working fluid temperature; : initial deformation; : soil deformation parameters; : The utility function of the players; :weight coefficient; : No. soil layer; : No. Typical soil types; : No. Cluster centers; : Total number of soil layers; : Bulk modulus of soil layer; : shear modulus of soil layer; : Ramberg-Osgood (Ramberger-Osgood relationship) nonlinear parameters; : Density and wave velocity of the upper and lower soil layers.

[0097] A second aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores program instructions, and when the program instructions are executed, they are used to execute the above-mentioned pile foundation buried pipe design optimization method.

[0098] A third aspect of the present invention provides a pile foundation buried pipe design optimization system, which includes the above-mentioned computer-readable storage medium.

[0099] Specifically, the principle of the present invention is: 1. Construct a 3D geological model based on measured geological data In the area where the pile foundation is to be placed, the longitudinal structural parameters of the soil, including soil layer thickness, soil layer properties, soil layer strength, etc., are first obtained by drilling and other methods. Then, these measured data are spatially interpolated and interpolated using geostatistical methods, such as Kriging interpolation, to construct a three-dimensional geological model of the area. This geological model can more realistically reflect the stratigraphic structure and soil characteristics of the area where the pile foundation is to be placed.

[0100] 2. Obtain soil vibration parameters and integrate them with geological models In the same area where the pile foundation is to be placed, seismic exploration and other methods are used to obtain soil vibration parameter data, including P wave velocity, S wave velocity, pore water pressure, soil layer density, etc. These parameters can comprehensively reflect the dynamic characteristics of the soil. In order to merge these vibration parameters with the aforementioned geological model, the present invention uses the spatial registration and data coupling technology of the geographic information system to obtain the fusion results of each vibration parameter in spatial distribution. In this way, the measured data is fully utilized and the organic combination of geological conditions and soil vibration characteristics is realized.

[0101] 3. Extract the main features that comprehensively reflect the soil vibration characteristics The above-mentioned fused soil parameter matrix is ​​subjected to dimensionality reduction processing using feature extraction algorithms such as principal component analysis (PCA). By performing eigenvalue decomposition on the covariance matrix, a few principal components can be extracted as key characteristic parameters that comprehensively reflect the soil vibration characteristics. These principal component features can not only effectively characterize the soil vibration state, but also greatly reduce the dimension, providing a relatively concise input for subsequent soil type matching.

[0102] 4. Prediction of load-deformation characteristics based on typical soil data The present invention pre-establishes a database containing a variety of typical soil types, each of which has corresponding fusion characteristic parameters and soil deformation data under different loads. These typical soil data can be obtained through laboratory soil column tests and other methods. Then, the soil characteristic parameters of the area to be placed extracted in step 3 are matched with the typical soil database to find out the most similar soil types. Finally, cluster analysis is performed on these typical soils with the highest matching degree, and the load-deformation characteristics of the soil in the cluster center are used as a reference to predict the soil deformation response of the area to be placed. This method makes full use of the existing experimental data and can more accurately describe the deformation characteristics of the actual soil.

[0103] 5. Multi-objective optimization of coupled heat exchange performance and soil deformation The present invention further establishes a heat transfer model and a soil deformation evolution model for the ground source heat pump system. The heat exchange model describes the relationship between the underground temperature field distribution, heat exchange capacity, etc. and the buried pipe layout parameters; the deformation model reflects the change law of soil deformation over time. The two models are coupled to form a multi-objective optimization problem: maximize the heat exchange performance of the ground source heat pump while minimizing the soil deformation. Using the game theory method to solve this multi-objective optimization problem, the optimal pile foundation buried pipe design scheme that can both ensure heat exchange efficiency and control soil deformation can be obtained. This method takes into account the energy performance and foundation bearing capacity of the ground source heat pump system, and is a more comprehensive and scientific optimization design method.

[0104] In summary, the pile foundation buried pipe design optimization method proposed in the present invention makes full use of the measured geological and soil vibration data, and realizes the coupled optimization of ground source heat pump system design and soil deformation control through multidisciplinary modeling and analysis. This method can accurately describe and predict the soil characteristics of the area to be placed, and couple it with the heat exchange performance for analysis, so as to obtain the optimal design scheme that takes into account both thermal efficiency and foundation stability.

[0105] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A pile foundation buried pipe design optimization method, characterized in that: The following steps are involved: S10, obtaining longitudinal soil structure data of the area to be placed in the pile foundation obtained by actual excavation to establish a geological model of the area to be placed in the pile foundation; S20, obtaining soil vibration data obtained by using seismic detection equipment in the area where the pile foundation is to be placed; S30, fusing each parameter in the soil vibration data with the geological model to obtain a corresponding fusion parameter; S40, establishing a fusion parameter matrix based on all fusion parameters, and extracting features to obtain fusion features; S50, in a preset typical soil database, using the fusion feature to perform matching to obtain a plurality of typical soil data with the highest matching degree; clustering the plurality of typical soil data with the highest matching degree, and using the soil deformation amount of the sequence load of the soil at the cluster center as the soil deformation amount of the sequence load of the soil in the area to be placed in the pile foundation; S60, combining the load and vibration of the pile foundation and its associated building, and the soil deformation of the sequence load of the soil in the area to be placed in the pile foundation, to obtain the soil deformation of the pile foundation and its associated building during the completion and use of the construction; S70. Based on the preliminary pile foundation buried pipe design of the ground source heat pump, establish the heat transfer model of the pile foundation buried pipe underground, analyze the temperature field distribution, heat transfer coefficient, thermal resistance through numerical simulation, and calculate the heat exchange capacity of the ground source heat pump; S80. Based on the preliminary pile foundation buried pipe design of the ground source heat pump, a soil deformation change model is established, and the soil deformation change under the pile foundation buried pipe or coil is analyzed through numerical simulation; S90. The heat exchange capacity of the ground source heat pump and the minimum change in soil deformation are introduced into the game model as the optimization goal. Under the condition of satisfying the constraints of both, the optimal solution is obtained, which represents the optimized pile foundation buried pipe design.

2. A pile foundation buried pipe design optimization method according to claim 1, characterized in that: The soil vibration data include P-wave velocity, S-wave velocity and stratum interface reflection, pore water pressure, soil layer density, and soil layer nonlinear response.

3. A pile foundation buried pipe design optimization method according to claim 1, characterized in that: The typical soil data include: soil fusion characteristics and soil deformation of sequence loads.

4. A pile foundation buried pipe design optimization method according to claim 3, characterized in that: The sequence load is from 0 load to a specified maximum load and multiple different load values ​​in between, and the soil deformation of the sequence load of the soil is obtained by experiment.

5. A pile foundation buried pipe design optimization method according to claim 1, characterized in that: The pile foundation buried pipe design includes designing the depth, coverage area, pipe spacing, and pipe cross-sectional dimensions of the pile foundation buried pipe or pile foundation coil under the conditions of set pile diameter and pile depth.

6. A pile foundation buried pipe design optimization method according to claim 1, characterized in that: The method for extracting features and obtaining fusion features is principal component analysis.

7. A pile foundation buried pipe design optimization method according to claim 1, characterized in that: The heat exchange capacity of the ground source heat pump and the minimum change of soil deformation are introduced into the game model as optimization goals. Under the condition of satisfying the constraints of both, the optimal solution is solved, which represents the steps of optimized pile foundation buried pipe design. Specifically, the heat exchange capacity of the ground source heat pump system is maximized and the soil deformation is minimized as two objective functions, a multi-objective optimization model is established, and the game theory method is used to solve the Nash equilibrium solution as the optimized pile foundation buried pipe design under the premise of satisfying the constraints of the two objective functions.

8. The pile foundation buried pipe design optimization method according to claim 1, characterized in that: When obtaining soil vibration parameter data, a multi-channel seismic exploration device is used to perform source excitation and reception in the surface or borehole of the area where the pile foundation is to be placed, and measure the P wave velocity and S wave velocity parameters.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program instructions, and when the program instructions are executed, they are used to execute the pile foundation buried pipe design optimization method according to any one of claims 1-8.

10. A pile foundation buried pipe design optimization system, characterized in that: A computer-readable storage medium comprising the computer-readable storage medium of claim 9.

Images