Cooling water pipe-containing layered pouring concrete temperature field prediction method and device

Abstract

The invention provides a method and a device for predicting a temperature field of layered pouring concrete containing a cooling water pipe. The method comprises the following steps: acquiring concrete material data, cooling water pipe data and construction condition data; obtaining a geometric model according to the concrete material data and the cooling water pipe data; dividing the geometric model to obtain a unit grid; performing coupling processing on the unit grids to obtain an initial finite element model; modifying the initial finite element model according to a preset boundary condition to obtain a modified finite element model; and obtaining a temperature field prediction result of the concrete according to a prediction demand and the modified finite element model. According to the invention, the temperature field of the concrete can be predicted according to the prediction demand, and the prediction accuracy of the temperature field of the concrete containing the cooling water pipe is improved.

Description

Technical Field

[0001] The invention relates to the technical field of building engineering, and also to a method and a device for predicting the temperature field of layered concrete pouring containing cooling water pipes. Background Art

[0002] Using cooling water pipes to control the temperature of mass concrete is one of the most effective measures to control the temperature of concrete. During the construction of mass concrete, cooling water pipes are used to control the temperature inside the concrete. Finite element numerical analysis technology can dynamically simulate the entire process of mass concrete construction, and predict the temperature field and temperature stress field of concrete that change over time, and then predict the risk of concrete cracking based on the prediction results. It is also possible to compare and analyze the effects of different temperature control measures, thereby providing a basis and reference for temperature control measures. However, in the existing finite element calculations of mass concrete, concrete structures are generally simulated using three-dimensional solid units, while cooling water pipes are simulated using line units. It is difficult to couple cooling water pipe units in the three-dimensional finite element model of mass concrete, and it is also impossible to accurately predict the temperature field of mass concrete containing cooling water pipes. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a method and device for predicting the temperature field of layered concrete pouring containing cooling water pipes, so as to improve the accuracy of temperature field prediction of large volume concrete containing cooling water pipes.

[0004] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0005] A first aspect of the present invention provides a method for predicting the temperature field of layered concrete pouring including cooling water pipes, comprising:

[0006] Obtain concrete material data, cooling water pipe data and construction condition data;

[0007] Obtaining a geometric model according to the concrete material data and the cooling water pipe data;

[0008] Dividing the geometric model to obtain a unit grid;

[0009] Performing coupling processing on the unit grid to obtain an initial finite element model;

[0010] Modifying the initial finite element model according to preset boundary conditions to obtain a modified finite element model;

[0011] According to the prediction requirements and the modified finite element model, the prediction result of the temperature field of concrete is obtained.

[0012] Optionally, obtain concrete material data, cooling water pipe data and construction condition data, including:

[0013] Acquire concrete type data and concrete physical parameter data;

[0014] Obtaining concrete material data according to the concrete type data and the concrete physical parameter data;

[0015] Obtaining basic data of cooling water pipes, layout data of cooling water pipes and cooling water data;

[0016] Obtain cooling water pipe data according to the basic data of the cooling water pipe, the layout data of the cooling water pipe and the cooling water data;

[0017] Obtain construction environment data and construction stage data;

[0018] The construction condition data is obtained according to the construction environment data and the construction stage data.

[0019] Optionally, obtaining a geometric model according to the concrete material data and the cooling water pipe data includes:

[0020] According to the concrete material data, a concrete geometric model is obtained;

[0021] According to the cooling water pipe data, a cooling water pipe geometric model is obtained;

[0022] According to the cooling water pipe data, the cooling water pipe geometric model is embedded into the concrete geometric model to obtain a geometric model.

[0023] Optionally, dividing the geometric model to obtain a unit grid includes:

[0024] Dividing the concrete geometric model in the geometric model to obtain a three-dimensional solid unit grid;

[0025] Dividing the cooling water pipe geometric model in the geometric model to obtain a one-dimensional line unit grid;

[0026] Binding the three-dimensional solid unit mesh according to the concrete material data to obtain a three-dimensional solid unit mesh with attribute information;

[0027] Binding the one-dimensional line unit grid according to the cooling water pipe data to obtain a one-dimensional line unit grid with attribute information;

[0028] A unit mesh is obtained according to the three-dimensional solid unit mesh with attribute information and the one-dimensional line unit mesh with attribute information.

[0029] Optionally, coupling processing is performed on the unit grid to obtain an initial finite element model, including:

[0030] Get coupling conditions;

[0031] The unit grids are coupled according to the coupling conditions to obtain an initial finite element model.

[0032] Optionally, according to the prediction requirements and the modified finite element model, a prediction result of the temperature field of concrete is obtained, including:

[0033] Obtaining forecast demand; the forecast demand includes a forecast time period and preset parameters;

[0034] Determining input conditions according to the predicted demand;

[0035] The input conditions are input into the modified finite element model to obtain the temperature field prediction result of the concrete.

[0036] Optionally, the method further includes:

[0037] According to the concrete temperature field prediction result, obtaining concrete temperature change data;

[0038] Perform cooling effect evaluation based on the temperature change data of the concrete to obtain an evaluation result;

[0039] Determine an adjustment plan based on the evaluation results;

[0040] A concrete temperature field prediction report is obtained according to the concrete temperature field prediction result, the evaluation result and the adjustment plan.

[0041] A second aspect of the present invention provides a device for predicting temperature field of layered concrete pouring including a cooling water pipe, comprising:

[0042] An acquisition module, used to acquire concrete material data, cooling water pipe data and construction condition data;

[0043] A first processing module, used for obtaining a geometric model according to the concrete material data and the cooling water pipe data;

[0044] A second processing module is used to divide the geometric model to obtain a unit grid;

[0045] A third processing module is used to perform coupling processing on the unit grid to obtain an initial finite element model;

[0046] A fourth processing module, used for modifying the initial finite element model according to preset boundary conditions to obtain a modified finite element model;

[0047] The fifth processing module is used to obtain the prediction result of the temperature field of concrete according to the prediction requirements and the modified finite element model.

[0048] According to a third aspect of the present invention, a computing device is provided, comprising: a processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to the first aspect is executed.

[0049] A fourth aspect of the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, causes the computer to execute the method described in the first aspect.

[0050] The above solution of the present invention includes at least the following beneficial effects:

[0051] The above scheme of the present invention obtains a geometric model based on the acquired concrete material data and cooling water pipe data, divides the geometric model to obtain unit grids, couples the unit grids to obtain a finite element model, and then obtains a temperature field prediction result of the concrete based on the prediction requirements and the finite element model. Not only a finite element model of the concrete including the cooling water pipe is obtained, but also the temperature field of the concrete can be predicted according to the prediction requirements, thereby improving the prediction accuracy of the temperature field of the concrete including the cooling water pipe. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a flow chart of a method for predicting temperature field of layered concrete pouring including cooling water pipes in an embodiment of the present invention;

[0053] Figure 2 It is a structural schematic diagram of a layered concrete pouring temperature field prediction device including a cooling water pipe in an embodiment of the present invention. DETAILED DESCRIPTION

[0054] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0055] It should be noted that the concrete in the embodiment of the present invention is mass concrete, which means a large volume of concrete with a minimum geometric dimension of not less than 1 m, or concrete that is expected to cause harmful cracks due to temperature changes and shrinkage caused by hydration of cementitious materials in the concrete.

[0056] like Figure 1As shown, an embodiment of the present invention provides a method for predicting the temperature field of layered concrete pouring including cooling water pipes, comprising the following steps:

[0057] Step 101, obtaining concrete material data, cooling water pipe data and construction condition data;

[0058] Step 102, obtaining a geometric model according to the concrete material data and the cooling water pipe data;

[0059] Step 103, dividing the geometric model to obtain a unit grid;

[0060] Step 104, performing coupling processing on the unit grid to obtain an initial finite element model;

[0061] Step 105, modifying the initial finite element model according to preset boundary conditions to obtain a modified finite element model;

[0062] Step 106: Obtain a prediction result of the temperature field of concrete according to the prediction requirement and the modified finite element model.

[0063] The method for predicting the temperature field of layered cast concrete containing cooling water pipes proposed in an embodiment of the present invention obtains a geometric model based on acquired concrete material data and cooling water pipe data, divides the geometric model to obtain unit grids, couples the unit grids to obtain a finite element model, and then obtains a temperature field prediction result of the concrete based on prediction requirements and the finite element model. Not only a finite element model of concrete containing cooling water pipes is obtained, but also the temperature field of the concrete can be predicted according to the prediction requirements, thereby improving the prediction accuracy of the temperature field of the concrete containing cooling water pipes.

[0064] In an optional embodiment of the present invention, step 101 includes:

[0065] Step 1011, obtaining concrete type data and concrete physical parameter data;

[0066] Specifically, the type data of concrete may include the type of cement and its hydration heat characteristics, concrete mix ratio (water-cement ratio, aggregate type and content, etc.); the physical parameter data of concrete may include thermal conductivity, specific heat capacity, density and other thermophysical parameters of concrete. These data are used for subsequent prediction of the concrete temperature field.

[0067] Step 1012, obtaining concrete material data according to the concrete type data and the concrete physical parameter data;

[0068] Specifically, the concrete material data includes concrete type data and concrete physical parameter data.

[0069] Step 1013, obtaining basic data of cooling water pipes, layout data of cooling water pipes and cooling water data;

[0070] Specifically, the basic data of cooling water pipes includes the material, diameter, length, spacing and other information of cooling water pipes; the layout data of cooling water pipes includes the layout of cooling water pipes (such as serpentine or straight line); cooling water data includes the initial temperature and flow rate of cooling water. Cooling water pipes are used to control the temperature of concrete, so it is necessary to collect relevant data of cooling water pipes for subsequent prediction of concrete temperature field.

[0071] Step 1014, obtaining cooling water pipe data according to the basic data of the cooling water pipe, the layout data of the cooling water pipe and the cooling water data;

[0072] Specifically, the cooling water pipe data includes basic data of the cooling water pipe, layout data of the cooling water pipe and cooling water data.

[0073] Step 1015, obtaining construction environment data and construction stage data;

[0074] Specifically, the construction environment data includes some data about the environment in which the concrete is located, such as ambient temperature, wind speed, humidity, etc. The construction stage data includes data such as concrete pouring method, pouring speed, and intermittent time. These data will affect the temperature of the concrete, so it is necessary to obtain these data for subsequent prediction of the concrete temperature field.

[0075] Step 1016, obtaining construction condition data according to the construction environment data and the construction stage data.

[0076] Specifically, the construction condition data includes construction environment data and construction stage data.

[0077] In an optional embodiment of the present invention, step 102 includes:

[0078] Step 1021, obtaining a concrete geometric model according to the concrete material data;

[0079] Specifically, different concrete geometric models will be obtained according to different concrete material data. For the obtained concrete material data, according to its size, shape, partition and other information, a concrete geometric model is generated using three-dimensional modeling software such as CAD (a drawing software) or Midas GTS NX (a general geotechnical finite element analysis software).

[0080] Step 1022, obtaining a cooling water pipe geometric model according to the cooling water pipe data;

[0081] Specifically, different cooling water pipe geometric models will be obtained according to different cooling water pipe data. For the obtained cooling water pipe data, according to its size, shape, position and other information, a cooling water pipe geometric model is generated using three-dimensional modeling software such as CAD (a drawing software) or Midas GTS NX (a general geotechnical finite element analysis software).

[0082] Step 1023: embed the cooling water pipe geometric model into the concrete geometric model according to the cooling water pipe data to obtain a geometric model.

[0083] Specifically, according to the position, quantity and embedding method of the cooling water pipes in the cooling water pipe data, the cooling water pipe geometric model is accurately embedded in the concrete geometric model. Here, the layer spacing, spacing and shape (such as straight line or serpentine) of the embedded cooling water pipe geometric model need to be consistent with the layer spacing, spacing and shape of the cooling water pipes in the cooling water pipe data, so as to achieve the purpose of being consistent with the actual situation, which is conducive to improving the accuracy of the final prediction results.

[0084] In an optional embodiment of the present invention, step 103 includes:

[0085] Step 1031, dividing the concrete geometric model in the geometric model to obtain a three-dimensional solid unit mesh;

[0086] Step 1032, dividing the cooling water pipe geometric model in the geometric model to obtain a one-dimensional line unit grid;

[0087] Specifically, the concrete geometric model and the cooling water pipe geometric model can be divided by structured grid or unstructured grid division to obtain a finite number of small units, which are the basic units of finite element analysis. The size and shape of the grid should be determined according to the preset accuracy. Around the cooling water pipe, due to the large temperature gradient, it is usually necessary to divide a denser grid to improve the calculation accuracy.

[0088] Step 1033, binding the three-dimensional solid unit mesh according to the concrete material data to obtain a three-dimensional solid unit mesh with attribute information;

[0089] Specifically, the physical parameter data of concrete are bound to the three-dimensional solid unit grid for subsequent prediction.

[0090] Step 1034, binding the one-dimensional line unit grid according to the cooling water pipe data to obtain a one-dimensional line unit grid with attribute information;

[0091] Specifically, the material, diameter, length, spacing of the cooling water pipe, as well as the initial temperature and flow rate of the cooling water are bound to the one-dimensional line unit grid for subsequent prediction.

[0092] Step 1035: Obtain a unit mesh according to the three-dimensional solid unit mesh with attribute information and the one-dimensional line unit mesh with attribute information.

[0093] Here, the unit grid includes a three-dimensional solid unit grid with attribute information and a one-dimensional line unit grid with attribute information. In an optional embodiment of the present invention, step 104 includes:

[0094] Step 1041, obtaining coupling conditions;

[0095] Specifically, the coupling condition includes a heat conduction equation and a heat flow coupling unit. The heat conduction equation includes a heat conduction equation of a concrete three-dimensional solid unit and a heat conduction equation of a cooling water pipeline unit. The heat flow coupling unit simulates the influence of cooling water on the temperature of concrete by introducing additional degrees of freedom or nodes in the coupling unit, that is, simulates the convective heat exchange process between concrete and the cooling water pipe. Step 1042, coupling the unit grid according to the coupling condition to obtain an initial finite element model.

[0096] Specifically, set the coupling calculation parameters, such as time step, convergence criteria, etc., load the unit grid into the finite element analysis software for calculation, solve the heat conduction equation, and update the temperature distribution of the concrete and cooling water pipe in each time step. During the calculation process, the water flow in the cooling water pipe will continuously take away the heat, causing the temperature of the surrounding concrete to gradually decrease. At the same time, the temperature change of the concrete will also affect the water temperature distribution in the cooling water pipe. This calculation process is a coupling process. After the calculation is completed, an initial finite element model that can be predicted is obtained.

[0097] In an optional embodiment of the present invention, step 105 is specifically:

[0098] Set the preset boundary conditions in the initial finite element model. The preset boundary conditions are the thermodynamic boundary conditions for layered concrete pouring. The thermodynamic boundary conditions for layered concrete pouring can be set as follows: when pouring the lower layer of concrete, the upper surface is in direct contact with the air and activated as the thermal convection exchange boundary with the concrete. When pouring the upper layer of concrete, the upper surface of the lower layer of concrete is covered, and the concrete thermal convection exchange boundary setting on the upper surface of the lower layer of concrete needs to be passivated. During the modeling process, this operation needs to be performed cyclically from bottom to top.

[0099] In an optional embodiment of the present invention, step 106 includes:

[0100] Step 1061, obtaining predicted demand; the predicted demand includes a predicted time period and preset parameters;

[0101] Specifically, the forecasting requirements can be provided by the user, which need to include the forecasting time period and preset parameters. The forecasting time period may include the construction period, the maintenance period, etc. and their start and end times; the preset parameters may include the maximum temperature, the temperature gradient, and the temperature difference between the inside and the outside.

[0102] Step 1062, determining input conditions according to the predicted demand;

[0103] Specifically, according to the forecast time period in the forecast demand, the heat conduction characteristics of the cooling water pipe and the heat exchange relationship between it and the concrete can be determined; the boundary conditions are set according to the preset parameters in the forecast demand, such as the surface heat exchange coefficient and the ambient temperature, the initial temperature distribution of the concrete (such as the pouring temperature), etc. In addition, the hydration heat of the concrete can be used as an internal heat source as an input condition. Therefore, the input conditions can include the heat conduction characteristics of the cooling water pipe and the heat exchange relationship between it and the concrete, the surface heat exchange coefficient and the ambient temperature, the initial temperature distribution of the concrete, etc.

[0104] Step 1063: input the input conditions into the modified finite element model to obtain a prediction result of the temperature field of concrete.

[0105] Specifically, the modified finite element model will perform mechanical calculations on each unit body according to the input conditions and the data bound into the unit grid, and finally obtain the concrete temperature field prediction results. The concrete temperature field prediction results can include the temperature trend change of the concrete, the temperature at different locations, etc.

[0106] In an optional embodiment of the present invention, the method further comprises:

[0107] Step 107, obtaining temperature change data of the concrete according to the prediction result of the temperature field of the concrete;

[0108] Specifically, the concrete temperature field prediction results include specific temperatures at different times and locations, temperature field distribution diagrams, temperature change curves, and other charts. From these chart data, concrete temperature change data can be extracted, such as the concrete internal temperature peak, temperature gradient maximum, and internal and external temperature difference.

[0109] Step 108, evaluating the cooling effect according to the temperature change data of the concrete to obtain an evaluation result;

[0110] Specifically, based on the changes in key data such as the peak temperature inside the concrete, the maximum temperature gradient, and the temperature difference between the inside and outside, the cooling effect of the cooling water pipe can be evaluated to obtain an evaluation result. Based on the evaluation result, it is determined whether the cooling plan needs to be adjusted.

[0111] Step 109, determining an adjustment plan according to the evaluation result;

[0112] Specifically, the evaluation result includes the cooling effect of the cooling water pipe, such as good cooling effect, average cooling effect, or poor cooling effect, etc. The corresponding pre-stored adjustment plan is retrieved according to the evaluation result.

[0113] Step 110: obtaining a concrete temperature field prediction report according to the concrete temperature field prediction result, the evaluation result and the adjustment plan.

[0114] Specifically, the concrete temperature field prediction report not only includes the concrete temperature field prediction results, but also includes the evaluation results and corresponding adjustment plans, which is convenient for management personnel to adjust the layout and quantity of cooling water pipes according to the evaluation results and corresponding adjustment plans, as well as to grasp the changes in the concrete temperature field in advance, which is convenient for management and response.

[0115] A specific embodiment of the method for predicting the temperature field of layered concrete pouring including cooling water pipes according to the embodiment of the present invention is as follows:

[0116] Step 111, obtaining data.

[0117] The material information of concrete, such as cement type and its hydration heat characteristics, concrete mix ratio (water-cement ratio, aggregate type and content, etc.) is obtained as the type data of concrete; the thermal conductivity, specific heat capacity and other thermal physical parameters of concrete are obtained as the physical parameter data of concrete. These type data of concrete and physical parameter data of concrete belong to the concrete material data, which are used for the subsequent construction of concrete geometric model and the prediction of final temperature field.

[0118] Get cooling water pipe data, including the diameter, wall thickness and material of the cooling water pipe, the layout of the cooling water pipe (such as spacing, number of layers, location, etc.), the initial temperature, flow rate and duration of the circulating water. These data are used to build the cooling water pipe geometric model and predict the final temperature field.

[0119] Obtain construction condition data, including ambient temperature and humidity during concrete pouring, climatic conditions such as wind speed and sunshine during construction, and insulation and moisture retention measures and their effects. These data are used to determine the boundary conditions and initial conditions of the finite element model.

[0120] Step 112, determining the geometric model.

[0121] In this embodiment, the geometric model of concrete is generated according to the material information of concrete using the 3D modeling software AutoCAD, and the position and quantity of cooling water pipes are accurately arranged in the geometric model of concrete according to the arrangement in the cooling water pipe data. The geometric model of cooling water pipes is usually simplified into straight line segments or curve segments, and the specific shape depends on the arrangement in the actual structure. In addition, it is also necessary to bind the physical parameter data in the concrete material data, the diameter, wall thickness, material and initial temperature, flow rate and duration of the cooling water pipe in the cooling water pipe data with the geometric model of concrete or the geometric model of cooling water pipe for subsequent calculations.

[0122] Step 113, unit grid division.

[0123] The concrete geometric model is divided by structured or unstructured grid division to obtain a finite number of small units. The geometric model of the cooling water pipe is divided into a series of one-dimensional line unit grids. In the finite element analysis software, select the one-dimensional line unit type suitable for the cooling water pipe. These unit types are usually used to simulate slender structures or components, such as pipes, rods, etc. They can efficiently deal with temperature changes and heat conduction problems along the length direction. These unit grids are distributed along the length direction of the cooling water pipe and have sufficient density to ensure calculation accuracy. The density of the grid depends on the diameter, length and required calculation accuracy of the cooling water pipe. Define thermal physical parameters for each one-dimensional line unit, such as thermal conductivity, specific heat capacity, etc. These parameters will be used to calculate the heat exchange process between the cooling water pipe and concrete. Set boundary conditions on the one-dimensional line unit of the cooling water pipe, such as inlet water temperature, outlet water temperature or water flow velocity. These boundary conditions will affect the water flow state and temperature distribution in the cooling water pipe, and thus affect the prediction results of the concrete temperature field.

[0124] Step 114, coupling processing.

[0125] The heat conduction equations are established for the concrete three-dimensional entity unit and the cooling water pipeline unit respectively, and the thermal coupling conditions are set at the interface between the two units. The heat-flux coupling unit is used to simulate the convective heat exchange process between the concrete and the cooling water pipe. The coupling calculation parameters, such as time step, convergence criterion, etc., are set in the finite element analysis software. Then, the finite element analysis software is run to solve the heat conduction equation, and the temperature distribution of the concrete and the cooling water pipe in each time step is updated. The concrete three-dimensional entity unit and the cooling water pipeline unit are coupled to obtain the initial finite element model.

[0126] Step 115, setting thermodynamic boundary conditions for layered concrete pouring in the finite element model.

[0127] The thermodynamic boundary conditions for layered concrete pouring can include:

[0128] The third type of boundary condition (convective heat transfer boundary condition). It means that when the concrete surface contacts with air, water or other fluids, convective heat transfer will occur. This heat exchange method follows Newton's law of cooling, that is, the amount of heat transferred per unit area per unit time is proportional to the difference between the concrete surface temperature and the fluid temperature. This boundary condition is particularly important in the layered pouring of large-volume concrete, especially when the upper surface of the concrete is exposed to the air. It is necessary to accurately determine the convective heat transfer coefficient between air and concrete in order to correctly simulate this heat exchange process in the finite element model and thus predict the temperature field of the concrete.

[0129] The second type of boundary condition (adiabatic boundary condition) means that in some cases, the concrete surface may be covered by insulation materials or in an adiabatic state due to construction conditions. At this time, it can be considered that the concrete has no heat exchange on these surfaces. During the layered pouring process, if the side or bottom of the concrete is tightly wrapped by formwork or other insulation materials, these surfaces can be regarded as adiabatic boundaries. In the finite element model, the heat flux on these surfaces should be set to zero.

[0130] The first type of boundary condition (given temperature boundary condition) means that in some special cases, the temperature of the concrete surface may be known or controllable. For example, when heating or cooling equipment is laid on the concrete surface. Although this type of boundary condition is rarely encountered in the normal case of layered pouring of large-volume concrete, it may be encountered in some special projects or experiments. In these cases, the temperature of the concrete surface should be set according to the actual situation.

[0131] The thermodynamic boundary conditions of layered concrete pouring can be set by field measurement, that is, using instruments such as thermometers and anemometers to measure parameters such as temperature and wind speed on the concrete surface and the surrounding environment. The convective heat transfer coefficient between concrete and fluids such as air and water can be determined experimentally. Finite element analysis software can also be used for numerical simulation to observe the temperature distribution and stress changes inside the concrete by setting different thermodynamic boundary conditions. Adjust the boundary condition settings according to the simulation results until the simulation results that match the actual situation are obtained.

[0132] Step 116, calculating the predicted result of the temperature field of concrete.

[0133] According to the prediction requirements, the specific time period for prediction is clarified. Taking the construction period as an example, it may be necessary to predict the temperature field changes during the entire time period from the beginning of concrete pouring to reaching a certain strength (such as reaching 70% of the design strength). If the curing period also needs to be considered, the prediction time can be extended to a certain time point after the concrete curing is completed. According to the prediction requirements, input conditions are obtained, such as the initial temperature during concrete pouring, ambient temperature (such as daily average temperature, maximum temperature, minimum temperature, etc.), initial water temperature and variation range of cooling water pipes, and temperature differences at different locations inside the concrete, especially the temperature gradient between the central area and the edge area of ​​large-volume concrete, and the difference between the internal temperature of the concrete and the external ambient temperature. The specific time period and the obtained input conditions are input into the modified finite element model for calculation to obtain the temperature field prediction results of the concrete.

[0134] Step 117, generating a concrete temperature field prediction report.

[0135] Analyze the concrete temperature field prediction report, extract temperature field distribution diagrams at key time points, temperature change curves and other charts, as well as changes in key parameters such as concrete internal temperature peak, temperature gradient maximum, and internal and external temperature difference. At the same time, the cooling effect of the cooling water pipe can be evaluated to determine whether the cooling plan needs to be adjusted. Based on the evaluation, the corresponding pre-stored adjustment plan can be retrieved for reference by management personnel.

[0136] The layered concrete temperature field prediction method including cooling water pipes proposed in the embodiment of the present invention not only calculates the concrete temperature field prediction result according to the prediction demand, but also can evaluate the cooling effect of the cooling water pipes according to the concrete temperature field prediction result, and then retrieve the corresponding pre-stored scheme for reference by the management personnel, which has great adaptability and user satisfaction.

[0137] like Figure 2 As shown, the embodiment of the present invention further proposes a layered concrete pouring temperature field prediction device 200 including a cooling water pipe, comprising:

[0138] An acquisition module 201 is used to acquire concrete material data, cooling water pipe data and construction condition data;

[0139] A first processing module 202 is used to obtain a geometric model according to the concrete material data and the cooling water pipe data;

[0140] The second processing module 203 is used to divide the geometric model to obtain a unit grid;

[0141] The third processing module 204 is used to perform coupling processing on the unit grid to obtain a finite element model;

[0142] The fourth processing module 205 is used to modify the initial finite element model according to the preset boundary conditions to obtain a modified finite element model;

[0143] The fifth processing module 206 is used to obtain the prediction result of the temperature field of concrete according to the prediction requirements and the finite element model.

[0144] Optionally, obtain concrete material data, cooling water pipe data and construction condition data, including:

[0145] Acquire concrete type data and concrete physical parameter data;

[0146] Obtaining concrete material data according to the concrete type data and the concrete physical parameter data;

[0147] Obtaining basic data of cooling water pipes, layout data of cooling water pipes and cooling water data;

[0148] Obtain cooling water pipe data according to the basic data of the cooling water pipe, the layout data of the cooling water pipe and the cooling water data;

[0149] Obtain construction environment data and construction stage data;

[0150] The construction condition data is obtained according to the construction environment data and the construction stage data.

[0151] Optionally, obtaining a geometric model according to the concrete material data and the cooling water pipe data includes:

[0152] According to the concrete material data, a concrete geometric model is obtained;

[0153] According to the cooling water pipe data, a cooling water pipe geometric model is obtained;

[0154] According to the cooling water pipe data, the cooling water pipe geometric model is embedded into the concrete geometric model to obtain a geometric model.

[0155] Optionally, dividing the geometric model to obtain a unit grid includes:

[0156] Dividing the concrete geometric model in the geometric model to obtain a three-dimensional solid unit grid;

[0157] Dividing the cooling water pipe geometric model in the geometric model to obtain a one-dimensional line unit grid;

[0158] Binding the three-dimensional solid unit mesh according to the concrete material data to obtain a three-dimensional solid unit mesh with attribute information;

[0159] Binding the one-dimensional line unit grid according to the cooling water pipe data to obtain a one-dimensional line unit grid with attribute information;

[0160] A unit mesh is obtained according to the three-dimensional solid unit mesh with attribute information and the one-dimensional line unit mesh with attribute information.

[0161] Optionally, coupling processing is performed on the unit grid to obtain an initial finite element model, including:

[0162] Get coupling conditions;

[0163] The unit grids are coupled according to the coupling conditions to obtain an initial finite element model.

[0164] Optionally, according to the prediction requirements and the finite element model, a prediction result of the temperature field of concrete is obtained, including:

[0165] Obtaining forecast demand; the forecast demand includes a forecast time period and preset parameters;

[0166] Determining input conditions according to the predicted demand;

[0167] The input conditions are input into the modified finite element model to obtain the temperature field prediction result of the concrete.

[0168] Optionally, the device further comprises:

[0169] A fifth processing module 207 is used to obtain temperature change data of concrete according to the prediction result of the temperature field of concrete;

[0170] A sixth processing module 208 is used to evaluate the cooling effect according to the temperature change data of the concrete to obtain an evaluation result;

[0171] The seventh processing module 209 is used to determine an adjustment plan according to the evaluation result;

[0172] The eighth processing module 210 is used to obtain a concrete temperature field prediction report according to the concrete temperature field prediction result, the evaluation result and the adjustment plan.

[0173] The device for predicting the temperature field of layered cast concrete including cooling water pipes proposed in an embodiment of the present invention obtains a geometric model based on acquired concrete material data and cooling water pipe data, divides the geometric model to obtain unit grids, couples the unit grids to obtain a finite element model, and then obtains a temperature field prediction result of the concrete based on prediction requirements and the finite element model. Not only a finite element model of concrete including cooling water pipes is obtained, but also the temperature field of concrete can be predicted according to prediction requirements, thereby improving the prediction accuracy of the temperature field of concrete including cooling water pipes.

[0174] It should be noted that the device is a device corresponding to the above method, and all implementations in the above method embodiment are applicable to the embodiment of the device and can achieve the same technical effect. This embodiment will not be repeated.

[0175] The embodiment of the present invention further provides a computing device, comprising: a processor, and a memory storing a computer program, wherein when the computer program is executed by the processor, the method described in any one of the above embodiments is executed. All implementations in the above method embodiments are applicable to the embodiments of the device, and can achieve the same technical effects. They will not be described in detail in this embodiment.

[0176] The embodiment of the present invention further provides a computer-readable storage medium on which instructions are stored. When the instructions are executed on a computer, the computer executes the method as described in any one of the above embodiments. All implementations in the above method embodiments are applicable to the embodiments of the device and can achieve the same technical effects. They will not be described in detail in this embodiment.

[0177] It should be noted that, in the above-mentioned embodiments, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "include one..." do not exclude the existence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the implementation of the above-mentioned embodiments is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0178] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for predicting the temperature field of layered concrete pouring including cooling water pipes. A method for predicting the temperature field of layered concrete pouring including cooling water pipes. It is characterized in that include: Obtain concrete material data, cooling water pipe data and construction condition data; Obtaining a geometric model according to the concrete material data and the cooling water pipe data; Dividing the geometric model to obtain a unit grid; Performing coupling processing on the unit grid to obtain an initial finite element model; Modifying the initial finite element model according to preset boundary conditions to obtain a modified finite element model; According to the prediction requirements and the modified finite element model, the prediction result of the temperature field of concrete is obtained.

2. The method for predicting the temperature field of layered concrete pouring containing cooling water pipes according to claim 1, It is characterized in that Obtain concrete material data, cooling water pipe data, and construction condition data, including: Acquire concrete type data and concrete physical parameter data; Obtaining concrete material data according to the concrete type data and the concrete physical parameter data; Obtaining basic data of cooling water pipes, layout data of cooling water pipes and cooling water data; Obtain cooling water pipe data according to the basic data of the cooling water pipe, the layout data of the cooling water pipe and the cooling water data; Obtain construction environment data and construction stage data; The construction condition data is obtained according to the construction environment data and the construction stage data.

3. The method for predicting the temperature field of layered concrete pouring containing cooling water pipes according to claim 1, It is characterized in that According to the concrete material data and the cooling water pipe data, a geometric model is obtained, including: According to the concrete material data, a concrete geometric model is obtained; According to the cooling water pipe data, a cooling water pipe geometric model is obtained; According to the cooling water pipe data, the cooling water pipe geometric model is embedded into the concrete geometric model to obtain a geometric model.

4. The method for predicting the temperature field of layered concrete pouring containing cooling water pipes according to claim 1, It is characterized in that The geometric model is divided to obtain a unit grid, including: Dividing the concrete geometric model in the geometric model to obtain a three-dimensional solid unit grid; Dividing the cooling water pipe geometric model in the geometric model to obtain a one-dimensional line unit grid; Binding the three-dimensional solid unit mesh according to the concrete material data to obtain a three-dimensional solid unit mesh with attribute information; Binding the one-dimensional line unit grid according to the cooling water pipe data to obtain a one-dimensional line unit grid with attribute information; A unit mesh is obtained according to the three-dimensional solid unit mesh with attribute information and the one-dimensional line unit mesh with attribute information.

5. The method for predicting the temperature field of layered concrete pouring containing cooling water pipes according to claim 1, It is characterized in that The unit grid is coupled to obtain an initial finite element model, including: Get coupling conditions; The unit grids are coupled according to the coupling conditions to obtain an initial finite element model.

6. The method for predicting temperature field of layered concrete pouring including cooling water pipes according to claim 1, It is characterized in that According to the prediction requirements and the modified finite element model, the prediction results of the temperature field of concrete are obtained, including: Obtaining forecast demand; the forecast demand includes a forecast time period and preset parameters; Determining input conditions according to the predicted demand; The input conditions are input into the modified finite element model to obtain the temperature field prediction result of the concrete.

7. The method for predicting temperature field of layered concrete pouring including cooling water pipes according to claim 1, It is characterized in that Also includes: According to the concrete temperature field prediction result, obtaining concrete temperature change data; Perform cooling effect evaluation based on the temperature change data of the concrete to obtain an evaluation result; Determine an adjustment plan based on the evaluation results; A concrete temperature field prediction report is obtained according to the concrete temperature field prediction result, the evaluation result and the adjustment plan.

8. A device for predicting temperature field of layered concrete pouring including cooling water pipes, It is characterized in that include: An acquisition module, used to acquire concrete material data, cooling water pipe data and construction condition data; A first processing module, used for obtaining a geometric model according to the concrete material data and the cooling water pipe data; A second processing module is used to divide the geometric model to obtain a unit grid; A third processing module is used to perform coupling processing on the unit grid to obtain an initial finite element model; A fourth processing module, used for modifying the initial finite element model according to preset boundary conditions to obtain a modified finite element model; The fifth processing module is used to obtain the prediction result of the temperature field of concrete according to the prediction requirements and the modified finite element model.

9. A computing device, It is characterized in that include: A processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to any one of claims 1 to 7 is performed.

10. A computer-readable storage medium, It is characterized in that Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the method according to any one of claims 1 to 7.

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