Concrete deformation regulation and control method and system based on quaternary orthogonal model

Abstract

The invention relates to the field of material science, in particular to a concrete deformation regulation and control method and system based on a quaternary orthogonal model, and the method comprises the steps: determining a deformation regulation and control demand of to-be-regulated and controlled concrete, obtaining key parameter data of key parameters corresponding to the to-be-regulated and controlled concrete, and constructing the quaternary orthogonal model of the to-be-regulated and controlled concrete; establishing a geometric model of to-be-regulated concrete, creating a computational fluid dynamics grid of the geometric model, and defining material attributes and boundary conditions of the computational fluid dynamics grid; establishing a multi-physics field coupling model for calculating the fluid dynamic grid, and integrating the quaternary orthogonal model and the multi-physics field coupling model to obtain an integrated quaternary orthogonal model; and inputting the concrete real-time data into the integrated quaternary orthogonal model to obtain a deformation analysis result of the to-be-regulated concrete, and adjusting construction parameters of the to-be-regulated concrete by using a preset adaptive regulation system to obtain target concrete. The deformation regulation and control effect on the concrete can be improved.

Description

Technical Field

[0001] The present invention relates to the field of material science, and in particular to a concrete deformation control method and system based on a quaternion orthogonal model. Background Art

[0002] Concrete deformation control refers to taking a series of measures and methods to manage the deformation of concrete structures during construction and service to ensure the stability and durability of the structure. Through effective control measures, the safety and service life of concrete structures can be ensured.

[0003] At present, in traditional methods, the effects of factors such as temperature, humidity, and load on concrete deformation may be considered separately, but this approach ignores the interaction between various factors. For example, temperature changes may aggravate the concrete shrinkage caused by humidity changes, and load effects may cause uneven stress distribution under temperature gradients, resulting in poor effects on concrete deformation regulation. Therefore, how to monitor concrete deformation regulation through other models is an urgent problem to be solved. By introducing concrete deformation regulation using a quaternary orthogonal model, it is possible to simultaneously consider the four key parameters of elastic modulus, Poisson's ratio, thermal expansion coefficient, and shrinkage coefficient in a unified framework, and it is also possible to more accurately predict the comprehensive deformation behavior of concrete under different environmental conditions. Summary of the invention

[0004] The present invention provides a concrete deformation control method and system based on a quaternary orthogonal model, the main purpose of which is to improve the deformation control effect of concrete.

[0005] To achieve the above object, the present invention provides a method for controlling concrete deformation based on a quaternary orthogonal model, comprising:

[0006] Determine the deformation control requirement of the concrete to be controlled, and based on the deformation control requirement, obtain key parameter data of key parameters corresponding to the concrete to be controlled, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient and contraction coefficient, and construct a quaternary orthogonal model of the concrete to be controlled based on the key parameter data;

[0007] Establishing a geometric model of the concrete to be regulated, creating a computational fluid dynamics grid of the geometric model, and identifying a grid quality of a grid corresponding to the computational fluid dynamics grid;

[0008] When the quality of the grid meets the preset quality standard, defining material properties and boundary conditions of the computational fluid dynamics grid;

[0009] Based on the material properties and the boundary conditions, in a preset FEA environment and CFD environment, a multi-physics field coupling model of the computational fluid dynamics grid is established, and the quaternary orthogonal model and the multi-physics field coupling model are integrated to obtain an integrated quaternary orthogonal model;

[0010] A preset sensing system is used to collect real-time concrete data of the concrete to be regulated, and the real-time concrete data is input into the integrated four-element orthogonal model to obtain a deformation analysis result of the concrete to be regulated. Based on the deformation analysis result, a preset adaptive control system is used to adjust the construction parameters of the concrete to be regulated to obtain the target concrete.

[0011] Optionally, determining the deformation control requirement of the concrete to be controlled includes:

[0012] Identifying the concrete application scenario of the concrete to be regulated and the characteristics of the concrete to be regulated;

[0013] Analyze application scenario characteristics of the concrete application scenario;

[0014] Determining the deformation risk of the concrete application scenario based on the characteristics of the concrete to be regulated and the characteristics of the application scenario;

[0015] a deformation risk factor marking the deformation risk;

[0016] Based on the deformation risk factor, the deformation control requirement of the concrete to be controlled is determined.

[0017] Optionally, constructing a four-element orthogonal model of the concrete to be regulated based on the key parameter data includes:

[0018] Based on the key parameter data, respectively constructing the elastic modulus function, Poisson's ratio function, thermal expansion coefficient function and contraction coefficient function of the key parameters of the concrete to be regulated;

[0019] Calculating the elastic modulus value of the concrete to be regulated based on the elastic modulus function;

[0020] Wherein, the elastic modulus function is:

[0021] θ=Y / σ

[0022] Among them, θ represents the elastic modulus value of the concrete to be regulated, Y represents the stress of the concrete to be regulated, and σ represents the strain of the concrete to be regulated;

[0023] Calculating the Poisson's ratio value of the concrete to be regulated based on the Poisson's ratio function;

[0024] Wherein, the Poisson's ratio function is:

[0025] ε=σ xy / σ xx

[0026] Among them, ε represents the Poisson's ratio of the concrete to be regulated, σ xy represents the lateral strain of the concrete to be regulated, σ xx represents the longitudinal strain of the concrete to be regulated;

[0027] Calculating the thermal expansion coefficient value of the concrete to be regulated based on the thermal expansion coefficient function;

[0028] Wherein, the thermal expansion coefficient function is:

[0029] β=ΔL / L·ΔT

[0030] Wherein, β represents the thermal expansion coefficient of the concrete to be regulated, ΔL represents the length change of the concrete to be regulated, L represents the original length of the concrete to be regulated, and ΔT represents the temperature change of the concrete to be regulated;

[0031] Calculating the shrinkage coefficient value of the concrete to be regulated based on the shrinkage coefficient function;

[0032] Wherein, the shrinkage coefficient function is:

[0033] β=ΔS / S·Δα

[0034] Wherein, β represents the thermal expansion coefficient of the concrete to be regulated, ΔS represents the volume change of the concrete to be regulated, S represents the original volume of the concrete to be regulated, and Δα represents the moisture change of the concrete to be regulated;

[0035] Constructing a sequence list of the elastic modulus values, the Poisson's ratio values, the thermal expansion coefficient values, and the contraction coefficient values ​​under different temperature and humidity conditions;

[0036] Fitting the list data values ​​of the sequence list to obtain the mathematical relationship of the key parameters;

[0037] Based on the mathematical relationship, a four-element orthogonal model of the concrete to be regulated is constructed.

[0038] Optionally, the step of establishing a geometric model of the concrete to be regulated includes:

[0039] Identifying the geometric structure and texture characteristics of the concrete to be regulated;

[0040] Based on the geometric structure, construct a basic profile of the regulated concrete;

[0041] Based on the texture features, adding detail components of the basic contour to obtain a geometric initial model;

[0042] Establishing model constraints of the geometric initial model to obtain a constrained geometric model, wherein the model constraints include position constraints and geometric constraints;

[0043] Identifying a collision conflict coefficient of the constrained geometric model;

[0044] When the collision conflict coefficient meets the preset collision conflict threshold, a geometric model of the concrete to be regulated is established.

[0045] Optionally, the identifying the collision coefficient of the constrained geometric model includes:

[0046] identifying a collision type of the constrained geometric model;

[0047] Based on the collision type, construct a collision threshold of the constrained geometric model;

[0048] Identifying structural boundary points of model components corresponding to the constrained geometric model;

[0049] The minimum distance between the model components and the structural boundary points is calculated using the following formula:

[0050] d=min(dac1,dac2,dac3,…,dacn)

[0051] Wherein, d represents the minimum distance between the a-th model component and the c-th model component, min is the minimum value function, dac1, dac2, dac3, …, dacn represent the distance between the corresponding structural boundary points of the a-th model component and the c-th model component;

[0052] A collision conflict coefficient of the constrained geometric model is evaluated based on the minimum distance and the collision threshold.

[0053] Optionally, creating a computational fluid dynamics mesh of the geometric model comprises:

[0054] Inputting the geometric model into a preset meshing tool, and standardizing the geometric model to obtain a standardized geometric model;

[0055] analyzing the simulation accuracy of the standardized geometric model;

[0056] Based on the simulation accuracy, determining a mesh construction type of the standardized geometric model;

[0057] Based on the mesh construction type, creating a mesh topology of the standardized geometric model, wherein the mesh topology includes a mesh size and a mesh density;

[0058] A computational fluid dynamics mesh of the standardized geometric model is constructed based on the mesh construction type and the mesh topology.

[0059] Optionally, the multi-physics field coupling model of the computational fluid dynamics grid is established in a preset FEA environment and CFD environment based on the material properties and the boundary conditions, including:

[0060] Based on the material properties, configuring simulation parameters of the computational fluid dynamics grid in the CFD environment;

[0061] constructing a fluid dynamics simulation model of the computational fluid dynamics grid based on the simulation parameters;

[0062] configuring mechanical properties of the computational fluid dynamics grid in the FEA environment based on the boundary conditions;

[0063] Based on the mechanical properties, construct a structural mechanics model of a computational fluid dynamics grid;

[0064] analyzing the communication coefficients of the CFD environment and the FEA environment;

[0065] When the communication coefficient meets a preset communication threshold, a multi-physics coupling model of the computational fluid dynamics grid is constructed based on the fluid dynamics simulation model and the structural mechanics model.

[0066] Optionally, the integrating the quaternary orthogonal model and the multi-physics field coupling model to obtain an integrated quaternary orthogonal model comprises:

[0067] Constructing a unified model framework of the quaternary orthogonal model and the multi-physics field coupling model;

[0068] In the unified model framework, analyzing the parameter correlation coefficients of the quaternary orthogonal model and the multi-physics field coupling model;

[0069] Based on the parameter correlation coefficient, parameter correlation is performed on the quaternary orthogonal model and the multi-physics field coupling model to obtain model correlation parameters;

[0070] The four-element orthogonal model and the multi-physics field coupling model are integrated through the model association parameters to obtain an initial integrated four-element orthogonal model;

[0071] Analyzing the deformation prediction performance of the initial integrated quaternary orthogonal model using preset test data;

[0072] When the deformation prediction performance meets the preset deformation prediction standard, the initial integrated four-element orthogonal model is used as the integrated four-element orthogonal model.

[0073] Optionally, based on the deformation analysis result, using a preset adaptive control system to adjust the construction parameters of the concrete to be controlled to obtain target concrete includes:

[0074] Analyzing the deformation type of the concrete to be regulated based on the deformation analysis result;

[0075] Based on the deformation type, determining a target to be regulated of the concrete to be regulated;

[0076] Mapping the target to be regulated and the corresponding regulation function of the adaptive regulation system to obtain a target regulation function;

[0077] Analyzing the optimal parameter group of the concrete to be regulated based on the target regulation function;

[0078] The construction parameters of the concrete to be regulated are regulated by the optimal parameter group to obtain the target concrete.

[0079] To achieve the above object, the present invention also provides a concrete deformation control system based on a quaternary orthogonal model, comprising:

[0080] A four-element orthogonal model building module is used to determine the deformation control requirements of the concrete to be controlled, and based on the deformation control requirements, obtain key parameter data corresponding to key parameters of the concrete to be controlled, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient and contraction coefficient, and build a four-element orthogonal model of the concrete to be controlled based on the key parameter data;

[0081] A dynamic mesh construction module is used to establish a geometric model of the concrete to be regulated, create a computational fluid dynamics mesh of the geometric model, and identify the mesh quality of the mesh corresponding to the computational fluid dynamics mesh;

[0082] A dynamic mesh definition module, used to define material properties and boundary conditions of the computational fluid dynamics mesh when the mesh quality meets a preset quality standard;

[0083] A quaternary orthogonal model integration module is used to establish a multi-physics field coupling model of the computational fluid dynamics grid in a preset FEA environment and CFD environment based on the material properties and the boundary conditions, and integrate the quaternary orthogonal model and the multi-physics field coupling model to obtain an integrated quaternary orthogonal model;

[0084] The concrete parameter adjustment module is used to collect real-time concrete data of the concrete to be adjusted by using a preset sensor system, input the real-time concrete data into the integrated four-element orthogonal model, obtain the deformation analysis result of the concrete to be adjusted, and based on the deformation analysis result, adjust the construction parameters of the concrete to be adjusted by using a preset adaptive control system to obtain the target concrete.

[0085] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0086] a memory storing at least one instruction; and

[0087] The processor executes the instructions stored in the memory to implement the above-mentioned concrete deformation control method based on the quaternary orthogonal model.

[0088] In order to solve the above problem, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned concrete deformation control method based on the quaternary orthogonal model.

[0089] The present invention can formulate targeted control strategies by determining the deformation control requirements of the concrete to be controlled, thereby improving the performance and durability of the concrete structure; the present invention can provide a basis for the construction of a quaternary orthogonal model by determining the mathematical relationship of the key parameters based on the key parameter data; the present invention can ensure that the material properties and boundary conditions of the computational fluid dynamics grid are correctly set by defining the material properties and boundary conditions of the computational fluid dynamics grid when the grid quality meets the preset quality standards, thereby providing an accurate basis for subsequent CFD simulations; further, the present invention can establish the computational fluid in a preset FEA environment and CFD environment based on the material properties and the boundary conditions. The multi-physics coupling model of the dynamic grid provides a basis for multi-physics coupling simulation. The multi-physics coupling model can more accurately predict and analyze the deformation and stress distribution of the concrete structure. The present invention integrates the quaternary orthogonal model and the multi-physics coupling model to obtain an integrated quaternary orthogonal model. The quaternary orthogonal model and the multi-physics coupling model can be integrated to form a more comprehensive and accurate integrated quaternary orthogonal model, thereby improving the effect of predicting and regulating the deformation of the concrete structure. Finally, based on the deformation analysis results, the present invention uses a preset adaptive control system to adjust the construction parameters of the concrete to be regulated, and obtains the target concrete to achieve effective control of the deformation of the concrete structure. Therefore, the present invention can improve the deformation regulation effect of concrete. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] Figure 1A schematic diagram of a flow chart of a method for controlling concrete deformation based on a quaternary orthogonal model provided by an embodiment of the present invention;

[0091] Figure 2 A functional module diagram of a concrete deformation control system based on a quaternary orthogonal model provided by an embodiment of the present invention;

[0092] Figure 3 A schematic diagram of the structure of an electronic device for implementing the concrete deformation control method based on a quaternary orthogonal model provided in an embodiment of the present invention.

[0093] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0094] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0095] The embodiment of the present application provides a method for controlling the deformation of concrete based on a four-element orthogonal model. The execution subject of the method for controlling the deformation of concrete based on a four-element orthogonal model includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for controlling the deformation of concrete based on a four-element orthogonal model can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0096] Reference Figure 1 FIG. 1 is a flow chart of a method for controlling concrete deformation based on a four-element orthogonal model according to an embodiment of the present invention. In this embodiment, the method for controlling concrete deformation based on a four-element orthogonal model includes:

[0097] S1. Determine the deformation control requirement of the concrete to be controlled, and based on the deformation control requirement, obtain key parameter data of key parameters corresponding to the concrete to be controlled, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient and contraction coefficient, and construct a quaternary orthogonal model of the concrete to be controlled based on the key parameter data.

[0098] The present invention can formulate targeted control strategies by determining the deformation control requirements of the concrete to be controlled, thereby improving the performance and durability of the concrete structure. The deformation control requirements refer to the concrete deformation control measures that need to be taken to reduce or avoid the risk of loss.

[0099] In detail, the step of determining the deformation control requirement of the concrete to be controlled includes:

[0100] Identifying the concrete application scenario of the concrete to be regulated and the characteristics of the concrete to be regulated;

[0101] Analyze application scenario characteristics of the concrete application scenario;

[0102] Determining the deformation risk of the concrete application scenario based on the characteristics of the concrete to be regulated and the characteristics of the application scenario;

[0103] a deformation risk factor marking the deformation risk;

[0104] Based on the deformation risk factor, the deformation control requirement of the concrete to be controlled is determined.

[0105] Among them, the concrete to be regulated refers to a concrete structure or component that needs to be deformed and regulated, the concrete application scenario refers to the specific environment and conditions in which the concrete structure or component is used in actual engineering, the characteristics of the concrete to be regulated are the properties of the concrete material itself, such as morphology, density and other properties, the application scenario characteristics are the specific conditions of the concrete structure or component in the application scenario, such as temperature, humidity, load, stress and other environmental factors, the deformation risk refers to the risk of deformation that may occur in the concrete structure or component during the application process, and the deformation risk factor refers to the specific factors or conditions that lead to the risk of loss, such as elastic modulus, Poisson's ratio, thermal expansion coefficient and contraction coefficient and other factors.

[0106] It should be explained that the elastic modulus refers to the ratio of stress to strain in the elastic deformation stage of the material, which reflects the ability of the material to resist elastic deformation. It is a scalar, and the unit is usually Pascal (Pa) or kilopascal (kPa). The Poisson's ratio refers to the ratio of the lateral strain to the longitudinal strain of the material when it is subjected to force, which indicates the deformation characteristics of the material in the direction of force. The Poisson's ratio is a dimensionless number, usually between 0 and 0.5. The thermal expansion coefficient refers to the ratio of the increase in its length per unit length when the temperature of the material increases by 1 degree Celsius. It is a dimensionless number, usually in units of 1 / ℃. The shrinkage coefficient refers to the ratio of the volume reduction of the material when the moisture content decreases. It is usually related to factors such as the cement type, aggregate type, and mix ratio of the concrete, and is a dimensionless number. The key parameter data refers to data describing the elastic modulus, Poisson's ratio, thermal expansion coefficient, and shrinkage coefficient, such as strain, stress, lateral strain, longitudinal strain, and other data at different times.

[0107] The present invention is based on the key parameter data, and determining the mathematical relationship of the key parameters can provide a basis for the construction of a quaternary orthogonal model. The quaternary orthogonal model refers to a mathematical model that includes four key parameters (elastic modulus, Poisson's ratio, thermal expansion coefficient and contraction coefficient) and the relationship between them.

[0108] In detail, the four-element orthogonal model of the concrete to be regulated is constructed based on the key parameter data, including:

[0109] Based on the key parameter data, respectively constructing the elastic modulus function, Poisson's ratio function, thermal expansion coefficient function and contraction coefficient function of the key parameters of the concrete to be regulated;

[0110] Calculating the elastic modulus value of the concrete to be regulated based on the elastic modulus function;

[0111] Wherein, the elastic modulus function is:

[0112] θ=Y / σ

[0113] Among them, θ represents the elastic modulus value of the concrete to be regulated, Y represents the stress of the concrete to be regulated, and σ represents the strain of the concrete to be regulated;

[0114] Calculating the Poisson's ratio value of the concrete to be regulated based on the Poisson's ratio function;

[0115] Wherein, the Poisson's ratio function is:

[0116] ε=σ xy / σ xx

[0117] Among them, ε represents the Poisson's ratio of the concrete to be regulated, σ xy represents the lateral strain of the concrete to be regulated, σ xx represents the longitudinal strain of the concrete to be regulated;

[0118] Calculating the thermal expansion coefficient value of the concrete to be regulated based on the thermal expansion coefficient function;

[0119] Wherein, the thermal expansion coefficient function is:

[0120] β=ΔL / L·ΔT

[0121] Wherein, β represents the thermal expansion coefficient of the concrete to be regulated, ΔL represents the length change of the concrete to be regulated, L represents the original length of the concrete to be regulated, and ΔT represents the temperature change of the concrete to be regulated;

[0122] Calculating the shrinkage coefficient value of the concrete to be regulated based on the shrinkage coefficient function;

[0123] Wherein, the shrinkage coefficient function is:

[0124] β=ΔS / S·Δα

[0125] Wherein, β represents the thermal expansion coefficient of the concrete to be regulated, ΔS represents the volume change of the concrete to be regulated, S represents the original volume of the concrete to be regulated, and Δα represents the moisture change of the concrete to be regulated;

[0126] Constructing a sequence list of the elastic modulus values, the Poisson's ratio values, the thermal expansion coefficient values, and the contraction coefficient values ​​under different temperature and humidity conditions;

[0127] Fitting the list data values ​​of the sequence list to obtain the mathematical relationship of the key parameters;

[0128] Based on the mathematical relationship, a four-element orthogonal model of the concrete to be regulated is constructed.

[0129] Among them, the elastic modulus value, the Poisson's ratio value, the thermal expansion coefficient value and the shrinkage coefficient value refer to parameter values ​​measured under specific environmental conditions, the stress of the concrete to be regulated refers to the force borne by the concrete under specific conditions, the strain of the concrete to be regulated refers to the deformation of the concrete when it is subjected to stress, the transverse strain of the concrete to be regulated refers to the deformation of the concrete when it is subjected to stress in the transverse direction, the longitudinal strain of the concrete to be regulated refers to the deformation of the concrete when it is subjected to stress in the longitudinal direction, the length change of the concrete to be regulated refers to the change of the length of the concrete to be regulated under specific conditions, the temperature change of the concrete to be regulated refers to the change of the temperature of the concrete to be regulated under specific conditions, the volume change of the concrete to be regulated refers to the change of the volume of the concrete to be regulated under specific conditions, the moisture change of the concrete to be regulated refers to the change of the moisture of the concrete to be regulated under specific conditions, the sequence list refers to a list of parameter values ​​under different temperature and humidity conditions arranged according to corresponding time, and the mathematical relationship refers to the mathematical logical association relationship between parameters.

[0130] Furthermore, the fitting of the list data values ​​of the sequence list to obtain the mathematical relationship of the key parameters can be analyzed by linear regression, polynomial regression, or nonlinear least squares method.

[0131] S2. Establishing a geometric model of the concrete to be regulated, creating a computational fluid dynamics grid of the geometric model, and identifying a grid quality of a grid corresponding to the computational fluid dynamics grid.

[0132] The present invention can visualize the concrete by establishing a geometric model of the concrete to be regulated, so as to more intuitively understand the concrete to be regulated. The geometric model refers to a concrete structure model constructed by three-dimensional software.

[0133] In detail, the step of establishing the geometric model of the concrete to be regulated includes:

[0134] Identifying the geometric structure and texture characteristics of the concrete to be regulated;

[0135] Based on the geometric structure, construct a basic profile of the regulated concrete;

[0136] Based on the texture features, adding detail components of the basic contour to obtain a geometric initial model;

[0137] Establishing model constraints of the geometric initial model to obtain a constrained geometric model, wherein the model constraints include position constraints and geometric constraints;

[0138] Identifying a collision conflict coefficient of the constrained geometric model;

[0139] When the collision conflict coefficient meets the preset collision conflict threshold, a geometric model of the concrete to be regulated is established.

[0140] Among them, the geometric structure refers to the basic shape and size of the concrete structure, including walls, columns, beams, plates, etc., the texture features refer to the details of the concrete surface, such as holes, cracks, textures, etc., the basic outline refers to the approximate shape of the concrete structure, such as a cuboid, a cylinder, etc., the detail components refer to the detail features added based on the basic outline, such as doors, windows, railings, decorative lines, etc., the geometric initial model is a preliminary model with detail components added on the basis of the basic outline, the constrained geometric model refers to a model with model constraints (position constraints and geometric constraints) established on the geometric initial model, the position constraint refers to the relative position relationship of the model components in space, such as fixed, sliding, rotating, etc., the geometric constraint refers to the geometric relationship between the model components, such as parallel, vertical, coplanar, etc., the collision conflict coefficient is the degree of collision conflict between the model components or between the model and the external environment, usually expressed in numerical values, and the collision conflict threshold is a preset collision conflict coefficient standard, which is used to determine whether there is a collision conflict in the model. Further, the identification of the geometric structure and texture features of the concrete to be regulated can be performed by feature extraction through image processing technology.

[0141] Further, the identifying the collision coefficient of the constrained geometric model includes:

[0142] identifying a collision type of the constrained geometric model;

[0143] Based on the collision type, construct a collision threshold of the constrained geometric model;

[0144] identifying model components of the constrained geometric model;

[0145] marking structural boundary points of the model components;

[0146] The minimum distance between the model components and the structural boundary points is calculated using the following formula:

[0147] d=min(dac1,dac2,dac3,…,dacn)

[0148] Where, d represents the minimum distance between the a-th model component and the c-th model component, min represents the minimum function, dac1, dac2, dac3, …, dacn represent the distances between the corresponding structural boundary points of the a-th model component and the c-th model component;

[0149] A collision conflict coefficient of the constrained geometric model is evaluated based on the minimum distance and the collision threshold.

[0150] Among them, the collision type refers to the type of physical conflict that may occur between model components, such as overlap, intersection, gap and other types; the collision threshold refers to a preset distance threshold, which is used to determine whether the collision between model components reaches a level that needs to be processed; the model component refers to a part of the overall model, such as walls, columns, beams, plates and other components; the structural boundary point refers to the key point on the surface of the model component, which is used to determine the distance and collision between model components; the minimum distance refers to the minimum distance between the corresponding structural boundary points of two model components.

[0151] It should be explained that the computational fluid dynamics grid refers to a discretized grid used for numerical simulation of computational fluid dynamics (CFD) problems.

[0152] In detail, the creating a computational fluid dynamics mesh of the geometric model comprises:

[0153] Inputting the geometric model into a preset meshing tool, and standardizing the geometric model to obtain a standardized geometric model;

[0154] analyzing the simulation accuracy of the standardized geometric model;

[0155] Based on the simulation accuracy, determining a mesh construction type of the standardized geometric model;

[0156] Based on the mesh construction type, creating a mesh topology of the standardized geometric model, wherein the mesh topology includes a mesh size and a mesh density;

[0157] A computational fluid dynamics mesh of the standardized geometric model is constructed based on the mesh construction type and the mesh topology.

[0158] Among them, the meshing tool refers to a software tool for creating meshes, such as ANSYS Meshing, Gambit, ICEM CFD and other tools; the standardized geometric model refers to a geometric model that has been preprocessed and adjusted to meet the requirements of the meshing tool; standardization may include repairing defects in the model, simplifying the model, and adding necessary features (such as interfaces, initialization surfaces, etc.); the simulation accuracy refers to the degree of closeness between the simulation results and the actual situation; the mesh construction type refers to the meshing strategy, such as structured mesh, unstructured mesh, hybrid mesh, etc.; the mesh size refers to the size of the mesh unit, and smaller mesh units can improve the simulation accuracy; the mesh density refers to the distribution density of the mesh units in space, and a dense mesh can improve the simulation accuracy, especially in the boundary layer and flow separation area.

[0159] The present invention identifies the grid quality of the grid corresponding to the computational fluid dynamics grid and can increase the simulation effect by improving the grid quality. The grid quality refers to the degree to which the grid meets the requirements. The grid quality can be analyzed by identifying the number of invalid geometric operations in the grid unit.

[0160] S3. When the mesh quality meets the preset quality standard, define the material properties and boundary conditions of the computational fluid dynamics mesh.

[0161] The present invention can ensure that the material properties and boundary conditions of the computational fluid dynamics grid are correctly set by defining the material properties and boundary conditions of the computational fluid dynamics grid when the grid quality meets the preset quality standards, thereby providing an accurate basis for subsequent CFD simulation. The material properties refer to the physical properties of concrete materials, such as density, viscosity, thermal conductivity, etc., and the boundary conditions refer to the physical conditions on the boundary of the simulation area, such as velocity, pressure, temperature, etc.

[0162] In detail, the material properties and boundary strips of the computational fluid dynamics grid are defined by assigning material properties to grid cells, ensuring that each cell has the correct material properties. This step may require adjustment based on the location and shape of the grid cells. Next, boundary conditions are applied to the corresponding boundaries, ensuring that the conditions on the boundaries are set correctly.

[0163] S4. Based on the material properties and the boundary conditions, a multi-physics field coupling model of the computational fluid dynamics grid is established in a preset FEA environment and CFD environment, and the quaternary orthogonal model and the multi-physics field coupling model are integrated to obtain an integrated quaternary orthogonal model.

[0164] Based on the material properties and the boundary conditions, the present invention establishes the multi-physics coupling model of the computational fluid dynamics grid in the preset FEA environment and CFD environment to provide a basis for multi-physics coupling simulation. The multi-physics coupling model can more accurately predict and analyze the deformation and stress distribution of the concrete structure.

[0165] In detail, based on the material properties and the boundary conditions, in a preset FEA environment and CFD environment, a multi-physics field coupling model of the computational fluid dynamics grid is established, including:

[0166] Based on the material properties, configuring simulation parameters of the computational fluid dynamics grid in the CFD environment;

[0167] constructing a fluid dynamics simulation model of the computational fluid dynamics grid based on the simulation parameters;

[0168] configuring mechanical properties of the computational fluid dynamics grid in the FEA environment based on the boundary conditions;

[0169] Based on the mechanical properties, construct a structural mechanics model of a computational fluid dynamics grid;

[0170] analyzing the communication coefficients of the CFD environment and the FEA environment;

[0171] When the communication coefficient meets a preset communication threshold, a multi-physics coupling model of the computational fluid dynamics grid is constructed based on the fluid dynamics simulation model and the structural mechanics model.

[0172] The simulation parameters refer to the parameters used to define CFD simulation, such as fluid type, turbulence model, grid division parameters, time step and other parameters; the fluid dynamics simulation model refers to the fluid dynamics model constructed according to the simulation parameters in the CFD environment, and the model includes grids, material properties, boundary conditions, initial conditions and solver settings; the mechanical properties refer to the parameters used to define FEA simulation, such as elastic modulus, Poisson's ratio, grid division parameters, etc.; the structural mechanics model refers to the structural mechanics model constructed according to the mechanical properties in the FEA environment, and the model includes grids, material properties, boundary conditions, initial conditions and solver settings; the communication coefficient refers to the efficiency and accuracy of data exchange between the CFD environment and the FEA environment; the multi-physics field coupling model refers to the fluid dynamics model and the structural mechanics model constructed in the CFD and FEA environments respectively, and coupled through the communication coefficient.

[0173] Furthermore, when the communication coefficient meets a preset communication threshold, based on the fluid dynamics simulation model and the structural mechanics model, a multi-physics coupling model of the computational fluid dynamics grid is constructed to set coupling conditions such as temperature, stress, etc. between CFD and FEA software to ensure that data can be exchanged between the two simulations and realize multi-physics coupling.

[0174] The present invention integrates the quaternary orthogonal model and the multi-physical field coupling model to obtain an integrated quaternary orthogonal model, which can realize the integration of the quaternary orthogonal model and the multi-physical field coupling model, forming a more comprehensive and accurate integrated quaternary orthogonal model, thereby improving the effect of predicting and regulating the deformation of concrete structures.

[0175] In detail, the four-element orthogonal model and the multi-physics field coupling model are integrated to obtain an integrated four-element orthogonal model, including:

[0176] Constructing a unified model framework of the quaternary orthogonal model and the multi-physics field coupling model;

[0177] In the unified model framework, analyzing the parameter correlation coefficients of the quaternary orthogonal model and the multi-physics field coupling model;

[0178] Based on the parameter correlation coefficient, parameter correlation is performed on the quaternary orthogonal model and the multi-physics field coupling model to obtain model correlation parameters;

[0179] The four-element orthogonal model and the multi-physics field coupling model are integrated through the model association parameters to obtain an initial integrated four-element orthogonal model;

[0180] Analyzing the deformation prediction performance of the initial integrated quaternary orthogonal model using preset test data;

[0181] When the deformation prediction performance meets the preset deformation prediction standard, the initial integrated four-element orthogonal model is used as the integrated four-element orthogonal model.

[0182] Among them, the model unified framework refers to integrating the quaternary orthogonal model and the multi-physical field coupling model into a common framework to form a unified model system, the parameter correlation coefficient refers to the correlation between the parameters in the quaternary orthogonal model and the multi-physical field coupling model, the model association parameter refers to the parameters that are mutually correlated in the two models determined by parameter correlation coefficient analysis, the initial integrated quaternary orthogonal model refers to the model obtained by preliminarily integrating the quaternary orthogonal model and the multi-physical field coupling model through model association parameters, the test data refers to simulation data or experimental data used to verify the performance of the integrated model, the deformation prediction performance refers to the accuracy of the integrated model in predicting concrete deformation, the deformation prediction standard refers to the preset deformation prediction accuracy standard, and the integrated quaternary orthogonal model refers to an initial integrated quaternary orthogonal model that has been verified and optimized and whose deformation prediction performance meets the preset standard.

[0183] S5. Use a preset sensor system to collect real-time concrete data of the concrete to be regulated, input the real-time concrete data into the integrated four-element orthogonal model to obtain a deformation analysis result of the concrete to be regulated, and based on the deformation analysis result, use a preset adaptive control system to adjust the construction parameters of the concrete to be regulated to obtain target concrete.

[0184] It should be explained that the sensor system refers to a set of equipment used to monitor the performance and status of concrete structures, which usually includes various types of sensors, such as temperature sensors, humidity sensors, strain sensors, displacement sensors, etc. The real-time concrete data refers to the state data of the concrete structure collected in real time by the sensor system, which includes parameters such as temperature, humidity, stress, strain, displacement, etc. The deformation analysis results refer to the deformation analysis results of the concrete to be regulated that will be output by the four-element orthogonal model, including deformation variables, stress distribution, strain distribution and other data.

[0185] Based on the deformation analysis results, the present invention uses a preset adaptive control system to adjust the construction parameters of the concrete to be controlled, and obtains the target concrete to achieve effective control of the deformation of the concrete structure. This method can improve the quality of concrete engineering and ensure the stability and safety of the structure.

[0186] In detail, based on the deformation analysis result, the construction parameters of the concrete to be regulated are adjusted by using a preset adaptive control system to obtain target concrete, including:

[0187] Analyzing the deformation type of the concrete to be regulated based on the deformation analysis result;

[0188] Based on the deformation type, determining a target to be regulated of the concrete to be regulated;

[0189] Mapping the target to be regulated and the corresponding regulation function of the adaptive regulation system to obtain a target regulation function;

[0190] Analyzing the optimal parameter group of the concrete to be regulated based on the target regulation function;

[0191] The construction parameters of the concrete to be regulated are regulated by the optimal parameter group to obtain the target concrete.

[0192] Among them, the deformation type refers to the deformation type that may occur in the concrete structure during construction and service, such as elastic deformation, plastic deformation, temperature deformation, humidity deformation and the like. For example, for a concrete bridge, it may be necessary to pay attention to the longitudinal and lateral deformations caused by temperature changes. The adaptive control system refers to a system that can automatically adjust the construction parameters according to real-time monitoring data and model prediction results. The target to be controlled refers to the aspect of the concrete structure that needs to be adjusted and optimized according to the deformation type. For example, if it is predicted that the concrete structure may shrink excessively, the target to be controlled may be to reduce the degree of shrinkage and improve the long-term stability of the structure. The target control Function refers to a function obtained by mapping the target to be regulated with the control function in the adaptive control system. For example, if the target to be regulated is to reduce the shrinkage of concrete, the target control function may be to adjust the curing conditions to reduce the humidity change of concrete. The optimal parameter group refers to the optimal combination of concrete construction parameters obtained by analyzing the target control function. For example, the optimal parameter group may include specific curing temperature, humidity and time, as well as concrete mix ratio adjustment. The target concrete refers to the concrete structure obtained by regulating the optimal parameter group. For example, the target concrete is a concrete with lower shrinkage and higher stability under preset optimal curing conditions.

[0193] Furthermore, the optimal parameter group of the concrete to be regulated based on the target regulation function can be analyzed by searching for the best combination of construction parameters through optimization functions such as genetic algorithm, particle swarm optimization, simulated annealing, etc.

[0194] The present invention solves the problems described in the background technology. By determining the deformation control requirements of the concrete to be controlled, the present invention can formulate a targeted control strategy to improve the performance and durability of the concrete structure; based on the key parameter data, the present invention determines that the mathematical relationship of the key parameters can provide a basis for the construction of a quaternary orthogonal model; when the mesh quality meets the preset quality standards, the present invention defines the material properties and boundary conditions of the computational fluid dynamics mesh to ensure that the material properties and boundary conditions of the computational fluid dynamics mesh are correctly set, thereby providing an accurate basis for subsequent CFD simulation; further, based on the material properties and the boundary conditions, the present invention, in a preset FEA environment and CFD environment, The multi-physics coupling model of the computational fluid dynamics grid is established to provide a basis for multi-physics coupling simulation. The multi-physics coupling model can more accurately predict and analyze the deformation and stress distribution of the concrete structure. The present invention integrates the quaternary orthogonal model and the multi-physics coupling model to obtain an integrated quaternary orthogonal model. The quaternary orthogonal model and the multi-physics coupling model can be integrated to form a more comprehensive and accurate integrated quaternary orthogonal model, thereby improving the effect of predicting and regulating the deformation of the concrete structure. Finally, based on the deformation analysis results, the present invention uses a preset adaptive control system to adjust the construction parameters of the concrete to be regulated, and obtains the target concrete to achieve effective control of the deformation of the concrete structure. Therefore, the present invention can improve the deformation regulation effect of concrete.

[0195] like Figure 2 , which is a functional module diagram of a concrete deformation control system based on a quaternary orthogonal model provided by an embodiment of the present invention.

[0196] The concrete deformation control system 100 based on the quaternary orthogonal model of the present invention can be installed in an electronic device. According to the functions to be implemented, the concrete deformation control system 100 based on the quaternary orthogonal model can include a quaternary orthogonal model construction module 101, a dynamic grid construction module 102, a dynamic grid definition module 103, a quaternary orthogonal model integration module 104 and a concrete parameter adjustment module 105. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0197] The performance optimization target determination module 101 is used to determine the deformation control demand of the concrete to be controlled, and based on the deformation control demand, obtain key parameter data corresponding to key parameters of the concrete to be controlled, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient and contraction coefficient, and construct a four-element orthogonal model of the concrete to be controlled based on the key parameter data;

[0198] The dynamic grid construction module 102 is used to establish the geometric model of the concrete to be regulated, create a computational fluid dynamics grid of the geometric model, and identify the grid quality of the grid corresponding to the computational fluid dynamics grid;

[0199] The dynamic grid definition module 103 is used to define the material properties and boundary conditions of the computational fluid dynamics grid when the grid quality meets the preset quality standard;

[0200] The quaternary orthogonal model integration module 104 is used to establish a multi-physics field coupling model of the computational fluid dynamics grid in a preset FEA environment and CFD environment based on the material properties and the boundary conditions, and integrate the quaternary orthogonal model and the multi-physics field coupling model to obtain an integrated quaternary orthogonal model;

[0201] The concrete parameter adjustment module 105 is used to collect real-time concrete data of the concrete to be adjusted by using a preset sensor system, input the real-time concrete data into the integrated four-element orthogonal model, obtain the deformation analysis result of the concrete to be adjusted, and based on the deformation analysis result, adjust the construction parameters of the concrete to be adjusted by using a preset adaptive control system to obtain the target concrete.

[0202] In detail, the modules in the concrete deformation control system 100 based on the quaternary orthogonal model in the embodiment of the present invention are used in the same manner as described above. Figure 1 The same technical means as the concrete deformation control method based on the quaternary orthogonal model described in the text can produce the same technical effects, so I will not go into details here.

[0203] like Figure 3 , which is a schematic diagram of the structure of an electronic device for implementing a method for controlling concrete deformation based on a quaternary orthogonal model provided by an embodiment of the present invention.

[0204] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a concrete deformation control method program based on a quaternary orthogonal model.

[0205] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. The memory 11 may be an internal storage unit of the electronic device 1 in some embodiments, such as a mobile hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card, etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 may be used not only to store application software and various types of data installed in the electronic device 1, such as the code of the concrete deformation control method program based on the quaternary orthogonal model, but also to temporarily store data that has been output or is to be output.

[0206] In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (such as a concrete deformation control method program based on a quaternary orthogonal model, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0207] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0208] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0209] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0210] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0211] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0212] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0213] The concrete deformation control method program based on the quaternary orthogonal model stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0214] Determine the deformation control requirement of the concrete to be controlled, and based on the deformation control requirement, obtain key parameter data of key parameters corresponding to the concrete to be controlled, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient and contraction coefficient, and construct a quaternary orthogonal model of the concrete to be controlled based on the key parameter data;

[0215] Establishing a geometric model of the concrete to be regulated, creating a computational fluid dynamics grid of the geometric model, and identifying a grid quality of a grid corresponding to the computational fluid dynamics grid;

[0216] When the quality of the grid meets the preset quality standard, defining material properties and boundary conditions of the computational fluid dynamics grid;

[0217] Based on the material properties and the boundary conditions, in a preset FEA environment and CFD environment, a multi-physics field coupling model of the computational fluid dynamics grid is established, and the quaternary orthogonal model and the multi-physics field coupling model are integrated to obtain an integrated quaternary orthogonal model;

[0218] A preset sensing system is used to collect real-time concrete data of the concrete to be regulated, and the real-time concrete data is input into the integrated four-element orthogonal model to obtain a deformation analysis result of the concrete to be regulated. Based on the deformation analysis result, a preset adaptive control system is used to adjust the construction parameters of the concrete to be regulated to obtain the target concrete.

[0219] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0220] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0221] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0222] Determine the deformation control requirement of the concrete to be controlled, and based on the deformation control requirement, obtain key parameter data of key parameters corresponding to the concrete to be controlled, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient and contraction coefficient, and construct a quaternary orthogonal model of the concrete to be controlled based on the key parameter data;

[0223] Establishing a geometric model of the concrete to be regulated, creating a computational fluid dynamics grid of the geometric model, and identifying a grid quality of a grid corresponding to the computational fluid dynamics grid;

[0224] When the quality of the grid meets the preset quality standard, defining material properties and boundary conditions of the computational fluid dynamics grid;

[0225] Based on the material properties and the boundary conditions, in a preset FEA environment and CFD environment, a multi-physics field coupling model of the computational fluid dynamics grid is established, and the quaternary orthogonal model and the multi-physics field coupling model are integrated to obtain an integrated quaternary orthogonal model;

[0226] A preset sensing system is used to collect real-time concrete data of the concrete to be regulated, and the real-time concrete data is input into the integrated four-element orthogonal model to obtain a deformation analysis result of the concrete to be regulated. Based on the deformation analysis result, a preset adaptive control system is used to adjust the construction parameters of the concrete to be regulated to obtain the target concrete.

[0227] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0228] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0229] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0230] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0231] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the system claim can also be implemented by one unit or device through software or hardware. The second and other words are used to indicate names, but not to indicate any particular order.

[0232] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for controlling concrete deformation based on a quaternary orthogonal model, characterized in that: The method comprises: Determine the deformation control requirement of the concrete to be controlled, and based on the deformation control requirement, obtain key parameter data of key parameters corresponding to the concrete to be controlled, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient and contraction coefficient, and construct a quaternary orthogonal model of the concrete to be controlled based on the key parameter data; Establishing a geometric model of the concrete to be regulated, creating a computational fluid dynamics grid of the geometric model, and identifying a grid quality of a grid corresponding to the computational fluid dynamics grid; When the quality of the grid meets the preset quality standard, defining material properties and boundary conditions of the computational fluid dynamics grid; Based on the material properties and the boundary conditions, in a preset FEA environment and CFD environment, a multi-physics field coupling model of the computational fluid dynamics grid is established, and the quaternary orthogonal model and the multi-physics field coupling model are integrated to obtain an integrated quaternary orthogonal model; A preset sensing system is used to collect real-time concrete data of the concrete to be regulated, and the real-time concrete data is input into the integrated four-element orthogonal model to obtain a deformation analysis result of the concrete to be regulated. Based on the deformation analysis result, a preset adaptive control system is used to adjust the construction parameters of the concrete to be regulated to obtain the target concrete.

2. The method for controlling concrete deformation based on a quaternary orthogonal model according to claim 1, characterized in that: The step of determining the deformation control requirement of the concrete to be controlled includes: Identifying the concrete application scenario of the concrete to be regulated and the characteristics of the concrete to be regulated; Analyze application scenario characteristics of the concrete application scenario; Determining the deformation risk of the concrete application scenario based on the characteristics of the concrete to be regulated and the characteristics of the application scenario; a deformation risk factor marking the deformation risk; Based on the deformation risk factor, the deformation control requirement of the concrete to be controlled is determined.

3. The method for controlling concrete deformation based on a quaternary orthogonal model according to claim 2, characterized in that: The method of constructing a four-element orthogonal model of the concrete to be regulated based on the key parameter data includes: Based on the key parameter data, respectively constructing the elastic modulus function, Poisson's ratio function, thermal expansion coefficient function and contraction coefficient function of the key parameters of the concrete to be regulated; Calculating the elastic modulus value of the concrete to be regulated based on the elastic modulus function; Wherein, the elastic modulus function is: θ=Y / σ Among them, θ represents the elastic modulus value of the concrete to be regulated, Y represents the stress of the concrete to be regulated, and σ represents the strain of the concrete to be regulated; Calculating the Poisson's ratio value of the concrete to be regulated based on the Poisson's ratio function; Among them, the Poisson's ratio function: e=s xy / s xx Among them, ε represents the Poisson's ratio of the concrete to be regulated, σ xy represents the lateral strain of the concrete to be regulated, σ xx represents the longitudinal strain of the concrete to be regulated; Calculating the thermal expansion coefficient value of the concrete to be regulated based on the thermal expansion coefficient function; Wherein, the thermal expansion coefficient function is: β=ΔL / L·ΔT Wherein, β represents the thermal expansion coefficient of the concrete to be regulated, ΔL represents the length change of the concrete to be regulated, L represents the original length of the concrete to be regulated, and ΔT represents the temperature change of the concrete to be regulated; Calculating the shrinkage coefficient value of the concrete to be regulated based on the shrinkage coefficient function; Wherein, the shrinkage coefficient function is: β=ΔS / S·Δα Wherein, β represents the thermal expansion coefficient of the concrete to be regulated, ΔS represents the volume change of the concrete to be regulated, S represents the original volume of the concrete to be regulated, and Δα represents the moisture change of the concrete to be regulated; Constructing a sequence list of the elastic modulus values, the Poisson's ratio values, the thermal expansion coefficient values, and the contraction coefficient values ​​under different temperature and humidity conditions; Fitting the list data values ​​of the sequence list to obtain the mathematical relationship of the key parameters; Based on the mathematical relationship, a four-element orthogonal model of the concrete to be regulated is constructed.

4. The method for controlling concrete deformation based on a quaternary orthogonal model according to claim 3, characterized in that: The step of establishing a geometric model of the concrete to be regulated comprises: Identifying the geometric structure and texture characteristics of the concrete to be regulated; Based on the geometric structure, construct a basic profile of the regulated concrete; Based on the texture features, adding detail components of the basic contour to obtain a geometric initial model; Establishing model constraints of the geometric initial model to obtain a constrained geometric model, wherein the model constraints include position constraints and geometric constraints; Identifying a collision conflict coefficient of the constrained geometric model; When the collision conflict coefficient meets the preset collision conflict threshold, a geometric model of the concrete to be regulated is established.

5. The method for controlling concrete deformation based on a quaternary orthogonal model according to claim 4, characterized in that: The identifying the collision coefficient of the constrained geometric model includes: identifying a collision type of the constrained geometric model; Based on the collision type, construct a collision threshold of the constrained geometric model; Identifying structural boundary points of model components corresponding to the constrained geometric model; The minimum distance between the model components and the structural boundary points is calculated using the following formula: d=min(dac1,dac2,dac3,…,dacn) Wherein, d represents the minimum distance between the a-th model component and the c-th model component, min is the minimum value function, dac1, dac2, dac3, …, dacn represent the distance between the corresponding structural boundary points of the a-th model component and the c-th model component; A collision conflict coefficient of the constrained geometric model is evaluated based on the minimum distance and the collision threshold.

6. The method for controlling concrete deformation based on a quaternary orthogonal model according to claim 5, characterized in that: The step of creating a computational fluid dynamics mesh of the geometric model comprises: Inputting the geometric model into a preset meshing tool, and standardizing the geometric model to obtain a standardized geometric model; analyzing the simulation accuracy of the standardized geometric model; Based on the simulation accuracy, determining a mesh construction type of the standardized geometric model; Based on the mesh construction type, creating a mesh topology of the standardized geometric model, wherein the mesh topology includes a mesh size and a mesh density; A computational fluid dynamics mesh of the standardized geometric model is constructed based on the mesh construction type and the mesh topology.

7. The method for controlling concrete deformation based on a quaternary orthogonal model according to claim 6, characterized in that: The multi-physics field coupling model of the computational fluid dynamics grid is established in a preset FEA environment and CFD environment based on the material properties and the boundary conditions, including: Based on the material properties, configuring simulation parameters of the computational fluid dynamics grid in the CFD environment; constructing a fluid dynamics simulation model of the computational fluid dynamics grid based on the simulation parameters; configuring mechanical properties of the computational fluid dynamics grid in the FEA environment based on the boundary conditions; Based on the mechanical properties, construct a structural mechanics model of a computational fluid dynamics grid; analyzing the communication coefficients of the CFD environment and the FEA environment; When the communication coefficient meets a preset communication threshold, a multi-physics coupling model of the computational fluid dynamics grid is constructed based on the fluid dynamics simulation model and the structural mechanics model.

8. The method for controlling concrete deformation based on a quaternary orthogonal model according to claim 7, characterized in that: The step of integrating the quaternary orthogonal model and the multi-physics field coupling model to obtain an integrated quaternary orthogonal model comprises: Constructing a unified model framework of the quaternary orthogonal model and the multi-physics field coupling model; In the unified model framework, analyzing the parameter correlation coefficients of the quaternary orthogonal model and the multi-physics field coupling model; Based on the parameter correlation coefficient, parameter correlation is performed on the quaternary orthogonal model and the multi-physics field coupling model to obtain model correlation parameters; The four-element orthogonal model and the multi-physics field coupling model are integrated through the model association parameters to obtain an initial integrated four-element orthogonal model; Analyzing the deformation prediction performance of the initial integrated quaternary orthogonal model using preset test data; When the deformation prediction performance meets the preset deformation prediction standard, the initial integrated four-element orthogonal model is used as the integrated four-element orthogonal model.

9. The method for controlling concrete deformation based on a quaternary orthogonal model according to claim 8, characterized in that: The method of adjusting the construction parameters of the concrete to be regulated by using a preset adaptive regulation system based on the deformation analysis result to obtain target concrete includes: Analyzing the deformation type of the concrete to be regulated based on the deformation analysis result; Based on the deformation type, determining a target to be regulated of the concrete to be regulated; Mapping the target to be regulated and the corresponding regulation function of the adaptive regulation system to obtain a target regulation function; Analyzing the optimal parameter group of the concrete to be regulated based on the target regulation function; The construction parameters of the concrete to be regulated are regulated by the optimal parameter group to obtain the target concrete.

10. A concrete deformation control system based on a quaternary orthogonal model, characterized in that: The system comprises: A four-element orthogonal model building module is used to determine the deformation control requirements of the concrete to be controlled, and based on the deformation control requirements, obtain key parameter data corresponding to key parameters of the concrete to be controlled, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient and contraction coefficient, and build a four-element orthogonal model of the concrete to be controlled based on the key parameter data; A dynamic mesh construction module is used to establish a geometric model of the concrete to be regulated, create a computational fluid dynamics mesh of the geometric model, and identify the mesh quality of the mesh corresponding to the computational fluid dynamics mesh; A dynamic mesh definition module, used to define material properties and boundary conditions of the computational fluid dynamics mesh when the mesh quality meets a preset quality standard; A quaternary orthogonal model integration module is used to establish a multi-physics field coupling model of the computational fluid dynamics grid in a preset FEA environment and CFD environment based on the material properties and the boundary conditions, and integrate the quaternary orthogonal model and the multi-physics field coupling model to obtain an integrated quaternary orthogonal model; The concrete parameter adjustment module is used to collect real-time concrete data of the concrete to be adjusted by using a preset sensor system, input the real-time concrete data into the integrated four-element orthogonal model, obtain the deformation analysis result of the concrete to be adjusted, and based on the deformation analysis result, adjust the construction parameters of the concrete to be adjusted by using a preset adaptive control system to obtain the target concrete.

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