Test method and device for temperature conduction and frost heave strain of concrete lined channels

Abstract

The present invention provides a testing method and device for temperature conduction and frost heave strain of a concrete lined channel, and relates to the technical field of low temperature testing of materials. The specific steps include: collecting temperature and strain change data inside the lined channel, constructing time-temperature and time-strain function expressions, and calculating their average change rate; according to the data such as the size, thermal conductivity and average temperature gradient of the lined channel, and training through a machine learning model, a corresponding expression is obtained; external environmental parameters are collected to generate environmental influence coefficients; combined with the temperature and strain influence coefficients, the average temperature change rate and the strain change rate are processed to obtain the true value, thereby accurately obtaining the true temperature and strain of the lined channel. The present invention not only comprehensively considers the influence of internal characteristics and external environment, but also realizes a comprehensive evaluation of the state of the concrete lined channel, and improves the monitoring accuracy of temperature conduction and frost heave strain of the lined channel.

Description

Technical Field

[0001] The invention relates to the technical field of low-temperature testing of materials, and in particular to a testing method and device for temperature conduction and frost heave strain of a concrete lined channel. Background Art

[0002] Concrete lined channels are widely used in water conservancy, drainage and irrigation systems and play an important role. As environmental conditions change, changes in temperature and strain inside the channel have a direct impact on the durability and safety of concrete. Among them, temperature changes will cause thermal expansion and contraction of concrete, while the frost heave effect in low temperature environments may cause structural damage, cracks, and even failure. Therefore, accurate monitoring of the temperature and frost heave strain inside concrete lined channels is of great significance to ensure their functions and extend their service life.

[0003] In the prior art, the temperature and strain results of the lined channel solved by using the linear relationship between temperature and time, and the linear relationship between strain and time are not accurate. The temperature and strain of the lined channel are related to the inherent properties of the material, and the inherent properties of the material will also change with time and environmental conditions. However, the prior art lacks consideration of the inherent properties of the material and external environmental variables in the model, such as thermal conductivity, thermal expansion coefficient, rainfall, heat flux density, and humidity. This leads to insufficient monitoring accuracy of temperature conduction and frost heave strain of the lined channel.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0005] The object of the present invention is to provide a method and device for testing temperature conduction and frost heave strain of a concrete lined channel, so as to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for testing temperature conduction and frost heave strain of a concrete lined channel, comprising the following specific steps:

[0008] S1. Using a temperature sensor to collect the temperature change of the lining channel in a time period t before the current moment, using the temperature change of the lining channel, constructing a time-temperature function expression, and obtaining the average temperature change rate of the lining channel in the time period t, using a strain gauge to collect the strain change of the lining channel in the time period t, and using the strain change of the lining channel to construct a time-strain function expression, and obtaining the average strain change rate in the time period t;

[0009] S2. Obtain the dimensions of the lining channel in the past, the thermal conductivity of the material and the average temperature gradient, use the dimensions, thermal conductivity and average temperature gradient of the lining channel as input, and the temperature influence coefficient as a label, train the channel temperature model, obtain the trained model, obtain the expression of the temperature influence coefficient of the lining channel, obtain the dimensions, temperature, thermal expansion coefficient and elastic modulus of the lining channel in the past, use the dimensions, temperature, thermal expansion coefficient and elastic modulus of the lining channel as input, and the strain influence coefficient as a label, train the channel strain model, obtain the trained model, and obtain the expression of the strain influence coefficient of the lining channel;

[0010] S3. Collect the current external environmental parameters of the concrete lined channel, including air humidity, heat flux density, rainfall and soil temperature, perform data processing on the collected external environmental parameters, and generate a first environmental impact coefficient and a second environmental impact coefficient;

[0011] S4. Input the size of the current lining channel, the thermal conductivity of the material and the average temperature gradient into the channel temperature model to obtain the temperature influence coefficient of the current lining channel, perform data processing on the temperature influence coefficient of the current lining channel, the first environmental influence coefficient and the average temperature change rate of the lining channel to generate the true value of the average temperature change rate of the lining channel, input the size, temperature, thermal expansion coefficient and elastic modulus of the current lining channel into the channel strain model to obtain the strain influence coefficient of the current lining channel, perform data processing on the strain influence coefficient of the current lining channel, the second environmental influence coefficient and the average strain change rate to generate the true value of the average strain change rate;

[0012] S5. Using the time-temperature function expression, according to the true value of the temperature change rate of the lining channel, the true temperature of the lining channel is obtained; using the time-frost heave strain function expression, according to the true value of the average strain change rate, the true strain of the lining channel is obtained.

[0013] Furthermore, the expression of the temperature influence coefficient of the lined channel is obtained as follows:

[0014] ;

[0015] ;

[0016] in, is the temperature influence coefficient, is the length of the lined channel, is the width of the lined channel, is the thickness of the channel lining, is the volume of the lined channel, is the thermal conductivity of the material, is the average temperature gradient of the material, is the bias term, is the weight coefficient of the volume of the lined channel, is the weight coefficient of the product of the thermal conductivity of the material and the average temperature gradient, is the coefficient of the logarithmic function, which is used to adjust the slope of the logarithmic function curve. The value range is between 0.1 and 10. , .

[0017] Furthermore, the expression for obtaining the strain influence coefficient of the lined channel is as follows:

[0018] ;

[0019] ;

[0020] in, is the strain influence coefficient, is the strain of the channel lining, is the current channel lining temperature, is the thermal expansion coefficient of the material, is the elastic modulus of the material, is the weight coefficient of the thermal expansion coefficient of the material, is the weight coefficient of the elastic modulus of the material, , are offsets, , .

[0021] Furthermore, the collected air humidity, heat flux, rainfall and soil temperature are processed to generate the first environmental impact coefficient and the second environmental impact coefficient according to the following formula:

[0022] ;

[0023] ;

[0024] in, is the first environmental impact coefficient, is the second environmental impact coefficient, is the air humidity, is the heat flux density, is the rainfall, is the soil temperature, is the weight coefficient of air humidity, is the weight coefficient of the product of heat flux density and air humidity, is the weight coefficient of rainfall, is the weight coefficient of soil temperature, , .

[0025] Furthermore, the true values ​​of the average temperature change rate and the average strain change rate of the lining channel are obtained according to the following formula:

[0026] ;

[0027] ;

[0028] in, is the true value of the average temperature change rate of the lined channel, is the true value of the average strain rate of the lining channel, is the temperature influence coefficient, is the strain influence coefficient, is the weight coefficient of the temperature influence coefficient, is the weight coefficient of the first environmental impact coefficient, is the weight coefficient of the strain influence coefficient, is the weight coefficient of the second environmental impact coefficient, , , , .

[0029] Furthermore, the true temperature and true strain of the lining channel are obtained according to the following formula:

[0030] ;

[0031] ;

[0032] in, is the actual temperature of the lined channel, is the true strain of the lining channel, is the time interval from the initial moment to the final moment, is the temperature at the initial moment of time period t, is the strain at the initial moment of time period t.

[0033] A test device for temperature conduction and frost heave strain of a concrete lined channel, the device is used to perform any of the above-mentioned test methods for temperature conduction and frost heave strain of a concrete lined channel, comprising:

[0034] The change rate calculation module is used to collect the temperature change of the lining channel within the time period t before the current moment through the temperature sensor, and use the temperature change of the lining channel to construct a time-temperature function expression to obtain the average temperature change rate of the lining channel within the time period t, collect the strain change of the lining channel within the time period t through the strain measuring device, and use the strain change of the lining channel to construct a time-strain function expression to obtain the average strain change rate within the time period t;

[0035] The model building module is used to obtain the size of the lining channel in the past, the thermal conductivity of the material and the average temperature gradient, take the size of the lining channel, the thermal conductivity and the average temperature gradient as input, and the temperature influence coefficient as a label, train the channel temperature model, obtain the model after the training is completed, obtain the expression of the temperature influence coefficient of the lining channel, obtain the size, temperature, thermal expansion coefficient and elastic modulus of the lining channel in the past, take the size, temperature, thermal expansion coefficient and elastic modulus of the lining channel as input, and the strain influence coefficient as a label, train the channel strain model, obtain the model after the training is completed, and obtain the expression of the strain influence coefficient of the lining channel;

[0036] The first data processing module is used to collect the current external environmental parameters of the concrete lined channel, including air humidity, heat flux density, rainfall and soil temperature, and perform data processing on the collected external environmental parameters to generate a first environmental impact coefficient and a second environmental impact coefficient;

[0037] The second data processing module is used to input the size of the current lining channel, the thermal conductivity of the material and the average temperature gradient into the channel temperature model, obtain the temperature influence coefficient of the current lining channel, perform data processing on the temperature influence coefficient of the current lining channel, the first environmental influence coefficient and the average temperature change rate of the lining channel, generate the true value of the average temperature change rate of the lining channel, input the size, temperature, thermal expansion coefficient and elastic modulus of the current lining channel into the channel strain model, obtain the strain influence coefficient of the current lining channel, perform data processing on the strain influence coefficient of the current lining channel, the second environmental influence coefficient and the average strain change rate, and generate the true value of the average strain change rate;

[0038] The correction module is used to obtain the real temperature of the lined channel according to the real value of the temperature change rate of the lined channel using the time-temperature function expression, and to obtain the real strain of the lined channel according to the real value of the average strain change rate using the time-frost heave strain function expression.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] The present invention combines a temperature sensor and a strain meter to collect temperature and strain data in real time, and adopts time-temperature and time-strain function expressions to effectively capture the dynamic changes of temperature and strain. The inherent properties of the material (thermal conductivity and thermal expansion coefficient) are introduced into the model, so that the model can better adapt to the dynamic characteristics of material properties changing with time and environment, and fully considers external environmental parameters (air humidity, heat flux density, rainfall and soil temperature). By generating environmental impact coefficients, the model can fully reflect the impact of environmental changes on the temperature and strain of the concrete lined channel. Machine learning is used to train the channel temperature and strain model, and the dynamic update of the model is realized based on previous data and experimental results, which improves the adaptability of the model, can effectively cope with different environmental conditions and changes in material properties, generates real temperature change rate and strain change rate through data processing, and derives the real temperature and strain inside the lined channel in combination with the function expression, thereby improving the monitoring accuracy of temperature conduction and frost heave strain of the lined channel. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a schematic diagram of the overall method flow of the present invention;

[0042] Figure 2 This is a block diagram of the module composition of the present invention. DETAILED DESCRIPTION

[0043] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0044] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0045] Example:

[0046] See also Figure 1 , the present invention provides a technical solution:

[0047] A method for testing temperature conduction and frost heave strain of a concrete lined channel, comprising the following specific steps:

[0048] S1. Using a temperature sensor to collect the temperature change of the lining channel in a time period t before the current moment, using the temperature change of the lining channel, constructing a time-temperature function expression, and obtaining the average temperature change rate of the lining channel in the time period t, using a strain gauge to collect the strain change of the lining channel in the time period t, and using the strain change of the lining channel to construct a time-strain function expression, and obtaining the average strain change rate in the time period t;

[0049] S2. Obtain the dimensions of the previous lining channel, the thermal conductivity of the material and the average temperature gradient, and obtain the temperature influence coefficient through experiments. Take the dimensions, thermal conductivity and average temperature gradient of the lining channel as inputs and the temperature influence coefficient as a label to train the channel temperature model, obtain the trained model, obtain the expression of the temperature influence coefficient of the lining channel, obtain the dimensions, temperature, thermal expansion coefficient and elastic modulus of the previous lining channel, and obtain the strain influence coefficient through experiments. Take the dimensions, temperature, thermal expansion coefficient and elastic modulus of the lining channel as inputs and the strain influence coefficient as a label to train the channel strain model, obtain the trained model, and obtain the expression of the strain influence coefficient of the lining channel;

[0050] S3. Collect the current external environmental parameters of the concrete lined channel, including air humidity, heat flux density, rainfall and soil temperature, perform data processing on the collected external environmental parameters, and generate a first environmental impact coefficient and a second environmental impact coefficient;

[0051] S4. Input the size of the current lining channel, the thermal conductivity of the material and the average temperature gradient into the channel temperature model to obtain the temperature influence coefficient of the current lining channel, perform data processing on the temperature influence coefficient of the current lining channel, the first environmental influence coefficient and the average temperature change rate of the lining channel to generate the true value of the average temperature change rate of the lining channel, input the size, temperature, thermal expansion coefficient and elastic modulus of the current lining channel into the channel strain model to obtain the strain influence coefficient of the current lining channel, perform data processing on the strain influence coefficient of the current lining channel, the second environmental influence coefficient and the average strain change rate to generate the true value of the average strain change rate;

[0052] S5. Using the time-temperature function expression, according to the true value of the temperature change rate of the lining channel, the true temperature of the lining channel is obtained; using the time-frost heave strain function expression, according to the true value of the average strain change rate, the true strain of the lining channel is obtained.

[0053] Based on the above embodiment, the dimensions of the lining channel include length, width and thickness, and the length, width, thickness, thermal conductivity, temperature gradient, thermal expansion coefficient of the material, elastic modulus, air humidity, heat flux density, rainfall and soil temperature are collected as follows:

[0054] Measure the length, width and thickness of the lined channel using a tape measure or calipers;

[0055] The thermal conductivity of materials is measured by a thermal conductivity meter or a heat flow meter, a measuring instrument;

[0056] Place thermocouples or infrared thermometers at different locations on the lined channel and record temperature changes to calculate the temperature gradient;

[0057] Use a thermal expansion coefficient meter or dilatometer to measure the thermal expansion coefficient of the material;

[0058] Use material mechanical properties testing equipment such as tensile testing machine, compression testing machine or bending testing machine to measure the elastic modulus of the material;

[0059] Use digital humidity sensors to measure air humidity in lined channels;

[0060] Use heat flux sensors to measure the heat flux density of the lined channel;

[0061] Using rain gauges, measure rainfall in lined channels;

[0062] Using a soil temperature sensor, measure the soil temperature of the canal lining.

[0063] On the basis of the above embodiment, a time-temperature function expression is constructed to obtain the average temperature change rate of the lined channel in the time period t, according to the following formula:

[0064] ;

[0065] in, is the average temperature change rate of the lined channel during the time period t, is the temperature at the initial moment of time period t, is the temperature at the end of time period t, is the time interval from the initial moment to the final moment.

[0066] On the basis of the above embodiment, a time-strain function expression is constructed to obtain the average strain change rate in the time period t, according to the following formula:

[0067] ;

[0068] in, is the average strain rate of the lining channel during the time period t, is the strain at the initial moment of time period t, is the strain at the final moment of time period t.

[0069] On the basis of the above embodiments, the channel temperature model and the channel strain model both adopt a convolutional neural network model, and the convolutional neural network model is composed of a deep neural network based on a multilayer perceptron. The deep neural network of the multilayer perceptron includes an input layer, a first hidden layer, a second hidden layer, a third hidden layer and an output layer. The first hidden layer, the second hidden layer and the third hidden layer all have at least two neurons, and all use ReLU as an activation function.

[0070] In this embodiment, for the channel temperature model, the input features of the deep neural network of the multilayer perceptron include: the size of the lining channel, the thermal conductivity and the average temperature gradient, three features;

[0071] For the channel strain model, the input features of the deep neural network of the multilayer perceptron include four features: the size of the lining channel, the temperature, the thermal expansion coefficient and the elastic modulus of the material.

[0072] For the channel temperature model, the structure of the deep neural network of the multilayer perceptron is:

[0073] Input layer: receives input of 3 features;

[0074] The first hidden layer has 128 neurons and uses ReLU as the activation function.

[0075] The second hidden layer has 256 neurons and also uses the ReLU activation function.

[0076] The third hidden layer has 128 neurons and uses the ReLU activation function.

[0077] Output layer: has a single neuron, temperature influence coefficient.

[0078] For the channel strain model, the structure of the deep neural network of the multilayer perceptron is:

[0079] Input layer: receives input of 4 features;

[0080] The first hidden layer has 128 neurons and uses ReLU as the activation function.

[0081] The second hidden layer has 256 neurons and also uses the ReLU activation function.

[0082] The third hidden layer has 128 neurons and uses the ReLU activation function.

[0083] Output layer: has a single neuron, strain influence coefficient.

[0084] The process of training the channel temperature model is as follows:

[0085] Based on the dimensions of the previous lining channel, the thermal conductivity of the material and the average temperature gradient, the corresponding temperature influence coefficient is evaluated by the expert group;

[0086] The size of the lining channel, the thermal conductivity of the material and the average temperature gradient are used as input, and the corresponding temperature influence coefficient is used as the output label for training. The mean square error is used as the loss function. When the mean square error is When it is within the range, the training of the channel temperature model is completed.

[0087] The process of training the channel strain model is as follows:

[0088] According to the size, temperature, thermal expansion coefficient and elastic modulus of the previous lining channel, the expert group shall assess the corresponding strain influence coefficient;

[0089] The size, temperature, thermal expansion coefficient and elastic modulus of the lining channel are used as input, and the corresponding strain influence coefficient is used as the output label for training. The mean square error is used as the loss function. When it is within the range, the training of the channel strain model is completed.

[0090] Based on the above embodiment, the expression of the temperature influence coefficient of the lined channel is obtained as follows:

[0091] ;

[0092] ;

[0093] in, is the temperature influence coefficient, is the length of the lined channel, is the width of the lined channel, is the thickness of the channel lining, is the volume of the lined channel, is the thermal conductivity of the material, is the average temperature gradient of the material, is the bias term, is the weight coefficient of the volume of the lined channel, is the weight coefficient of the product of the thermal conductivity of the material and the average temperature gradient, is the coefficient of the logarithmic function, which is used to adjust the slope of the logarithmic function curve. The value range is between 0.1 and 10.

[0094] Since the dimensions of lined channels usually involve changes in multiple dimensions, such as length ,width and thickness There are complex correlations between these dimensions. The use of logarithmic functions can transform multi-scale changes into linear relationships, making it easier to analyze and model. There is a power law relationship between the size of the lining channel and the temperature data. The logarithmic function is the inverse operation of the power law function, which can transform the power law relationship into a linear relationship, making it easier to analyze and understand. Therefore, the volume of the lining channel is expressed in logarithmic form. and temperature influence coefficient The functional relationship between them.

[0095] According to the basic principle of heat conduction, the change of temperature during heat conduction is related to the thermal conductivity. and the average temperature gradient There is an exponential relationship between them. According to Fourier's law of heat conduction, the thermal conductivity With the average temperature gradient The product of determines the heat transfer rate. Therefore, the use of exponential function can better reflect the nonlinear characteristics of the heat conduction process;

[0096] Average temperature gradient The effect of the change on temperature is nonlinear. When the average temperature gradient is small, the temperature change is relatively small; When the value is larger, the temperature change will increase rapidly. The characteristic of the exponential function is that as the independent variable increases, the function value increases exponentially, which can effectively describe the average temperature gradient. The nonlinear effect on temperature changes. Therefore, the thermal conductivity is expressed in the form of an exponential With the average temperature gradient The product of and the temperature influence coefficient The functional relationship between them.

[0097] Therefore, the temperature influence coefficient is expressed in the form of a combination of logarithmic function and exponential function: It is a function of the volume of the lined channel, the thermal conductivity of the material, and the average temperature gradient.

[0098] Volume of lined channel represents the size of the channel. Changes in size will directly affect the temperature. For example, when the volume of the lining channel As it increases, more material absorbs and stores heat, which reduces the temperature. The effect of changes in temperature is very obvious.

[0099] Thermal conductivity and the average temperature gradient The product represents the thermal conductivity of the material and the temperature difference. The effects of these two factors on temperature are relatively complex and require heat transfer through the heat conduction process. Although high thermal conductivity and large temperature gradient will increase the rate of temperature change, their effects are relatively indirect and require consideration of factors such as heat conduction path and heat transfer medium.

[0100] In summary, setting , without the influence of other parameters, set .

[0101] Based on the above embodiment, the expression for obtaining the strain influence coefficient of the lining channel is as follows:

[0102] ;

[0103] ;

[0104] in, is the strain influence coefficient, is the strain of the channel lining, is the current channel lining temperature, is the thermal expansion coefficient of the material, is the elastic modulus of the material, is the weight coefficient of the thermal expansion coefficient of the material, is the weight coefficient of the elastic modulus of the material, , All are offsets.

[0105] Due to the strain effect coefficient and strain ,temperature There is a linear relationship between the strain of the lined channel and the volume of the lined channel. , thermal expansion coefficient and the elastic modulus of the material Therefore, the above function can be used to characterize the strain influence coefficient and strain ,temperature ,volume , thermal expansion coefficient , elastic modulus of the material The functional relationship between them.

[0106] Coefficient of thermal expansion of the material and temperature There is also a functional relationship between them, and the relationship is different in different temperature ranges.

[0107] Due to volume Directly affects the overall properties of the material. Under the same environmental conditions, a larger volume may result in more significant temperature changes and strain responses due to the The change of will affect the stress distribution inside the material, so its influence on strain is the most significant.

[0108] Coefficient of thermal expansion It indicates the ability of a material to expand when the temperature changes. Although it directly affects the thermal expansion and strain of the material, its influence is usually lower than that of the volume , because the thermal expansion coefficient It is an inherent property of the material, and its actual effect on strain is constrained by many factors such as volume, temperature changes, and the physical state of the material.

[0109] Elastic modulus Describes the material's ability to resist deformation, although the elastic modulus Affects the strain of a material when it is subjected to stress, but plays a relatively small role in deformation caused by thermal expansion and other environmental factors. Generally speaking, the elastic modulus It mainly affects the elastic deformation of the material under external force, while the thermal strain under temperature change is mainly determined by the thermal expansion coefficient. Decide.

[0110] In summary, setting , without the influence of other parameters, set .

[0111] On the basis of the above embodiment, the collected air humidity, heat flux, rainfall and soil temperature are processed to generate the first environmental impact coefficient and the second environmental impact coefficient according to the following formula:

[0112] ;

[0113] ;

[0114] in, is the first environmental impact coefficient, is the second environmental impact coefficient, is the air humidity, is the heat flux density, is the rainfall, is the soil temperature, is the weight coefficient of air humidity, is the weight coefficient of the product of heat flux density and air humidity, is the weight coefficient of rainfall, is the weight coefficient of soil temperature.

[0115] Due to humidity The effect on the environmental impact coefficient is not linear. That is, humidity The increase in humidity affects temperature and strain in a nonlinear way. By introducing a square term, this nonlinear relationship can be better reflected. At a certain level, the impact can be significantly increased and the square term can reflect this increased effect, for example leading to greater heat accumulation or more significant expansion problems under high humidity conditions.

[0116] humidity and heat flux There may be interactions between the two factors, that is, when the two factors work together, their combined effect is different from the effect when they act separately. For example, under high humidity conditions, the effect of heat flow on the environment will be more complicated because humidity affects the conduction and storage of heat.

[0117] In many environmental conditions, humidity and heat flux Often they are related to each other. For example, heat is transferred differently in a high humidity environment than in a dry environment, so considering the interaction of these two factors can make the model more realistic.

[0118] Within a certain range of values, rainfall , soil temperature It is linearly related to temperature or strain, and the rainfall can be represented by a linear scale , soil temperature Functional relationship of temperature or strain.

[0119] In summary, the above function is used to characterize air humidity , heat flux , rainfall , soil temperature and the first environmental impact coefficient relationship, and air humidity , heat flux , rainfall , soil temperature and the second environmental impact coefficient relationship.

[0120] Heat flux and air humidity The interaction of heat flux and humidity often plays a more significant role in the environment. For example, under high humidity conditions, the effect of heat flux may be exacerbated, leading to higher evaporation and heat accumulation, thus enhancing the environmental impact. Therefore, setting .

[0121] Air humidity The squared term can lead to significant environmental changes under certain conditions, especially at high humidity, where soil temperature is relatively The impact of environmental factors is small, and it is often a moderating factor of environmental impact, but not a dominant factor. .

[0122] Soil temperature The impact on the environment is generally considered to be greater than that of rainfall, and in some cases soil temperature can directly affect plant growth and ecosystem health, while rainfall The impact of is more dependent on specific weather conditions and time periods. .

[0123] In summary, setting , without the influence of other parameters, set .

[0124] Based on the above embodiment, the true values ​​of the average temperature change rate and the average strain change rate of the lining channel are obtained according to the following formula:

[0125] ;

[0126] ;

[0127] in, is the true value of the average temperature change rate of the lined channel, is the true value of the average strain rate of the lining channel, is the weight coefficient of the temperature influence coefficient, is the weight coefficient of the first environmental impact coefficient, is the weight coefficient of the strain influence coefficient, is the weight coefficient of the second environmental impact coefficient.

[0128] Temperature is one of the main factors affecting the performance of lining materials and structural stability. Temperature changes will directly affect the thermal expansion and contraction of materials. Therefore, in the calculation of temperature change rate, .

[0129] The change of strain is usually closely related to the stress state inside the material. The strain influence coefficient represents the factors that directly affect the strain, while the second environmental influence coefficient is more of an influence from the perspective of the environment. Therefore, setting .

[0130] In the engineering application of lined channels, the changes in temperature and strain are usually first directly affected by external temperature changes and the characteristics of the material itself. Environmental factors (such as humidity, rainfall, etc.) have relatively little impact on these changes. Therefore, when designing and calculating, more attention is usually paid to the direct effects of temperature and strain.

[0131] In summary, setting , , without the influence of other parameters, set , .

[0132] Based on the above embodiment, the real temperature and real strain of the lining channel are obtained according to the following formula:

[0133] ;

[0134] ;

[0135] in, is the actual temperature of the lined channel, is the true strain of the lining channel.

[0136] The specific value of the weight coefficient in the formula is generally determined by technicians in this field according to actual conditions. The essence of this formula is to perform comprehensive analysis by weighted summation. The technicians in this field collect multiple groups of sample data, set corresponding weight coefficients for each group of sample data, substitute the set weight coefficients and the collected sample data into the formula, observe the accuracy of the model output and the rationality of the results through repeated experiments and parameter adjustments, gradually adjust these weight coefficients, and compare the performance and effect of the model under different parameter settings to find the optimal coefficient combination, screen the calculated weight coefficients and take the average, and obtain , , and The value of .

[0137] In addition, the size of the weight coefficient is a specific value obtained by quantifying each parameter. In order to facilitate subsequent comparison, the size of the weight coefficient depends on the amount of sample data and the technical personnel in this field preliminarily set the corresponding weight coefficient for each set of sample data. It is not unique as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0138] See also Figure 2 , the present invention also provides a technical solution:

[0139] A test device for temperature conduction and frost heave strain of a concrete lined channel, the device is used to perform any of the above-mentioned test methods for temperature conduction and frost heave strain of a concrete lined channel, comprising:

[0140] The change rate calculation module is used to collect the temperature change of the lining channel within the time period t before the current moment through the temperature sensor, and use the temperature change of the lining channel to construct a time-temperature function expression to obtain the average temperature change rate of the lining channel within the time period t, collect the strain change of the lining channel within the time period t through the strain measuring device, and use the strain change of the lining channel to construct a time-strain function expression to obtain the average strain change rate within the time period t;

[0141] The model building module is used to obtain the size of the lining channel in the past, the thermal conductivity of the material and the average temperature gradient, take the size of the lining channel, the thermal conductivity and the average temperature gradient as input, and the temperature influence coefficient as a label, train the channel temperature model, obtain the model after the training is completed, obtain the expression of the temperature influence coefficient of the lining channel, obtain the size, temperature, thermal expansion coefficient and elastic modulus of the lining channel in the past, take the size, temperature, thermal expansion coefficient and elastic modulus of the lining channel as input, and the strain influence coefficient as a label, train the channel strain model, obtain the model after the training is completed, and obtain the expression of the strain influence coefficient of the lining channel;

[0142] The first data processing module is used to collect the current external environmental parameters of the concrete lined channel, including air humidity, heat flux density, rainfall and soil temperature, and perform data processing on the collected external environmental parameters to generate a first environmental impact coefficient and a second environmental impact coefficient;

[0143] The second data processing module is used to input the size of the current lining channel, the thermal conductivity of the material and the average temperature gradient into the channel temperature model, obtain the temperature influence coefficient of the current lining channel, perform data processing on the temperature influence coefficient of the current lining channel, the first environmental influence coefficient and the average temperature change rate of the lining channel, generate the true value of the average temperature change rate of the lining channel, input the size, temperature, thermal expansion coefficient and elastic modulus of the current lining channel into the channel strain model, obtain the strain influence coefficient of the current lining channel, perform data processing on the strain influence coefficient of the current lining channel, the second environmental influence coefficient and the average strain change rate, and generate the true value of the average strain change rate;

[0144] The correction module is used to obtain the real temperature of the lined channel according to the real value of the temperature change rate of the lined channel using the time-temperature function expression, and to obtain the real strain of the lined channel according to the real value of the average strain change rate using the time-frost heave strain function expression.

[0145] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0146] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0147] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0148] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for testing temperature conduction and frost heave strain of a concrete lined channel, characterized in that: The specific steps include: S1. Using a temperature sensor to collect the temperature change of the lining channel in a time period t before the current moment, using the temperature change of the lining channel, constructing a time-temperature function expression, and obtaining the average temperature change rate of the lining channel in the time period t, using a strain gauge to collect the strain change of the lining channel in the time period t, and using the strain change of the lining channel to construct a time-strain function expression, and obtaining the average strain change rate in the time period t; S2. Obtain the dimensions of the lining channel in the past, the thermal conductivity of the material and the average temperature gradient, use the dimensions, thermal conductivity and average temperature gradient of the lining channel as input, and the temperature influence coefficient as a label, train the channel temperature model, obtain the trained model, obtain the expression of the temperature influence coefficient of the lining channel, obtain the dimensions, temperature, thermal expansion coefficient and elastic modulus of the lining channel in the past, use the dimensions, temperature, thermal expansion coefficient and elastic modulus of the lining channel as input, and the strain influence coefficient as a label, train the channel strain model, obtain the trained model, and obtain the expression of the strain influence coefficient of the lining channel; S3. Collect the current external environmental parameters of the concrete lined channel, including air humidity, heat flux density, rainfall and soil temperature, perform data processing on the collected external environmental parameters, and generate a first environmental impact coefficient and a second environmental impact coefficient; S4. Input the size of the current lining channel, the thermal conductivity of the material and the average temperature gradient into the channel temperature model to obtain the temperature influence coefficient of the current lining channel, perform data processing on the temperature influence coefficient of the current lining channel, the first environmental influence coefficient and the average temperature change rate of the lining channel to generate the true value of the average temperature change rate of the lining channel, input the size, temperature, thermal expansion coefficient and elastic modulus of the current lining channel into the channel strain model to obtain the strain influence coefficient of the current lining channel, perform data processing on the strain influence coefficient of the current lining channel, the second environmental influence coefficient and the average strain change rate to generate the true value of the average strain change rate; S5. Using the time-temperature function expression, according to the true value of the temperature change rate of the lining channel, the true temperature of the lining channel is obtained; using the time-frost heave strain function expression, according to the true value of the average strain change rate, the true strain of the lining channel is obtained.

2. The method for testing temperature conduction and frost heave strain of a concrete lined channel according to claim 1, characterized in that: The expression of the temperature influence coefficient of the lined channel is obtained as follows: ； ； in, is the temperature influence coefficient, is the length of the lined channel, is the width of the lined channel, is the thickness of the channel lining, is the volume of the lined channel, is the thermal conductivity of the material, is the average temperature gradient of the material, is the bias term, is the weight coefficient of the volume of the lined channel, is the weight coefficient of the product of the thermal conductivity of the material and the average temperature gradient, is the coefficient of the logarithmic function, which is used to adjust the slope of the logarithmic function curve. The value range is between 0.1 and 10. , .

3. The method for testing temperature conduction and frost heave strain of a concrete lined channel according to claim 2, characterized in that: The expression for obtaining the strain influence coefficient of the lined channel is as follows: ； ； in, is the strain influence coefficient, is the strain of the channel lining, is the current channel lining temperature, is the thermal expansion coefficient of the material, is the elastic modulus of the material, is the weight coefficient of the thermal expansion coefficient of the material, is the weight coefficient of the elastic modulus of the material, , are offsets, , .

4. The method for testing temperature conduction and frost heave strain of a concrete lined channel according to claim 3, characterized in that: The collected air humidity, heat flux, rainfall and soil temperature are processed to generate the first environmental impact coefficient and the second environmental impact coefficient according to the following formula: ； ； in, is the first environmental impact coefficient, is the second environmental impact coefficient, is the air humidity, is the heat flux density, is the rainfall, is the soil temperature, is the weight coefficient of air humidity, is the weight coefficient of the product of heat flux density and air humidity, is the weight coefficient of rainfall, is the weight coefficient of soil temperature, , .

5. The method for testing temperature conduction and frost heave strain of a concrete lined channel according to claim 4, characterized in that: The true values ​​of the average temperature change rate and the average strain change rate of the lining channel are obtained based on the following formula: ； ； in, is the true value of the average temperature change rate of the lined channel, is the true value of the average strain rate of the lining channel, is the average temperature change rate of the lined channel during the time period t, is the average strain rate of the lining channel during the time period t, is the temperature influence coefficient, is the strain influence coefficient, is the weight coefficient of the temperature influence coefficient, is the weight coefficient of the first environmental impact coefficient, is the weight coefficient of the strain influence coefficient, is the weight coefficient of the second environmental impact coefficient, , , , .

6. The method for testing temperature conduction and frost heave strain of a concrete lined channel according to claim 5, characterized in that: The true temperature and true strain inside the lined channel are obtained according to the following formula: ； ； in, is the actual temperature of the lined channel, is the true strain of the lining channel, is the time interval from the initial moment to the final moment, is the temperature at the initial moment of time period t, is the strain at the initial moment of time period t.

7. A test device for temperature conduction and frost heave strain of a concrete lined channel, the device being used to perform a test method for temperature conduction and frost heave strain of a concrete lined channel according to any one of claims 1 to 6, characterized in that: include: The change rate calculation module is used to collect the temperature change of the lining channel within the time period t before the current moment through the temperature sensor, and use the temperature change of the lining channel to construct a time-temperature function expression to obtain the average temperature change rate of the lining channel within the time period t, collect the strain change of the lining channel within the time period t through the strain measuring device, and use the strain change of the lining channel to construct a time-strain function expression to obtain the average strain change rate within the time period t; The model building module is used to obtain the size of the lining channel in the past, the thermal conductivity of the material and the average temperature gradient, take the size of the lining channel, the thermal conductivity and the average temperature gradient as input, and the temperature influence coefficient as a label, train the channel temperature model, obtain the model after the training is completed, obtain the expression of the temperature influence coefficient of the lining channel, obtain the size, temperature, thermal expansion coefficient and elastic modulus of the lining channel in the past, take the size, temperature, thermal expansion coefficient and elastic modulus of the lining channel as input, and the strain influence coefficient as a label, train the channel strain model, obtain the model after the training is completed, and obtain the expression of the strain influence coefficient of the lining channel; The first data processing module is used to collect the current external environmental parameters of the concrete lined channel, including air humidity, heat flux density, rainfall and soil temperature, and perform data processing on the collected external environmental parameters to generate a first environmental impact coefficient and a second environmental impact coefficient; The second data processing module is used to input the size of the current lining channel, the thermal conductivity of the material and the average temperature gradient into the channel temperature model, obtain the temperature influence coefficient of the current lining channel, perform data processing on the temperature influence coefficient of the current lining channel, the first environmental influence coefficient and the average temperature change rate of the lining channel, generate the true value of the average temperature change rate of the lining channel, input the size, temperature, thermal expansion coefficient and elastic modulus of the current lining channel into the channel strain model, obtain the strain influence coefficient of the current lining channel, perform data processing on the strain influence coefficient of the current lining channel, the second environmental influence coefficient and the average strain change rate, and generate the true value of the average strain change rate; The correction module is used to obtain the real temperature of the lined channel according to the real value of the temperature change rate of the lined channel using the time-temperature function expression, and to obtain the real strain of the lined channel according to the real value of the average strain change rate using the time-frost heave strain function expression.

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