Arch dam time-dependent deformation analysis method and system based on multi-source data

Abstract

This invention provides a method and system for analyzing the time-dependent deformation of arch dams based on multi-source data, belonging to the field of hydropower engineering technology. The method includes: establishing a finite element model encompassing the dam body and foundation; using monitoring data to first determine the thermal parameters and autogenous volumetric deformation parameters of concrete; substituting the determined thermal and autogenous volumetric deformation parameters into the finite element model, and then sequentially determining the bedrock creep parameters and concrete creep parameters under load; finally, calculating the contribution of each factor to the time-dependent deformation of the arch dam based on the determined parameters. This invention effectively eliminates the interference of temperature and non-stressed material deformation on the mechanical parameter inversion by using multi-source data for step-by-step decoupling of physical parameters, avoiding the coupling problems caused by traditional multi-parameter synchronous inversion, and achieving accurate quantification of the time-dependent deformation values ​​caused by various physical factors.

Description

Technical Field

[0001] This invention relates to the field of hydropower engineering technology, and in particular to a method and system for analyzing the time-dependent deformation of arch dams based on multi-source data. Background Technology

[0002] During long-term operation, high arch dams will undergo complex time-dependent deformations under the combined effects of the huge water thrust from upstream, temperature changes, and soil rheology. Accurately analyzing the physical causes and specific values ​​of these deformations is of great significance for evaluating the dam's performance and ensuring the long-term safe operation of the project.

[0003] Existing technologies typically involve establishing a finite element model of the dam, using the measured total deformation data of the dam as the target, and employing intelligent optimization algorithms to simultaneously invert and fit various parameters in the model, such as temperature, materials, and foundation. However, the aging deformation of a dam is the result of the superposition of multiple factors, including temperature, autogenous volumetric deformation, creep, and creep deformation. Simultaneous inversion based solely on the total deformation leads to mutual coupling between various physical parameters, making it difficult to accurately distinguish the specific influence of different physical factors, and thus failing to achieve precise quantification of the aging deformation values ​​caused by each physical factor. Summary of the Invention

[0004] This invention provides a method and system for analyzing the time-dependent deformation of arch dams based on multi-source data, addressing the shortcomings of existing technologies and achieving accurate quantification of the time-dependent deformation values ​​caused by various physical factors.

[0005] This invention provides a method for analyzing the time-dependent deformation of arch dams based on multi-source data, comprising the following steps: Establish a finite element model that includes the dam body and dam foundation; Temperature boundary conditions are determined based on monitoring data of dam ambient temperature and water temperature, and the thermal parameters of concrete in the finite element model are determined by inversion based on monitoring data of internal temperature of the dam body. Based on the monitoring data reflecting the non-stressed deformation of concrete, the parameters of the self-generated volumetric deformation of concrete in the finite element model are determined. Substituting the temperature boundary conditions, the thermal parameters of the concrete, and the self-generated volumetric deformation parameters of the concrete into the finite element model, the bedrock creep parameters are determined by inversion under the conditions of applied water pressure load and self-weight load. Substituting the temperature boundary conditions, the thermal parameters of the concrete, the self-generated volumetric deformation parameters of the concrete, and the creep parameters of the bedrock into the finite element model, the concrete creep parameters are determined by inversion under the conditions of applied water pressure load and self-weight load. Based on the concrete thermal parameters, the concrete autogenous volumetric deformation parameters, the bedrock creep parameters, and the concrete creep parameters, the contributions of temperature, concrete autogenous volumetric deformation, bedrock creep, and concrete creep to the aging deformation of the arch dam are calculated using the finite element model.

[0006] According to the present invention, a method for analyzing the time-dependent deformation of arch dams based on multi-source data is provided. The step of determining the self-generated volumetric deformation parameters of concrete in the finite element model based on monitoring data reflecting the non-stressed deformation of concrete includes: The pure autogenous volumetric deformation component of concrete was separated using the monitoring data. Based on the distribution pattern of the pure self-generated volumetric deformation component in the dam body space, the dam body is divided into multiple different deformation characteristic regions; The pure autogenous volumetric deformation component of each of the deformation feature regions is independently fitted to obtain the autogenous volumetric deformation parameters of the concrete.

[0007] According to the present invention, a method for analyzing the time-dependent deformation of arch dams based on multi-source data is provided, wherein separating the pure autogenous volumetric deformation component of concrete using the monitoring data includes: Based on the stress-free monitoring data of the dam body, the linear expansion coefficient of concrete was calculated through correlation analysis. The temperature strain component is calculated based on the linear expansion coefficient and the temperature change during the monitoring period; The temperature strain component is subtracted from the total strain data monitored by the stress gauge to obtain the pure autogenous volumetric deformation component of the concrete.

[0008] According to the present invention, a method for analyzing the time-dependent deformation of an arch dam based on multi-source data is provided. The method involves determining temperature boundary conditions based on monitoring data of the dam's ambient temperature and water temperature, and then, in conjunction with internal temperature monitoring data of the dam body, inverting and determining the thermal parameters of the concrete in the finite element model. This includes: The internal temperature field of the dam body, which is only affected by the temperature boundary conditions, was calculated using finite element positive analysis. Obtain the measured temperature at the center of each section of the dam body after arch sealing grouting, and calculate the difference curve between the measured temperature and the internal temperature field of the dam body affected only by temperature boundary conditions; The difference curve is used as the curve of the later-stage hydration and heating process inside the dam body. The extreme value of the later-stage adiabatic temperature rise and the temperature rise rate coefficient of the concrete are determined by regression analysis and used as the thermal parameters of the concrete.

[0009] According to the present invention, a method for analyzing the time-dependent deformation of arch dams based on multi-source data is provided, wherein the inversion to determine bedrock creep parameters includes: The monitoring data of the inverted plumb line measuring points of the dam foundation are obtained. Based on the spatiotemporal distribution law of bedrock deformation reflected by the monitoring data, the dam foundation of the finite element model is divided into multiple bedrock zones. For each of the bedrock zones, a bedrock creep model containing rheological rate parameters and rheological degree parameters is constructed. Based on the finite element model, a simulation analysis of the entire process of dam construction and operation is conducted. Taking the monitoring data as the target, the rheological rate parameter and the rheological degree parameter of each bedrock zone are adjusted so that the fitting error between the calculated bedrock deformation value obtained from the simulation analysis and the monitoring data meets the preset conditions, and the bedrock creep parameter of each bedrock zone is determined.

[0010] According to the present invention, a method for analyzing the time-dependent deformation of arch dams based on multi-source data is provided, wherein the inversion to determine concrete creep parameters includes: Construct a concrete creep model that includes rheological parameters and rheological rate parameters; Based on the finite element model, the temperature boundary conditions, time-varying water pressure load and self-weight load are introduced, and the determined concrete thermal parameters, concrete self-generated volume deformation parameters and bedrock creep parameters are fixed to conduct simulation analysis of the entire process of arch dam construction, water impoundment and operation. Extract the displacement calculation values ​​of the measuring point positions corresponding to the monitoring data in the full-process simulation analysis; With the goal of minimizing the fitting error between the calculated displacement value and the monitoring data, the rheological parameters and the rheological rate parameters in the concrete creep model are iteratively adjusted to determine the concrete creep parameters.

[0011] This invention also provides a time-dependent deformation analysis system for arch dams based on multi-source data, comprising the following modules: The first processing module is used to establish a finite element model that includes the dam body and dam foundation; The second processing module is used to determine the temperature boundary conditions based on the monitoring data of the dam's ambient temperature and water temperature, and to invert and determine the thermal parameters of the concrete in the finite element model by combining the internal temperature monitoring data of the dam body. The third processing module is used to determine the self-generated volume deformation parameters of concrete in the finite element model based on the monitoring data reflecting the non-stressed deformation of concrete. The fourth processing module is used to substitute the temperature boundary conditions, the thermal parameters of the concrete, and the self-generated volumetric deformation parameters of the concrete into the finite element model, and under the conditions of applying water pressure load and self-weight load, to invert and determine the bedrock creep parameters. The fifth processing module is used to substitute the temperature boundary conditions, the thermal parameters of the concrete, the self-generated volumetric deformation parameters of the concrete, and the creep parameters of the bedrock into the finite element model, and to invert and determine the creep parameters of the concrete under the conditions of applied water pressure load and self-weight load. The sixth processing module is used to calculate the contribution of temperature, concrete autogenous volume deformation, bedrock creep, and concrete creep to the aging deformation of the arch dam using the finite element model based on the concrete thermal parameters, the concrete autogenous volume deformation parameters, the bedrock creep parameters, and the concrete creep parameters.

[0012] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the arch dam time-dependent deformation analysis method based on multi-source data as described above.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the time-dependent deformation analysis method for arch dams based on multi-source data as described above.

[0014] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the arch dam time-dependent deformation analysis method based on multi-source data as described above.

[0015] In summary, one or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: By establishing a finite element model and first using monitoring data to invert and determine the thermal and autogenous volumetric deformation parameters of concrete, the interference of temperature field and material volume changes on stress deformation is eliminated in the early stage of analysis. By substituting the determined thermal and autogenous parameters into the model to invert bedrock creep parameters, the deformation components of the foundation are accurately separated using the known non-stress deformation characteristics of the dam body. By fixing all the aforementioned determined parameters and substituting them into the model to invert concrete creep parameters, it is ensured that creep characteristics are fitted only for the remaining deformation after deducting other factors, thus guaranteeing the accuracy of parameter inversion. Finally, the deformation corresponding to each parameter is calculated through the model, thereby achieving precise quantification of the time-dependent deformation caused by various physical factors. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the time-dependent deformation analysis method for arch dams based on multi-source data provided by the present invention.

[0018] Figure 2 This is a schematic diagram of the radial deformation process line of the dam body provided by the present invention.

[0019] Figure 3 This is a diagram of the overall finite element network model provided by the present invention.

[0020] Figure 4 This is a finite element network dam model diagram provided by the present invention.

[0021] Figure 5 This is a curve comparing the calculated and measured upstream surface temperature values ​​provided by this invention.

[0022] Figure 6 This is a curve comparing the calculated and measured values ​​of the downstream surface temperature provided by this invention.

[0023] Figure 7 This is a graph comparing the calculated and measured internal temperature values ​​provided by this invention.

[0024] Figure 8 This is a schematic diagram of the fitting curve of the independent variable parameter provided by the present invention.

[0025] Figure 9 This is a curve comparing the calculated and measured values ​​of the dam foundation inversion measurement points provided by this invention.

[0026] Figure 10 This is a curve comparing the calculated and measured values ​​of the vertical measuring points on the dam body provided by this invention.

[0027] Figure 11 This is a schematic diagram of the inversion temperature rise and the change curve of the thermometer measuring point provided by the present invention.

[0028] Figure 12 This is a schematic diagram of bedrock zoning provided by the present invention.

[0029] Figure 13 This is a schematic diagram of the structure of the arch dam time-dependent deformation analysis system based on multi-source data provided by the present invention.

[0030] Figure 14 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0032] It should be noted that in the description of this invention, the terms "comprising," "including," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element. The terms "upper," "lower," etc., indicating orientation or positional relationships according to the accompanying drawings, are only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the system or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0033] The terms "first," "second," etc., used in this invention are used to distinguish similar objects, not to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class, without limiting the number of objects; for example, a first object can be one or more. Furthermore, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0034] The following is combined Figures 1 to 14 This invention describes the method, system, electronic device, storage medium, and computer program product for analyzing the time-dependent deformation of arch dams based on multi-source data.

[0035] This invention provides a method for analyzing the time-dependent deformation of arch dams based on multi-source data. The method is executed by a computer device, such as a server, workstation, or personal computer primarily composed of a memory, a processor, and computer programs stored in the memory and capable of running on the processor. (Refer to...) Figure 1 , Figure 1This is a flowchart illustrating the time-dependent deformation analysis method for arch dams based on multi-source data provided by this invention. Figure 1 As shown, the method for analyzing the time-dependent deformation of arch dams based on multi-source data includes the following steps: Step S1: Establish a finite element model that includes the dam body and dam foundation.

[0036] Computer-aided design was used to construct a high-precision three-dimensional finite element model of the arch dam and its foundation. This finite element model accurately replicates the actual topography and geomorphology of the natural and engineering slopes of the dam area, and simulates the spatial distribution and geological structure of various rock strata in the dam site area. Simultaneously, the finite element model incorporates the dam structure with zoning characteristics of concrete materials, clearly defining the spatial distribution patterns of concrete of different strength grades, and depicting the detailed structures of the orifice gates, riverbed toe, and bank slope toe. For the dam foundation area, permeability coefficient zones were defined to reflect the differences in seepage between the rock and soil, and the geometry and physical properties of the seepage barrier and drainage system were incorporated into the finite element model.

[0037] Taking a super-high arch dam project in southwestern my country as an example, the maximum height of the dam body reaches 294.5 meters. (Refer to...) Figure 2 , Figure 2 This is a schematic diagram of the radial deformation process line of the dam body provided by the present invention. (See diagram below.) Figure 2 As shown, Figure 2 This figure comprehensively reflects the deformation characteristics of the dam during its water storage operation. The horizontal axis represents the time span (from 2008 to 2025), the right vertical axis represents the reservoir water level (unit: m), and the left vertical axis represents the displacement along the river (unit: mm). The black curve represents the periodic change of water level over time, while the five colored curves labeled A22-PL-01 to A22-PL-05 represent the measured radial displacement data of measuring points at different elevations of the arch crown beam. As can be seen from the evolution of the curves in the figure, although the radial displacement of the dam exhibits obvious fluctuations due to the influence of water level rise and fall and the annual temperature cycle, i.e., it has a certain elastic response, in the long term, the displacement process lines of each measuring point show a continuous growth trend in the downstream direction, and have not shown a stable convergence trend by the end of the monitoring period. This continuous displacement, which cannot be explained by water pressure and temperature elastic deformation alone, intuitively reveals that there is a significant time-dependent deformation phenomenon in the arch dam. This confirms the necessity and engineering value of the present invention in performing physical parameter inversion and decoupling analysis of contribution of time-dependent factors such as temperature, autogenous volume deformation, bedrock creep and concrete creep.

[0038] Reference Figure 3 and Figure 4 , Figure 3 This is a diagram of the overall finite element network model provided by the present invention. Figure 4 This is a finite element network dam model diagram provided by the present invention. Figure 3 and Figure 4As shown, considering the actual structure and material zoning of the dam, a finite element mesh model of the arch dam foundation during the water storage operation period is constructed. The dam material is divided into zones A, B, and C to realistically reflect the dam's designed shape, detailed structure, and material zoning of different parts. This finite element model contains a total of 412,674 elements and 449,365 nodes, including the foundation, dam body, transverse joints, and construction joints.

[0039] Step S2: Determine the temperature boundary conditions based on the monitoring data of the dam's ambient temperature and water temperature, and combine the internal temperature monitoring data of the dam body to invert and determine the thermal parameters of the concrete in the finite element model.

[0040] Computer equipment uses data from upstream water temperature monitoring points to interpolate and determine the distribution of reservoir water temperature along elevation and time, serving as the upstream water temperature boundary; meteorological data is used to determine the air temperature boundary on the dam surface. (Refer to...) Figure 5 and Figure 6 , Figure 5 This is a curve comparing the calculated and measured upstream surface temperature values ​​provided by this invention. Figure 6 This is a graph comparing the calculated and measured values ​​of the downstream surface temperature provided by this invention. Figure 5 and Figure 6 As shown, the horizontal axis represents observation time, and the vertical axis represents temperature (°C). The red curve represents the temperature time history curve calculated based on the defined temperature boundary conditions, and the black curve represents the measured temperature data curve at the corresponding location. Figure 5 and Figure 6 It can be concluded that, whether it is the upstream surface significantly affected by reservoir water temperature or the downstream surface dominated by air temperature changes, the calculated temperature curve and the measured temperature curve have maintained a high degree of synchronicity over a monitoring period of more than ten years. The peaks, troughs and trends of the two curves fit each other very well. This high degree of consistency strongly verifies the accuracy and rationality of the external temperature boundary conditions such as reservoir water temperature and air temperature constructed in the finite element model of this invention.

[0041] Based on this, considering the later-stage adiabatic temperature rise of concrete, the measured temperature data within each section of the dam body were used to isolate the influence of boundary temperatures, and the residual hydration temperature rise extreme value and temperature rise rate, among other thermal parameters of concrete, were obtained by inversion without considering boundary heat transfer. (Refer to...) Figure 7 , Figure 7 This is a graph comparing the calculated and measured internal temperature values ​​provided by this invention. (Example) Figure 7 As shown, the horizontal axis represents time, and the vertical axis represents temperature. The red curve represents the simulation calculation results after comprehensively considering external boundary conditions and the inverted concrete later-stage adiabatic temperature rise parameters, while the black curve represents the measured temperature data at the corresponding location. Figure 7As can be seen from the trend of the curves, the two curves have a very high degree of agreement throughout the entire observation period. They both accurately reflect the evolution process of the concrete temperature inside the dam gradually accumulating and rising over time, and then falling back very slowly after reaching its peak. This good consistency strongly proves that the adiabatic temperature rise inversion model based on difference curve regression adopted in this invention and the results obtained are reasonable and accurate. This ensures that the finite element model can accurately reproduce the real temperature field distribution inside the dam, providing a reliable basis for the subsequent stripping of temperature deformation components.

[0042] Step S3: Determine the self-generated volumetric deformation parameters of concrete in the finite element model based on the monitoring data reflecting the non-stressed deformation of concrete.

[0043] Computer equipment acquires stress-free gauge monitoring data of the dam body, which directly reflects the deformation of concrete under no external force. Using this data, the relationship between temperature and micro-strain is analyzed to determine the linear expansion coefficient of concrete and further separate the pure autogenous volumetric deformation component. Based on the development law of this component over time, parameters describing the development law of the autogenous volumetric deformation of concrete are fitted, i.e., the autogenous volumetric deformation parameters of concrete. (Refer to...) Figure 8 , Figure 8 This is a schematic diagram of the fitting curve for the independent variable parameters provided by the present invention. For example... Figure 8 As shown, the horizontal axis represents time (days), and the vertical axis represents the self-generated volume deformation (…). The black curve represents the fitting result for the upstream region, while the red curve represents the fitting result for the interior and downstream regions of the dam. As clearly seen in the figure, the autogenous volume deformation of the concrete in different parts of the dam exhibits drastically different evolution trends. The upstream region shows a slow-growing expansion characteristic over time (black curve), while the interior and downstream regions show a continuously developing contraction characteristic over time (red curve). To address these two significantly different deformation characteristics, this invention uses different quadratic polynomial empirical formulas for independent fitting. The autogenous volume deformation curves calculated based on the inversion parameters reflect the shrinkage or expansion characteristics of the concrete material itself.

[0044] Step S4: Substitute the temperature boundary conditions, concrete thermal parameters, and concrete autogenous volumetric deformation parameters into the finite element model, and determine the bedrock creep parameters by inversion under the conditions of applied water pressure load and self-weight load.

[0045] Based on the established temperature field and material autogenous deformation characteristics, the computer system performs a step-by-step decoupled inversion. Real hydraulic loads and self-weight loads are applied to the finite element model, and the temperature boundary conditions and concrete thermal parameters determined in step S2 are input to form the temperature load. Simultaneously, the concrete autogenous volumetric deformation parameters determined in step S3 are input. Under this condition, using monitoring data primarily reflecting foundation deformation, such as plumb line measurement data, the rheological properties of the bedrock are adjusted through simulation analysis to match the bedrock deformation values ​​calculated by the finite element model with the measured values, thereby determining the bedrock creep parameters. (Refer to...) Figure 9 , Figure 9 This is a curve comparing the calculated and measured values ​​of the dam foundation inversion measurement points provided by this invention. (For example...) Figure 9 As shown, the horizontal axis represents time, and the vertical axis represents the deformation along the river (mm). The red curve represents the finite element calculation results after comprehensively considering the actual boundary conditions and the creep effect of the bedrock in the zone, while the black curve represents the corresponding measured data of the dam foundation plumb line. Figure 9 It can be concluded that the calculated values ​​and measured values ​​showed a very high degree of consistency over a monitoring period of more than ten years. The two values ​​not only remained synchronized in terms of the periodic fluctuation amplitude with changes in water level and temperature, but also highly overlapped in reflecting the cumulative creep deformation trend of the bedrock gradually moving downstream over time. This good fitting effect strongly verifies the accuracy of the rheological rate and rheological degree parameters determined by the bedrock partition inversion strategy adopted in this invention, indicating that the model can reliably simulate the time-dependent deformation behavior of dam foundations under complex geological conditions.

[0046] Step S5: Substitute the temperature boundary conditions, concrete thermal parameters, concrete autogenous volumetric deformation parameters, and bedrock creep parameters into the finite element model, and determine the concrete creep parameters by inversion under the conditions of applied water pressure load and self-weight load.

[0047] The computer equipment further fixes all the aforementioned known parameters. In the finite element model, in addition to applying water pressure load, self-weight load, temperature load, and the self-generated volumetric deformation of concrete, the bedrock creep parameters determined in step S4 are also introduced to simulate the deformation of the foundation over time. At this point, using the measured total deformation data of the dam body, such as data from vertical measuring points, the residual between the calculated and monitored values ​​is attributed to concrete creep through full-process simulation inversion, thereby adjusting and determining the concrete creep parameters. (Refer to...) Figure 10 , Figure 10 This is a curve comparing the calculated and measured values ​​of the vertical measuring points on the dam body provided by this invention. (For example...) Figure 10As shown, the horizontal axis represents time, and the vertical axis represents deformation along the river (mm). The red curve represents the total deformation calculation result after further superimposing the inverted concrete creep effect, based on the introduction of real boundary conditions, water pressure, self-weight, and previously determined temperature, autogenous volume deformation, and bedrock creep parameters. The black curve represents the measured vertical displacement at the corresponding position. Figure 10 It can be concluded that the red calculated curve not only accurately reproduces the elastic characteristics of the measured displacement fluctuating with the season, but more importantly, it accurately tracks the long-term aging trend of the measured displacement gradually moving downstream over time. The two curves have maintained a high degree of fit over a span of more than ten years. This high-precision fitting result strongly proves the effectiveness of the step-by-step decoupling inversion strategy adopted in this invention, ensuring that the finally determined concrete creep parameters can truly and accurately reflect the rheological behavior of dam concrete materials under the action of complex multi-physics fields.

[0048] Step S6: Based on the thermal parameters of concrete, the autogenous volumetric deformation parameters of concrete, the creep parameters of bedrock, and the creep parameters of concrete, calculate the contributions of temperature, autogenous volumetric deformation of concrete, bedrock creep, and concrete creep to the aging deformation of the arch dam using a finite element model.

[0049] After acquiring all physical parameters, the computer equipment performs forward simulation using the controlled variable method based on the established finite element model and actual boundary conditions. The deformation processes of the arch dam are calculated separately under different conditions: considering only temperature load, only the autogenous volume deformation of concrete, only bedrock creep, and only concrete creep. By selecting a unified calculation start time and specific deformation measurement points, such as the radial deformation measurement point at the top of the arch crown beam, the radial deformation values ​​of the dam caused by each individual factor are directly output, thereby quantifying the contribution of each factor to the time-dependent deformation of the arch dam.

[0050] The time-dependent deformation analysis method for arch dams based on multi-source data provided in this invention employs a step-by-step decoupling strategy, sequentially utilizing temperature monitoring data, stress gauge data, inverted plumb line data, and upright plumb line data to determine thermal parameters, autogenous volumetric deformation parameters, bedrock creep parameters, and concrete creep parameters, respectively. This method avoids the problem of different parameters having the same effect in traditional multi-parameter synchronous inversion, achieving deterministic inversion of each physical process parameter. The process is transparent, and the parameters have clear physical meanings. Finally, the independent deformation contribution of each factor is calculated through forward simulation, providing quantitative, intuitive, and accurate data support for dam safety assessment.

[0051] In a preferred embodiment, the step of determining the self-generated volumetric deformation parameters of concrete in the finite element model based on monitoring data reflecting the non-stressed deformation of concrete is achieved through the following steps: The pure autogenous volumetric deformation component of concrete was separated using monitoring data; Based on the distribution pattern of the pure self-generated volumetric deformation component in the dam body space, the dam body is divided into several different deformation characteristic regions; The pure autogenous volumetric deformation components of each deformation feature region are independently fitted to obtain the autogenous volumetric deformation parameters of concrete.

[0052] Specifically, firstly, by using monitoring data that reflects the non-stressed deformation of concrete, such as the monitoring results of the dam body stress gauge, the volume deformation caused by temperature changes is eliminated, thereby separating the pure autogenous volume deformation component of concrete caused only by changes in the physical and chemical properties of the concrete material itself.

[0053] Secondly, the distribution pattern of the pure autogenous volumetric deformation component in the dam body space is analyzed. Due to the enormous volume of the ultra-high arch dam, the concrete pouring time, environmental conditions, and stress state vary at different elevations and locations, resulting in significant spatial heterogeneity in its autogenous volumetric deformation. Therefore, based on this distribution pattern, the dam body is divided into several different deformation characteristic regions.

[0054] Based on the above-mentioned ultra-high arch dam engineering examples and the autogenous volume deformation data separated by stress-free gauges, it was found that most measuring points in the upstream region showed an expansion trend, while most measuring points in the mid-to-downstream region showed an expansion followed by contraction or direct contraction trend, and all showed a contraction trend after reaching the normal water level. Based on this pattern, the dam was divided into three different deformation characteristic regions: the upstream block, the midstream block, and the downstream block.

[0055] Finally, the pure autogenous volumetric deformation component of each deformation characteristic region was independently fitted. Mathematical models were established for regression analysis based on the data characteristics of different regions to obtain the corresponding autogenous volumetric deformation parameters of concrete in each region. For example... Figure 8 As shown, this is for different regions ( Figure 8 The development law curves are obtained by independently fitting the time histories of autogenous volume deformation (shown as the upstream surface, i.e., the expansion trend zone, and the interior / downstream surface of the dam body, i.e., the contraction trend zone).

[0056] This invention fully considers the spatial heterogeneity of ultra-high arch dams by dividing the dam body into multiple deformation characteristic regions and performing independent fitting. Compared to treating the entire dam body as a homogeneous body and using a single parameter inversion, this partitioned inversion strategy can more accurately characterize the real autogenous volume deformation behavior of different parts of the dam body, thereby significantly improving the accuracy of the finite element model in simulating the dam's time-dependent deformation.

[0057] In a preferred embodiment, the specific process of separating the pure autogenous volumetric deformation component of concrete using monitoring data is achieved through the following steps: Based on the stress-free monitoring data of the dam body, the linear expansion coefficient of concrete was calculated through correlation analysis. The temperature strain component is calculated based on the coefficient of linear expansion and the temperature change during the monitoring period; The pure autogenous volumetric deformation component of concrete is obtained by subtracting the temperature strain component from the total strain data monitored by stress gauges.

[0058] Specifically, firstly, based on the stress-free gauge monitoring data of the dam body, the linear expansion coefficient of concrete was calculated through correlation analysis. The total strain measured by the stress-free gauge mainly consists of two parts: one part is the thermal expansion and contraction strain caused by temperature changes, and the other part is the autogenous volume deformation independent of temperature. Correlation analysis was performed on the micro-strain and temperature data recorded by the stress-free gauge. Assuming that the linear expansion coefficient is constant throughout the observation period, the linear expansion coefficient of concrete was obtained by inversion using multi-point data. α In the aforementioned ultra-high arch dam engineering embodiment, through inversion of the stress-free gauge monitoring results of the dam, the linear expansion coefficient of the dam concrete was determined to be 7.78 × 10⁻⁶. －6 / ℃.

[0059] Secondly, the temperature strain component is calculated based on the coefficient of linear expansion and the temperature change during monitoring. Specifically, the formula is used... Calculate the strain caused by temperature change at any given time, where For temperature strain components, The coefficient of linear expansion is the one determined above. This represents the temperature change at this moment relative to the reference moment.

[0060] Finally, the temperature strain component is subtracted from the total strain data monitored by the stress gauge to obtain the pure autogenous volumetric deformation component of the concrete. Using the formula... Calculations are performed to completely remove the temperature effect from the total strain, obtaining data on autogenous volumetric deformation purely caused by the concrete hydration and aging process. ,in This represents the total strain observed by the stress gauge at time n.

[0061] This invention utilizes stress-free gauge data as a key sensor to decouple temperature deformation from autogenous deformation. This method can directly obtain the actual autogenous volumetric deformation evolution process of concrete using on-site monitoring data, laying a solid data foundation for subsequent accurate assessment of the contribution of autogenous volumetric deformation to the dam's aging deformation.

[0062] In a preferred embodiment, the process of determining the thermal parameters of concrete in the finite element model through inversion is specifically achieved through the following steps: The internal temperature field of the dam body, which is only affected by temperature boundary conditions, was calculated using finite element positive analysis. Obtain the measured temperature at the center of each section of the dam body after arch sealing grouting, and calculate the difference curve between the measured temperature and the internal temperature field of the dam body affected only by temperature boundary conditions; The difference curve is used as the curve of the later-stage hydration and heating process inside the dam body. The extreme value of the later-stage adiabatic temperature rise and the temperature rise rate coefficient of the concrete are determined by regression analysis and used as the thermal parameters of the concrete.

[0063] Specifically, firstly, the internal temperature field of the dam body, affected only by temperature boundary conditions, is calculated using finite element forward analysis. In this process, the upstream water temperature boundary and the dam surface air temperature boundary determined in step S2 are used as inputs, and the influence of the heat of hydration inside the concrete is temporarily ignored. The heat conduction simulation calculation of the dam body is then performed to obtain the internal temperature distribution of the dam body caused only by changes in the external ambient temperature.

[0064] Secondly, the measured temperatures at the center of each section of the dam body after arch sealing grouting were obtained, and the difference curve between the measured temperatures and the internal temperature field of the dam body affected only by temperature boundary conditions was calculated. Specifically, for the later adiabatic temperature rise of concrete, different adiabatic temperature rise parameters were assigned to each dam body material section, with the date and temperature of arch sealing grouting as the zero point. The measured temperature data at the center of each section were extracted, and the above simulation analysis results considering only the boundary temperature influence were subtracted from them. The resulting difference curve reflects the actual temperature rise inside the dam body after removing the interference of ambient temperature.

[0065] Finally, the difference curve was used as the curve for the later-stage hydration and heat generation process within the dam body. Regression analysis was used to determine the extreme value of the later-stage adiabatic temperature rise and the temperature rise rate coefficient of the concrete, which were then used as thermal parameters of the concrete. The following formula was used for regression analysis of the difference curve: In the formula: At any time after arch sealing grouting τ The regression results of the adiabatic temperature rise at that time; This represents the extreme value of the adiabatic temperature rise in the later stage; e It is a natural constant; α , β These are undetermined coefficients (i.e., the temperature rise rate coefficient). They are determined through fitting. , α , β The specific values ​​are input into the finite element model as thermal parameters of concrete.

[0066] Reference Figure 11 , Figure 11 This is a schematic diagram showing the comparison between the inverted temperature rise and the temperature measurement point curve provided by this invention. (See diagram below.) Figure 11As shown, the horizontal axis represents time (days), and the vertical axis represents temperature (°C). The five colored curves (such as red C4-A22-T-26, blue C4-A15-T-27, etc.) represent the difference between the measured temperature at different measuring points and the simulated temperature considering only the boundary temperature. They visually demonstrate the actual residual hydration temperature rise process at each measuring point. Figure 11 It can be concluded that although the measured difference curve exhibits slight fluctuations due to local factors, the overall trend of exponential increase and gradual stabilization is very obvious, and the black fitted curves of each region can pass well through the central trend line of the corresponding measurement point data. This indicates that using the formula... The regression description of the later-stage adiabatic temperature rise of concrete is accurate and conforms to physical laws, thus providing key parameters for the accurate simulation of the internal heat source of concrete in the subsequent finite element model.

[0067] This invention, by calculating the difference between measured values ​​and values ​​calculated only from the ambient temperature field, effectively eliminates the interference of external air and water temperatures on the internal temperature of concrete, thereby accurately capturing the weak but continuous hydration heat generation process in the later stages of concrete operation. This solves the problem that traditional methods often neglect the residual hydration heat of concrete during the water storage operation period, significantly improving the realism of the dam's temperature field simulation.

[0068] In a preferred embodiment, the process of inverting and determining bedrock creep parameters is specifically implemented through the following steps: The monitoring data of the inverted plumb line measuring points of the dam foundation are obtained. Based on the spatiotemporal distribution law of bedrock deformation reflected by the monitoring data, the dam foundation of the finite element model is divided into multiple bedrock zones. For each bedrock zone, a bedrock creep model containing rheological rate parameters and rheological degree parameters is constructed. Simulation analysis of the entire dam construction and operation process based on the finite element model was conducted. Taking the monitoring data as the target, the rheological rate parameters and rheological degree parameters of each bedrock zone were adjusted so that the fitting error between the calculated bedrock deformation value obtained from the simulation analysis and the monitoring data met the preset conditions, and the bedrock creep parameters of each bedrock zone were determined.

[0069] Specifically, firstly, monitoring data from the inverted plumb line measuring points of the dam foundation are acquired. Based on the spatiotemporal distribution patterns of bedrock deformation reflected in the monitoring data, the dam foundation of the finite element model is divided into multiple bedrock zones. The inverted plumb line monitoring data can sensitively reflect the deformation characteristics of the deep parts of the dam foundation. By analyzing the differences in deformation trends at different spatial locations of these measuring points, and combining this with the distribution of faults and fracture zones identified from geological exploration data, the dam foundation is further refined into zones.

[0070] In the above-mentioned ultra-high arch dam engineering embodiment, based on the data from the dam foundation inversion measurement points and the spatiotemporal distribution pattern of bedrock deformation, and referring to... Figure 12 , Figure 12This is a schematic diagram of bedrock zoning provided by the present invention. (See diagram below.) Figure 12 As shown, the bedrock is divided into 7 different regions (e.g., zone 1 to zone 7) to reflect the differences in creep characteristics of different geological structures.

[0071] Secondly, for each bedrock zone, a bedrock creep model incorporating rheological rate and rheological degree parameters is constructed. For each zone, the creep model is fitted using the following formula: In the formula, for τ The load at any moment t The degree of change over time; , , For rheological rate parameters; , , This is the rheological parameter.

[0072] Finally, a simulation analysis of the entire dam construction and operation process was conducted based on the finite element model. Taking the monitoring data as the target, the rheological rate parameters and rheological degree parameters of each bedrock zone were adjusted so that the fitting error between the calculated bedrock deformation value obtained from the simulation analysis and the monitoring data met the preset conditions, and the bedrock creep parameters of each bedrock zone were determined.

[0073] The model comprehensively considers real boundary conditions, water pressure load, self-weight load, determined dam temperature load, and bedrock creep effect, and performs forward simulation calculations. By comparing the deformation values ​​obtained from the simulation at the inverted plumb line measuring points with the measured values, the model is continuously fine-tuned for each zone. , , , , , Parameters such as creep parameters were determined. When the calculated values ​​and measured values ​​showed good agreement (i.e., the fitting error was less than a preset threshold), reasonable creep parameters were considered to have been determined. Ultimately, specific values ​​for bedrock creep parameters were determined for seven zones, such as zone 1. It is 0.00060. It is 0.00040. It is 0.00038. It is 104.000. It is 65,000. It is 49.400.

[0074] This invention fully utilizes monitoring data from the dam foundation's inverted plumb line and overcomes simulation errors caused by simplifying complex foundations into homogeneous bodies by introducing a bedrock zoning strategy. By assigning independent rheological parameters to regions with different geological conditions, it can accurately invert the differentiated rheological behavior of faults, fracture zones, and intact rock masses, thereby ensuring a high degree of consistency between bedrock deformation simulation and actual engineering conditions.

[0075] In a preferred embodiment, the process of inverting to determine the concrete creep parameters is specifically implemented through the following steps: Construct a concrete creep model that includes rheological parameters and rheological rate parameters; Based on the finite element model, temperature boundary conditions, time-varying water pressure load and self-weight load are introduced, and the determined thermal parameters of concrete, self-generated volumetric deformation parameters of concrete and bedrock creep parameters are fixed to conduct simulation analysis of the entire process of arch dam construction, water impoundment and operation. Extract the displacement calculation values ​​of the measuring point locations corresponding to the monitoring data in the full-process simulation analysis; With the goal of minimizing the fitting error between the displacement calculation value and the monitoring data, the rheological parameters and rheological rate parameters in the concrete creep model are iteratively adjusted to determine the concrete creep parameters.

[0076] Specifically, firstly, a concrete creep model is constructed, incorporating rheological parameters and rheological rate parameters. This model describes the viscoelastic deformation of concrete over time under sustained load. In this embodiment, the concrete creep model adopts a mathematical form similar to bedrock creep (i.e., including rheological parameters). , , and rheological rate parameters , , The exponential decay function is used to accurately characterize the early rapid development and later gradual stabilization of creep.

[0077] Secondly, based on the finite element model, temperature boundary conditions, time-varying water pressure loads, and self-weight loads are introduced. The established thermal parameters of concrete, the autogenous volumetric deformation parameters of concrete, and the bedrock creep parameters are fixed to conduct a simulation analysis of the entire process of arch dam construction, impoundment, and operation. In this step, all deterministic parameters (temperature, autogenous, and bedrock) obtained from the previous inversion are locked as known quantities, ensuring that only the concrete creep parameter remains as an undetermined variable in the model.

[0078] Next, the displacement calculation values ​​of the corresponding measuring points in the full-process simulation analysis are extracted. Measuring points that can reflect the overall deformation characteristics of the dam body, such as the vertical measuring points at the location of the arch crown beam, are selected to obtain their radial displacement time history data throughout the simulation process.

[0079] Finally, with the goal of minimizing the fitting error between the calculated displacement values ​​and the monitoring data, the rheological parameters and rheological rate parameters in the concrete creep model were iteratively adjusted to determine the concrete creep parameters. The differences between the simulated displacement and the measured displacement were compared, and the parameters in the creep model were adjusted through optimization algorithms or manual iterative adjustments. , , , , , The parameters were adjusted until the calculated curve and the measured curve closely matched. In the above embodiment of the ultra-high arch dam project, the final fitted values ​​of the creep parameters were: It is 0.0032. It is 0.0006. It is 0.0225. It is 5.3000. It is 8.0000. It is 10.4000. For example... Figure 10 As shown, the calculated values ​​obtained by using this parameter for forward analysis are in good agreement with the monitored values, verifying the rationality of the creep parameter.

[0080] This invention, by accurately separating the influence of known factors such as water pressure, self-weight, temperature, autogenous volume deformation, and bedrock deformation using a finite element model, precisely attributes the remaining deformation to concrete creep. This method effectively solves the problem of parameter separation under multi-physics coupling, ensuring that the inverted concrete creep parameters have clear and independent physical meaning, rather than merely mathematical residual compensation.

[0081] In a preferred embodiment, the step of calculating the contributions of temperature, concrete autogenous volumetric deformation, bedrock creep, and concrete creep to the aging deformation of the arch dam using a finite element model based on concrete thermal parameters, concrete autogenous volumetric deformation parameters, bedrock creep parameters, and concrete creep parameters is performed as follows: Based on the established arch dam-foundation integrated finite element mesh model and determined real boundary conditions, a single-factor simulation analysis method, namely the controlled variable method, is adopted to independently quantify the influence of each physical factor. Four independent simulation cases are constructed, considering only temperature load, only the self-generated volumetric deformation of concrete, only the creep of bedrock, and only the creep of concrete.

[0082] In each simulation case, the corresponding inverted physical parameters (i.e., concrete thermal parameters, concrete autogenous volumetric deformation parameters, bedrock creep parameters, or concrete creep parameters) are input as single variables into the finite element model. Other conditions are kept constant or no other time-dependent loads are applied, and simulation calculations are performed for the entire process of the arch dam's impoundment and operation. After the calculations are completed, a unified calculation time and key deformation measurement points are selected, and the displacement calculation values ​​under each single-factor case are read. These displacement calculation values ​​are used as the contribution of that physical factor to the time-dependent deformation of the arch dam.

[0083] Based on the above-mentioned ultra-high arch dam project examples, June 2010 was selected as the calculation and investigation time point, and the radial deformation measurement point at the top of the arch crown beam was selected as the investigation object. The following results were obtained through finite element model calculations: 1. Contribution of temperature factor: The temperature rise causes the dam to undergo upstream time-dependent deformation, with the maximum time-dependent deformation of the dam crest in the arch crown beam dam section being approximately 12 mm; 2. Contribution of autogenous volumetric deformation: Autogenous volumetric shrinkage deformation causes the arch dam to undergo downstream time-dependent deformation, with the maximum time-dependent deformation at the dam crest of the arch crown beam dam section being 13.5 mm; 3. Contribution of bedrock creep: Creep deformation of the dam foundation causes downstream time-dependent deformation of the arch dam, with the maximum time-dependent deformation of the dam crest in the arch crown beam section being 7.3 mm; 4. Concrete creep contribution: After water impoundment, under the action of water thrust, concrete creep causes the arch dam to deform downstream. The maximum time-dependent deformation of the dam crest of the arch crown beam dam section is 28mm.

[0084] Based on the above calculation results, the influence of each factor can be further ranked or weighted. In this embodiment, it is concluded that the downstream deformation of the arch dam is mainly caused by the combined effects of concrete creep, bedrock creep, and autogenous volume shrinkage deformation under the thrust of water after impoundment. The influence weight of each factor is ranked as follows: concrete creep > autogenous volume shrinkage deformation > bedrock creep.

[0085] This invention utilizes forward simulation technology to deconstruct the complex time-dependent deformation of arch dams into independent contribution values ​​of various physical factors. Unlike traditional methods that only provide vague weighting coefficients, this method directly outputs deformation values ​​with clear physical meaning (such as millimeter-level displacement), achieving precise quantification of the components constituting dam deformation. This not only helps engineers intuitively understand the main driving mechanisms of dam deformation but also provides reliable data support for dam safety assessments and subsequent targeted reinforcement and maintenance decisions.

[0086] Reference Figure 13 , Figure 13 This is a schematic diagram of the structure of the arch dam time-dependent deformation analysis system based on multi-source data provided by the present invention. The system includes: The first processing module is used to establish a finite element model that includes the dam body and dam foundation; The second processing module is used to determine the temperature boundary conditions based on the monitoring data of the dam's ambient temperature and water temperature, and to invert and determine the thermal parameters of the concrete in the finite element model by combining the internal temperature monitoring data of the dam body. The third processing module is used to determine the self-generated volume deformation parameters of concrete in the finite element model based on the monitoring data reflecting the non-stressed deformation of concrete. The fourth processing module is used to substitute the temperature boundary conditions, concrete thermal parameters, and concrete autogenous volume deformation parameters into the finite element model, and to invert and determine the bedrock creep parameters under the conditions of applied water pressure load and self-weight load. The fifth processing module is used to substitute temperature boundary conditions, concrete thermal parameters, concrete autogenous volume deformation parameters, and bedrock creep parameters into the finite element model, and to invert and determine the concrete creep parameters under the conditions of applied water pressure load and self-weight load. The sixth processing module is used to calculate the contribution of temperature, concrete autogenous volume deformation, bedrock creep, and concrete creep to the aging deformation of the arch dam using a finite element model based on concrete thermal parameters, concrete autogenous volume deformation parameters, bedrock creep parameters, and concrete creep parameters.

[0087] It should be noted that the arch dam time-effect deformation analysis system based on multi-source data provided by the present invention can execute the arch dam time-effect deformation analysis method based on multi-source data of any of the above embodiments during specific operation, which will not be elaborated in this embodiment.

[0088] Figure 14 A schematic diagram of the structure of the electronic device provided by the present invention is shown below. Figure 14 As shown, the electronic device may include a processor 1410, a communication interface 1420, a memory 1430, and a communication bus 1440. The processor 1410, communication interface 1420, and memory 1430 communicate with each other via the communication bus 1440. The processor 1410 can call logical instructions from the memory 1430 to execute the arch dam time-deformation analysis method based on multi-source data provided in the above embodiments.

[0089] Furthermore, the logical instructions in the aforementioned memory 1430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0090] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, and when the program instructions are executed by the computer, the computer is able to execute the arch dam time-dependent deformation analysis method based on multi-source data provided in the above embodiments.

[0091] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the time-dependent deformation analysis method for arch dams based on multi-source data provided in the above embodiments.

[0092] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0093] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0094] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for analyzing the time-dependent deformation of arch dams based on multi-source data, characterized in that, include: Establish a finite element model that includes the dam body and dam foundation; Temperature boundary conditions are determined based on monitoring data of dam ambient temperature and water temperature, and the thermal parameters of concrete in the finite element model are determined by inversion based on monitoring data of internal temperature of the dam body. Based on the monitoring data reflecting the non-stressed deformation of concrete, the parameters of the self-generated volumetric deformation of concrete in the finite element model are determined. Substituting the temperature boundary conditions, the thermal parameters of the concrete, and the self-generated volumetric deformation parameters of the concrete into the finite element model, the bedrock creep parameters are determined by inversion under the conditions of applied water pressure load and self-weight load. Substituting the temperature boundary conditions, the thermal parameters of the concrete, the self-generated volumetric deformation parameters of the concrete, and the creep parameters of the bedrock into the finite element model, the concrete creep parameters are determined by inversion under the conditions of applied water pressure load and self-weight load. Based on the concrete thermal parameters, the concrete autogenous volumetric deformation parameters, the bedrock creep parameters, and the concrete creep parameters, the contributions of temperature, concrete autogenous volumetric deformation, bedrock creep, and concrete creep to the aging deformation of the arch dam are calculated using the finite element model.

2. The method for analyzing the time-dependent deformation of arch dams based on multi-source data according to claim 1, characterized in that, The step of determining the self-generated volumetric deformation parameters of concrete in the finite element model based on monitoring data reflecting the non-stressed deformation of concrete includes: The pure autogenous volumetric deformation component of concrete was separated using the monitoring data. Based on the distribution pattern of the pure self-generated volumetric deformation component in the dam body space, the dam body is divided into multiple different deformation characteristic regions; The pure autogenous volumetric deformation component of each of the deformation feature regions is independently fitted to obtain the autogenous volumetric deformation parameters of the concrete.

3. The method for analyzing the time-dependent deformation of arch dams based on multi-source data according to claim 2, characterized in that, The process of separating the pure autogenous volumetric deformation component of concrete using the monitoring data includes: Based on the stress-free monitoring data of the dam body, the linear expansion coefficient of concrete was calculated through correlation analysis. The temperature strain component is calculated based on the linear expansion coefficient and the temperature change during the monitoring period; The temperature strain component is subtracted from the total strain data monitored by the stress gauge to obtain the pure autogenous volumetric deformation component of the concrete.

4. The method for analyzing the time-dependent deformation of arch dams based on multi-source data according to claim 1, characterized in that, The process of determining temperature boundary conditions based on dam ambient temperature and water temperature monitoring data, and then inverting to determine the concrete thermal parameters in the finite element model using internal dam temperature monitoring data, includes: The internal temperature field of the dam body, which is only affected by the temperature boundary conditions, was calculated using finite element positive analysis. Obtain the measured temperature at the center of each section of the dam body after arch sealing grouting, and calculate the difference curve between the measured temperature and the internal temperature field of the dam body affected only by temperature boundary conditions; The difference curve is used as the curve of the later-stage hydration and heating process inside the dam body. The extreme value of the later-stage adiabatic temperature rise and the temperature rise rate coefficient of the concrete are determined by regression analysis and used as the thermal parameters of the concrete.

5. The method for analyzing the time-dependent deformation of arch dams based on multi-source data according to claim 1, characterized in that, The inversion determines the bedrock creep parameters, including: The monitoring data of the inverted plumb line measuring points of the dam foundation are obtained. Based on the spatiotemporal distribution law of bedrock deformation reflected by the monitoring data, the dam foundation of the finite element model is divided into multiple bedrock zones. For each of the bedrock zones, a bedrock creep model containing rheological rate parameters and rheological degree parameters is constructed. Based on the finite element model, a simulation analysis of the entire process of dam construction and operation is conducted. Taking the monitoring data as the target, the rheological rate parameter and the rheological degree parameter of each bedrock zone are adjusted so that the fitting error between the calculated bedrock deformation value obtained from the simulation analysis and the monitoring data meets the preset conditions, and the bedrock creep parameter of each bedrock zone is determined.

6. The method for analyzing the time-dependent deformation of arch dams based on multi-source data according to claim 1, characterized in that, The inversion determines the concrete creep parameters, including: Construct a concrete creep model that includes rheological parameters and rheological rate parameters; Based on the finite element model, the temperature boundary conditions, time-varying water pressure load and self-weight load are introduced, and the determined concrete thermal parameters, concrete self-generated volume deformation parameters and bedrock creep parameters are fixed to conduct simulation analysis of the entire process of arch dam construction, water impoundment and operation. Extract the displacement calculation values ​​of the measuring point positions corresponding to the monitoring data in the full-process simulation analysis; With the goal of minimizing the fitting error between the calculated displacement value and the monitoring data, the rheological parameters and the rheological rate parameters in the concrete creep model are iteratively adjusted to determine the concrete creep parameters.

7. A system for analyzing the time-dependent deformation of arch dams based on multi-source data, characterized in that, include: The first processing module is used to establish a finite element model that includes the dam body and dam foundation; The second processing module is used to determine the temperature boundary conditions based on the monitoring data of the dam's ambient temperature and water temperature, and to invert and determine the thermal parameters of the concrete in the finite element model by combining the internal temperature monitoring data of the dam body. The third processing module is used to determine the self-generated volume deformation parameters of concrete in the finite element model based on the monitoring data reflecting the non-stressed deformation of concrete. The fourth processing module is used to substitute the temperature boundary conditions, the thermal parameters of the concrete, and the self-generated volumetric deformation parameters of the concrete into the finite element model, and under the conditions of applying water pressure load and self-weight load, to invert and determine the bedrock creep parameters. The fifth processing module is used to substitute the temperature boundary conditions, the thermal parameters of the concrete, the self-generated volumetric deformation parameters of the concrete, and the creep parameters of the bedrock into the finite element model, and to invert and determine the creep parameters of the concrete under the conditions of applied water pressure load and self-weight load. The sixth processing module is used to calculate the contribution of temperature, concrete autogenous volume deformation, bedrock creep, and concrete creep to the aging deformation of the arch dam using the finite element model based on the concrete thermal parameters, the concrete autogenous volume deformation parameters, the bedrock creep parameters, and the concrete creep parameters.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the method for analyzing the time-dependent deformation of arch dams based on multi-source data as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for analyzing the time-dependent deformation of arch dams based on multi-source data as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for analyzing the time-dependent deformation of arch dams based on multi-source data as described in any one of claims 1 to 6.

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