Temperature effect simulation method and system for ultrahigh building

Abstract

The invention discloses a temperature effect simulation method and system for a super high-rise building, and the method comprises the steps: building a three-dimensional structure model of the super high-rise building through a finite element method, and generating an initial model through preset building geometric parameters and material attributes; obtaining solar radiation data and the orientation of the building, calculating the illumination intensity of each unit on the surface of the building, and determining the unit distribution of the dark side and the sunny side of the building in combination with a preset solar radiation absorption coefficient; applying different thermal boundary conditions, and calculating temperature field distribution of the building structure under the thermal boundary conditions through a finite element solver; calculating stress and strain distribution of the concrete structure under the temperature effect on the basis of the temperature value of each unit in combination with a concrete shrinkage and creep model to obtain a temperature effect simulation analysis result; and combining the temperature effect analysis result with the structural mechanical model to generate a temperature effect evaluation report. The structure reliability and the service life of the super high-rise building are effectively improved.

Description

Technical Field

[0001] The present invention belongs to the field of building temperature simulation, and particularly relates to a temperature effect simulation method and system for super high-rise buildings. Background Art

[0002] The temperature effect simulation of super high-rise buildings faces many technical problems. First of all, the structure of super high-rise buildings is complex, with a large number of floors, and there are differences in the structural characteristics and thermal parameters of different floors. How to efficiently establish an overall finite element model is a major challenge. Secondly, the influence of factors such as solar radiation, air flow, and building decoration on the temperature field of the building structure is complex and variable. How to accurately identify the shaded and sunny surface units of the structure and apply reasonable thermal boundary conditions on them is the key to temperature field simulation. Moreover, the temperature effects of super high-rise buildings include multiple aspects such as overall temperature difference effect, local temperature difference effect, horizontal temperature difference effect, and vertical temperature difference effect. How to comprehensively analyze the influence of temperature effects on the building structure and consider the effects of factors such as concrete shrinkage and creep is the difficulty of temperature effect analysis. Finally, the temperature effects of super high-rise buildings are dynamic and time-varying. How to realize the real-time and automatic calculation of the temperature field for dynamic analysis of temperature effects is also a technical problem to be solved urgently. The existence of these technical problems makes the temperature effect simulation of super high-rise buildings a complex and challenging topic, which requires in-depth research and technical breakthroughs in multiple aspects such as finite element modeling, application of thermal boundary conditions, temperature field calculation, and temperature effect analysis. Summary of the Invention

[0003] To solve the above technical problems, the present invention provides a temperature effect simulation method and system for super high-rise buildings. Among them, a temperature effect simulation method for super high-rise buildings includes:

[0004] Establish a three-dimensional structural model of a super high-rise building by the finite element method, and generate an initial model including floor, wall, beam and column structural units through preset building geometric parameters and material properties;

[0005] According to the initial model, obtain solar radiation data and building orientation, calculate the illumination intensity of each unit on the building surface, and combine the preset solar radiation absorption coefficient to determine the unit distribution of the shaded and sunny surfaces of the building;

[0006] Apply different thermal boundary conditions to the shaded surface units and sunny surface units respectively. Among them, the sunny surface units use the solar radiation heat flux density as the thermal boundary condition, and the shaded surface units use the ambient temperature as the thermal boundary condition; through the finite element solver, calculate the temperature field distribution of the building structure under the thermal boundary conditions, obtain the temperature values of each unit, and generate a temperature field distribution map;

[0007] Based on the temperature values of the respective units, combined with the concrete shrinkage and creep models, calculate the stress and strain distributions of the concrete structure under temperature effects to obtain the simulation analysis results of temperature effects;

[0008] Combine the temperature effect analysis results with the structural mechanics model to evaluate the impact of temperature effects on the overall stability of the building structure and local components, and generate a temperature effect assessment report.

[0009] Preferably, the process of establishing a three-dimensional structural model of a super high-rise building by the finite element method and generating an initial model including floor, wall, beam and column structural units through preset building geometric parameters and material properties includes:

[0010] Determine the overall structural layout and dimensions of the super high-rise building according to the preset building geometric parameters and material properties;

[0011] Construct a three-dimensional building entity model including floor, wall and beam and column structural units through three-dimensional modeling software;

[0012] Import the three-dimensional building entity model into finite element analysis software, and define material properties, element types and mesh division parameters;

[0013] For floor units, set the floor slab thickness, material properties and load conditions, and perform mesh division;

[0014] For wall units, set the wall thickness, material properties and boundary conditions, and perform mesh division;

[0015] For beam and column units, set the cross-sectional dimensions, material properties and end restraint conditions, and perform mesh division;

[0016] Integrate the finite element models of floor, wall and beam and column structural units to obtain the complete three-dimensional structural initial model of the super high-rise building.

[0017] Preferably, according to the initial model, the process of obtaining solar radiation data and building orientation, calculating the light intensity of each unit on the building surface, and determining the unit distribution of the shaded and sunny sides of the building in combination with the preset solar radiation absorption coefficient includes:

[0018] According to the initial model, obtain solar radiation data and building orientation information, and calculate the solar radiation intensity received by each unit on the building surface;

[0019] Use the preset solar radiation absorption coefficient to calculate the radiation absorption situation of each unit to obtain the radiation absorption amount of the unit;

[0020] According to the radiation absorption amount of the unit, determine whether the unit belongs to the shaded side or the sunny side. If the radiation absorption amount is greater than the preset threshold, it is determined as a sunny side unit, otherwise it is determined as a shaded side unit;

[0021] Using the K-means clustering algorithm, cluster the shaded units and sunny units to obtain the shaded area and sunny area of the building surface;

[0022] Use the support vector machine algorithm to identify the boundaries of the shaded area and sunny area respectively, and obtain the boundary information of the shaded area and sunny area;

[0023] According to the boundary information, use the decision tree algorithm to judge the yin-yang attributes of each unit on the building surface, and obtain the yin-yang surface unit distribution map of the building surface.

[0024] Preferably, the process of applying different thermal boundary conditions to the shaded units and sunny units respectively includes:

[0025] Obtain the division information of the shaded units and sunny units, and determine the corresponding thermal boundary condition types according to the unit types;

[0026] For the sunny units, obtain the solar radiation intensity data at the current moment, and calculate the solar radiation heat flux density value as the thermal boundary condition of the sunny units;

[0027] For the shaded units, obtain the ambient temperature data at the current moment as the thermal boundary condition of the shaded units;

[0028] According to the thermal boundary condition types, apply the ambient temperature boundary to the shaded units and the radiation heat flux density boundary to the sunny units;

[0029] Adopt the finite element analysis method to calculate the transient temperature distributions of the shaded and sunny units;

[0030] If the set simulation end time has not been reached at the current moment, obtain the solar radiation and ambient temperature data at the next moment, otherwise, output the temperature distribution results of the shaded and sunny units during the entire simulation period;

[0031] Through the machine learning algorithm, train the yin-yang surface temperature distribution data at different moments to establish a prediction model between the solar radiation intensity, ambient temperature and yin-yang surface temperature.

[0032] Preferably, the process of calculating the temperature field distribution of the building structure under the thermal boundary conditions by using a finite element solver, obtaining the temperature values of each unit, and generating the temperature field distribution map includes:

[0033] According to the geometric model and material properties of the building structure, adopt the finite element method for discretization to obtain the finite element model;

[0034] According to the thermal boundary conditions, determine the boundary conditions and initial conditions of the finite element model;

[0035] Using a finite element solver, calculate the temperature field distribution of the finite element model under given boundary conditions and initial conditions;

[0036] Obtain the temperature values of each element through the solver to form a temperature value matrix;

[0037] According to the temperature value matrix, use an interpolation algorithm to interpolate the temperature field to obtain a continuous temperature field distribution;

[0038] According to the interpolated temperature field distribution, use a visualization algorithm to generate a temperature field distribution diagram;

[0039] Judge whether the temperature field distribution meets the design requirements. If not, adjust the thermal boundary conditions or material properties and recalculate until the requirements are met.

[0040] Preferably, using a finite element solver, calculating the temperature field distribution of the finite element model under given boundary conditions and initial conditions; the process of obtaining the temperature values of each element through the solver to form a temperature value matrix includes:

[0041] According to the given boundary conditions and initial conditions, establish a finite element model and import the finite element model into the finite element solver;

[0042] Use the finite element solver to solve the finite element model to obtain the temperature field distribution of the model under the current conditions;

[0043] Obtain the temperature values of each element in the model through the finite element solver and store the temperature values in an array;

[0044] According to the position information of the elements and the corresponding temperature values, construct a temperature value matrix, and the number of rows and columns of the matrix is consistent with the element division of the finite element model;

[0045] Perform interpolation calculation on the temperature value matrix to obtain the temperature field distribution of the entire region of the model and generate a temperature contour map;

[0046] According to the temperature field distribution, judge whether there are areas with too high or too low temperature in the model. If so, optimize and adjust the finite element model;

[0047] Re - perform the solution calculation according to the optimized finite element model until a temperature field distribution result that meets the requirements is obtained.

[0048] Preferably, based on the temperature values of each element, combined with the concrete shrinkage and creep models, the process of calculating the stress and strain distribution of the concrete structure under temperature effects to obtain the temperature effect simulation analysis result includes:

[0049] Obtain the temperature field data of the concrete structure, and calculate the performance parameters of the concrete material under the current temperature field according to the preset concrete shrinkage model and creep model;

[0050] Based on the material performance parameters, use the finite element analysis method to calculate the stress distribution and strain distribution of the concrete structure under the action of temperature effect;

[0051] Visualize the stress distribution and strain distribution data to generate an intuitive cloud map or vector map;

[0052] Conduct statistical analysis on the stress and strain data to determine whether it exceeds the allowable range of the concrete material. If it exceeds, send a warning message;

[0053] Identify the weak parts of the concrete structure according to the stress and strain distribution, and give corresponding reinforcement or maintenance suggestions.

[0054] Preferably, the process of using the finite element analysis method to calculate the strain distribution of the concrete structure under the action of temperature effect according to the material performance parameters includes:

[0055] Establish a numerical model of the structure using the finite element method according to the geometric model and boundary conditions of the concrete structure;

[0056] Obtain the mechanical property parameters of the concrete material and input them as the material properties of the finite element model; among them, the mechanical property parameters of the concrete material include elastic modulus, Poisson's ratio, and thermal expansion coefficient;

[0057] Determine the temperature load acting on the structure according to the environmental temperature conditions of the concrete structure;

[0058] Use finite element analysis software to apply temperature load to the established numerical model of the concrete structure and conduct non-linear transient temperature field analysis;

[0059] Obtain the temperature distribution of the concrete structure under the action of temperature effect through temperature field analysis;

[0060] According to the temperature distribution, use the thermal-structural coupling analysis method to calculate the strain response of the concrete structure under the action of temperature stress;

[0061] Post-process the calculated strain distribution results to obtain the strain cloud map of the concrete structure under the action of temperature effect.

[0062] Preferably, the process of combining the temperature effect analysis results with the structural mechanics model to evaluate the impact of temperature effect on the overall stability of the building structure and local components and generate a temperature effect evaluation report includes:

[0063] Establish a structural mechanics model based on the design parameters and material properties of the building structure, and simulate the stress and deformation conditions of the building under different temperature conditions;

[0064] Obtain the historical temperature data of the area where the building is located and the predicted future temperature change trend, and determine the temperature range and time span for temperature effect analysis;

[0065] Adopt the finite element analysis method, take temperature as the load condition, conduct temperature effect analysis on the structural mechanics model, and obtain the stress distribution and deformation conditions of the building structure at different temperatures;

[0066] According to the results of temperature effect analysis, judge whether the building structure meets the overall stability requirements under extreme temperature conditions, and determine the key parts and weak links;

[0067] For the key components identified in the temperature effect analysis, conduct local stress analysis and deformation analysis to evaluate the degree of influence of temperature on the component performance;

[0068] Establish an association model between temperature and building structure performance through support vector machine or decision tree to predict the influence trend of future temperature changes on building safety;

[0069] Generate a temperature effect assessment report by synthesizing the results of temperature effect analysis and component evaluation results.

[0070] The present invention also provides a temperature effect simulation system for super high-rise buildings, including:

[0071] An initial model generation module for establishing a three-dimensional structural model of a super high-rise building through the finite element method, and generating an initial model including floor, wall, beam and column structural units based on preset building geometric parameters and material properties;

[0072] A light intensity calculation module for obtaining solar radiation data and building orientation according to the initial model, calculating the light intensity of each unit on the building surface, and determining the unit distribution of the shaded and sunny sides of the building in combination with a preset solar radiation absorption coefficient;

[0073] A thermal boundary condition application module for applying different thermal boundary conditions to the shaded and sunny side units respectively, where the sunny side units use the solar radiation heat flux density as the thermal boundary condition, and the shaded side units use the ambient temperature as the thermal boundary condition;

[0074] A temperature field calculation module for calculating the temperature field distribution of the building structure under the thermal boundary conditions through a finite element solver, obtaining the temperature values of each unit, and generating a temperature field distribution map;

[0075] A material property calculation module, which is used to calculate the stress and strain distributions of a concrete structure under temperature effects based on the temperature values of the respective units and in combination with a concrete shrinkage and creep model, so as to obtain a simulation analysis result of temperature effects;

[0076] A temperature effect evaluation module, which is used to combine the temperature effect analysis result with a structural mechanics model to evaluate the influence of temperature effects on the overall stability of a building structure and local components, and generate a temperature effect evaluation report.

[0077] Compared with the prior art, the present invention has the following advantages and technical effects:

[0078] A temperature effect simulation method for a super high-rise building disclosed by the present invention establishes a three-dimensional structure model through finite elements, calculates the light intensity by combining solar radiation data and building orientation, and determines the distribution of sunny and shady sides. Heat boundary conditions are applied to different sides, and a finite element solver is used to calculate the temperature field distribution. The temperature field data is combined with a concrete shrinkage and creep model to analyze the stress and strain distributions under temperature effects. Finally, the temperature effect analysis result is integrated with a structural mechanics model to evaluate the influence on the overall stability of the building and local components. The present invention realizes the accurate simulation and comprehensive analysis of the temperature effects of super high-rise buildings, provides an important basis for structural design optimization and safety assessment, and effectively improves the structural reliability and service life of super high-rise buildings. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] The drawings constituting a part of this application are used to provide a further understanding of this application. The schematic embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation to this application. In the drawings:

[0080] Figure 1 is a schematic flow chart of the method according to an embodiment of the present invention;

[0081] Figure 2 is a schematic system structure diagram according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0082] It should be noted that, without conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The following will refer to the drawings and combine the embodiments to detail this application.

[0083] It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0084] Embodiment 1

[0085] As Figure 1As shown in the figure, in this embodiment, a method for simulating the temperature effect of a super high-rise building is provided, including the following steps:

[0086] Establish a three-dimensional structural model of the super high-rise building by the finite element method, and generate an initial model including floor, wall, beam and column structural units through preset building geometric parameters and material properties;

[0087] According to the initial model, obtain solar radiation data and building orientation, calculate the light intensity of each unit on the building surface, and determine the unit distribution of the shaded and sunny sides of the building in combination with the preset solar radiation absorption coefficient;

[0088] Apply different thermal boundary conditions to the shaded and sunny side units respectively. Among them, the sunny side units use the solar radiation heat flux density as the thermal boundary condition, and the shaded side units use the ambient temperature as the thermal boundary condition; through the finite element solver, calculate the temperature field distribution of the building structure under the thermal boundary conditions, obtain the temperature values of each unit, and generate a temperature field distribution map;

[0089] Based on the temperature values of each unit, combined with the concrete shrinkage and creep models, calculate the stress and strain distributions of the concrete structure under the temperature effect, and obtain the simulation analysis results of the temperature effect;

[0090] Combine the temperature effect analysis results with the structural mechanics model to evaluate the influence of the temperature effect on the overall stability of the building structure and local components, and generate a temperature effect evaluation report.

[0091] Furthermore, the process of establishing a three-dimensional structural model of the super high-rise building by the finite element method and generating an initial model including floor, wall, beam and column structural units through preset building geometric parameters and material properties includes:

[0092] Determine the overall structural layout and dimensions of the super high-rise building according to the preset building geometric parameters and material properties;

[0093] Construct a three-dimensional solid model of the building including floor, wall and beam and column structural units through three-dimensional modeling software;

[0094] Import the three-dimensional solid model of the building into the finite element analysis software, and define material properties, element types and mesh division parameters;

[0095] For floor units, set the floor thickness, material properties and load conditions, and perform mesh division;

[0096] For wall units, set the wall thickness, material properties and boundary conditions, and perform mesh division;

[0097] For beam and column units, set the cross-sectional dimensions, material properties and end restraint conditions, and perform mesh division;

[0098] A finite element model integrating floor, wall, and beam-column structural units is obtained to get the initial complete three-dimensional structure model of a super high-rise building.

[0099] Specifically, the structural design of a super high-rise building is a complex project that requires comprehensive consideration of various factors. First, geometric parameters such as the number of floors, floor height, and plane dimensions are determined according to the building function and scale. Material properties include the concrete strength grade, steel bar type, etc., and these parameters directly affect the structural performance. For example, for a 300-meter-high office building, C60 concrete and HRB400 steel bars may be used, with a floor height of 4 meters, and a core tube plus frame-shear wall structural system.

[0100] Three-dimensional modeling is an important part of structural design. In this embodiment, software such as Revit and Tekla can be used to accurately establish a building model including floors, walls, beams, and columns. Taking the core tube as an example, the wall thickness can be set to 600 mm, and coupling beams can be arranged. The outer frame columns can use a rectangular cross-section of 1000 mm × 1000 mm, and the main beam cross-section is 600 mm × 1000 mm. This detailed geometric model lays the foundation for subsequent analysis. After importing the three-dimensional model into finite element software such as ANSYS and MIDAS, the material constitutive relationship, element type, and mesh size are defined. For concrete members, solid elements are used, and the mesh size is about 0.5 m; steel bars can be simulated with line elements. The floor slab is usually simplified to a shell element with a thickness of 250 mm, considering 2.5 kN / m 2 dead load and 2 kN / m 2 live load. The wall can also use shell elements, and the thickness varies with height, reaching 1 m at the bottom. Beams and columns use beam elements, define the cross-section size and reinforcement ratio, and set rigid or hinged end constraints.

[0101] Mesh division is the key to ensuring calculation accuracy. For complex node areas such as beam-column joints, the mesh should be appropriately refined. The areas with openings in the wall also need to have refined meshes to accurately simulate stress concentration. By reasonably setting the mesh parameters, a balance can be achieved between ensuring accuracy and calculation efficiency. The finally formed three-dimensional finite element model contains hundreds of thousands of nodes and elements, comprehensively reflecting the structural characteristics of the super high-rise building. This model can be used for static analysis, dynamic analysis, wind vibration analysis, etc., providing a basis for structural design optimization and seismic performance evaluation. For example, through modal analysis, the natural vibration period and vibration mode of the building can be obtained, and based on this, the dynamic characteristics of the structure can be evaluated; wind load analysis can determine the lateral deformation of the structure, providing a reference for curtain wall design. This systematic modeling and analysis method enables engineers to comprehensively evaluate the structural performance of super high-rise buildings before construction, effectively improving the design quality and building safety. By repeatedly optimizing the model parameters, the best solution that meets the requirements of strength, stiffness, and comfort can be found, realizing the scientific and refined structural design.

[0102] Further, according to the initial model, obtaining solar radiation data and building orientation, calculating the light intensity of each unit on the building surface, and determining the unit distribution of the shaded and sunny sides of the building in combination with the preset solar radiation absorption coefficient includes the following steps:

[0103] According to the initial model, obtain solar radiation data and building orientation information, and calculate the solar radiation intensity received by each unit on the building surface;

[0104] Using the preset solar radiation absorption coefficient, calculate the radiation absorption situation of each unit to obtain the radiation absorption amount of the unit;

[0105] According to the radiation absorption amount of the unit, determine whether the unit belongs to the shaded side or the sunny side. If the radiation absorption amount is greater than the preset threshold, it is determined as a sunny side unit; otherwise, it is determined as a shaded side unit;

[0106] Using the K-means clustering algorithm, cluster the shaded side units and sunny side units to obtain the shaded side area and sunny side area on the building surface;

[0107] Respectively use the support vector machine algorithm for the shaded side area and sunny side area to identify the boundaries of the areas, and obtain the boundary information of the shaded side area and sunny side area;

[0108] According to the boundary information, use the decision tree algorithm to judge the yin-yang attributes of each unit on the building surface, and obtain the yin-yang side unit distribution map of the building surface.

[0109] Specifically, the acquisition of solar radiation data in this embodiment depends on meteorological stations or satellite observations. For example, a super high-rise building is located at 30 degrees north latitude and 120 degrees east longitude, and the solar radiation intensity at noon in summer can reach 1000 W / m 2 .

[0110] The building orientation information is obtained through building design drawings or on-site measurements. For example, the main facade of this building faces 15 degrees east of south.

[0111] When calculating the solar radiation intensity for each unit on the building surface, consider the spatial position, orientation angle of the unit, and the influence of surrounding obstacles. Taking a window unit on the 20th floor of the south facade of the building as an example, the solar radiation intensity it receives may be 800 W / m 2 .

[0112] The preset solar radiation absorption coefficient is closely related to building materials. The absorption coefficient of a glass curtain wall is about 0.7, while the absorption coefficient of a concrete exterior wall can reach 0.9. Assuming that the absorption coefficient of the above window unit is 0.7, its radiation absorption amount is 560 W / m 2 . The threshold setting for yin-yang side judgment needs to balance the overall energy consumption of the building and indoor comfort. If the threshold is set to 400 W / m 2, then the above window unit is determined as a sunny-side unit.

[0113] By making similar judgments on all surface units, the sunny and shady distributions of the building surface can be obtained. The application of the K-means clustering algorithm in the clustering of sunny and shady units can improve the efficiency of subsequent analysis. Suppose the building surface is divided into 100 grids, and the sunny and shady attributes of each grid are used as clustering features. Eventually, 3 - 5 sunny areas and 2 - 3 shady areas may be obtained.

[0114] This embodiment can also identify the boundaries of sunny and shady areas through the support vector machine algorithm and handle complex non-linear boundaries. For example, an irregular sunny-shady junction area may be formed at the southwest corner of the building due to the change of sunlight angle, and the support vector machine can accurately depict this boundary. When the decision tree algorithm determines the sunny and shady attributes of a unit, it can comprehensively consider multiple factors such as the spatial position of the unit and the attributes of surrounding units. For example, although the radiation absorption of a certain unit is low, most of the surrounding units are sunny-side units, and the decision tree may determine it as a sunny-side unit to maintain the regional continuity.

[0115] The technical effects of this series of analyses are reflected in: First, the accurate sunny and shady distribution map helps to optimize the building facade design, such as adding sunshade facilities in sunny areas and improving lighting in shady areas. Second, these data provide important bases for building energy consumption analysis and indoor comfort evaluation, which is beneficial to improving the energy-saving performance and usage experience of the building. Finally, through the application of machine learning algorithms, the accuracy and efficiency of the analysis are improved, laying a foundation for the rapid analysis of large-scale building complexes.

[0116] Furthermore, the process of applying different thermal boundary conditions to shady and sunny units respectively includes:

[0117] Obtain the division information of shady and sunny units, and determine the corresponding thermal boundary condition types according to the unit types;

[0118] For sunny units, obtain the solar radiation intensity data at the current moment, calculate the solar radiation heat flux density value, and use it as the thermal boundary condition for sunny units;

[0119] For shady units, obtain the ambient temperature data at the current moment and use it as the thermal boundary condition for shady units;

[0120] According to the thermal boundary condition types, apply the ambient temperature boundary to shady units and the radiation heat flux density boundary to sunny units;

[0121] Adopt the finite element analysis method to calculate the transient temperature distributions of shady and sunny units;

[0122] If the current time has not reached the set simulation end time, obtain the solar radiation and ambient temperature data for the next time step; otherwise, output the temperature distribution results of the shaded and sunny side units over the entire simulation period.

[0123] Through machine learning algorithms, train the temperature distribution data of the shaded and sunny sides at different times to establish a prediction model between solar radiation intensity, ambient temperature, and the temperature of the shaded and sunny sides.

[0124] Specifically, determining the thermal boundary conditions of the shaded and sunny side units on the building surface is a key step in building thermal environment analysis. The sunny side units are directly exposed to solar radiation, and their thermal boundary conditions are mainly determined by the solar radiation heat flux density. For example, at noon in summer, the south facade of a south-facing building may receive solar radiation of up to 800 W / m 2 . Such intense radiation will cause a significant increase in the wall temperature, possibly reaching above 50 °C. In contrast, the shaded side units are mainly affected by the ambient temperature. At the same moment, the north facade may only have a surface temperature of about 30 °C. The way of applying the thermal boundary conditions directly affects the accuracy of the simulation results. For the sunny side units, the radiation heat flux density boundary condition can simulate the heating effect of solar radiation on the building surface. This boundary condition takes into account complex processes such as radiation absorption, reflection, and scattering. For the shaded side units, the ambient temperature boundary condition simulates the heat exchange between the air and the building surface. This method can accurately reflect the thermal response characteristics of the building at different orientations and times.

[0125] Finite element analysis can accurately calculate the temperature change of each unit by dividing the building surface into a large number of small units. For example, a 1m×1m wall surface may be divided into 10,000 1cm×1cm small units. The temperature of each unit is calculated independently, so that local temperature gradients and heat flux distributions can be captured. The choice of time step has an important impact on the simulation results. Usually, choosing a time step of 15 minutes or 30 minutes can better balance calculation accuracy and efficiency. In a 24-hour simulation of a day, 48 to 96 iterative calculations may be required. Each iteration updates the solar radiation intensity and ambient temperature data, thus reflecting the impact of diurnal temperature changes on the building thermal environment.

[0126] The random forest algorithm is used to consider multiple influencing factors simultaneously, such as the solar altitude angle, air humidity, wind speed, etc., so as to improve the prediction accuracy. Once this prediction model is established, it can quickly estimate the building surface temperature distribution under different meteorological conditions, providing an important reference for building energy-saving design and thermal comfort evaluation. The entire analysis process forms a closed loop: from the initial division of the sunny and shady sides, to the determination of the thermal boundary conditions, then to the temperature calculation by finite element analysis, and finally to the training and prediction of the machine learning model. This method can not only accurately simulate the thermal environment of the building, but also provide a powerful decision-making support tool for future building design. Through this analysis, architects and engineers can optimize the building orientation, select appropriate exterior wall materials, and even adjust the window size and position to achieve the best energy efficiency and indoor comfort.

[0127] Furthermore, the process of calculating the temperature field distribution of the building structure under thermal boundary conditions by a finite element solver, obtaining the temperature values of each element, and generating a temperature field distribution map includes:

[0128] According to the geometric model and material properties of the building structure, discretization is performed using the finite element method to obtain a finite element model;

[0129] According to the thermal boundary conditions, determine the boundary conditions and initial conditions of the finite element model;

[0130] Use a finite element solver to calculate the temperature field distribution of the finite element model under the given boundary conditions and initial conditions;

[0131] Obtain the temperature values of each element through the solver to form a temperature value matrix;

[0132] According to the temperature value matrix, interpolate the temperature field using an interpolation algorithm to obtain a continuous temperature field distribution;

[0133] According to the interpolated temperature field distribution, generate a temperature field distribution map using a visualization algorithm;

[0134] Judge whether the temperature field distribution meets the design requirements. If not, adjust the thermal boundary conditions or material properties and recalculate until the requirements are met.

[0135] Specifically, establishing the geometric model of a building includes structures such as walls, roofs, and windows. For example, for a two-story building, it can be simplified into several cubes and planes, with each part having its specific dimensions and material properties. Material properties include thermal conductivity, specific heat capacity, and density, etc., and these parameters directly affect the heat conduction process. Next, the finite element method is used to discretize the model. This step divides the continuous structure into a finite number of small elements, and each element has nodes and interpolation functions. For example, a wall can be divided into 1000 hexahedral elements, with each element having a side length of 10 cm. This division method enables a more accurate simulation of the heat conduction process.

[0136] Determining the boundary conditions and initial conditions is the next key step. Boundary conditions may include outdoor temperature, solar radiation intensity, etc. For example, the outdoor temperature on a certain day in summer can be set to 35°C, and the solar radiation intensity is 800 W / m 2 . The initial condition may be the initial temperature distribution inside the building, such as a uniform 25°C. These conditions provide the necessary constraints for solving the heat conduction equation. With the model and boundary conditions, a finite element solver can be used to calculate the temperature field distribution. The solver solves large-scale linear equations through iterative calculations and finally obtains the temperature values of each node. This process may take from a few minutes to several hours, depending on the complexity of the model and the performance of the computer.

[0137] After obtaining the temperature value matrix, interpolation processing is carried out. The purpose of interpolation is to convert the discrete node temperature values into a continuous temperature field distribution. The interpolation methods in this embodiment include linear interpolation and spline interpolation. For example, bilinear interpolation is used for the wall surface to obtain the temperature value at any point.

[0138] The visualization of the temperature field uses isotherm diagrams or heat maps to intuitively display the temperature distribution. For example, red is used to represent high-temperature regions (such as above 35°C), and blue is used to represent low-temperature regions (such as below 20°C). This visualization method can help designers quickly identify areas with heat bridges or insufficient insulation.

[0139] Finally, evaluate whether the temperature field distribution meets the design requirements. For example, it may be required that the indoor temperature does not exceed 28°C, or there are no dew points inside the wall. If the requirements are not met, the design needs to be adjusted. This may involve changing materials (such as using better insulation materials), or modifying the geometric structure (such as adding sunshade facilities). Then, the entire analysis process needs to be carried out again until satisfactory results are obtained. This entire process can not only help optimize the thermal performance of the building, but also improve energy efficiency and indoor comfort. Through precise thermal analysis, potential thermal problems can be predicted and solved at the design stage, thus reducing the cost and difficulty of later renovations.

[0140] Further, a finite element solver is used to calculate the temperature field distribution of the finite element model under given boundary conditions and initial conditions; the process of obtaining the temperature values of each element through the solver and forming a temperature value matrix includes:

[0141] According to the given boundary conditions and initial conditions, a finite element model is established and imported into the finite element solver;

[0142] The finite element solver is used to solve the finite element model to obtain the temperature field distribution of the model under the current conditions;

[0143] The temperature values of each element in the model are obtained through the finite element solver and stored in an array;

[0144] According to the position information of the elements and the corresponding temperature values, a temperature value matrix is constructed, and the number of rows and columns of the matrix is consistent with the element division of the finite element model;

[0145] Interpolation calculation is performed on the temperature value matrix to obtain the temperature field distribution of the entire region of the model and generate a temperature cloud map;

[0146] According to the temperature field distribution, it is judged whether there are regions with too high or too low temperatures in the model. If so, the finite element model is optimized and adjusted;

[0147] The solution calculation is performed again according to the optimized finite element model until the temperature field distribution result that meets the requirements is obtained.

[0148] Specifically, in this embodiment, the building is divided into thousands of tetrahedral or hexahedral elements through the finite element model. Each element has its specific material properties, such as thermal conductivity and specific heat capacity. For example, a multi-story office building may include concrete walls, glass windows, and steel structures, and each material has different thermal characteristics.

[0149] Boundary conditions include the temperature change of the building exterior wall, the set temperature of the indoor air conditioner, etc.

[0150] The initial condition is the temperature distribution of the entire building at the beginning of the analysis. For example, it can be assumed that at noon in summer, the temperature of the building exterior wall is 35 °C and the initial indoor temperature is 25 °C. After importing the model into the finite element solver, the solver will calculate each element using the heat conduction equation. This process involves large-scale matrix operations and is processed using a high-performance computer. The solution result will give the temperature values of each node, forming a huge data set.

[0151] The construction of the temperature value matrix is a crucial step in transforming discrete nodal temperature data into a continuous distribution. For a three-dimensional building model, a four-dimensional matrix of the form [x, y, z, T] may be obtained, where x, y, and z represent spatial coordinates and T represents the temperature at that point. Interpolation calculations can estimate temperature values at any position between grid nodes, thereby generating a more detailed temperature contour map.

[0152] When analyzing the temperature field distribution, it is also necessary to pay attention to whether there are areas with abnormal temperatures. For example, if it is found that the temperature in certain areas is significantly higher than the surrounding environment, it may mean that there is a heat bridge phenomenon or insufficient insulation performance. At this time, the model needs to be optimized. Possible measures include adding insulation materials, changing the material type, or adjusting the structural design. The optimized model needs to be recalculated, which is an iterative process. After each adjustment, a new temperature field distribution result will be obtained. By comparing the results of different schemes, the optimal building thermal performance design scheme can be found. This process can not only improve the comfort of the building but also optimize energy use and reduce the operating cost of the building. Through this detailed thermal analysis process, the thermal performance of the building can be predicted and optimized at the building design stage, providing an important basis for the subsequent design of the HVAC system and ultimately achieving the energy conservation and environmental protection goals of the building.

[0153] Furthermore, based on the temperature values of each unit, combined with the concrete shrinkage and creep models, the process of calculating the stress and strain distributions of the concrete structure under temperature effects and obtaining the simulation analysis results of temperature effects includes:

[0154] Obtain the temperature field data of the concrete structure, and calculate the performance parameters of the concrete material under the current temperature field according to the preset concrete shrinkage model and creep model;

[0155] Based on the material performance parameters, use the finite element analysis method to calculate the stress distribution and strain distribution of the concrete structure under the action of temperature effects;

[0156] Visualize the stress distribution and strain distribution data to generate intuitive contour maps or vector diagrams;

[0157] Conduct statistical analysis on the stress and strain data to determine whether it exceeds the allowable range of the concrete material. If it exceeds, a warning message will be issued;

[0158] Identify the weak parts of the concrete structure according to the stress and strain distribution conditions, and give corresponding reinforcement or maintenance suggestions.

[0159] Specifically, the temperature field data of the concrete structure includes the temperature distribution of each part of the structure. The data in this embodiment comes from actual measurement or simulation calculation. For example, the temperature field data of a large bridge may show that the surface temperature reaches 40°C under direct sunlight, while the internal temperature remains around 25°C. This temperature gradient will cause changes in material properties and the generation of thermal stress.

[0160] The shrinkage and creep of concrete are important factors affecting its long-term performance. The shrinkage model takes into account factors such as drying shrinkage and autogenous shrinkage, while the creep model describes the deformation characteristics of concrete under sustained load. Taking a prestressed concrete beam as an example, when the ambient temperature rises from 20°C to 35°C, its shrinkage rate may increase from the original 300 microstrains to 350 microstrains, and the creep coefficient may also increase from 1.8 to 2.0. These changes will directly affect the stress state and deformation of the structure.

[0161] Based on the updated material property parameters, the finite element analysis method is used to calculate the stress and strain distribution of the concrete structure under the temperature effect. Taking an arch bridge as an example, when the deck temperature rises while the arch ring temperature is relatively low, it may cause additional compressive stress at the top of the arch ring, while tensile stress may occur at the arch feet. The specific values may show that the compressive stress at the arch top increases by 2 MPa, while a tensile stress of 0.5 MPa is generated at the arch feet.

[0162] Visualizing the calculation results is an effective way to intuitively understand the stress and strain distribution. For example, generating a temperature stress nephogram for the exterior wall of a high-rise building shows the stress concentration areas caused by uneven sunlight. This visualization may reveal that the stress level on the south exterior wall of the building is 20% higher than that on the north, providing important references for structural design and maintenance.

[0163] Statistical analysis and early warning mechanisms are crucial steps to ensure structural safety. Assuming the compressive strength of concrete is 30 MPa and the tensile strength is 2.5 MPa, when the calculated maximum compressive stress reaches 25 MPa or the maximum tensile stress exceeds 2 MPa, the system will send out a warning message to alert engineers to potential structural risks. Identifying weak structural parts and providing reinforcement suggestions are the ultimate goals of the analysis. For example, for a dam, temperature stress analysis may show that there is a large tensile stress at the dam heel, exceeding the tensile strength of the concrete. In response to this situation, it can be recommended to increase the steel reinforcement ratio in this area or adopt temperature control measures such as burying cooling water pipes to reduce the hydration heat during concrete pouring, thereby reducing the generation of temperature stress. Through this series of analyses and treatments, engineers can comprehensively evaluate the impact of temperature effects on concrete structures, timely detect potential problems, and take corresponding preventive and reinforcement measures to ensure the long-term safety and durability of the structure. This method is not only applicable to the design stage of new structures but also can be used for the health monitoring and maintenance management of existing structures, providing strong guarantees for the safety of the entire life cycle of the structure.

[0164] Furthermore, according to the material property parameters, the process of calculating the strain distribution of a concrete structure under the action of temperature effects using the finite element analysis method includes:

[0165] Establish a numerical model of the structure using the finite element method based on the geometric model and boundary conditions of the concrete structure;

[0166] Obtain the mechanical property parameters of the concrete material and input them as the material properties of the finite element model; among them, the mechanical property parameters of the concrete material include elastic modulus, Poisson's ratio, and coefficient of thermal expansion;

[0167] Determine the temperature load acting on the structure according to the environmental temperature conditions of the concrete structure;

[0168] Apply the temperature load to the established numerical model of the concrete structure using finite element analysis software and conduct a non-linear transient temperature field analysis;

[0169] Obtain the temperature distribution of the concrete structure under the action of temperature effects through temperature field analysis;

[0170] According to the temperature distribution, use the thermal-structural coupling analysis method to calculate the strain response of the concrete structure under the action of temperature stress;

[0171] Post-process the calculated strain distribution results to obtain the strain nephogram of the concrete structure under the action of temperature effects.

[0172] Specifically, first, when establishing the geometric model, the actual size and shape of the structure need to be considered. For example, a dam may be 100 meters high and 300 meters long, and an accurate model needs to be built to reflect its complexity.

[0173] Boundary conditions include the contact surface between the structure and the foundation, water pressure distribution, etc., all of which will affect the transfer of temperature stress.

[0174] In terms of material properties, the elastic modulus of ordinary concrete is about 30 GPa, and the Poisson's ratio is between 0.15 and 0.2. These parameters vary with the concrete strength grade and mix ratio, and appropriate values need to be selected according to the actual project. The determination of temperature load is crucial. Taking a dam as an example, the surface temperature of the reservoir in summer can reach 30 °C, while the inside of the dam may remain at about 15 °C. This temperature gradient will cause significant thermal stress. In winter, the situation may be opposite, with the external temperature dropping below zero, while the inside still maintains a relatively high temperature, resulting in different stress states. The nonlinear transient temperature field analysis takes into account the characteristic that the thermal conductivity of concrete changes with temperature. For example, when the concrete temperature rises from 20 °C to 80 °C, its thermal conductivity may drop from 1.5 W / (m·K) to 1.0 W / (m·K). This nonlinear characteristic will affect the heat transfer rate in the structure.

[0175] The thermal-structural coupling analysis method is used to link the temperature field and the stress field. When the surface temperature of the concrete rises by 10 °C, it may cause an expansion of about 0.1 mm / m. If this expansion is restricted, compressive stress will be generated. On the contrary, temperature reduction will cause shrinkage, which may lead to tensile stress and increase the risk of cracking. The post-processing visualization of the strain contour plot is crucial for identifying the weak links of the structure. For example, near the heel and the top of the dam, due to the differences in geometric shape and constraint conditions, strain concentration often occurs. It can be intuitively found through the contour plot that the strain values in these areas may reach 100 με or even higher, far exceeding other parts. This information provides a basis for engineers to strengthen the design or take preventive measures, such as increasing the steel reinforcement ratio or adopting temperature control measures. Through this systematic analysis method, engineers can comprehensively evaluate the performance of concrete structures under complex temperature environments, predict possible problems, and take corresponding design and construction measures to ensure the long-term safety and durability of the structure. This not only improves the project quality but also provides a scientific basis for subsequent maintenance and management.

[0176] Furthermore, the process of combining the analysis results of temperature effects with the structural mechanics model to evaluate the influence of temperature effects on the overall stability of the building structure and local components and generating a temperature effect evaluation report includes:

[0177] According to the design parameters and material properties of the building structure, establish a structural mechanics model to simulate the stress and deformation conditions of the building under different temperature conditions;

[0178] Obtain the historical temperature data of the area where the building is located and the predicted future temperature change trend to determine the temperature range and time span for temperature effect analysis;

[0179] Using the finite element analysis method, with temperature as the load condition, conduct a temperature effect analysis on the structural mechanics model to obtain the stress distribution and deformation of the building structure at different temperatures;

[0180] According to the results of the temperature effect analysis, judge whether the building structure meets the overall stability requirements under extreme temperature conditions, and determine the key parts and weak links;

[0181] For the key components identified in the temperature effect analysis, conduct local stress analysis and deformation analysis to evaluate the influence degree of temperature on the component performance;

[0182] Establish an association model between temperature and building structure performance through support vector machines or decision trees to predict the influence trend of future temperature changes on building safety;

[0183] Integrate the results of the temperature effect analysis and component evaluation results to generate a temperature effect evaluation report.

[0184] Specifically, establishing a structural mechanics model is the basis of temperature effect analysis. Taking a multi-story reinforced concrete frame structure as an example, the geometric dimensions, material properties, and load conditions of the building need to be considered. The model includes main components such as beams, columns, and floors, and parameters such as the elastic modulus, Poisson's ratio, and thermal expansion coefficient of concrete are defined. These parameters change with temperature. For example, the elastic modulus of concrete will decrease at high temperatures. Obtaining temperature data is crucial for accurately simulating the stress of the building.

[0185] Taking a certain coastal city as an example, obtain the temperature records of the past 30 years through the meteorological department and find that the extreme maximum temperature is 40°C and the minimum temperature is -10°C. Combining with the climate change prediction model, it is predicted that the extreme temperature may reach 45°C and -15°C within the next 50 years. Based on this, the temperature effect analysis range is determined to be from -20°C to 50°C, and the time span is 50 years.

[0186] Divide the building model into a large number of elements through finite element analysis, and assign corresponding material properties and temperature loads to each element. During the analysis, consider the situation where the temperature gradually rises from -20°C to 50°C. The results show that when the temperature rises, the building as a whole shows an expansion trend, and large deformations occur in the roof and exterior walls. Stress concentration mainly appears at the beam-column joints and around the openings.

[0187] The assessment of structural stability under extreme temperatures is also crucial. The analysis results show that at a high temperature of 50°C, the central deflection of the top floor slab reaches 20 mm, approaching the code limit. Obvious thermal expansion and contraction phenomena occur on the exterior walls, with the maximum displacement reaching 15 mm. Although the overall structure can still remain stable, the durability of the roof waterproof layer and the joints of the exterior walls needs to be focused on. The local analysis of key components can be used to deeply evaluate the temperature effects. Taking the exterior wall as an example, the increase in temperature causes the wall to expand outward, resulting in stress concentration around the windows. When the temperature reaches 45°C, the concrete stress around the windows is close to 2 MPa. Although it does not exceed the strength limit, the long-term repeated action may lead to the generation and expansion of microcracks.

[0188] This embodiment uses the support vector machine algorithm to predict the impact of future temperature changes on the building. Using historical temperature data and the corresponding structural responses as the training set, a correlation model between temperature and key performance indicators (such as maximum stress and deformation) is established. The model prediction shows that if the frequency of extreme high temperatures increases, the risk of cracks in the exterior walls will increase by 30% within the next 20 years. Based on the comprehensive analysis results, the temperature effect assessment report should focus on the following aspects: It is recommended to add a heat insulation layer on the roof to reduce heat transfer; use elastic materials at the joints of the exterior walls to adapt to the deformation caused by temperature; strengthen the reinforcement design of the concrete around the windows to improve the crack resistance; and formulate a targeted structural monitoring plan to focus on monitoring the deformation and crack development of temperature-sensitive parts. Through these measures, the adaptability and durability of the building under different temperature conditions can be effectively improved.

[0189] Embodiment 2

[0190] As Figure 2 shown, based on the same inventive concept, this embodiment also provides a temperature effect simulation system for super high-rise buildings, including:

[0191] An initial model generation module, which is used to establish a three-dimensional structural model of a super high-rise building by the finite element method, and generate an initial model including floor, wall, beam and column structural units through preset building geometric parameters and material properties;

[0192] A light intensity calculation module, which is used to obtain solar radiation data and building orientation according to the initial model, calculate the light intensity of each unit on the building surface, and determine the unit distribution of the shaded and sunny sides of the building in combination with the preset solar radiation absorption coefficient;

[0193] A thermal boundary condition application module, which is used to apply different thermal boundary conditions to the shaded and sunny side units respectively. Among them, the solar radiation heat flux density is used as the thermal boundary condition for the sunny side units, and the ambient temperature is used as the thermal boundary condition for the shaded side units;

[0194] A temperature field calculation module, which is used to calculate the temperature field distribution of a building structure under thermal boundary conditions through a finite element solver, obtain the temperature values of each element, and generate a temperature field distribution map;

[0195] A material property calculation module, which is used to calculate the stress and strain distributions of a concrete structure under temperature effects based on the temperature values of each element and in combination with a concrete shrinkage and creep model, and obtain a simulation analysis result of temperature effects;

[0196] A temperature effect evaluation module, which is used to combine the temperature effect analysis result with a structural mechanics model to evaluate the influence of temperature effects on the overall stability of a building structure and local components, and generate a temperature effect evaluation report.

[0197] The temperature effect simulation system for super high-rise buildings provided in this embodiment has all the advantages of the temperature effect simulation method for super high-rise buildings provided in Embodiment 1.

[0198] Embodiment 3

[0199] This embodiment also discloses a computer device, which includes a memory, a processor, and a computer program stored on the memory. The processor executes the computer program to implement the steps of the method described in Embodiment 1.

[0200] Embodiment 4

[0201] This embodiment also discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the steps of the method described in Embodiment 1.

[0202] Embodiment 5

[0203] This embodiment also discloses a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the method described in Embodiment 1.

[0204] The above are only the preferred specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed in the present application should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for simulating temperature effects of super-high buildings, characterized in that: include: The 3D structural model of the super high-rise building is established by the finite element method. The initial model including the floor, wall, beam and column structural units is generated by the preset building geometric parameters and material properties. According to the initial model, solar radiation data and building orientation are obtained, the light intensity of each unit on the building surface is calculated, and the unit distribution on the shady and sunny sides of the building is determined in combination with a preset solar radiation absorption coefficient; Different thermal boundary conditions are applied to the shaded side units and the sun-side units, wherein the sun-side units use the solar radiation heat flux density as the thermal boundary condition, and the shaded side units use the ambient temperature as the thermal boundary condition; the temperature field distribution of the building structure under the thermal boundary conditions is calculated by the finite element solver, the temperature value of each unit is obtained, and a temperature field distribution diagram is generated; Based on the temperature values ​​of each unit, combined with the concrete shrinkage and creep model, the stress and strain distribution of the concrete structure under the temperature effect is calculated to obtain the temperature effect simulation analysis result; The temperature effect analysis results are combined with the structural mechanics model to evaluate the impact of the temperature effect on the overall stability of the building structure and local components, and generate a temperature effect evaluation report.

2. The method according to claim 1, characterized in that The 3D structural model of a super high-rise building is established by the finite element method. The process of generating an initial model including floor, wall, beam and column structural units by using preset building geometric parameters and material properties includes: Determine the overall structural layout and dimensions of the super high-rise building based on the preset building geometry parameters and material properties; Use 3D modeling software to construct a 3D solid model of the building including floors, walls, and beam-column structural units; Importing the three-dimensional building model into finite element analysis software to define material properties, unit types and meshing parameters; For floor units, set the floor thickness, material properties and load conditions, and perform meshing; For wall units, set wall thickness, material properties and boundary conditions, and perform meshing; For beam-column elements, set the section size, material properties and end constraints, and perform meshing; The finite element models of floors, walls, and beam-column structural units are integrated to obtain a complete three-dimensional structural initial model of the super high-rise building.

3. The method according to claim 1, characterized in that The process of obtaining solar radiation data and building orientation according to the initial model, calculating the illumination intensity of each unit on the building surface, and determining the unit distribution on the shady side and the sunny side of the building in combination with the preset solar radiation absorption coefficient includes: According to the initial model, solar radiation data and building orientation information are obtained, and the solar radiation intensity received by each unit on the building surface is calculated; The radiation absorption of each unit is calculated using the preset solar radiation absorption coefficient to obtain the radiation absorption amount of the unit; According to the radiation absorption amount of the unit, determine whether the unit belongs to the shade side or the sun side, if the radiation absorption amount is greater than a preset threshold, determine it as a sun side unit, otherwise determine it as a shade side unit; Using a K-means clustering algorithm, clustering the shaded side units and the sun-side units to obtain the shaded side area and the sun-side area of ​​the building surface; Using a support vector machine algorithm to identify the boundaries of the shady area and the sunny area, respectively, to obtain boundary information of the shady area and the sunny area; According to the boundary information, a decision tree algorithm is used to determine the yin and yang attributes of each unit on the building surface, and a distribution map of yin and yang surface units on the building surface is obtained.

4. The method according to claim 1, characterized in that: The process of applying different thermal boundary conditions to the sun-side elements and the sun-side elements respectively includes: Obtain the division information of the negative side unit and the positive side unit, and determine the corresponding thermal boundary condition type according to the unit type; For the positive side unit, the solar radiation intensity data at the current moment is obtained, and the solar radiation heat flux density value is calculated as the thermal boundary condition of the positive side unit; For the shade unit, the ambient temperature data at the current moment is obtained as the thermal boundary condition of the shade unit; According to the thermal boundary condition type, the ambient temperature boundary is applied to the negative side unit, and the radiation heat flux density boundary is applied to the positive side unit; The transient temperature distribution of the shady and sunny side units is calculated by finite element analysis method; If the current moment has not reached the set simulation end time, the solar radiation and ambient temperature data of the next moment are obtained; otherwise, the temperature distribution results of the shaded and sunny units during the entire simulation period are output; Through machine learning algorithms, the temperature distribution data of the yin and yang surfaces at different times are trained to establish a prediction model between solar radiation intensity, ambient temperature and the yin and yang surface temperature.

5. The method according to claim 1, characterized in that The process of calculating the temperature field distribution of the building structure under the thermal boundary conditions by using a finite element solver, obtaining the temperature value of each unit, and generating a temperature field distribution diagram includes: According to the geometric model and material properties of the building structure, the finite element method is used for discretization to obtain a finite element model; Determining boundary conditions and initial conditions of the finite element model according to the thermal boundary conditions; The finite element solver is used to calculate the temperature field distribution of the finite element model under given boundary conditions and initial conditions; The temperature value of each unit is obtained through the solver to form a temperature value matrix; According to the temperature value matrix, the temperature field is interpolated using an interpolation algorithm to obtain a continuous temperature field distribution; According to the interpolated temperature field distribution, a visualization algorithm is used to generate a temperature field distribution map; Determine whether the temperature field distribution meets the design requirements. If not, adjust the thermal boundary conditions or material properties and recalculate until the requirements are met.

6. The method according to claim 5, characterized in that The finite element solver is used to calculate the temperature field distribution of the finite element model under given boundary conditions and initial conditions; The process of obtaining the temperature value of each unit through the solver and forming a temperature value matrix includes: According to given boundary conditions and initial conditions, a finite element model is established, and the finite element model is imported into a finite element solver; The finite element solver is used to solve the finite element model to obtain the temperature field distribution of the model under the current conditions; Obtaining the temperature value of each unit in the model through the finite element solver, and storing the temperature value in an array; According to the unit position information and the corresponding temperature value, a temperature value matrix is ​​constructed, and the number of rows and columns of the matrix is ​​consistent with the unit division of the finite element model; Performing interpolation calculation on the temperature value matrix to obtain the temperature field distribution of the entire model area and generate a temperature cloud map; According to the temperature field distribution, determine whether there are areas with too high or too low temperature in the model. If so, optimize and adjust the finite element model; The solution and calculation are performed again according to the optimized finite element model until the temperature field distribution result that meets the requirements is obtained.

7. The method according to claim 1, characterized in that Based on the temperature values ​​of each unit, combined with the concrete shrinkage and creep model, the stress and strain distribution of the concrete structure under the temperature effect is calculated, and the process of obtaining the temperature effect simulation analysis results includes: Obtain the temperature field data of the concrete structure, and calculate the performance parameters of the concrete material under the current temperature field according to the preset concrete shrinkage model and creep model; Based on the material performance parameters, the finite element analysis method is used to calculate the stress distribution and strain distribution of the concrete structure under the temperature effect; Visualizing the stress distribution and strain distribution data to generate intuitive cloud maps or vector maps; Statistical analysis is performed on stress and strain data to determine whether they exceed the allowable range of concrete materials. If so, an early warning message is issued; According to the distribution of stress and strain, the weak parts of the concrete structure are identified and corresponding reinforcement or maintenance suggestions are given.

8. The method according to claim 7, characterized in that Based on the material performance parameters, the process of calculating the strain distribution of concrete structures under temperature effects using the finite element analysis method includes: According to the geometric model and boundary conditions of the concrete structure, the numerical model of the structure is established using the finite element method; Acquire mechanical property parameters of concrete materials as material property input of finite element model; wherein the mechanical property parameters of concrete materials include elastic modulus, Poisson's ratio, and thermal expansion coefficient; Determine the temperature load acting on the structure according to the ambient temperature conditions of the concrete structure; Finite element analysis software is used to apply temperature loads to the established concrete structure numerical model and conduct nonlinear transient temperature field analysis; Through temperature field analysis, the temperature distribution of the concrete structure under the temperature effect is obtained; According to the temperature distribution, the thermal-structural coupling analysis method is used to calculate the strain response of the concrete structure under the action of temperature stress; The calculated strain distribution results are post-processed to obtain the strain cloud diagram of the concrete structure under the temperature effect.

9. The method according to claim 1, characterized in that: The temperature effect analysis results are combined with the structural mechanics model to evaluate the impact of temperature effects on the overall stability of the building structure and local components. The process of generating a temperature effect evaluation report includes: According to the design parameters and material properties of the building structure, a structural mechanics model is established to simulate the stress and deformation of the building under different temperature conditions; Obtain historical temperature data and predicted future temperature change trends in the area where the building is located, and determine the temperature range and time span for temperature effect analysis; Finite element analysis method is used to analyze the temperature effect of the structural mechanics model, taking temperature as the load condition, and the stress distribution and deformation of the building structure at different temperatures are obtained; Based on the results of temperature effect analysis, determine whether the building structure meets the overall stability requirements under extreme temperature conditions and identify key locations and weak links; For the key components identified in the temperature effect analysis, local stress analysis and deformation analysis are carried out to evaluate the impact of temperature on component performance; Establish a correlation model between temperature and building structure performance through support vector machines or decision trees to predict the impact trend of future temperature changes on building safety; The temperature effect analysis results and component assessment results are integrated to generate a temperature effect assessment report.

10. A temperature effect simulation system for super high buildings, characterized in that: include: The initial model generation module is used to establish a three-dimensional structural model of a super high-rise building through the finite element method. The initial model including floor, wall, beam and column structural units is generated through the preset building geometric parameters and material properties. A light intensity calculation module is used to obtain solar radiation data and building orientation according to the initial model, calculate the light intensity of each unit on the building surface, and determine the unit distribution on the shady and sunny sides of the building in combination with a preset solar radiation absorption coefficient; A thermal boundary condition application module is used to apply different thermal boundary conditions to the shade side unit and the sun side unit respectively, wherein the sun side unit uses the solar radiation heat flux density as the thermal boundary condition, and the shade side unit uses the ambient temperature as the thermal boundary condition; The temperature field calculation module is used to calculate the temperature field distribution of the building structure under the thermal boundary conditions through a finite element solver, obtain the temperature value of each unit, and generate a temperature field distribution diagram; A material performance calculation module is used to calculate the stress and strain distribution of the concrete structure under the temperature effect based on the temperature value of each unit and in combination with the concrete shrinkage and creep model, so as to obtain the temperature effect simulation analysis result; The temperature effect evaluation module is used to combine the temperature effect analysis results with the structural mechanics model, evaluate the impact of temperature effects on the overall stability of the building structure and local components, and generate a temperature effect evaluation report.

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