Method and system for monitoring wet expansion deformation of concrete during construction period of high arch dam

Abstract

The invention discloses a high arch dam construction period concrete wet expansion deformation monitoring method and system, and the method comprises the steps: collecting the monitoring data of the high arch dam construction period concrete and the surrounding state data, constructing a stress impact factor, an environment impact coefficient and a potential deformation risk coefficient, and carrying out the correction and abnormality screening of the deformation; and calculating a deformation rate based on the abnormal deformation amount, calculating the similarity between the deformation rate and the potential deformation risk coefficient and the second deformation amount, and determining the deformation risk degree of the concrete in the construction period of the high arch dam according to a similarity calculation result and the abnormal deformation amount. And judging the wet expansion deformation condition of the concrete in the construction period of the high arch dam based on the deformation risk degree. The method not only can improve the efficiency of monitoring the wet expansion deformation of the concrete during the construction period of the high arch dam, but also has better interpretability, and can be directly applied to a system for monitoring the wet expansion deformation of the concrete during the construction period of the high arch dam.

Description

Technical Field

[0001] The invention relates to the field of deformation monitoring, and in particular to a method and system for monitoring the wet expansion deformation of concrete during the construction period of a high arch dam. Background Art

[0002] As an important water conservancy hub engineering structure, high arch dam plays an important role in water storage, power generation, flood control, navigation and ecological protection. The safety and stability of its construction process have become the focus of attention in the engineering community. During the construction of high arch dams, due to the influence of various factors such as the hydration reaction of concrete materials, changes in ambient temperature and humidity, and bedrock constraints, significant swelling and deformation will occur. If this deformation cannot be monitored and controlled in a timely and accurate manner, it will directly affect the structural safety and service life of the high arch dam.

[0003] The expansion deformation of concrete during the construction period of high arch dams has the characteristics of strong time dependence, significant influence of temperature and humidity and stress, obvious material characteristics, and obvious distinction between position and shape. Traditional concrete deformation monitoring methods mostly rely on manual measurement and single-point monitoring technology, which have problems such as low monitoring efficiency, insufficient data accuracy, and difficulty in fully reflecting the overall deformation of concrete. By fully considering the factors affecting deformation, correcting and processing monitoring data, distinguishing deformation at different locations, and combining visualization display technology, an efficient, accurate, and comprehensive method and system for monitoring the expansion deformation of concrete during the construction period of high arch dams is designed to overcome the shortcomings of existing monitoring technologies and systems, which is of great significance for improving the safety and reliability of high arch dam construction. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for monitoring the expansion deformation of concrete during the construction period of a high arch dam.

[0005] To achieve the above object, the present invention is implemented according to the following technical solutions:

[0006] The present invention comprises the following steps:

[0007] Collecting monitoring data of concrete during the construction period of the high arch dam and surrounding status data; the monitoring data includes bedrock stress, surface strain of key points and dynamic coordinates of key points; the status data includes concrete performance values ​​and environmental status data;

[0008] Obtaining a first deformation based on the dynamic coordinates of the key points and the surface strain of the key points, determining a stress influence factor through the bedrock stress, and correcting the first deformation based on the stress influence factor to obtain a second deformation;

[0009] Extracting features from the environmental state data to obtain a state feature value, determining an environmental impact coefficient based on the state feature value, modifying the first deformation amount based on the environmental impact coefficient to obtain a third deformation amount, screening the third deformation amount to obtain an abnormal deformation amount, and calculating a deformation rate through the abnormal deformation amount;

[0010] determining a potential deformation risk coefficient of concrete based on the concrete performance value, calculating a similarity between the potential deformation risk coefficient and the deformation rate to obtain a first similarity, and calculating a similarity between the deformation rate and the second deformation to obtain a second similarity; the first similarity is positively correlated with the abnormal deformation; and the second similarity is negatively correlated with a deviation of the abnormal deformation relative to the second deformation;

[0011] The deformation risk of concrete during the construction period of the high arch dam is determined by the first similarity, the second similarity and the abnormal deformation, and the swelling deformation of concrete during the construction period of the high arch dam is judged based on the deformation risk.

[0012] Furthermore, the method for collecting monitoring data of concrete during the construction period of a high arch dam includes:

[0013] During the construction period of the high arch dam, key monitoring points are evenly set on the concrete surface. Strain gauges are set at the key monitoring points to obtain the concrete surface strain of the key points. The elevation of the monitoring points is obtained by a level. The spatial coordinate system of the monitoring points is established in combination with the plane coordinate system and elevation of the concrete surface. The dynamic coordinates of the key points are obtained based on real-time dynamic measurement technology. Stress sensors and permeability pressure gauges are arranged in the bedrock to obtain the total stress and pore water pressure of the bedrock.

[0014] Furthermore, the method for obtaining the first deformation amount based on the dynamic coordinates of the key point and the surface strain of the key point includes:

[0015] The dynamic strain ε in the X and Y directions of the key point i in P units is obtained by solving the strain field through the spatial dynamic coordinates of the key point Xi and ε Yi , compare and fuse the dynamic strain of the key points with the surface strain of the key points to obtain the first deformation S in the X and Y directions X1 and S Y1 ;

[0016] During the construction period of the high arch dam, it is assumed that the concrete is in a small deformation stage and no abnormal conditions such as sudden damage will occur. Assuming that the concrete is an isotropic material with a constant Poisson's ratio v, the first deformation in the Z direction S is obtained by the first deformation in the X and Y directions. Z1 =-v(S X1 +S Y1 ).

[0017] Furthermore, the method for determining the stress influencing factor by the bedrock stress includes:

[0018] The stress influencing factor η is introduced to quantitatively evaluate the reduction of pore water pressure and obtain the water pressure criterion in the same model. Different, but the vertical total stress criterion The same two sets of data is the total stress, and the vertical total stress criterion Total stress criterion Relationship Calculate the correction factor η, k ′ is the lateral pressure coefficient, and the calculation formula is:

[0019]

[0020] The first deformation is corrected based on the stress influence factor to obtain the second deformation, and the expression is:

[0021]

[0022] Where S i2 is the second deformation in the direction of i∈(X, Y, Z), S i1 is the first deformation in the i direction, u is the pore water pressure, and E is the elastic modulus of concrete.

[0023] Furthermore, the method for determining the environmental impact coefficient based on the state characteristic value includes:

[0024] The principal component analysis is used to reduce the dimension of the environmental state data, extract the main environmental state components to obtain the state characteristic values ​​including concrete surface temperature, reservoir bottom water temperature, environmental humidity, construction stage, etc.

[0025] The construction period of the high arch dam is divided into the pouring, arch sealing and phased water storage stages. When water storage begins, the concrete swells and deforms due to water immersion. The environmental impact coefficient considering the coupling of temperature and humidity and the effect of moisture expansion is defined as:

[0026]

[0027] Where γ is the environmental impact coefficient at time t, ε0 is the strain of the standard concrete specimen without water immersion under the same curing conditions, and f i , g i 、p i 、r i are parameters to be determined, t0 is the time when water storage starts, t τ is the equivalent age before immersion;

[0028] The third deformation is obtained by correcting the first deformation based on the environmental impact coefficient, and the expression is:

[0029]

[0030] Where S i3 is the third deformation in the direction of i∈(X, Y, Z), S i1 is the first deformation in the i direction. Before water storage begins, the first deformation of the concrete already includes the coupling effect of temperature and humidity.

[0031] Furthermore, the method for calculating the deformation rate by the abnormal deformation amount includes:

[0032] The linear regression model is used to fit the third deformation to detect the change point where the data trend changes significantly, and the slope threshold and intercept threshold are set to judge the abnormal change and filter the abnormal data to obtain the abnormal deformation;

[0033] Derivative the abnormal deformation, and transform the derivative result into the abnormal signal x based on the time series. c (t), decomposing the abnormal signal x based on the improved multivariate variational mode decomposition method c (t), the objective function expression is:

[0034]

[0035] The function objective is to construct a variational optimization problem that minimizes the sum of the modal bandwidths of each scale, k and c are the number of modes and channels, and u k,c is the k-mode with c channels, w k is the center frequency of mode k, α is the penalty factor, is the signal after Hilbert transform of abnormal signal, is the phase term, j is the imaginary unit;

[0036] Update the modal transformation to the frequency domain, update the center frequency and penalty factor, and the center frequency update expression is:

[0037]

[0038] in is the frequency domain representation of the updated center frequency of mode k in channel c in the n+1 iterations, is the frequency domain representation of the updated mode k in channel c in the n+1 iterations, and w is the angular frequency domain;

[0039] Based on the objective function, the mode, center frequency and penalty factor are continuously updated through iteration until the mode and center frequency are outputted under the constraint of minimum sum of modal bandwidth. The frequency changes of each modal component are analyzed to identify the changing trend of deformation rate. The deformation rate characteristics are outputted by combining the frequency domain analysis results and the changes in time domain.

[0040] Furthermore, the method for determining the potential deformation risk coefficient of concrete based on the concrete performance value includes:

[0041] The standard concrete specimens are placed under the same conditions as the high arch dam construction site for curing. The material properties of the standard concrete specimens are measured at regular intervals. The average elastic modulus of the standard concrete specimens before water storage is defined as E0, and the elastic modulus of the standard concrete specimens after water storage is defined as E0. i , i is the number of material property tests after water storage begins;

[0042] Construct a potential deformation risk function, and set the mean elastic modulus to E0 and the elastic modulus to E i Substitute into the potential deformation risk function to calculate the potential deformation risk coefficient, the expression is:

[0043]

[0044] Where Y(i) is the concrete potential deformation risk coefficient obtained in the i-th test after the start of water storage, and α, β, and γ are weight coefficients respectively. and are the ratios (E i / E0), n is the number of trials, is the mean value of material property tests after n water storage;

[0045] The first similarity is obtained by calculating the similarity between the abnormal deformation amount and the potential deformation risk coefficient according to time matching, and the second similarity is obtained by calculating the similarity between the deformation rate and the second deformation amount;

[0046] The deformation risk of concrete during the construction period of the high arch dam is determined by the first similarity, the second similarity and the abnormal deformation; the deformation risk is positively correlated with the first similarity and the abnormal deformation; the deformation risk is negatively correlated with the second similarity;

[0047] When the deformation risk is less than the monitoring threshold, the concrete swelling deformation during the high arch dam construction period is normal. When the deformation risk exceeds the monitoring threshold, it indicates that the concrete swelling deformation during the high arch dam construction period is abnormal, and the system will issue an early warning to the user.

[0048] In a second aspect, a system for monitoring the expansion deformation of concrete during the construction period of a high arch dam comprises:

[0049] Data acquisition module: used to collect monitoring data of concrete during the construction period of the high arch dam and status data around the high arch dam during the construction period, and transmit the monitoring data and status data to the calculation module; the calculation module includes a stress influence factor module, an environmental influence coefficient module, a potential risk coefficient module, a deformation module and a deformation risk module;

[0050] Stress influence factor module: used to determine the stress influence factor according to the bedrock stress;

[0051] Environmental impact coefficient module: used for extracting features from the environmental state data to obtain state feature values, and determining the environmental impact coefficient based on the state feature values;

[0052] Potential risk coefficient module: used to calculate the concrete performance value to determine the concrete potential deformation risk coefficient;

[0053] Deformation module: used for obtaining a first deformation based on the dynamic coordinates of the key points and the surface strain of the key points, correcting the first deformation based on the stress influence factor to obtain a second deformation, correcting the first deformation based on the environmental influence coefficient to obtain a third deformation, screening the third deformation to obtain an abnormal deformation, and calculating a deformation rate through the abnormal deformation;

[0054] A deformation risk module: used to determine the deformation risk of concrete during the construction period of a high arch dam according to the first similarity, the second similarity and the abnormal deformation;

[0055] Visual monitoring module: used to convert the deformation risk of all key points into cloud images through spatial coordinates, use different colors to represent the deformation risk of key points, judge the expansion and deformation of concrete during the construction period of high arch dam based on the deformation risk, and carry out monitoring and early warning.

[0056] In a third aspect, an embodiment of the present application further provides an electronic device, including:

[0057] A processor; and a memory arranged to store computer executable instructions, which when executed cause the processor to perform the method steps described in the first aspect.

[0058] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, which stores one or more programs. When the one or more programs are executed by an electronic device including multiple applications, the electronic device executes the method steps described in the first aspect.

[0059] The beneficial effects of the present invention are:

[0060] The present invention is a method and system for monitoring the expansion deformation of concrete during the construction period of a high arch dam. Compared with the prior art, the present invention has the following technical effects:

[0061] The present invention can improve the accuracy of monitoring the swelling deformation through the steps of obtaining the first deformation, correcting the first deformation, screening the abnormal deformation, calculating the deformation rate, calculating the similarity, and determining the deformation risk, thereby improving the efficiency and accuracy of monitoring the swelling deformation of concrete during the construction period of the high arch dam. The monitoring of the swelling deformation is intelligent, which can greatly save resources and improve the monitoring efficiency. The monitoring of the swelling deformation of concrete during the construction period of the high arch dam can be realized, and the swelling deformation of concrete during the construction period of the high arch dam can be monitored in real time, thereby providing guarantee for the safety and reliability of the construction of the high arch dam. The monitoring of the swelling deformation of concrete during the construction period of the high arch dam is of great significance, and can adapt to the monitoring systems of the swelling deformation of concrete during the construction period of different high arch dams and the monitoring requirements of the swelling deformation of concrete during the construction period of the high arch dam for different users, and has a certain universality. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 A flowchart of the steps of a method for monitoring the swelling deformation of concrete during the construction period of a high arch dam according to the present invention;

[0063] Figure 2 It is a schematic diagram of the structure of an electronic device in an embodiment of this specification. DETAILED DESCRIPTION

[0064] The present invention is further described below by means of specific embodiments. The illustrative embodiments and descriptions of the present invention are used to explain the present invention but are not intended to limit the present invention.

[0065] A method and system for monitoring the expansion deformation of concrete during the construction period of a high arch dam according to the present invention comprises the following steps:

[0066] like Figure 1 As shown, in this embodiment, the following steps are included:

[0067] Collecting monitoring data of concrete during the construction period of the high arch dam and surrounding status data; the monitoring data includes bedrock stress, surface strain of key points and dynamic coordinates of key points; the status data includes concrete performance values ​​and environmental status data;

[0068] Obtaining a first deformation based on the dynamic coordinates of the key points and the surface strain of the key points, determining a stress influence factor through the bedrock stress, and correcting the first deformation based on the stress influence factor to obtain a second deformation;

[0069] Extracting features from the environmental state data to obtain a state feature value, determining an environmental impact coefficient based on the state feature value, modifying the first deformation amount based on the environmental impact coefficient to obtain a third deformation amount, screening the third deformation amount to obtain an abnormal deformation amount, and calculating a deformation rate through the abnormal deformation amount;

[0070] determining a potential deformation risk coefficient of concrete based on the concrete performance value, calculating a similarity between the potential deformation risk coefficient and the deformation rate to obtain a first similarity, and calculating a similarity between the deformation rate and the second deformation to obtain a second similarity; the first similarity is positively correlated with the abnormal deformation; and the second similarity is negatively correlated with a deviation of the abnormal deformation relative to the second deformation;

[0071] The deformation risk of concrete during the construction period of the high arch dam is determined by the first similarity, the second similarity and the abnormal deformation, and the swelling deformation of concrete during the construction period of the high arch dam is judged based on the deformation risk.

[0072] In this embodiment, the method for collecting monitoring data of concrete during the construction period of a high arch dam includes:

[0073] During the construction period of the high arch dam, key monitoring points are evenly set on the concrete surface. Strain gauges are set at the key monitoring points to obtain the concrete surface strain of the key points. The elevation of the monitoring points is obtained by a level. The spatial coordinate system of the monitoring points is established by combining the plane coordinate system and elevation of the concrete surface. The dynamic coordinates of the key points are obtained based on real-time dynamic measurement technology. Stress sensors and permeability pressure gauges are arranged in the bedrock to obtain the total stress and pore water pressure of the bedrock.

[0074] In the actual evaluation, taking the monitoring of concrete swelling deformation during the construction period of high arch dam in area X as an example, three groups of monitoring data (coordinates, strain in the X direction, strain in the Y direction, total bedrock pressure, and pore water pressure) are randomly given: (100, 200, 150), 100 microstrain, 150 microstrain, 2.5MPa, and 0.5MPa; (150, 250, 150), 120 microstrain, 130 microstrain, 2.8MPa, and 0.6MPa; (200, 300, 200), 500 microstrain, 450 microstrain, 2.9MPa, and 0.8MPa.

[0075] In this embodiment, the method for obtaining the first deformation amount based on the dynamic coordinates of the key point and the surface strain of the key point includes:

[0076] The dynamic strain ε in the X and Y directions of the key point i in P units is obtained by solving the strain field through the spatial dynamic coordinates of the key point Xi and ε Yi , compare and fuse the dynamic strain of the key points with the surface strain of the key points to obtain the first deformation S in the X and Y directions X1 and S Y1 ;

[0077] During the construction period of the high arch dam, it is assumed that the concrete is in a small deformation stage and no abnormal conditions such as sudden damage will occur. Assuming that the concrete is an isotropic material with a constant Poisson's ratio v, the first deformation in the Z direction S is obtained by the first deformation in the X and Y directions.Z1 =-v(S X1 +S Y1 );

[0078] In the actual evaluation, the dynamic strains of the three key points solved by the above method are (X-direction strain, Y-direction strain): 105 microstrain, 155 microstrain; 125 microstrain, 135 microstrain; 510 microstrain, 460 microstrain. The dynamic strains of the key points are compared and integrated with the surface strains of the key points. The Poisson's ratio of concrete v=0.2 is taken to calculate the first deformation of 1m unit length in the X, Y, and Z directions: 0.1025mm, 0.1525mm, -0.051mm; 0.1225mm, 0.1325mm, -0.051mm; 0.505mm, 0.455mm, -0.192mm.

[0079] In this embodiment, the method for determining the stress influencing factor through the bedrock stress includes:

[0080] The stress influencing factor η is introduced to quantitatively evaluate the reduction of pore water pressure and obtain the water pressure criterion in the same model. Different, but the vertical total stress criterion The same two sets of data is the total stress, and the vertical total stress criterion Total stress criterion Relationship Calculate the correction factor η, k ′ is the lateral pressure coefficient, and the calculation formula is:

[0081]

[0082] The first deformation is corrected based on the stress influence factor to obtain the second deformation, and the expression is:

[0083]

[0084] Where S i2 is the second deformation in the direction of i∈(X, Y, Z), S i1 is the first deformation in the i direction, u is the pore water pressure, and E is the elastic modulus of concrete;

[0085] In the actual evaluation, the total bedrock stress and pore water pressure were substituted into the above-mentioned stress influencing factor η to obtain the calculation results of the three sets of data corresponding to 0.833, 0.824, and 0.784. When the elastic modulus of concrete E = 43.6 GPa, the second deformations of the three sets of data were (X, Y, Z): 0.1044 mm, 0.1544 mm, -0.0491 mm; 0.1249 mm, 0.1349 mm, -0.0486 mm; 0.509 mm, 0.459 mm, -0.188 mm.

[0086] In this embodiment, the method for determining the environmental impact coefficient based on the state characteristic value includes:

[0087] The principal component analysis is used to reduce the dimension of the environmental state data, extract the main environmental state components to obtain the state characteristic values ​​including concrete surface temperature, reservoir bottom water temperature, environmental humidity, construction stage, etc.

[0088] The construction period of the high arch dam is divided into the pouring, arch sealing and phased water storage stages. When water storage begins, the concrete swells and deforms due to water immersion. The environmental impact coefficient considering the coupling of temperature and humidity and the effect of moisture expansion is defined as:

[0089]

[0090] Where γ is the environmental impact coefficient at time t, ε0 is the strain of the standard concrete specimen without water immersion under the same curing conditions, and f i , g i 、p i 、r i are parameters to be determined, t0 is the time when water storage starts, t τ is the equivalent age before immersion;

[0091] The third deformation is obtained by correcting the first deformation based on the environmental impact coefficient, and the expression is:

[0092]

[0093] Where S i3 is the third deformation in the direction of i∈(X, Y, Z), S i1 is the first deformation in the i direction. The first deformation of concrete before water storage already includes the coupling effect of temperature and humidity;

[0094] According to the fitness calculation results, the undetermined feature representatives are screened to obtain the remaining feature representatives;

[0095] In the actual evaluation, the environmental influencing factors γ(t) were calculated by substituting the state data before and after the three key points: 1.012, 1.051, and 1.133, respectively. The third deformations were calculated to be (X, Y, Z): 0.1037mm, 0.1544mm, -0.0516mm; 0.1289mm, 0.1392mm, -0.0536mm; 0.5731mm, 0.5166mm, -0.2175mm.

[0096] In this embodiment, the method for calculating the deformation rate by using the abnormal deformation amount includes:

[0097] The linear regression model is used to fit the third deformation to detect the change point where the data trend changes significantly, and the slope threshold and intercept threshold are set to judge the abnormal change and filter the abnormal data to obtain the abnormal deformation;

[0098] Derivative the abnormal deformation, and transform the derivative result into the abnormal signal x based on the time series. c (t), decomposing the abnormal signal x based on the improved multivariate variational mode decomposition method c (t), the objective function expression is:

[0099]

[0100] The function objective is to construct a variational optimization problem that minimizes the sum of the modal bandwidths of each scale, k and c are the number of modes and channels, and u k,c is the k-mode with c channels, w k is the center frequency of mode k, α is the penalty factor, is the signal after Hilbert transform of abnormal signal, is the phase term, j is the imaginary unit;

[0101] Update the modal transformation to the frequency domain, update the center frequency and penalty factor, and the center frequency update expression is:

[0102]

[0103] in is the frequency domain representation of the updated center frequency of mode k in channel c in the n+1 iterations, is the frequency domain representation of the updated mode k in channel c in the n+1 iterations, and w is the angular frequency domain;

[0104] Based on the objective function, the mode, center frequency and penalty factor are continuously updated until the mode and center frequency are outputted under the constraint condition that the sum of the modal bandwidth is minimized. The frequency changes of each modal component are analyzed to identify the trend of deformation rate changes. The deformation rate characteristics are outputted by combining the frequency domain analysis results and the changes in the time domain.

[0105] In the actual evaluation, the linear regression model was used to fit the before and after state data of the third deformation of the three key points. The slope threshold and intercept threshold were used to determine whether the third group of data had abnormal changes, and the deformation rate of the third group of data was calculated to be (X, Y, Z): 0.1951mm / h, 0.2175mm / h, -0.0884mm / h.

[0106] In this embodiment, the method for determining the concrete potential deformation risk coefficient based on the concrete performance value includes:

[0107] The standard concrete specimens are placed under the same conditions as the high arch dam construction site for curing. The material properties of the standard concrete specimens are measured at regular intervals. The average elastic modulus of the standard concrete specimens before water storage is defined as E0, and the elastic modulus of the standard concrete specimens after water storage is defined as E0. i , i is the number of material property tests after water storage begins;

[0108] Construct a potential deformation risk function, and set the mean elastic modulus to E0 and the elastic modulus to E i Substitute into the potential deformation risk function to calculate the potential deformation risk coefficient, the expression is:

[0109]

[0110] Where Y(i) is the concrete potential deformation risk coefficient obtained in the i-th test after the start of water storage, and α, β, and γ are weight coefficients respectively. and are the ratios (E i / E0), n is the number of trials, is the mean value of material property tests after n water storage;

[0111] The first similarity is obtained by calculating the similarity between the abnormal deformation amount and the potential deformation risk coefficient according to time matching, and the second similarity is obtained by calculating the similarity between the deformation rate and the second deformation amount;

[0112] The deformation risk of concrete during the construction period of the high arch dam is determined by the first similarity, the second similarity and the abnormal deformation; the deformation risk is positively correlated with the first similarity and the abnormal deformation; the deformation risk is negatively correlated with the second similarity;

[0113] When the deformation risk is less than the monitoring threshold, the concrete swelling deformation during the high arch dam construction period is normal. When the deformation risk exceeds the monitoring threshold, it indicates that the concrete swelling deformation during the high arch dam construction period is abnormal, and the system will issue an early warning to the user.

[0114] In the actual assessment, the average elastic modulus of the standard concrete specimen before water storage is E0, which is 43.60 GPa. α, β, and γ are 1.1, 0.5, and 0.5 respectively. Substituting the state data before and after the key points corresponding to the abnormal data into the calculation, the potential deformation risk coefficient is 1.12. The overall abnormal deformation and deformation rate are calculated to be 0.8016 mm and 0.3053 mm / h, and the first similarity Same1 and the second similarity Same2 are calculated to be 0.91 and 0.62. The deformation risk is calculated according to the formula:

[0115] y=I S [α·Same1+β·(1-Same2)]

[0116] Where y is the deformation risk, I S is the overall abnormal deformation, α and β are weight coefficients, which are 0.7 and 0.3 respectively, and the deformation risk y = 0.602 is calculated;

[0117] Determine the degree of concrete expansion and deformation during the construction period of the high arch dam according to the monitoring threshold:

[0118]

[0119] where θ min =0.1 is the initial warning threshold, θ low =0.4 is the low warning threshold, θ high =0.7 high warning threshold, deformation risk y = 0.602 reflects the secondary swelling deformation of concrete during the construction period of high arch dam.

[0120] In a second aspect, a system for monitoring the expansion deformation of concrete during the construction period of a high arch dam comprises:

[0121] Data acquisition module: used to collect monitoring data of concrete during the construction period of the high arch dam and status data around the high arch dam during the construction period, and transmit the monitoring data and status data to the calculation module; the calculation module includes a stress influence factor module, an environmental influence coefficient module, a potential risk coefficient module, a deformation module and a deformation risk module;

[0122] Stress influence factor module: used to determine the stress influence factor according to the bedrock stress;

[0123] Environmental impact coefficient module: used for extracting features from the environmental state data to obtain state feature values, and determining the environmental impact coefficient based on the state feature values;

[0124] Potential risk coefficient module: used to calculate the concrete performance value to determine the concrete potential deformation risk coefficient;

[0125] Deformation module: used for obtaining a first deformation based on the dynamic coordinates of the key points and the surface strain of the key points, correcting the first deformation based on the stress influence factor to obtain a second deformation, correcting the first deformation based on the environmental influence coefficient to obtain a third deformation, screening the third deformation to obtain an abnormal deformation, and calculating a deformation rate through the abnormal deformation;

[0126] A deformation risk module: used to determine the deformation risk of concrete during the construction period of a high arch dam according to the first similarity, the second similarity and the abnormal deformation;

[0127] Visual monitoring module: used to convert the deformation risk of all key points into cloud images through spatial coordinates, use different colors to represent the deformation risk of key points, judge the expansion and deformation of concrete during the construction period of high arch dam based on the deformation risk, and carry out monitoring and early warning.

[0128] Figure 2 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present application. Figure 2 At the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. The memory may include a memory, such as a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage. Of course, the electronic device may also include hardware required for other services.

[0129] The processor, network interface and memory can be interconnected through an internal bus, which can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 2 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0130] The memory is used to store the program. Specifically, the program may include a program code, and the program code includes a computer operation instruction. The memory may include a memory and a non-volatile memory, and provides instructions and data to the processor.

[0131] The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming a dynamic monitoring device for port terminal standard information based on big data at the logical level. The processor executes the program stored in the memory and is specifically used to execute the aforementioned method for monitoring the wet expansion deformation of concrete during the construction period of any high arch dam.

[0132] The above application Figure 1 The method for monitoring the amount of concrete swelling deformation during the construction period of a high arch dam disclosed in the illustrated embodiment can be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor or an instruction in the form of software. The above processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present application can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in a decoding processor. The software module can be located in a storage medium mature in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0133] The electronic device may also perform Figure 1 Monitoring method of concrete swelling deformation during construction of medium-high arch dams and implementation Figure 1 The functions of the illustrated embodiment will not be described in detail in the embodiments of the present application.

[0134] The embodiment of the present application also proposes a computer-readable storage medium, which stores one or more programs, and the one or more programs include instructions. When the instructions are executed by an electronic device including multiple application programs, the aforementioned method for monitoring the expansion deformation of concrete during the construction period of any high arch dam is executed.

[0135] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0136] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0137] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0138] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0139] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0140] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0141] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0142] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0143] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0144] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for monitoring the expansion deformation of concrete during the construction period of a high arch dam, characterized in that: The following steps are involved: S1. Collecting monitoring data of concrete and surrounding status data during the construction period of a high arch dam; the monitoring data includes bedrock stress, surface strain of key points and dynamic coordinates of key points; the status data includes concrete performance values ​​and environmental status data; S2, obtaining a first deformation based on the dynamic coordinates of the key point and the surface strain of the key point, determining a stress influence factor through the bedrock stress, and correcting the first deformation based on the stress influence factor to obtain a second deformation; S3, extracting features from the environmental state data to obtain a state feature value, determining an environmental impact coefficient based on the state feature value, correcting the first deformation amount based on the environmental impact coefficient to obtain a third deformation amount, screening the third deformation amount to obtain an abnormal deformation amount, and calculating a deformation rate based on the abnormal deformation amount; S4, determining a potential deformation risk coefficient of concrete based on the concrete performance value, calculating a similarity between the potential deformation risk coefficient and the deformation rate to obtain a first similarity, and calculating a similarity between the deformation rate and the second deformation to obtain a second similarity; the first similarity is positively correlated with the abnormal deformation; the second similarity is negatively correlated with a deviation of the abnormal deformation relative to the second deformation; S5. Determine the deformation risk of concrete during the construction period of the high arch dam through the first similarity, the second similarity and the abnormal deformation, and judge the swelling deformation of concrete during the construction period of the high arch dam based on the deformation risk.

2. According to claim 1, a method for monitoring the expansion deformation of concrete during the construction period of a high arch dam, characterized in that: The method for obtaining a first deformation amount based on the dynamic coordinates of the key point and the surface strain of the key point includes: The dynamic strain ε in the X and Y directions of the key point i in P units is obtained by solving the strain field through the spatial dynamic coordinates of the key point Xi and ε Yi , compare and fuse the dynamic strain of the key points with the surface strain of the key points to obtain the first deformation S in the X and Y directions X1 and S Y1 ; During the construction period of the high arch dam, it is assumed that the concrete is in a small deformation stage and no abnormal conditions such as sudden damage will occur. Assuming that the concrete is an isotropic material with a constant Poisson's ratio v, the first deformation in the Z direction S is obtained by the first deformation in the X and Y directions. Z1 =-v(S X1 +S Y1 ).

3. According to claim 1, a method for monitoring the expansion deformation of concrete during the construction period of a high arch dam is characterized in that: The method for determining the stress influencing factor by using the bedrock stress comprises: The stress influencing factor η is introduced to quantitatively evaluate the reduction of pore water pressure and obtain the water pressure criterion in the same model. Different, but the vertical total stress criterion The same two sets of data is the total stress, and the vertical total stress criterion Total stress criterion Relationship Calculate the correction factor η, k′ is the lateral pressure coefficient, and the calculation formula is: The first deformation is corrected based on the stress influence factor to obtain the second deformation, and the expression is: Where S i2 is the second deformation in the direction of i∈(X, Y, Z), S i1 is the first deformation in the i direction, u is the pore water pressure, and E is the elastic modulus of concrete.

4. According to claim 1, a method for monitoring the expansion deformation of concrete during the construction period of a high arch dam is characterized in that: The method for determining the environmental impact coefficient based on the state characteristic value includes: The principal component analysis is used to reduce the dimension of the environmental state data, extract the main environmental state components to obtain the state characteristic values ​​including concrete surface temperature, reservoir bottom water temperature, environmental humidity, construction stage, etc. The construction period of the high arch dam is divided into the pouring, arch sealing and phased water storage stages. When water storage begins, the concrete swells and deforms due to water immersion. The environmental impact coefficient considering the coupling of temperature and humidity and the effect of moisture expansion is defined as: Where γ is the environmental impact coefficient at time t, ε0 is the strain of the standard concrete specimen without water immersion under the same curing conditions, and f i , g i 、p i 、r i are parameters to be determined, t0 is the time when water storage starts, t τ is the equivalent age before immersion; The third deformation is obtained by correcting the first deformation based on the environmental impact coefficient, and the expression is: Where S i3 is the third deformation in the direction of i∈(X, Y, Z), S i1 is the first deformation in the i direction. Before water storage begins, the first deformation of the concrete already includes the coupling effect of temperature and humidity.

5. According to claim 1, a method for monitoring the expansion deformation of concrete during the construction period of a high arch dam, characterized in that: The method for calculating the deformation rate by the abnormal deformation amount comprises: The linear regression model is used to fit the third deformation to detect the change point where the data trend changes significantly, and the slope threshold and intercept threshold are set to judge the abnormal change and filter the abnormal data to obtain the abnormal deformation; Derivative the abnormal deformation, and transform the derivative result into the abnormal signal x based on the time series. c (t), decomposing the abnormal signal x based on the improved multivariate variational mode decomposition method c (t), the objective function expression is: The function objective is to construct a variational optimization problem that minimizes the sum of the modal bandwidths of each scale, k and c are the number of modes and channels, and u k,c is the k-mode with c channels, w k is the center frequency of mode k, α is the penalty factor, is the signal after Hilbert transform of abnormal signal, is the phase term, j is the imaginary unit; Update the modal transformation to the frequency domain, update the center frequency and penalty factor, and the center frequency update expression is: in is the frequency domain representation of the updated center frequency of mode k in channel c in the n+1 iterations, is the frequency domain representation of the updated mode k in channel c in the n+1 iterations, and w is the angular frequency domain; Based on the objective function, the mode, center frequency and penalty factor are continuously updated through iteration until the mode and center frequency are outputted under the constraint of minimum sum of modal bandwidth. The frequency changes of each modal component are analyzed to identify the changing trend of deformation rate. The deformation rate characteristics are outputted by combining the frequency domain analysis results and the changes in time domain.

6. A method for monitoring the expansion and deformation of concrete during the construction period of a high arch dam according to claim 1, characterized in that: The method for determining the potential deformation risk coefficient of concrete based on the concrete performance value comprises: The standard concrete specimens are placed under the same conditions as the high arch dam construction site for curing. The material properties of the standard concrete specimens are measured at regular intervals. The average elastic modulus of the standard concrete specimens before water storage is defined as E0, and the elastic modulus of the standard concrete specimens after water storage is defined as E0. i , i is the number of material property tests after water storage begins; Construct a potential deformation risk function, and set the mean elastic modulus to E0 and the elastic modulus to E i Substitute into the potential deformation risk function to calculate the potential deformation risk coefficient, the expression is: Where Y(i) is the concrete potential deformation risk coefficient obtained in the i-th test after the start of water storage, and α, β, and γ are weight coefficients respectively. and are the ratios (E i / E0), n is the number of trials, is the mean value of material property tests after n water storage; The first similarity is obtained by calculating the similarity between the abnormal deformation amount and the potential deformation risk coefficient according to time matching, and the second similarity is obtained by calculating the similarity between the deformation rate and the second deformation amount; The deformation risk of concrete during the construction period of the high arch dam is determined by the first similarity, the second similarity and the abnormal deformation; the deformation risk is positively correlated with the first similarity and the abnormal deformation; the deformation risk is negatively correlated with the second similarity; When the deformation risk is less than the monitoring threshold, the concrete swelling deformation during the high arch dam construction period is normal. When the deformation risk exceeds the monitoring threshold, it indicates that the concrete swelling deformation during the high arch dam construction period is abnormal, and the system will issue an early warning to the user.

7. A system for monitoring the expansion and deformation of concrete during the construction period of a high arch dam, used to implement the method of claims 1-7, characterized in that: include: Data acquisition module: used to collect monitoring data of concrete during the construction period of the high arch dam and status data around the high arch dam during the construction period, and transmit the monitoring data and status data to the calculation module; the calculation module includes a stress influence factor module, an environmental influence coefficient module, a potential risk coefficient module, a deformation module and a deformation risk module; Stress influence factor module: used to determine the stress influence factor according to the bedrock stress; Environmental impact coefficient module: used for extracting features from the environmental state data to obtain state feature values, and determining the environmental impact coefficient based on the state feature values; Potential risk coefficient module: used to calculate the concrete performance value to determine the concrete potential deformation risk coefficient; Deformation module: used for obtaining a first deformation based on the dynamic coordinates of the key points and the surface strain of the key points, correcting the first deformation based on the stress influence factor to obtain a second deformation, correcting the first deformation based on the environmental influence coefficient to obtain a third deformation, screening the third deformation to obtain an abnormal deformation, and calculating a deformation rate through the abnormal deformation; A deformation risk module: used to determine the deformation risk of concrete during the construction period of a high arch dam according to the first similarity, the second similarity and the abnormal deformation; Visual monitoring module: used to convert the deformation risk of all key points into cloud images through spatial coordinates, use different colors to represent the deformation risk of key points, judge the expansion and deformation of concrete during the construction period of high arch dam based on the deformation risk, and carry out monitoring and early warning.

8. An electronic device comprising: processor; and a memory arranged to store computer executable instructions, which, when executed, cause the processor to perform the method of any one of claims 1 to 6.

9. A computer-readable storage medium storing one or more programs, which, when executed by an electronic device including a plurality of application programs, causes the electronic device to execute any one of the methods of claims 1 to 6.

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