Method and device for determining mass concrete temperature field

Abstract

The invention provides a mass concrete temperature field determination method and device. The method comprises the steps of obtaining a concrete finite element model, construction data and temperature field boundary conditions; obtaining an initial concrete temperature field according to the concrete finite element model, the construction data and the temperature field boundary conditions; verifying the initial concrete temperature field according to the obtained field monitoring data to obtain a verification result; adjusting the concrete finite element model according to the verification result to obtain an adjusted concrete finite element model; and obtaining a target concrete temperature field according to the adjusted concrete finite element model. According to the method, the obtained initial concrete temperature field is verified according to the obtained field monitoring data, the concrete finite element model is adjusted, and the target concrete temperature field is obtained by using the adjusted concrete finite element model, so that the flexibility and the working efficiency when the mass concrete temperature field is determined are improved.

Description

Technical Field

[0001] The invention relates to the technical field of construction engineering, and also to a method and a device for determining a temperature field of a large volume of concrete. Background Art

[0002] Large-volume concrete will generate a large amount of hydration heat during the pouring and curing process, and the temperature stress generated by the hydration heat will cause structural cracks. For large-volume concrete structures, the temperature stress generated by the hydration heat is an important cause of cracks in the concrete structure. The cracks provide a channel for external corrosive media to directly penetrate into the concrete, reducing the service life of the concrete. Severe cases can cause local damage to the structure or even overall damage. Since such cracks have a strong destructive power on the structure and seriously affect the use of the structure, it is of great significance to study the temperature field of large-volume concrete in order to minimize the occurrence of temperature cracks. In the prior art, the study of the temperature field of concrete requires the measurement of the temperature field of concrete in combination with a monitoring device, which has low flexibility and work efficiency. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a method and device for determining the temperature field of mass concrete, so as to improve the efficiency and flexibility when calculating the temperature field of mass concrete.

[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 determining a temperature field of a mass concrete, comprising:

[0006] Obtain concrete finite element model, construction data and temperature field boundary conditions;

[0007] Obtaining an initial concrete temperature field according to the concrete finite element model, the construction data and the temperature field boundary conditions;

[0008] Verifying the initial concrete temperature field according to the acquired on-site monitoring data to obtain a verification result;

[0009] Adjusting the concrete finite element model according to the verification result to obtain an adjusted concrete finite element model;

[0010] According to the adjusted concrete finite element model, a target concrete temperature field is obtained.

[0011] Optionally, obtain the concrete finite element model, construction data and temperature field boundary conditions, including:

[0012] Obtaining concrete geometric model and model parameters;

[0013] Determining a concrete finite element model according to the concrete geometric model and the model parameters;

[0014] Obtain construction phase data and construction time data;

[0015] Determining construction data according to the construction stage data and the construction time data;

[0016] Obtain environmental data and insulation data;

[0017] The temperature field boundary conditions are determined according to the environmental data and the insulation data.

[0018] Optionally, obtaining an initial concrete temperature field according to the concrete finite element model, the construction data and the temperature field boundary conditions includes:

[0019] Convert the construction data and the temperature field boundary conditions according to a preset format to obtain converted construction data and converted temperature field boundary conditions;

[0020] The converted construction data and the converted temperature field boundary conditions are input into the concrete finite element model to obtain an initial concrete temperature field.

[0021] Optionally, the initial concrete temperature field is verified according to the acquired on-site monitoring data to obtain a verification result, including:

[0022] Obtaining on-site monitoring data;

[0023] Extracting the on-site monitoring data to obtain a monitoring position and a monitoring temperature;

[0024] Extracting the initial concrete temperature field to obtain a first position and a first temperature;

[0025] The first position and the first temperature are verified according to the monitored position and the monitored temperature to obtain a verification result.

[0026] Optionally, obtain on-site monitoring data, including:

[0027] Obtain basic data of concrete;

[0028] Determine the monitoring position according to the basic data of the concrete;

[0029] According to the monitoring position, corresponding temperature data is obtained;

[0030] The on-site monitoring data is obtained according to the corresponding temperature data.

[0031] Optionally, adjusting the concrete finite element model according to the verification result to obtain an adjusted concrete finite element model includes:

[0032] Adjusting the input parameters in the concrete finite element model according to the verification result to obtain adjusted input parameters;

[0033] Adjusting the mesh density in the concrete finite element model according to the verification result to obtain an adjusted mesh density;

[0034] Adjusting the model parameters in the concrete finite element model according to the verification result to obtain adjusted model parameters;

[0035] An adjusted concrete finite element model is obtained according to the adjusted input parameters, the adjusted grid density and the adjusted model parameters.

[0036] Optionally, obtaining a target concrete temperature field according to the adjusted concrete finite element model includes:

[0037] receiving target construction data and target temperature field boundary conditions;

[0038] The target construction data and the target temperature field boundary conditions are input into the adjusted concrete finite element model to obtain the target concrete temperature field.

[0039] A second aspect of the present invention provides a device for determining a temperature field of a large volume of concrete, comprising:

[0040] Acquisition module, used to obtain concrete finite element model, construction data and temperature field boundary conditions;

[0041] A first processing module is used to obtain an initial concrete temperature field according to the concrete finite element model, the construction data and the temperature field boundary conditions;

[0042] The second processing module is used to verify the initial concrete temperature field according to the acquired on-site monitoring data to obtain a verification result;

[0043] A third processing module is used to adjust the concrete finite element model according to the verification result to obtain an adjusted concrete finite element model;

[0044] The fourth processing module is used to obtain a target concrete temperature field according to the adjusted concrete finite element model.

[0045] 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.

[0046] 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.

[0047] The above solution of the present invention includes at least the following beneficial effects:

[0048] The above scheme of the present invention obtains the initial concrete temperature field by acquiring the concrete finite element model, construction data and temperature field boundary conditions, and then verifies the initial concrete temperature field according to the acquired on-site monitoring data, adjusts the concrete finite element model according to the verification result, and obtains the target concrete temperature field using the adjusted concrete finite element model, thereby improving the flexibility and work efficiency in determining the temperature field of large-volume concrete. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 is a flow chart of a method for determining a temperature field of a large volume of concrete in an embodiment of the present invention;

[0050] Figure 2 Schematic diagram of the structure of a device for determining a temperature field of mass concrete in an embodiment of the present invention. DETAILED DESCRIPTION

[0051] 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.

[0052] 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.

[0053] like Figure 1 As shown, an embodiment of the present invention provides a method for determining a temperature field of a large volume of concrete, comprising the following steps:

[0054] Step 101, obtaining a concrete finite element model, construction data and temperature field boundary conditions;

[0055] Step 102, obtaining an initial concrete temperature field according to the concrete finite element model, the construction data and the temperature field boundary conditions;

[0056] Step 103, verifying the initial concrete temperature field according to the acquired on-site monitoring data to obtain a verification result;

[0057] Step 104, adjusting the concrete finite element model according to the verification result to obtain an adjusted concrete finite element model;

[0058] Step 105: obtaining a target concrete temperature field according to the adjusted concrete finite element model.

[0059] The method for determining the temperature field of large-volume concrete proposed in an embodiment of the present invention obtains an initial concrete temperature field by acquiring a concrete finite element model, construction data and temperature field boundary conditions, verifies the initial concrete temperature field according to the acquired on-site monitoring data, adjusts the concrete finite element model according to the verification result, and obtains the target concrete temperature field using the adjusted concrete finite element model, thereby improving the flexibility and work efficiency in determining the temperature field of large-volume concrete.

[0060] In an optional embodiment of the present invention, step 101 includes:

[0061] Step 1011, obtaining a concrete geometric model and model parameters;

[0062] Specifically, we can first obtain the size (length, width, height, etc.), shape, holes, cracks and partitions of the concrete structure, and then use 3D modeling software, such as MIDAS GTS NX (New eXperience of Geo-Technical analys is System, a general finite element analysis software developed for the geotechnical field) finite element software or CAD software (a software that uses computers and graphics equipment to help designers perform design work) to establish a geometric model of concrete. The geometric model of concrete is the basis for the subsequent determination of the concrete finite element model, and it is necessary to reflect the shape, size (length, width, height, etc.), holes, cracks, etc. of the concrete structure.

[0063] Here, the model parameters can include the material parameters, boundary conditions and loads of concrete. These material parameters describe the mechanical properties of concrete, which directly affect the accuracy of the concrete finite element model in determining the temperature field of large-volume concrete. Material parameters include: elastic modulus, which reflects the ability of concrete to resist elastic deformation and is one of the important indicators of concrete mechanical properties; Poisson's ratio, which describes the ratio of lateral strain to longitudinal strain when concrete is subjected to unidirectional compression or tension; density, which represents the mass of concrete per unit volume and is the basis for calculating the relationship between concrete weight and volume; thermal conductivity, which is used to describe the speed of heat transfer inside concrete in temperature field analysis; specific heat capacity, which represents the heat absorbed or released by a unit mass of concrete when it rises or falls by 1 degree Celsius; shear modulus, which reflects the ability of concrete to resist shear deformation; compressive strength and tensile strength, which represent the maximum bearing capacity of concrete under pressure and tension, respectively.

[0064] Boundary conditions and loads are an integral part of determining the concrete finite element model, which define the constraints and external forces of the concrete structure. Boundary conditions can include fixed constraints, hinge constraints, sliding constraints, etc., which are used to simulate the interaction between the concrete structure and the surrounding environment or other components. Loads include static loads (such as gravity, wind loads, snow loads, etc.) and dynamic loads (such as earthquake loads, vehicle loads, etc.), which act on the concrete structure and cause the structure to respond.

[0065] Step 1012, determining a concrete finite element model according to the concrete geometric model and the model parameters;

[0066] Specifically, the concrete geometric model is discretized into a finite number of small units through meshing. These units are the basic units of the concrete finite element model. The quality of meshing directly affects the accuracy and computational efficiency of the concrete finite element model. When meshing, factors such as the shape, size, and density of the unit need to be considered to ensure the accuracy and reliability of the final temperature field results.

[0067] Step 1013, obtaining construction phase data and construction time data;

[0068] Specifically, according to the construction schedule, the start and end time of each construction stage is clarified. For example, the construction stage data may include the foundation pouring stage, the wall pouring stage, and the top slab pouring stage, and the construction time data includes the start and end time of the foundation pouring stage, the start and end time of the wall pouring stage, and the start and end time of the top slab pouring stage.

[0069] Step 1014, determining construction data according to the construction stage data and the construction time data;

[0070] Specifically, the construction data includes construction stage data and construction time data.

[0071] Step 1015, obtaining environmental data and thermal insulation data;

[0072] Specifically, environmental data may include some basic data about the environment in which the concrete is located, such as external ambient temperature, solar radiation, wind speed, humidity, etc.; insulation data may include the use of cooling water pipes, the coverage of insulation materials, the speed and method of concrete pouring, etc.

[0073] Step 1016: Determine the temperature field boundary conditions according to the environmental data and the insulation data.

[0074] Specifically, the temperature field boundary conditions include environmental data and insulation data. The environmental data and insulation data at different construction stages will affect the temperature field boundary conditions.

[0075] In an optional embodiment of the present invention, step 102 includes:

[0076] Step 1021, converting the construction data and the temperature field boundary conditions according to a preset format to obtain converted construction data and converted temperature field boundary conditions;

[0077] Specifically, before using the concrete finite element model to calculate the initial concrete temperature field, the construction data and the temperature field boundary conditions need to be converted according to a preset format so that the construction data and the temperature field boundary conditions conform to a format that can be processed by the concrete finite element model. The preset format can be set according to different finite element analysis software.

[0078] Step 1022: input the converted construction data and the converted temperature field boundary conditions into the concrete finite element model to obtain an initial concrete temperature field.

[0079] Specifically, the corresponding parameters in the concrete finite element model are adjusted according to the converted construction data and the converted temperature field boundary conditions. For example, if the external ambient temperature in the converted temperature field boundary conditions increases, the set value of the ambient temperature in the concrete finite element model needs to be increased accordingly. If the converted temperature field boundary conditions include cooling water pipes, the position and flow rate of the cooling water pipes and other parameters need to be set in the concrete finite element model. After adjusting the parameters of the concrete finite element model, the concrete finite element model in the finite element analysis software is run to obtain the initial concrete temperature field.

[0080] In an optional embodiment of the present invention, step 103 includes:

[0081] Step 1031, obtaining on-site monitoring data;

[0082] In an optional embodiment of the present invention, step 1031 includes:

[0083] Step 10311, obtaining basic data of concrete;

[0084] Here, the basic data of concrete include: concrete thickness data. When the concrete thickness is large, the internal temperature gradient may be large, so sensors need to be set at different depths to monitor the temperature distribution; hydration heat release data. Hydration heat is the heat released by concrete during the hardening process. Its release rate and peak time will affect the temperature distribution inside the concrete. Therefore, more sensors should be set in areas where hydration heat release is faster; cooling water pipe data. If cooling water pipes are set in the concrete structure to reduce the internal temperature, sensors need to be set around the cooling water pipes and nearby areas to monitor the cooling effect; structural shape and size. The shape and size of the structure will affect the distribution of the temperature field. For example, the temperature in the corner area may be high due to poor heat conduction conditions, which requires special attention; construction conditions and environmental factors. Construction conditions (such as pouring speed, intermittent time, etc.) and environmental factors (such as ambient temperature, wind speed, etc.) will also affect the temperature distribution inside the concrete. Therefore, sensors should be set in vulnerable areas.

[0085] Step 10312, determining a monitoring position according to the basic data of the concrete;

[0086] Specifically, different monitoring positions need to be determined according to different basic data of concrete. For example, for the concrete thickness data in the basic data of concrete, when the concrete thickness is large, the internal temperature gradient may be large. Therefore, sensors need to be set at different depths to monitor the temperature distribution. These different depths are the corresponding monitoring positions.

[0087] For the hydration heat release data in the basic data of concrete, hydration heat is the heat released by concrete during the hardening process. Its release rate and peak time will affect the temperature distribution inside the concrete. More sensors should be installed in areas where hydration heat releases faster. These areas where hydration heat releases faster are the corresponding monitoring locations.

[0088] For the cooling water pipe data in the basic data of concrete, if cooling water pipes are installed in the concrete structure to reduce the internal temperature, sensors need to be installed around the cooling water pipes and nearby areas to monitor the cooling effect. The areas around these cooling water pipes and nearby areas are the corresponding monitoring locations.

[0089] For the structural shape and size in the basic data of concrete, the shape and size of the structure will affect the distribution of the temperature field. For example, the temperature in the corners may be higher due to poor heat conduction conditions, so special attention should be paid. These corners are the corresponding monitoring locations.

[0090] For the construction conditions and environmental factors in the basic data of concrete, construction conditions (such as pouring speed, intermittent time, etc.) and environmental factors (such as ambient temperature, wind speed, etc.) will also affect the temperature distribution inside the concrete. Therefore, sensors should be installed in susceptible areas, and these susceptible areas are the corresponding monitoring locations.

[0091] It should be noted that the monitoring position can be determined based on at least one basic data of concrete, or multiple monitoring positions can be determined based on all basic data of concrete, and selection can be made according to actual needs to improve the adaptability and flexibility of the method. In a specific embodiment, the monitoring positions include: the center of the concrete, different depth layers of the concrete (such as the top, middle, and bottom), around the cooling water pipe, corners and edge areas, and areas where large temperature changes are expected.

[0092] Step 10313, obtaining corresponding temperature data according to the monitoring position;

[0093] Specifically, the temperature data of the corresponding monitoring position is collected using a temperature sensor (such as a thermocouple or a fiber grating sensor) installed at the monitoring position.

[0094] Step 10314, obtaining field monitoring data based on the corresponding temperature data.

[0095] Specifically, the on-site monitoring data mainly include temperature data at different times at the corresponding monitoring locations. These temperature data cover the temperature changes at different depths and locations inside the concrete over a period of time.

[0096] Step 1032, extracting the on-site monitoring data to obtain a monitoring position and a monitoring temperature;

[0097] Specifically, the on-site monitoring data includes the temperature changes at the monitoring locations over a period of time. These monitoring locations and their corresponding temperature data at different times are extracted as monitoring locations and monitoring temperatures to facilitate subsequent comparison and verification with the data in the initial concrete temperature field.

[0098] Step 1033, extracting the initial concrete temperature field to obtain a first position and a first temperature;

[0099] Specifically, the initial concrete temperature field includes the temperature changes at different positions in the concrete structure over a period of time. The temperature data of these different positions and their corresponding time are extracted as the first position and the first temperature for subsequent comparison and verification with the position and temperature in the field monitoring data.

[0100] Step 1034: verify the first position and the first temperature according to the monitored position and the monitored temperature to obtain a verification result.

[0101] Specifically, the temperature change and specific temperature data of the same position in the initial concrete temperature field are compared and verified with the on-site monitoring data to obtain the verification result. The verification result includes the comparison results of the on-site monitoring data and the temperature data at different positions and their corresponding different times in the initial concrete temperature field, as well as the comparison results of the temperature change trends at different positions within a time period.

[0102] In an optional embodiment of the present invention, step 104 includes:

[0103] Step 1041, adjusting the input parameters in the concrete finite element model according to the verification result to obtain adjusted input parameters;

[0104] Specifically, if the comparison results of temperature data at different locations and their corresponding different times in the verification results are inconsistent, or the comparison results of temperature change trends at different locations within a time period are inconsistent, it is necessary to adjust and modify the input parameters in the concrete finite element model, where the input parameters include construction data and temperature field boundary conditions, mainly to modify the construction data and temperature field boundary conditions, such as verifying whether the thermal parameters such as thermal conductivity and specific heat capacity of concrete are accurate. If they are inconsistent with the measured data, these parameters should be adjusted to more accurately reflect the thermal properties of concrete, and check whether the temperature field boundary conditions such as ambient temperature, wind speed, and thermal convection coefficient are set reasonably. In addition, the adiabatic temperature rise of concrete (in the absence of any heat dissipation conditions, that is, in the adiabatic state, all the heat generated by cement hydration is converted into a temperature rise value, generally less than 5°C) and the convective heat transfer coefficient between concrete and air can be adjusted. The verification results are made consistent through corresponding adjustments, which improves the accuracy of the target concrete temperature field obtained by the subsequent use of the concrete finite element model.

[0105] Step 1042, adjusting the mesh density in the concrete finite element model according to the verification result to obtain an adjusted mesh density;

[0106] Specifically, if the first temperature corresponding to a specific area in the first position in the verification result is inconsistent with the monitored temperature collected on site, it may be due to insufficient mesh density. The mesh density in this area in the concrete finite element model can be increased to improve the resolution and accuracy of the model.

[0107] Step 1043, adjusting the model parameters in the concrete finite element model according to the verification result to obtain adjusted model parameters;

[0108] Specifically, if the model ignores the nonlinear thermal behavior of concrete (such as thermal-stress coupling effects), and field monitoring data show that these effects are significant, the corresponding nonlinear assumptions should be introduced into the model as model parameters to participate in the calculation of the temperature field of large-volume concrete.

[0109] Step 1044: obtaining an adjusted concrete finite element model according to the adjusted input parameters, the adjusted grid density and the adjusted model parameters.

[0110] Specifically, after adjusting the input parameters, mesh density and model parameters, an adjusted concrete finite element model is obtained.

[0111] In an optional embodiment of the present invention, step 105 includes:

[0112] Step 1051, receiving target construction data and target temperature field boundary conditions;

[0113] Specifically, the target construction data includes construction stage data and construction time data, the target temperature field boundary conditions include environmental data and insulation data, and the target construction data and target temperature field boundary conditions are the basic data that users need to determine the temperature field of large-volume concrete. Based on these basic data, the target concrete temperature field required by the user can be obtained.

[0114] Step 1052: input the target construction data and the target temperature field boundary conditions into the adjusted concrete finite element model to obtain the target concrete temperature field.

[0115] Specifically, the target construction data and the target temperature field boundary conditions are converted into a data format that can be processed by the model, and then these data and conditions are input into the adjusted concrete finite element model for calculation, so as to obtain an accurate target concrete temperature field.

[0116] A specific embodiment of the method for determining the temperature field of mass concrete proposed in the embodiment of the present invention includes:

[0117] Step 111, obtaining data.

[0118] The geometric model is the basis of finite element analysis. It is constructed according to the actual shape and size of the concrete structure. The establishment of the geometric model needs to accurately reflect the various details of the concrete structure, such as shape, size, holes, cracks, etc. Therefore, it is necessary to obtain relevant data of concrete, such as the shape, size (length, width, height, volume, etc.), holes, cracks, etc. of the concrete. Use these data and 3D modeling software to build a concrete geometric model.

[0119] Material parameters are key data describing the mechanical properties of concrete, which directly affect the accuracy of the finite element analysis results. In the present embodiment, material parameters include elastic modulus, Poisson's ratio, density, thermal conductivity, specific heat capacity, shear modulus, compressive strength and tensile strength, etc. Boundary conditions and loads are indispensable parts in finite element analysis, which define the constraints and external forces of the concrete structure. Boundary conditions may include fixed constraints, hinge constraints, sliding constraints, etc., which are used to simulate the interaction between the concrete structure and the surrounding environment or other components. Loads include static loads (such as gravity, wind loads, snow loads, etc.) and dynamic loads (such as earthquake loads, vehicle loads, etc.), which act on the concrete structure and cause the response of the structure. Model parameters may include material parameters, boundary conditions and loads, etc., which are loaded into the concrete geometric model or the concrete finite element model to provide a data basis for the determination of the subsequent temperature field.

[0120] The concrete geometric model is discretized into a finite number of small units through meshing to form a concrete finite element model. These units are the basic units of finite element analysis. The quality of meshing directly affects the accuracy and calculation efficiency of finite element analysis results. When meshing, factors such as the shape, size, and density of the unit need to be considered to ensure the accuracy and reliability of the analysis results.

[0121] In order to accurately calculate the temperature field, it is necessary to obtain data from different construction stages, such as the construction stage and the corresponding start and end time. It is also necessary to obtain environmental data such as external ambient temperature, solar radiation, wind speed, humidity, as well as insulation data such as the use of cooling water pipes, the coverage of insulation materials, and the concrete pouring speed and method. These data are used as inputs to the concrete finite element model to calculate the concrete temperature field.

[0122] Step 112, calculating the initial concrete temperature field.

[0123] In order to facilitate the processing of the concrete finite element model and improve the processing efficiency, it is first necessary to convert the construction data and the temperature field boundary conditions into a format that the model can process, and then input the converted construction data and the converted temperature field boundary conditions into the concrete finite element model, and use the finite element software to run the concrete finite element model to calculate the initial concrete temperature field. The initial concrete temperature field includes the temperature at different locations in the concrete structure at different times, as well as the temperature trend and distribution at different locations in different time periods.

[0124] Step 113, verifying the initial concrete temperature field.

[0125] The temperature sensors installed in the concrete are used to collect the temperature at different times at multiple monitoring locations as field monitoring data. Taking ultra-thick mass concrete as an example, the layout of its temperature sensors can be: multiple temperature measuring holes are arranged in the foundation slab according to a certain spacing (such as 6m plum blossom spacing), and multiple sensors (such as 5) are arranged in the same vertical direction, located at different depths of the concrete: 100-150mm from the upper surface (sensor A), 100-150mm from the lower surface (sensor B), the center point of the vertical direction of the concrete (sensor C), H / 4 from the lower surface (sensor D), H / 4 from the upper surface (sensor E), where H represents the thickness of the concrete at that location. The metal shell of the temperature sensor is fixed on the vertical support steel frame to ensure accurate positioning.

[0126] According to the collected on-site monitoring data, the temperatures of multiple monitoring positions at different times and the temperature trend distribution in different time periods can be obtained. For example, the temperature of monitoring position A at time t is 40°C and the temperature at time t+1 is 45°C; the temperature of monitoring position B at time t is 50°C and the temperature at time t+1 is 55°C, etc. According to the initial concrete temperature field, the temperatures of multiple first positions at different times and the temperature trend distribution in different time periods can be obtained, such as the temperature of the first position A at time t is 41°C and the temperature at time t+1 is 45°C; the temperature of the first position B at time t is 50°C and the temperature at time t+1 is 55°C, etc.

[0127] Monitoring position A and first position A belong to the same position, so by comparing the temperature of monitoring position A at time t of 40°C and the temperature of time t+1 of 45°C with the temperature of first position A at time t of 41°C and the temperature of time t+1 of 45°C, it can be obtained that there is a 1°C error between the temperature of first position A at time t of 41°C and the temperature of monitoring position A at time t of 40°C, which is within the expected error range. Therefore, the verification result of position A can be consistent. If the expected error is 0, the verification result of position A is inconsistent. The verification process of other positions and temperature trend distribution is similar and will not be repeated here.

[0128] Step 114, adjusting the concrete finite element model.

[0129] Verification results may include the following:

[0130] Inconsistent temperature field distribution trend: The temperature field distribution trend in the initial concrete temperature field is significantly different from the on-site monitoring data.

[0131] The temperature peak deviation is large: the temperature peak of the initial concrete temperature field is higher or lower than the measured data.

[0132] Abnormal temperature in specific areas: The temperature data of the initial concrete temperature field in some key areas (such as corners, around cooling water pipes, etc.) do not match the measured data.

[0133] According to the above comparison and verification results, the following steps can be taken to correct and adjust the finite element model:

[0134] (1) Review model assumptions and parameters. Check material parameters: verify whether the thermal parameters of concrete, such as thermal conductivity and specific heat capacity, are accurate. If they do not match the measured data, these parameters should be adjusted to more accurately reflect the thermal properties of concrete. Review boundary conditions: check whether the boundary conditions, such as ambient temperature, wind speed, and thermal convection coefficient, are set reasonably, consider the impact of changes in environmental factors on the model, and make corresponding adjustments.

[0135] (2) Mesh optimization. Mesh density adjustment: If the temperature prediction of the model in a specific area does not match the measured data, it may be due to insufficient mesh density. The mesh density in this area can be increased to improve the resolution and accuracy of the model. Mesh quality check: Ensure that the mesh quality is good and avoid distortion, twisting and other low-quality meshes, which will affect the calculation results of the model.

[0136] (3) Modify model assumptions. Consider nonlinear effects: If the model ignores the nonlinear thermal behavior of concrete (such as thermal stress coupling effect), and the measured data show that these effects are significant, then the corresponding nonlinear assumptions should be introduced into the model; Boundary condition adjustment: If the boundary condition setting is too simplified, resulting in inaccurate model prediction results, the boundary condition setting should be adjusted according to the actual situation. For example, consider the heat exchange mechanism between concrete and the surrounding environment, as well as the cooling effect of the internal cooling water pipe.

[0137] (4) Introducing measured data. Fusion of measured data: Using measured temperature data as the input or constraint of the model, combining the measured data with the model prediction results through data fusion technology to improve the accuracy of the model; Inversion analysis: Using measured data for inversion analysis to deduce more accurate model parameters such as material parameters or boundary conditions.

[0138] Step 115, calculating the target concrete temperature field.

[0139] According to user needs, such as the target construction data and target temperature field boundary conditions provided by the user, these data are converted into a format and input into the adjusted concrete finite element model to obtain a more accurate target concrete temperature field. Among them, the target construction data may include the foundation pouring stage, the wall pouring stage, and the top plate pouring stage, as well as the start and end time of the foundation pouring stage, the start and end time of the wall pouring stage, and the start and end time of the top plate pouring stage. The target temperature field boundary conditions include some basic data about the environment in which the concrete is located, such as the external ambient temperature, solar radiation, wind speed, humidity, as well as the use of cooling water pipes, the coverage of insulation materials, the speed and method of concrete pouring, etc.

[0140] The method for determining the temperature field of mass concrete proposed in the embodiment of the present invention calculates the target concrete temperature field by using the adjusted concrete finite element model, target construction data, and target temperature field boundary conditions. This method not only meets user needs, but also has a higher accuracy in the calculated temperature field of mass concrete.

[0141] like Figure 2 As shown, the embodiment of the present invention provides a device 200 for determining a temperature field of a large volume of concrete, comprising:

[0142] An acquisition module 201 is used to acquire a concrete finite element model, construction data and temperature field boundary conditions;

[0143] A first processing module 202 is used to obtain an initial concrete temperature field according to the concrete finite element model, the construction data and the temperature field boundary conditions;

[0144] The second processing module 203 is used to verify the initial concrete temperature field according to the acquired on-site monitoring data to obtain a verification result;

[0145] A third processing module 204 is used to adjust the concrete finite element model according to the verification result to obtain an adjusted concrete finite element model;

[0146] The fourth processing module 205 is used to obtain a target concrete temperature field according to the adjusted concrete finite element model.

[0147] Optionally, obtain the concrete finite element model, construction data and temperature field boundary conditions, including:

[0148] Obtaining concrete geometric model and model parameters;

[0149] Determining a concrete finite element model according to the concrete geometric model and the model parameters;

[0150] Obtain construction phase data and construction time data;

[0151] Determining construction data according to the construction stage data and the construction time data;

[0152] Obtain environmental data and insulation data;

[0153] The temperature field boundary conditions are determined according to the environmental data and the insulation data.

[0154] Optionally, obtaining an initial concrete temperature field according to the concrete finite element model, the construction data and the temperature field boundary conditions includes:

[0155] Convert the construction data and the temperature field boundary conditions according to a preset format to obtain converted construction data and converted temperature field boundary conditions;

[0156] The converted construction data and the converted temperature field boundary conditions are input into the concrete finite element model to obtain an initial concrete temperature field.

[0157] Optionally, the initial concrete temperature field is verified according to the acquired on-site monitoring data to obtain a verification result, including:

[0158] Obtaining on-site monitoring data;

[0159] Extracting the on-site monitoring data to obtain a monitoring position and a monitoring temperature;

[0160] Extracting the initial concrete temperature field to obtain a first position and a first temperature;

[0161] The first position and the first temperature are verified according to the monitored position and the monitored temperature to obtain a verification result.

[0162] Optionally, obtain on-site monitoring data, including:

[0163] Obtain basic data of concrete;

[0164] Determine the monitoring position according to the basic data of the concrete;

[0165] According to the monitoring position, corresponding temperature data is obtained;

[0166] The on-site monitoring data is obtained according to the corresponding temperature data.

[0167] Optionally, adjusting the concrete finite element model according to the verification result to obtain an adjusted concrete finite element model includes:

[0168] Adjusting the input parameters in the concrete finite element model according to the verification result to obtain adjusted input parameters;

[0169] Adjusting the mesh density in the concrete finite element model according to the verification result to obtain an adjusted mesh density;

[0170] Adjusting the model parameters in the concrete finite element model according to the verification result to obtain adjusted model parameters;

[0171] An adjusted concrete finite element model is obtained according to the adjusted input parameters, the adjusted grid density and the adjusted model parameters.

[0172] Optionally, obtaining a target concrete temperature field according to the adjusted concrete finite element model includes:

[0173] receiving target construction data and target temperature field boundary conditions;

[0174] The target construction data and the target temperature field boundary conditions are input into the adjusted concrete finite element model to obtain the target concrete temperature field.

[0175] The device for determining the temperature field of large-volume concrete proposed in the embodiment of the present invention obtains an initial concrete temperature field by acquiring a concrete finite element model, construction data and temperature field boundary conditions, verifies the initial concrete temperature field according to the acquired on-site monitoring data, adjusts the concrete finite element model according to the verification result, and obtains the target concrete temperature field using the adjusted concrete finite element model, thereby improving the flexibility and work efficiency in determining the temperature field of large-volume concrete.

[0176] 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.

[0177] 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.

[0178] 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.

[0179] 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.

[0180] 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 determining the temperature field of mass concrete, characterized in that: include: Obtain concrete finite element model, construction data and temperature field boundary conditions; Obtaining a first concrete temperature field according to the concrete finite element model, the construction data and the temperature field boundary conditions; Verifying the initial concrete temperature field according to the acquired on-site monitoring data to obtain a verification result; Adjusting the concrete finite element model according to the verification result to obtain an adjusted concrete finite element model; According to the adjusted concrete finite element model, a target concrete temperature field is obtained.

2. The method for determining the temperature field of mass concrete according to claim 1, characterized in that: Obtain concrete finite element models, construction data, and temperature field boundary conditions, including: Obtaining concrete geometric model and model parameters; Determining a concrete finite element model according to the concrete geometric model and the model parameters; Obtain construction phase data and construction time data; Determining construction data according to the construction stage data and the construction time data; Obtain environmental data and insulation data; The temperature field boundary conditions are determined according to the environmental data and the insulation data.

3. The method for determining the temperature field of mass concrete according to claim 1, characterized in that: According to the concrete finite element model, the construction data and the temperature field boundary conditions, an initial concrete temperature field is obtained, including: Convert the construction data and the temperature field boundary conditions according to a preset format to obtain converted construction data and converted temperature field boundary conditions; The converted construction data and the converted temperature field boundary conditions are input into the concrete finite element model to obtain an initial concrete temperature field.

4. The method for determining the temperature field of mass concrete according to claim 1, characterized in that: The initial concrete temperature field is verified according to the acquired on-site monitoring data to obtain verification results, including: Obtaining on-site monitoring data; Extracting the on-site monitoring data to obtain a monitoring position and a monitoring temperature; Extracting the initial concrete temperature field to obtain a first position and a first temperature; The first position and the first temperature are verified according to the monitored position and the monitored temperature to obtain a verification result.

5. The method for determining the temperature field of mass concrete according to claim 4, characterized in that: Obtain on-site monitoring data, including: Obtain basic data of concrete; Determine the monitoring position according to the basic data of the concrete; According to the monitoring position, corresponding temperature data is obtained; The on-site monitoring data is obtained according to the corresponding temperature data.

6. The method for determining the temperature field of mass concrete according to claim 1, characterized in that: The concrete finite element model is adjusted according to the verification result to obtain an adjusted concrete finite element model, including: Adjusting the input parameters in the concrete finite element model according to the verification result to obtain adjusted input parameters; Adjusting the mesh density in the concrete finite element model according to the verification result to obtain an adjusted mesh density; Adjusting the model parameters in the concrete finite element model according to the verification result to obtain adjusted model parameters; An adjusted concrete finite element model is obtained according to the adjusted input parameters, the adjusted grid density and the adjusted model parameters.

7. The method for determining the temperature field of mass concrete according to claim 1, characterized in that: According to the adjusted concrete finite element model, a target concrete temperature field is obtained, including: receiving target construction data and target temperature field boundary conditions; The target construction data and the target temperature field boundary conditions are input into the adjusted concrete finite element model to obtain the target concrete temperature field.

8. A device for determining the temperature field of mass concrete, characterized in that: include: Acquisition module, used to obtain concrete finite element model, construction data and temperature field boundary conditions; A first processing module is used to obtain an initial concrete temperature field according to the concrete finite element model, the construction data and the temperature field boundary conditions; The second processing module is used to verify the initial concrete temperature field according to the acquired on-site monitoring data to obtain a verification result; A third processing module is used to adjust the concrete finite element model according to the verification result to obtain an adjusted concrete finite element model; The fourth processing module is used to obtain a target concrete temperature field according to the adjusted concrete finite element model.

9. A computing device, 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, 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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