A roller compacted concrete temperature rise fitting inversion system and method under semi-adiabatic conditions

Abstract

The present application relates to a kind of semiadiabatic condition under roller compacted concrete temperature rise fitting inversion system and method, including semiadiabatic temperature rise model system, monitoring system and data information fitting inversion system, the semiadiabatic temperature rise model system and monitoring system are used to carry out heat preservation and temperature acquisition to concrete, the data information fitting inversion system is used to carry out fitting inversion to the data collected, by the simulation of semiadiabatic temperature rise model system to model, the technical problem that needs to be measured to the entire roller compacted concrete dam internal temperature is solved, with the technical effect of simplifying measurement process, improve measurement efficiency, by the analysis of measurement data to data information fitting inversion system, the technical problem that inversion accuracy is low is solved, with the technical effect of improving inversion calculation accuracy.

Description

Technical Field

[0001] This invention relates to the field of temperature rise fitting and inversion of roller-compacted concrete under semi-adiabatic conditions, specifically a system and method for temperature rise fitting and inversion of roller-compacted concrete under semi-adiabatic conditions. Background Technology

[0002] Compared to conventional concrete dams, roller-compacted concrete dams offer faster construction speeds, lower investment, greater safety and reliability, stronger adaptability, and are more environmentally friendly. Significant progress has been made in areas such as admixture selection, interlayer bonding, seepage prevention systems, and construction process quality testing, making it a widely adopted dam type. However, roller-compacted concrete is a dry-hard concrete with a slow cooling process, high heat generation in the later stages, and a large internal and external temperature difference, which can easily lead to surface cracks. Therefore, studying the temperature field distribution characteristics of roller-compacted concrete is of great significance for its gradation optimization and temperature control measures, and has good engineering application value. Traditional research on the temperature field of roller-compacted concrete faces the following technical problems:

[0003] 1. Direct measurement of roller-compacted concrete dams is costly and inconvenient for construction due to their large volume and the high cost of in-situ real-time monitoring of the temperature field.

[0004] 2. The use of model-based measurements, with their large geometric scale, affects the accuracy of the test results. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention proposes a system and method for fitting and inverting the temperature rise of roller-compacted concrete under semi-adiabatic conditions. This system infers the temperature rise of the entire roller-compacted concrete dam by analyzing measurement data from a local model.

[0006] A temperature rise fitting and inversion system for roller-compacted concrete under semi-insulated conditions includes a semi-insulated temperature rise model system, a monitoring system, and a data information fitting and inversion system. The semi-insulated temperature rise model system and the monitoring system are used for insulation and temperature acquisition of the concrete, and the data information fitting and inversion system is used for analysis of the acquired data.

[0007] Preferably, the semi-insulated temperature rise model system includes an outer shell, an inner shell, and an insulation layer. Both the outer shell and the inner shell are cubes. The inner shell is located inside the outer shell. The top covers of both the inner shell and the outer shell are removable. The top cover is provided with a through pipe for casting. An insulation layer is provided between the outer shell and the inner shell.

[0008] Preferably, the monitoring system includes a temperature sensor disposed in the inner shell, wherein the temperature sensor employs multi-point deployment for temperature measurement or single-point deployment for temperature measurement.

[0009] Preferably, the data information fitting and inversion system includes a data acquisition unit, a computer, and a display. The data acquisition unit is connected to the temperature sensor and the computer, and the computer is connected to the display.

[0010] Preferably, the method is characterized by including the following steps:

[0011] Step 1: Conduct a temperature rise model test of roller-compacted concrete using the semi-adiabatic temperature rise model system, and calculate the boundary conditions based on the temperature rise test results;

[0012] Step 2: Based on the calculated boundary conditions and combined with the temperature monitoring data at the center of the pouring space, the adiabatic temperature rise of the roller-compacted concrete is inverted using the data information fitting and inversion system.

[0013] Step 3: Based on the temperature rise inversion results of roller-compacted concrete under semi-adiabatic conditions, use a computer to fit the data using a double exponential function formula, and output the fitting results on the display.

[0014] Preferably, the specific implementation method of step 1 includes the following steps:

[0015] Step 11: Open the top cover of the outer shell and inner shell, fix the temperature sensor at the position to be measured using a bamboo stick, and connect the temperature sensor to the data acquisition device;

[0016] Step 12: Prepare roller-compacted concrete according to the gradation design requirements, and pour the prepared concrete mixture into the inner shell through the through pipe;

[0017] Step 13: Seal the seams between the outer shell, the inner shell, and the insulation layer;

[0018] Step 14: The temperature parameters during the concrete temperature rise process are measured by the temperature sensor and transmitted to the computer by the data acquisition device;

[0019] Step 15: Based on the measured data, the boundary conditions are calculated to obtain the surface heat dissipation coefficient and temperature boundary type. The formula for calculating the surface heat dissipation coefficient is: In the formula: Q is the surface heat dissipation, kJ / h; β is the surface heat dissipation coefficient, kJ / (m²). 2 ·d·℃); The average surface temperature is expressed in °C; T a Let be the temperature at the given boundary, in °C; and 'a' be the surface area, in m². 2 .

[0020] Preferably, step 2 is specifically implemented by including the following steps:

[0021] Step 21: According to the theory of heat conduction, the three-dimensional unsteady temperature field T(x,y,z,t) of roller-compacted concrete in region R should satisfy the following equation:

[0022] (2) Based on the surface heat dissipation coefficient and the boundary conditions, and according to the variational principle, the formula is obtained by adding a correction coefficient α to the functional formula:

[0023] Where: c is the specific heat capacity, J / (kg·℃); ρ is the density, kg / m3; λ is the thermal conductivity, W / (m·h); β is the surface heat dissipation coefficient, kJ / (m2·d·℃); θ is the adiabatic temperature rise of concrete, ℃; t is the concrete pouring time, h; T a Let be the air temperature at the given boundary, in °C; for a short side dimension of the roller-compacted concrete model < 800 mm, the correction factor α is 0.05; for a short side dimension of the roller-compacted concrete model 800 mm ≤ δ < 1200 mm, the correction factor α is 0.08; for a short side dimension of the roller-compacted concrete model ≥ 1200 mm, the correction factor α is 0.1; x is the abscissa of the three-dimensional coordinates of the temperature field sensor location on the plane; y is the ordinate of the three-dimensional coordinates of the temperature field sensor location on the plane; z is the elevation coordinate of the three-dimensional coordinates of the temperature field sensor location.

[0024] Step 22: The minimum problem of the functional f(T) is solved using numerical analytical methods. The solution domain R is divided into a finite number of non-overlapping elements. The temperature and rate of temperature change at any point within each element are represented by shape function [F] interpolation. T e (x,y,z,t)=[F]{T} e (4)

[0025]

[0026] The minimum condition of the functional f(T) can be expressed as: Therefore, the equation can be derived: Among them, H ij Q ij P ij Calculated by interpolation of shape function [F]

[0027]

[0028]

[0029]

[0030] Step 23: By using model tests to determine the concrete pouring temperature (t=0), the center temperature of the pouring space, and the temperature boundary conditions, the temperature distribution of the roller-compacted concrete at different locations at time t can be obtained by solving the system of equations using a computer.

[0031] Preferably, step 3 is specifically implemented by including the following steps:

[0032] Step 31: Fit the concrete temperature rise inversion results using a double exponential function formula, the formula being:

[0033] In the formula: θ is the adiabatic temperature rise of concrete, °C; t is the pouring time of concrete, h; m1 and m2 are the heat dissipation coefficients of hydration of concrete, constants without units, which mainly affect the rate of temperature rise of concrete, i.e. the slope of the temperature rise curve. m1 and m2 have a decisive influence on the early slope and the later slope of the temperature rise curve, respectively; s is a coefficient, which is related to the concrete material.

[0034] Step 32: Output the results of the temperature rise fitting and inversion of roller-compacted concrete under semi-adiabatic conditions through the display.

[0035] In summary, the present invention has the following beneficial effects:

[0036] 1. The simulation of the semi-adiabatic temperature rise model system solves the technical problem of measuring the internal temperature of the entire roller-compacted concrete dam, which has the technical effect of simplifying the measurement process and improving measurement efficiency.

[0037] 2. By analyzing the measurement data through data information fitting and inversion system, the technical problem of low inversion accuracy is solved, and the technical effect of improving the accuracy of inversion calculation is achieved. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 This is a schematic diagram of the system architecture for fitting and inverting the temperature rise of roller-compacted concrete under semi-adiabatic conditions according to the present invention.

[0040] Figure 2 This is a flowchart of a method for fitting and inverting the temperature rise of roller-compacted concrete under semi-adiabatic conditions according to the present invention.

[0041] Figure 3This is a schematic diagram showing the distribution of temperature sensors in a specific embodiment of the present invention;

[0042] Figure 4 This is a comparison chart of the measured and calculated temperature rise values ​​of NY-1 in a specific embodiment of the present invention;

[0043] Figure 5 This is a comparison chart of the measured and calculated temperature rise values ​​of NY-2 in a specific embodiment of the present invention;

[0044] Figure 6 This is a comparison chart of the measured and calculated temperature rise values ​​of NY-3 in a specific embodiment of the present invention;

[0045] Figure 7 This is a comparison chart of the measured and calculated temperature rise values ​​of NY-4 in a specific embodiment of the present invention. Detailed Implementation

[0046] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0047] A temperature rise fitting and inversion system for roller-compacted concrete under semi-insulated conditions includes a semi-insulated temperature rise model system, a monitoring system, and a data information fitting and inversion system. The semi-insulated temperature rise model system and the monitoring system are used for insulation and temperature acquisition of the concrete, and the data information fitting and inversion system is used for analysis of the acquired data.

[0048] Preferably, the semi-insulated temperature rise model system includes an outer shell, an inner shell, and an insulation layer. Both the outer shell and the inner shell are cubes, with the inner shell located inside the outer shell. The top covers of both the inner shell and the outer shell are removable. The inner shell and the outer shell are assembled from plywood. The top cover is provided with a through pipe for casting. An insulation layer is provided between the outer shell and the inner shell. Specifically, the insulation layer can be made of thick polystyrene insulation board. This design solves the technical problems of temperature loss and measurement difficulties during the experiment, and has the technical effect of improving the integrity of the experiment and the accuracy of the data.

[0049] Preferably, the monitoring system includes a temperature sensor disposed in the inner shell. The temperature sensor employs multi-point or single-point temperature measurement. Specifically, the temperature sensor is an insertable resistance temperature sensor. The temperature sensor can be attached to the top of a bamboo stick, with the end of the bamboo stick attached to the bottom or side wall of the inner shell. This ensures that the temperature sensor is located at the geometric center or other temperature measurement position within the inner shell, solving the technical problem that the temperature sensor cannot measure the temperature at the center of the inner shell and improving the accuracy of subsequent temperature data analysis and processing.

[0050] Preferably, the data information fitting and inversion system includes a data acquisition unit, a computer, and a display. The data acquisition unit is connected to the temperature sensor and the computer, and the computer is connected to the display. Specifically, the data acquisition unit uses Data Taker, which has built-in dEX acquisition software. The computer processes the data acquired by the temperature sensor to realize the inversion reasoning of the temperature field of roller-compacted concrete, solving the technical problem of lacking data analysis equipment and improving the efficiency of subsequent data analysis.

[0051] Preferably, the method is characterized by including the following steps:

[0052] Step 1: Conduct a temperature rise model test of roller-compacted concrete using the semi-adiabatic temperature rise model system, and calculate the boundary conditions based on the temperature rise test results;

[0053] Step 2: Based on the calculated boundary conditions and combined with the temperature monitoring data at the center of the pouring space, the adiabatic temperature rise of the roller-compacted concrete is inverted using the data information fitting and inversion system.

[0054] Step 3: Based on the temperature rise inversion results of roller-compacted concrete under semi-adiabatic conditions, use a computer to fit the data using a double exponential function formula, and output the fitting results on the display.

[0055] Through the above steps, the temperature of roller-compacted concrete was measured, and subsequent data collection and analysis were achieved. This solved the technical problem of difficult system operation and improved the system's automation.

[0056] Preferably, the specific implementation method of step 1 includes the following steps:

[0057] Step 11: Open the top cover of the outer shell and inner shell, fix the temperature sensor at the position to be measured using a bamboo stick, and connect the temperature sensor to the data acquisition device;

[0058] Step 12: Prepare roller-compacted concrete according to the gradation design requirements, and pour the prepared concrete mixture into the inner shell through the through pipe;

[0059] Step 13: Seal the seams between the outer shell, the inner shell, and the insulation layer. Specifically, polyurethane foam is used to seal the seams.

[0060] Step 14: Measure the temperature parameters of the concrete during the temperature rise process using the temperature sensor. Specifically, the temperature can be measured once every 12 hours from 0d to 2d, and once every day from 2d to 16d, and the data can be transmitted to the computer via the data acquisition device.

[0061] Step 15: Based on the measured data, the boundary conditions are calculated to obtain the surface heat dissipation coefficient and temperature boundary type. The formula for calculating the surface heat dissipation coefficient is: In the formula: Q is the surface heat dissipation, kJ / h; β is the surface heat dissipation coefficient, kJ / (m²). 2 ·d·℃); The average surface temperature is expressed in °C; T a Let be the temperature at the given boundary, in °C; and 'a' be the surface area, in m². 2 This step solves the technical problem of measuring the heat dissipation coefficient and temperature boundary of concrete, and has the technical effect of improving data utilization.

[0062] Preferably, step 2 is specifically implemented by including the following steps:

[0063] Step 21: According to the theory of heat conduction, the three-dimensional unsteady temperature field T(x,y,z,t) of roller-compacted concrete in region R should satisfy the following equation: Based on the surface heat dissipation coefficient and the boundary conditions, and according to the variational principle, the formula is obtained by adding a correction coefficient α to the functional formula using the numerical analytical method:

[0064]

[0065] Where: c is the specific heat capacity, J / (kg·℃); ρ is the density, kg / m3; λ is the thermal conductivity, W / (m·h); β is the surface heat dissipation coefficient, kJ / (m2·d·℃); θ is the adiabatic temperature rise of concrete, ℃; t is the concrete pouring time, h; T aLet be the temperature at the given boundary, in °C; for a short side dimension of the roller-compacted concrete model < 800 mm, the correction factor α is 0.05; for a short side dimension of the roller-compacted concrete model 800 mm ≤ δ < 1200 mm, the correction factor α is 0.08; for a short side dimension of the roller-compacted concrete model ≥ 1200 mm, the correction factor α is 0.1. x is the abscissa of the temperature field sensor's location in the three-dimensional coordinate system on the plane; y is the ordinate of the temperature field sensor's location in the three-dimensional coordinate system on the plane; z is the elevation coordinate of the temperature field sensor's location in the three-dimensional coordinate system. The minimum value in the temperature field can be calculated using the above formula, thus optimizing the technical problem of difficult temperature field analysis.

[0066] Step 22: The minimum problem of the functional f(T) is solved using numerical analytical methods. The solution domain R is divided into a finite number of non-overlapping elements. The temperature and rate of temperature change at any point within each element are represented by shape function [F] interpolation. T e (x,y,z,t)=[F]{T} e (4)

[0067]

[0068] The minimum condition of the functional f(T) can be expressed as:

[0069] Therefore, the equation can be derived:

[0070] Among them, H ij Q ij P ij Calculated by interpolation of shape function [F]

[0071]

[0072]

[0073]

[0074] Step 23: By using model tests to determine the concrete pouring temperature (t=0), the center temperature of the pouring space, and the temperature boundary conditions, the temperature distribution of the roller-compacted concrete at different locations at time t can be obtained by solving the system of equations using a computer.

[0075] Step 2 solves the technical problem of difficulty in measuring the internal temperature of roller-compacted concrete at different times, and has the technical effect of improving the accuracy of system inversion.

[0076] Preferably, step 3 is specifically implemented by including the following steps:

[0077] Step 31: Fit the concrete temperature rise inversion results using a double exponential function formula, the formula being:

[0078] In the formula: θ is the adiabatic temperature rise of concrete, °C; t is the pouring time of concrete, h; m1 and m2 are the heat dissipation coefficients of hydration of concrete, constants without units, which mainly affect the rate of temperature rise of concrete, i.e. the slope of the temperature rise curve. m1 and m2 have a decisive influence on the early slope and the later slope of the temperature rise curve, respectively; s is a coefficient, which is related to the concrete material.

[0079] Step 32: Output the results of the temperature rise fitting and inversion of roller-compacted concrete under semi-adiabatic conditions through the display.

[0080] Step 3 solves the technical problem of difficulty in fitting inverted data and provides the technical effect of fitting and correcting inverted data.

[0081] To facilitate the explanation of the practical application effect of the present invention, this embodiment uses the system to fit and invert the temperature rise of roller-compacted concrete.

[0082] For details, please refer to Figure 3 A semi-insulated temperature rise fitting and inversion system for roller-compacted concrete under semi-insulated conditions includes a semi-insulated temperature rise model system, a monitoring system, and a data fitting and inversion system. The semi-insulated temperature rise model system includes an outer shell, an inner shell, and an insulation layer. The outer shell is composed of 30mm thick square plywood with a side length of 1320mm, forming an internal volume of 1260mm×1260mm×1260mm. The inner shell, located inside the outer shell, is also made of 30mm thick square plywood with a side length of 1060mm. The roller-compacted concrete model dimensions are 1000mm×1000mm×1000mm. A low-density polyethylene plastic film is laid on the inner shell plywood to prevent moisture from the concrete from entering and affecting the insulation effect. The insulation layer, located between the inner and outer shells, is made of 100mm thick polystyrene insulation board with a side length of 1260mm. The joints of the polystyrene insulation board are sealed with polyurethane foam insulation material.

[0083] The monitoring system uses an insertion-type Pt 100 resistance temperature sensor with a temperature measurement range of -100℃ to 100℃ and a measurement accuracy of ±0.1℃. The probe length is 8mm. The temperature sensors are distributed at multiple points, as shown in the schematic diagram. Figure 2C1 is located at the center of the inner shell casting space, 500mm from each boundary of the roller-compacted concrete model; C2 is located at the center of the right facade of the roller-compacted concrete, 20mm from the boundary of the inner shell; C3 is located at the center of the lower facade of the roller-compacted concrete, 20mm from the boundary of the inner shell. To ensure the accuracy of the test, the temperature sensors were calibrated first and fixed in the required positions with bamboo sticks to avoid displacement or damage.

[0084] The data fitting and inversion system includes a data acquisition unit, a computer, and a monitor. The data acquisition unit uses a DT 80 Data Taker with built-in dEX acquisition software, a sampling rate of 40Hz, a temperature measurement range of -45℃ to 70℃, and a temperature measurement accuracy of 0.15%. The data acquisition unit connects to the temperature sensor and the computer via wires, transmitting temperature monitoring data to the computer. Based on the obtained temperature monitoring data, the computer performs fitting and inversion on the semi-adiabatic temperature rise parameters of the concrete. The data inversion is performed using a numerical analytical method. The monitor is connected to the computer to visually output the fitting and inversion results.

[0085] Low-VC, vibratory and roller-compacted three-graded concrete (C9015W6F50) was used. The mix proportions for the semi-insulated temperature rise test of the concrete are shown in Table 1. 42.5 Portland cement and 42.5 slag Portland cement were used, and all tested physical and mechanical properties met the requirements of GB 175 "General Portland Cement". Grade II fly ash was used, and all tested physical and mechanical properties met the requirements of DL / T 5055 "Technical Specification for Fly Ash Admixture in Hydraulic Concrete". Processed diabase artificial aggregate was used, and all tested physical and mechanical properties met the requirements of DL / T 5144 "Specification for Construction of Hydraulic Concrete". Stone powder was produced indoors using a vibratory mill; by adjusting the optimal grinding scheme, stone powder meeting the test requirements was produced. Retarding high-efficiency water-reducing agent GK-4A and air-entraining agent GK-9A were used. Drinking water was used for mixing in the test.

[0086] Concrete mixture control indicators: VC value 0s~3s; air content 3%~5%; the prepared concrete mixture is poured into the inner shell in three layers through the through pipe of the semi-insulated temperature rise model, and the volume of each layer is roughly the same; after the pouring is completed, the top cover of the semi-insulated temperature rise model system is covered, and all joints are sealed.

[0087] Table 1. Mix proportions for temperature rise test of roller-compacted concrete under semi-insulated conditions (kg)

[0088]

[0089] Temperature parameters during the concrete temperature rise process were obtained using a Data Taker, and temperature monitoring data were transmitted to a computer. Observations were taken every 12 hours from 0d to 2d and every day from 2d to 16d. The temperature of the roller-compacted concrete entering the placement area is shown in Table 2.

[0090] Table 2. Placement temperature of roller-compacted concrete

[0091] Test number NY-1 NY-2 NY-3 NY-4 Warehouse entry temperature (°C) 22.2 22.9 23.7 21.5

[0092] Based on the test results of the semi-adiabatic temperature rise model system, the boundary conditions were calculated, and the surface heat dissipation coefficient and temperature boundary type were obtained, as shown in Table 3.

[0093] Table 3 Surface heat dissipation coefficient and temperature boundary type

[0094] parameter Upper facade lower facade Other facades <![CDATA[Surface heat transfer coefficient (kJ / m 2 ·d·°C)]]> 50 120 50 Temperature boundary Ambient temperature Ground temperature 26.6℃ Ambient temperature

[0095] By incorporating correction coefficients into the functional formulas under the conditions of a semi-adiabatic temperature rise model test, and using numerical analysis, the temperature and rate of temperature change at any point are expressed by shape function [F] interpolation. Based on the roller-compacted concrete placement temperature (t=0), temperature boundary conditions, and the center temperature of the pouring space (as shown in Table 4), the temperature distribution of roller-compacted concrete at different locations at time t can be obtained. To illustrate the reliability of the roller-compacted concrete temperature rise fitting inversion system and method under semi-adiabatic conditions, and to compare the model observation results and inversion results of concrete temperature rise, please refer to [reference needed]. Figure 4-7 .

[0096] Table 4. Center temperature of the space where roller-compacted concrete is poured (°C)

[0097] Age (d) NY-1 NY-2 NY-3 NY-4 0 22.2 22.9 23.7 21.5 0.5 23.8 27.2 26.1 22.3 1 28.6 32.3 30.9 25.9 1.5 30.3 34.6 32.9 27.4 2 31.3 35.6 33.9 28.7 3 32.3 36.0 34.6 30.3 4 32.6 35.9 34.6 31.0 5 32.6 35.3 34.2 31.3 6 32.3 34.6 33.9 31.2 7 32.2 34.0 33.4 31.1 8 31.9 33.4 33.0 30.9 9 31.6 32.8 32.6 30.7 10 31.4 32.2 32.2 30.4 11 31.0 31.6 31.7 30.1 12 30.7 31.1 31.4 30.0 13 30.5 30.6 31.0 29.5 14 30.2 30.1 30.6 29.3 15 29.9 29.7 30.2 28.9 16 29.6 29.4 29.9 28.7

[0098] The temperature rise inversion results of roller-compacted concrete were fitted using a double exponential function formula. The results are shown in Table 5 and can be used to analyze the influence of cement type, admixtures and other factors on the temperature rise of roller-compacted concrete.

[0099] Table 5. Inversion values ​​of thermodynamic parameters of roller-compacted concrete

[0100] serial number <![CDATA[Adiabatic temperature rise value θ0]]> Allocation coefficient S <![CDATA[Rate coefficient m1]]> <![CDATA[Rate coefficient m2]]> 1 25.50 0.24 0.91 0.113 2 25.47 0.58 0.962 0.086 3 27.80 0.43 0.858 0.064 4 29.07 0.33 0.795 0.025

[0101] Furthermore, any content not described in detail in this specification is existing technology known to those skilled in the art.

[0102] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

Claims

1. A fitting inversion method of a semiadiabatic condition roller compacted concrete temperature rise fitting inversion system, characterized in that, The semi-adiabatic roller compacted concrete temperature rise fitting inversion system comprises a semi-adiabatic temperature rise model system, a monitoring system and a data information fitting inversion system, the semi-adiabatic temperature rise model system and the monitoring system are used for temperature preservation and temperature collection of the concrete, the data information fitting inversion system is used for analyzing the collected data, and the fitting inversion method comprises the following steps: Step 1: using the semi-adiabatic temperature rise model system to carry out a roller compacted concrete temperature rise model test, and calculating the boundary conditions according to the temperature rise test results; Step 2: according to the boundary conditions, combining the temperature monitoring data at the center of the pouring space, and inversely calculating the adiabatic temperature rise of the roller compacted concrete through the data information fitting inversion system; The specific implementation method of step 2 comprises the following steps: Step 21: From the heat conduction theory, the three-dimensional unsteady temperature field of roller compacted concrete Within the region R, the equation should be satisfied: (2) By the surface heat dissipation coefficient and the boundary condition, according to the variational principle, a correction coefficient is added in the functional formula The formula is obtained: （3） Wherein: c is the specific heat capacity, J / (kg·℃); is the density, kg / m3; is the thermal conductivity, W / (m·h); is the surface heat dissipation coefficient, kJ / (m2·d·℃); is the adiabatic temperature rise of concrete, ℃; t is the pouring time of concrete, h; is the air temperature of the given boundary, ℃; the short side size of the roller compacted concrete model is <800 mm, the correction coefficient is 0.05; the short side size of the roller compacted concrete model is 800 mm≤ <1200 mm, the correction coefficient is 0.08; the short side size of the roller compacted concrete model is ≥1200 mm, the correction coefficient is 0.1, x is the horizontal coordinate in the plane of the three-dimensional coordinates of the position where the temperature field sensor is located; y is the vertical coordinate in the plane of the three-dimensional coordinates of the position where the temperature field sensor is located; z is the elevation coordinate of the position where the temperature field sensor is located; Step 22: Functional The minimum problem of the functional is solved by numerical analysis method. The solution region R is divided into a finite number of non-overlapping elements. The temperature and temperature rate of change at any point in each element are represented by shape functions [F]. （4） （5） Functional The minimum condition of the functional can be expressed as: (i =1,2,3…n) (6) Thus, the equation is derived: （7） wherein , , is interpolated from the shape function [F] （8） （9） （10）； Step 23: through the model test concrete storage temperature (t=0), the pouring space center temperature and the boundary conditions, the temperature distribution of the roller compacted concrete at time t at different positions can be obtained by solving the equation group through a computer; Step 3: according to the semi-adiabatic roller compacted concrete temperature rise inversion result, using a computer to fit a double exponential function formula, and outputting the fitting result through a display.

2. The fitting inversion method of a semiadiabatic roller compacted concrete temperature rise fitting inversion system according to claim 1, characterized in that, The specific implementation method of step 1 comprises the following steps: Step 11: opening the top covers of the outer shell and the inner shell, fixing the temperature sensor at the position to be measured through a bamboo stick, and connecting the temperature sensor with a data collector; Step 12: preparing roller compacted concrete according to the grading design requirements, and pouring the prepared concrete mixture into the inner shell through the penetrating pipeline; Step 13: sealing the joints between the outer shell, the inner shell and the heat preservation layer; Step 14: measuring the temperature parameters in the concrete temperature rise process through the temperature sensor, and transmitting the data to the computer through the data collector; Step 15: According to the measured data, the boundary condition is calculated to obtain the surface heat dissipation coefficient and the temperature boundary type, and the calculation formula of the surface heat dissipation coefficient is: (1) In the formula: is the surface heat dissipation, kJ / h; is the surface heat dissipation coefficient, kJ / (m 2 ·d·℃); is the average surface temperature, ℃; is the air temperature of the given boundary, ℃; is the surface area, m 2 .

3. The fitting inversion method of a semiadiabatic roller compacted concrete temperature rise fitting inversion system according to claim 1, characterized in that, The specific implementation method of step 3 comprises the following steps: Step 31: The concrete temperature rise inversion results are fitted by using a double exponential function formula, which is: (11) wherein: is the adiabatic temperature rise of the concrete, °C; t is the casting time of the concrete, h; m1, m2 are the hydration heat dissipation coefficients of the concrete, constants without units, mainly affecting the rate of the temperature rise of the concrete, i.e. the slope of the temperature rise curve, m1, m2 have decisive influence on the early slope and the late slope of the temperature rise curve, respectively; s is a coefficient, related to the concrete material; Step 32: outputting the result of the semi-adiabatic roller compacted concrete temperature rise fitting inversion through the display.

4. A semiadiabatic condition rolling compaction concrete temperature rise fitting inversion system, characterized in that, The semi-adiabatic temperature rise model system is suitable for the fitting inversion method of any one of claims 1-3, and comprises an outer shell, an inner shell and a heat preservation layer, the outer shell and the inner shell are both cubes, the inner shell is located inside the outer shell, the top covers of the inner shell and the outer shell are detachable, the top covers are provided with penetrating pipelines for pouring, and the heat preservation layer is arranged between the outer shell and the inner shell.

5. The system of claim 4, wherein, The monitoring system comprises temperature sensors arranged in the inner shell, and the temperature sensors adopt multi-point deployment temperature measurement or single-point deployment temperature measurement.

6. The system of claim 4, wherein, The data information fitting inversion system comprises a data collector, a computer and a display, the data collector is connected with the temperature sensors and the computer, and the computer is connected with the display.

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