A concrete deformation control method and system based on four-element orthogonal model

Abstract

The present invention relates to the field of materials science and is directed to a method and system for controlling concrete deformation based on a quaternary orthogonal model. The method comprises: determining the deformation control requirements of the concrete to be controlled, obtaining key parameter data corresponding to key parameters of the concrete to be controlled, and constructing a quaternary orthogonal model of the concrete to be controlled; establishing a geometric model of the concrete to be controlled, creating a computational fluid dynamics (CFD) grid for the geometric model, and defining material properties and boundary conditions for the CFD grid; establishing a multi-physics coupling model for the CFD grid, integrating the quaternary orthogonal model and the multi-physics coupling model to obtain an integrated quaternary orthogonal model; inputting real-time concrete data into the integrated quaternary orthogonal model to obtain deformation analysis results of the concrete to be controlled, and using a preset adaptive control system to adjust the construction parameters of the concrete to be controlled to obtain the target concrete. The present invention can improve the deformation control effect of concrete.

Description

Technical Field

[0001] The present invention relates to the field of materials 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] Currently, traditional methods may consider the effects of factors such as temperature, humidity, and load on concrete deformation separately, but this approach ignores the interactions between these factors. For example, temperature changes may exacerbate concrete shrinkage caused by humidity changes, while load effects may lead to uneven stress distribution under temperature gradients, resulting in poor control of concrete deformation. Therefore, how to monitor concrete deformation control through other models is an urgent problem to be solved. By introducing concrete deformation control using a four-element orthogonal model, it is possible to simultaneously consider the four key parameters of elastic modulus, Poisson's ratio, thermal expansion coefficient, and shrinkage coefficient within a unified framework, and 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 quaternion orthogonal model, the main purpose of which is to improve the deformation control effect of concrete.

[0005] To achieve the above-mentioned purpose, the present invention provides a method for controlling concrete deformation based on a four-element orthogonal model, comprising:

[0006] Determining a deformation control requirement of the concrete to be controlled; obtaining key parameter data corresponding to key parameters of the concrete to be controlled based on the deformation control requirement, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient, and contraction coefficient; and constructing a four-element 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 mesh quality meets a preset quality standard, defining material properties and boundary conditions of the computational fluid dynamics mesh;

[0009] 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;

[0010] Real-time concrete data of the concrete to be controlled is collected using a preset sensing system, 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 controlled. Based on the deformation analysis result, the construction parameters of the concrete to be controlled are adjusted using a preset adaptive control system 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 and characteristics of the concrete to be regulated;

[0013] Analyze the 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, a 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, constructing 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] Wherein, θ represents the elastic modulus 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 controlled, σ xy represents the lateral strain of the concrete to be controlled, σ xx represents the longitudinal strain of the concrete to be controlled;

[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 establishing of the 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, constructing 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 a preset collision conflict threshold, a geometric model of the concrete to be regulated is established.

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

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

[0047] constructing a collision threshold of the constrained geometric model based on the collision type;

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

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

[0050] d=min(dac1,dac2,dac3,…,dacn)

[0051] Where 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 distances 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] Determining a mesh construction type of the standardized geometric model based on the simulation accuracy;

[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, establishing the multi-physics 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 includes:

[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 mesh in the FEA environment based on the boundary conditions;

[0063] constructing a structural mechanics model of a computational fluid dynamics grid based on the mechanical properties;

[0064] analyzing a communication coefficient between the CFD environment and the FEA environment;

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

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

[0067] Constructing a unified model framework of the quaternion 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] Integrating the four-element orthogonal model and the multi-physics field coupling model 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 a preset deformation prediction standard, the initial integrated four-element orthogonal model is used as the integrated four-element orthogonal model.

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

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

[0075] Determining a target for the concrete to be regulated based on the deformation type;

[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 further provides a concrete deformation control system based on a four-element orthogonal model, comprising:

[0080] a four-element orthogonal model construction module for determining the deformation control requirements of the concrete to be controlled, obtaining key parameter data corresponding to key parameters of the concrete to be controlled based on the deformation control requirements, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient, and contraction coefficient, and constructing a four-element orthogonal model of the concrete to be controlled based on the key parameter data;

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

[0082] a dynamic mesh definition module, configured 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 using a preset sensing system, input the real-time concrete data into the integrated four-element orthogonal model, obtain deformation analysis results of the concrete to be adjusted, and based on the deformation analysis results, adjust the construction parameters of the concrete to be adjusted using a preset adaptive control system to obtain target concrete.

[0085] In order to solve the above problem, the present invention further provides an 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 four-element orthogonal model.

[0088] In order to solve the above problems, the present invention also provides a computer-readable storage medium, which stores at least one instruction. 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 four-element 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 simulation; further, the present invention establishes the computational fluid dynamics grid based on the material properties and boundary conditions in a preset FEA environment and CFD environment. 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 concrete structures. The present invention integrates the four-element orthogonal model and the multi-physics coupling model to obtain an integrated four-element orthogonal model. This can achieve the integration of the four-element orthogonal model and the multi-physics coupling model, forming a more comprehensive and accurate integrated four-element orthogonal model, thereby improving the effect of predicting and regulating the deformation of concrete structures. 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 four-element orthogonal model according to an embodiment of the present invention;

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

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

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

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

[0095] The embodiment of the present application provides a method for controlling concrete deformation based on a four-element orthogonal model. The execution subject of the method for controlling concrete deformation based on the four-element orthogonal model includes, but is not limited to, at least one of 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 concrete deformation based on the 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.

[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 a deformation control requirement for the concrete to be controlled. Based on the deformation control requirement, 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. Based on the key parameter data, construct a four-element orthogonal model of the concrete to be controlled.

[0098] By determining the deformation control requirements of the concrete to be controlled, the present invention can formulate targeted control strategies to improve the performance and durability of concrete structures. 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 and characteristics of the concrete to be regulated;

[0101] Analyze the 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, a 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, 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 loss risk, 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 of the material in the elastic deformation stage, 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 transverse 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 expressed in 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. It 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, transverse strain, longitudinal strain and other data at different times.

[0107] The present invention, based on the key parameter data, determines the mathematical relationship of the key parameters, which can provide a basis for constructing 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, constructing 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] Wherein, θ represents the elastic modulus 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 controlled, σ xy represents the lateral strain of the concrete to be controlled, σ xx represents the longitudinal strain of the concrete to be controlled;

[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] 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 subjected to stress; the transverse strain of the concrete to be regulated refers to the deformation of the concrete when subjected to stress in the transverse direction; the longitudinal strain of the concrete to be regulated refers to the deformation of the concrete when subjected to stress in the longitudinal direction; the length change of the concrete to be regulated refers to the change in the length of the concrete to be regulated under specific conditions; the temperature change of the concrete to be regulated refers to the change in the temperature of the concrete to be regulated under specific conditions; the volume change of the concrete to be regulated refers to the change in the volume of the concrete to be regulated under specific conditions; the moisture change of the concrete to be regulated refers to the change in 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 a mathematical logical association between parameters.

[0130] Furthermore, the mathematical relationship of the key parameters obtained by fitting the list data values ​​of the sequence list 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, constructing 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 a preset collision conflict threshold, a geometric model of the concrete to be regulated is established.

[0140] The geometric structure refers to the basic shape and size of the concrete structure, including walls, columns, beams, slabs, etc. The texture features refer to the details of the concrete surface, such as holes, cracks, textures, etc. The basic outline refers to the general shape of the concrete structure, such as a cuboid, 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 based on 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, rotation, etc. The geometric constraint refers to the geometric relationship between the model components, such as parallel, perpendicular, coplanar, etc. The collision conflict coefficient is the degree of collision conflict between model components or between the model and the external environment, usually expressed as a numerical value. The collision conflict threshold is a preset collision conflict coefficient standard used to determine whether the model has a collision conflict. Furthermore, the identification of the geometric structure and texture features of the concrete to be regulated can be performed by feature extraction using image processing technology.

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

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

[0143] constructing a collision threshold of the constrained geometric model based on the collision type;

[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 corresponding structure 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, etc. The collision threshold refers to a preset distance threshold, which is used to determine whether the collision between model components reaches a level that requires processing. 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 of the 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] Determining a mesh construction type of the standardized geometric model based on the simulation accuracy;

[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 used to create 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; smaller mesh units can improve the simulation accuracy; the mesh density refers to the distribution density of the mesh units in space; dense meshes can improve the simulation accuracy, especially in the boundary layer and flow separation area.

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

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

[0161] The present invention ensures that the material properties and boundary conditions of the computational fluid dynamics (CFD) mesh are correctly set by defining the material properties and boundary conditions of the mesh when the mesh quality meets preset quality standards, providing an accurate foundation for subsequent CFD simulations. The material properties refer to the physical properties of the concrete material, such as density, viscosity, and thermal conductivity, while the boundary conditions refer to the physical conditions at the boundaries of the simulation area, such as velocity, pressure, and temperature.

[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 position and shape of the grid cells. Next, boundary conditions are applied to the corresponding boundaries to ensure 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 a multi-physics coupling model of the computational fluid dynamics grid in a 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 concrete structures.

[0165] In detail, the multi-physics 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:

[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 mesh in the FEA environment based on the boundary conditions;

[0169] constructing a structural mechanics model of a computational fluid dynamics grid based on the mechanical properties;

[0170] analyzing a communication coefficient between the CFD environment and the FEA environment;

[0171] When the communication coefficient meets a preset communication threshold, a multi-physics field 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 grid, 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 mechanical properties in the FEA environment, and the model includes grid, 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 structural mechanics model constructed in the CFD and FEA environments respectively, and coupled through the communication coefficient.

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

[0174] The present invention integrates the four-element orthogonal model and the multi-physics field coupling model to obtain an integrated four-element orthogonal model, which can realize the integration of the four-element orthogonal model and the multi-physics field coupling model, forming a more comprehensive and accurate integrated four-element orthogonal model, thereby improving the prediction and control of the deformation effect of the concrete structure.

[0175] In detail, the integration of the quaternary orthogonal model and the multi-physics field coupling model to obtain an integrated quaternary orthogonal model includes:

[0176] Constructing a unified model framework of the quaternion 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] Integrating the four-element orthogonal model and the multi-physics field coupling model 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 a 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-physics 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-physics field coupling model, the model association parameter refers to the parameters that are correlated with each other 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-physics 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 the 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 sensing 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 sensing system refers to a set of equipment used to monitor the performance and status of concrete structures. It generally includes various types of sensors, such as temperature sensors, humidity sensors, strain sensors, and displacement sensors. The real-time concrete data refers to the state data of the concrete structure collected in real time by the sensing system. This data includes parameters such as temperature, humidity, stress, strain, and displacement. The deformation analysis results refer to the deformation analysis results of the concrete to be controlled, which are output by the four-element orthogonal model, including data such as deformation, stress distribution, and strain distribution.

[0185] Based on the deformation analysis results, the present invention uses a pre-set adaptive control system to adjust the construction parameters of the concrete to be controlled, obtaining the target concrete and effectively controlling the deformation of the concrete structure. This method can improve the quality of concrete projects 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 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] Determining a target for the concrete to be regulated based on the deformation type;

[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, etc. 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 construction parameters based on 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 based on 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 The function refers to a function obtained by mapping the target to be controlled with the control function in the adaptive control system. For example, if the target to be controlled 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 analysis based on 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 control of the optimal parameter group. For example, the target concrete is concrete with lower shrinkage and higher stability under preset optimal curing conditions.

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

[0194] The present invention is to solve the problems described in the background technology. 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 determines the mathematical relationship of the key parameters based on the key parameter data, which can provide a basis for the construction of a quaternary orthogonal model; the present invention defines the material properties and boundary conditions of the computational fluid dynamics grid when the grid quality meets the preset quality standards, thereby ensuring that the material properties and boundary conditions of the computational fluid dynamics grid are correctly set, thereby providing an accurate basis for subsequent CFD simulation; further, the present invention, based on the material properties and boundary conditions, in a preset FEA environment and CFD environment, Establishing the multi-physics coupling model of the computational fluid dynamics 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 concrete structures. The present invention integrates the quaternary orthogonal model and the multi-physics coupling model to obtain an integrated quaternary orthogonal model. This can achieve the integration of the quaternary orthogonal model and the multi-physics 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. 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, obtaining 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 described in the present invention can be installed in an electronic device. Depending on the functionality 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. A module, also referred to as a unit, is a series of computer program segments that can be executed by an electronic device processor and perform a fixed function, and is stored in the electronic device's memory.

[0197] The performance optimization target determination module 101 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 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 a 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 configured to establish a multi-physics 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 with the multi-physics 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 using a preset sensing system, input the real-time concrete data into the integrated four-element orthogonal model, obtain deformation analysis results of the concrete to be adjusted, and based on the deformation analysis results, use a preset adaptive control system to adjust the construction parameters of the concrete to be adjusted to obtain 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 above. Figure 1 The same technical means as the concrete deformation control method based on the quaternary orthogonal model described in , and can produce the same technical effects, will not be repeated here.

[0203] like Figure 3 FIG. 1 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 according to 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, including a flash memory, a mobile hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 1. Furthermore, the memory 11 includes both an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as the code of the concrete deformation control method program based on the quaternary orthogonal model, but can also be used 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, such as 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 a combination of various control chips. The processor 10 is the control core (Control Unit) of the electronic device, connecting the various components of the entire electronic device using various interfaces and circuits. It executes or runs programs or modules stored in the memory 11 (such as a program for a method for controlling concrete deformation based on a quaternary orthogonal model), and calls data stored in the memory 11 to perform 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 enable communication between the memory 11 and at least one processor 10, etc.

[0208] Figure 3 Only the electronic device with components is shown, and it can be understood by those skilled in the art 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 further include a power source (such as a battery) for powering the various components. Preferably, the power source may be logically connected to the at least one processor 10 via a power management device, thereby implementing functions such as charging management, discharging management, and power consumption management through the power management device. The power source may further include any components such as one or more DC or AC power sources, a recharging device, a power failure detection circuit, a power converter or inverter, a power status indicator, etc. The electronic device 1 may further include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail 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 or an input unit (such as a keyboard). Optionally, the user interface may also be 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, or 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 the following:

[0214] Determining a deformation control requirement of the concrete to be controlled; obtaining key parameter data corresponding to key parameters of the concrete to be controlled based on the deformation control requirement, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient, and contraction coefficient; and constructing a four-element 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 mesh quality meets a preset quality standard, defining material properties and boundary conditions of the computational fluid dynamics mesh;

[0217] 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;

[0218] Real-time concrete data of the concrete to be controlled is collected using a preset sensing system, 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 controlled. Based on the deformation analysis result, the construction parameters of the concrete to be controlled are adjusted using a preset adaptive control system 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 modules / units integrated into the electronic device 1 are implemented as software functional units and sold or used as independent products, they 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 drive, a magnetic disk, an optical disk, a computer memory, or 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. When the computer program is executed by a processor of an electronic device, the computer program can implement:

[0222] Determining a deformation control requirement of the concrete to be controlled; obtaining key parameter data corresponding to key parameters of the concrete to be controlled based on the deformation control requirement, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient, and contraction coefficient; and constructing a four-element 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 mesh quality meets a preset quality standard, defining material properties and boundary conditions of the computational fluid dynamics mesh;

[0225] 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;

[0226] Real-time concrete data of the concrete to be controlled is collected using a preset sensing system, 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 controlled. Based on the deformation analysis result, the construction parameters of the concrete to be controlled are adjusted using a preset adaptive control system 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 exemplary, and actual implementations may have other division methods.

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

[0229] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or hardware plus software functional modules.

[0230] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, 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] Furthermore, 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 recited in a system claim may also be implemented by a single unit or device through software or hardware. Second-order terms are used to indicate names and do not imply any particular order.

[0232] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. 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 solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for controlling concrete deformation based on a quaternary orthogonal model, characterized in that: The method comprises: Determining a deformation control requirement of the concrete to be controlled; obtaining key parameter data corresponding to key parameters of the concrete to be controlled based on the deformation control requirement, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient, and contraction coefficient; and constructing a four-element 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 mesh quality meets a preset quality standard, defining material properties and boundary conditions of the computational fluid dynamics mesh; 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; Real-time concrete data of the concrete to be controlled is collected using a preset sensing system, 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 controlled. Based on the deformation analysis result, the construction parameters of the concrete to be controlled are adjusted using a preset adaptive control system to obtain the target concrete.

2. The method for controlling concrete deformation based on a quaternary orthogonal model according to claim 1, wherein: Determining the deformation control requirements of the concrete to be controlled includes: Identifying the concrete application scenario and characteristics of the concrete to be regulated; Analyze the 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, a 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, wherein: 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, constructing 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 Wherein, θ represents the elastic modulus 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; Wherein, the Poisson's ratio function is: e=s xy / s xx Among them, ε represents the Poisson's ratio of the concrete to be controlled, σ xy represents the lateral strain of the concrete to be controlled, σ xx represents the longitudinal strain of the concrete to be controlled; 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, wherein: 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, constructing 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 a 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, wherein: The identifying the collision coefficient of the constrained geometric model includes: Identifying a collision type of the constrained geometric model; constructing a collision threshold of the constrained geometric model based on the collision type; Identifying structural boundary points of the model components corresponding to the constrained geometric model; The minimum distance between the model components and the corresponding structure boundary points is calculated using the following formula: d=min(dac1,dac2,dac3,…,dacn) Where 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 distances 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, wherein: The 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; Determining a mesh construction type of the standardized geometric model based on the simulation accuracy; 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, wherein: The method of establishing a multi-physics coupling model of the computational fluid dynamics grid based on the material properties and the boundary conditions in a preset FEA environment and CFD environment includes: 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 mesh in the FEA environment based on the boundary conditions; constructing a structural mechanics model of a computational fluid dynamics grid based on the mechanical properties; analyzing a communication coefficient between the CFD environment and the FEA environment; When the communication coefficient meets a preset communication threshold, a multi-physics field 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, wherein: The 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 quaternion 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; Integrating the four-element orthogonal model and the multi-physics field coupling model 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 a 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, wherein: The method of adjusting the construction parameters of the concrete to be regulated by using a preset adaptive control 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; Determining a target for the concrete to be regulated based on the deformation type; 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 construction module for determining the deformation control requirements of the concrete to be controlled, obtaining key parameter data corresponding to key parameters of the concrete to be controlled based on the deformation control requirements, wherein the key parameters include elastic modulus, Poisson's ratio, thermal expansion coefficient, and contraction coefficient, and constructing a four-element orthogonal model of the concrete to be controlled based on the key parameter data; a dynamic mesh construction module, configured to establish a geometric model of the concrete to be regulated, create a computational fluid dynamics mesh of the geometric model, and identify a mesh quality of a mesh corresponding to the computational fluid dynamics mesh; a dynamic grid definition module, configured to define material properties and boundary conditions of the computational fluid dynamics grid when the grid 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 using a preset sensing system, input the real-time concrete data into the integrated four-element orthogonal model, obtain deformation analysis results of the concrete to be adjusted, and based on the deformation analysis results, adjust the construction parameters of the concrete to be adjusted using a preset adaptive control system to obtain target concrete.

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