Bridge supporting column stress analysis method

Abstract

The invention discloses a bridge support column stress analysis method, which relates to the technical field of stress analysis, establishes a corresponding relation between shooting time data and an experiment support column image, and calculates displacement field data of pixel points between the experiment support column image and a current support column image. According to the method, non-contact measurement is adopted, the stress state of the bridge supporting column can be comprehensively monitored, the stress distribution diagram of the bridge supporting column can be monitored, the stress distribution diagram of the bridge supporting column can be monitored, and the stress distribution diagram of the bridge supporting column can be established according to the plane stress condition and the plane strain condition of the bridge supporting column. The interference of the traditional contact measurement on the stress distribution of the support column is avoided, and the measurement accuracy is improved. Meanwhile, real-time monitoring can be achieved, stress changes can be rapidly captured, the stress state is clearly displayed through visual plane stress and strain distribution diagrams and color codes, a scientific basis is provided for bridge safety assessment and maintenance, and the efficiency and safety of bridge management are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of stress analysis, and particularly to a method for stress analysis of bridge support columns. Background Art

[0002] As an important transportation infrastructure, the safety and stability of bridges are of crucial importance. During the operation of bridges, support columns, as key load-bearing components of bridges, are subjected to the action of various forces such as the self-weight of the bridge, vehicle loads, and wind loads, and are in a complex stress state for a long time. Therefore, accurate and efficient monitoring and analysis of the stress state of bridge support columns are important means for evaluating the overall safety performance of bridges.

[0003] Currently, Chinese Patent with application number CN202211367570.5 discloses a bridge stress detection system, which is applied to the field of detection technology. The technical problem to be solved is the low accuracy rate of bridge stress detection data. The technical solution adopted is a bridge stress detection system, including a preamplifier, an auxiliary detection module, a stress sensor unit, a database module, a stress prediction module, a stress detection module, a difference analysis module, a mobile terminal module, a range marking module, and an abnormal prompt module. A distributed optical fiber sensor is used to detect the stress of the bridge, and a Fabry-Perot interferometer with a collimation structure is combined to measure the bridge length distance by comparing the optical path difference. The optical fiber sensor can simultaneously measure the bridge temperature and strain by measuring the wavelength shift of these two reflection peaks.

[0004] Related technologies are difficult to perform non-contact comprehensive measurement on bridges, difficult to avoid interference with stress during the testing process, and unable to reflect the stress state and changes. Summary of the Invention

[0005] The technical problem solved by the present invention is that related technologies are difficult to perform non-contact comprehensive measurement on bridges, difficult to avoid interference with stress during the testing process, and unable to reflect the stress state and changes.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: A method for stress analysis of bridge support columns includes the following steps: Step S1, collect the current support column image, obtain the camera resolution data, calculate the speckle size data according to the camera resolution data, and input the speckle size data to the spraying equipment terminal; Step S2, set the shooting frame rate data, collect the experimental support column image and the corresponding shooting time data, establish the correspondence between the shooting time data and the experimental support column image, sort the shooting time data, and output it as a continuous image set; Step S3: Preprocess the experimental support column image and the current support column image in the continuous image set, calculate the displacement field data of pixel points between the experimental support column image and the current support column image, calculate the strain field data based on the displacement field data, and obtain the plane stress condition and the plane strain condition according to the strain field data; Obtaining the plane stress condition and the plane strain condition according to the strain field data is as follows: Collect the support column thickness data and the support column planar dimension data; If the absolute value of the difference between the support column thickness data and the support column planar dimension data is greater than the preset dimension difference threshold, calculate the plane stress condition, and combine the normal stress in the x direction on the support column surface under plane stress, the normal stress in the y direction on the support column surface under plane stress, and the shear stress on the support column surface under plane stress and output them as the plane stress condition; If the absolute value of the difference between the support column thickness data and the support column planar dimension data is less than the preset dimension difference threshold, calculate the plane strain condition, and combine the normal stress in the x direction on the support column surface under plane strain, the normal stress in the y direction on the support column surface under plane strain, and the shear stress on the support column surface under plane strain and output them as the plane strain condition; Step S4: Establish a plane stress distribution map and a plane strain distribution map according to the plane stress condition and the plane strain condition, and output the plane stress distribution map data and the plane strain distribution map data.

[0007] Preferably, the step S1 includes the following sub-steps: Step S101: Define the focal length data, input the focal length data into the camera end, and collect the current support column image; Step S102: Obtain the camera resolution data, calculate the speckle size data according to the camera resolution data, where the speckle size data is twice the camera resolution data, and input the speckle size data into the spraying equipment end.

[0008] Preferably, the step S2 includes the following sub-steps: Step S201: Set the shooting frame rate data, and collect the experimental support column image and the corresponding shooting time data; Step S202: Establish the correspondence between the shooting time data and the experimental support column image, sort the shooting time data, and output it as a continuous image set.

[0009] Preferably, the step S3 includes the following sub-steps: Step S301: Preprocess the experimental support column image and the current support column image in the continuous image set, and the preprocessing includes grayscale processing, filtering processing, and sharpening processing; Step S302: Use the SIFT algorithm to detect feature points in the preprocessed experimental support column image and the current support column image respectively, and output the experimental feature point set, the experimental descriptor set corresponding to the experimental feature point set, the current feature point set, and the current descriptor set corresponding to the current feature point set; Step S303: Compare the experimental descriptor set and the current descriptor set, find the matching feature points in the experimental feature point set and the current feature point set, and output the experimental feature point coordinates and the current feature point coordinates; Step S304: Calculate the displacement field data between the experimental feature point coordinates and the current feature point coordinates; Step S305: Calculate the strain field data according to the displacement field data, and the strain field data includes the normal strain data in the x direction, the normal strain data in the y direction, and the shear strain data; Step S306: Obtain the plane stress condition and the plane strain condition according to the strain field data.

[0010] Preferably, the mathematical expression for calculating the displacement field data between the experimental feature point coordinates and the current feature point coordinates in step S304 is: ; Wherein, is the displacement field data, is the abscissa of the experimental feature point coordinates, is the abscissa of the current feature point coordinates, is the ordinate of the experimental feature point coordinates, is the ordinate of the current feature point coordinates.

[0011] Preferably, the mathematical expression for calculating the strain field data in step S305 is: ; Wherein, is the normal strain data in the x direction, is the normal strain data in the y direction, is the shear strain data, is the abscissa of the displacement field data, is the ordinate of the displacement field data, is the component of the displacement field data in the x direction, is the component of the displacement field data in the y direction; Merge the normal strain data in the x direction, the normal strain data in the y direction, and the shear strain data and output them as the strain field data.

[0012] Preferably, the mathematical expression for the plane stress condition in step S306 is: ; Among them, is the normal stress in the x - direction on the surface of the support column under plane stress, is the normal stress in the y - direction on the surface of the support column under plane stress, is the shear stress on the surface of the support column under plane stress, is the elastic modulus, is the Poisson's ratio, is the shear modulus.

[0013] Preferably, the mathematical expression of the plane strain condition in step S306 is: ; Among them, is the normal stress in the x - direction on the surface of the support column under plane strain, is the normal stress in the y - direction on the surface of the support column under plane strain, is the shear stress on the surface of the support column under plane strain.

[0014] Preferably, step S4 includes the following sub - steps: Step S401, set the low - stress threshold, medium - stress threshold, and high - stress threshold of plane stress, assign color codes to the low - stress threshold, medium - stress threshold, and high - stress threshold of plane stress respectively, output as the first color code, map the plane stress condition to the output of the first color code, and output the plane stress distribution map data.

[0015] Preferably, step S4 further includes step S402, set the low - stress threshold, medium - stress threshold, and high - stress threshold of plane strain, assign color codes to the low - stress threshold, medium - stress threshold, and high - stress threshold of plane strain respectively, output as the second color code, map the plane strain condition to the output of the second color code, and output the plane strain distribution map data.

[0016] The beneficial effects of the present invention: The present invention adopts non - contact measurement, can comprehensively monitor the stress state of the bridge support column, avoids the interference of traditional contact measurement on the stress distribution of the support column, and improves the measurement accuracy. At the same time, it can achieve real - time monitoring, quickly capture stress changes, and clearly display the stress state through intuitive plane stress and strain distribution maps and color codes, providing a scientific basis for bridge safety assessment and maintenance, and effectively improving the efficiency and safety of bridge management. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is the step - flow chart of a method for analyzing the stress of a bridge support column provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0018] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following provides a detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them.

[0019] Example, referring to Figure 1 , a method for stress analysis of bridge support columns is provided, including the following steps: Step S1, collect the current support column image, obtain the camera resolution data, calculate the speckle size data according to the camera resolution data, and input the speckle size data to the spraying equipment terminal; Step S2, set the shooting frame rate data, collect the experimental support column image and the corresponding shooting time data, establish the correspondence between the shooting time data and the experimental support column image, sort the shooting time data, and output it as a continuous image set; Step S3, preprocess the experimental support column image and the current support column image in the continuous image set, calculate the displacement field data of the pixel points between the experimental support column image and the current support column image, calculate the strain field data according to the displacement field data, and obtain the plane stress condition and the plane strain condition according to the strain field data; Step S4, establish a plane stress distribution map and a plane strain distribution map according to the plane stress condition and the plane strain condition, and output the plane stress distribution map data and the plane strain distribution map data.

[0020] Step S1 includes the following sub-steps: Step S101, define the focal length data, input the focal length data to the camera terminal, and collect the current support column image.

[0021] By defining and inputting the focal length data to the camera terminal in Step S101, it ensures that the collected current support column image has appropriate clarity and field of view, providing high-quality raw data for subsequent image processing.

[0022] Step S102, obtain the camera resolution data, calculate the speckle size data according to the camera resolution data, the speckle size data is 2 times the camera resolution data, and input the speckle size data to the spraying equipment terminal.

[0023] In Step S102, according to the camera resolution data, the size of the speckle is accurately calculated. This size is 2 times the camera resolution data, ensuring the clarity and recognizability of the speckle in the image, which is crucial for subsequent displacement and strain measurements. Inputting the calculated speckle size to the spraying equipment terminal provides accurate parameters for spraying speckles on the surface of the support column, thereby improving the accuracy and reliability of DIC analysis.

[0024] Step S1 realizes the acquisition of the current support column image and calculates the size suitable for spraying scattered spots based on the camera parameters, providing a basis for subsequent digital image correlation analysis.

[0025] Step S2 includes the following sub-steps: Step S201, set the shooting frame rate data, acquire the experimental support column image and the corresponding shooting time data.

[0026] By reasonably setting the shooting frame rate data in Step S201, it is ensured that the acquired experimental support column images can capture the deformation details of the support column at different time points. At the same time, the corresponding shooting time data is recorded, providing reference information in the time dimension for subsequent analysis.

[0027] Step S202, establish the correspondence between the shooting time data and the experimental support column image, sort the shooting time data, and output it as a continuous image set.

[0028] Step S202 establishes an accurate correspondence between the shooting time data and the experimental support column image, enabling each image to be accurately matched with its shooting time. By sorting the shooting time data, an ordered continuous image set is generated, which helps to analyze the change trend of the support column deformation over time and provides strong support for subsequent digital image correlation analysis.

[0029] By setting the shooting frame rate and acquiring the images of the experimental support column and the corresponding shooting time data in Step S2, an accurate correspondence between time and image is successfully established, and an ordered continuous image set is generated, providing a key data basis for analyzing the deformation of the support column at different time points.

[0030] Step S3 includes the following sub-steps: Step S301, preprocess the experimental support column image and the current support column image in the continuous image set. The preprocessing includes grayscale processing, filtering processing, and sharpening processing; Through grayscale processing, filtering processing, and sharpening processing in Step S301, the quality and contrast of the image are effectively improved, and noise interference is reduced, providing a clear and accurate image basis for subsequent feature point detection and matching.

[0031] Step S302, use the SIFT algorithm to detect feature points in the preprocessed experimental support column image and the current support column image respectively, and output an experimental feature point set, an experimental descriptor set corresponding to the experimental feature point set, a current feature point set, and a current descriptor set corresponding to the current feature point set; In step S302, the SIFT algorithm successfully detected the feature points in the experimental support column image and the current support column image, and generated the corresponding descriptor sets. These feature points and descriptors provided a reliable basis for subsequent feature point matching.

[0032] In step S303, compare the experimental descriptor set and the current descriptor set, find the matching feature points in the experimental feature point set and the current feature point set, and output the experimental feature point coordinates and the current feature point coordinates; In step S303, by comparing the experimental descriptor set and the current descriptor set, the matching feature points in the experimental feature point set and the current feature point set were successfully found, and their coordinate information was output, providing an accurate position reference for calculating the displacement field data.

[0033] In step S304, calculate the displacement field data between the experimental feature point coordinates and the current feature point coordinates; In step S305, calculate the strain field data according to the displacement field data, where the strain field data includes the normal strain data in the x direction, the normal strain data in the y direction, and the shear strain data; In step S306, obtain the plane stress condition and the plane strain condition according to the strain field data.

[0034] The mathematical expression for calculating the displacement field data between the experimental feature point coordinates and the current feature point coordinates in step S304 is: ; Where is the displacement field data, is the abscissa of the experimental feature point coordinates, is the abscissa of the current feature point coordinates, is the ordinate of the experimental feature point coordinates, is the ordinate of the current feature point coordinates; In step S304, according to the coordinate information of the matching feature points, the displacement field data between the experimental feature point coordinates and the current feature point coordinates was calculated, reflecting the deformation of the support column at different time points.

[0035] The mathematical expression for calculating the strain field data in step S305 is: ; Where is the normal strain data in the x direction, is the normal strain data in the y direction, is the shear strain data, is the abscissa of the displacement field data, is the ordinate of the displacement field data, is the component of the displacement field data in the x direction, is the component of the displacement field data in the y direction; Combine the normal strain data in the x direction, the normal strain data in the y direction, and the shear strain data and output them as strain field data.

[0036] Step S305 further calculates the strain field data based on the displacement field data, including the normal strain data in the x direction, the normal strain data in the y direction, and the shear strain data, providing a direct basis for evaluating the strain state of the support column.

[0037] Step S306 obtains the plane stress condition and the plane strain condition according to the strain field data as follows: Collect the support column thickness data and the support column plane dimension data.

[0038] If the absolute value of the difference between the support column thickness data and the support column plane dimension data is greater than a preset dimension difference threshold, calculate the plane stress condition, and the mathematical expression of the plane stress condition is: ; where is the normal stress on the surface of the support column in the x direction under plane stress, is the normal stress on the surface of the support column in the y direction under plane stress, is the shear stress on the surface of the support column under plane stress, is the elastic modulus, is the Poisson's ratio, is the shear modulus; Combine the normal stress on the surface of the support column in the x direction under plane stress, the normal stress on the surface of the support column in the y direction under plane stress, and the shear stress on the surface of the support column under plane stress and output them as the plane stress condition.

[0039] If the absolute value of the difference between the support column thickness data and the support column plane dimension data in Step S306 is less than the preset dimension difference threshold, calculate the plane strain condition, and the mathematical expression of the plane strain condition is: ; where is the normal stress on the surface of the support column in the x direction under plane strain, is the normal stress on the surface of the support column in the y direction under plane strain, is the shear stress on the surface of the support column under plane strain; Combine the normal stress on the surface of the support column in the x direction under plane strain, the normal stress on the surface of the support column in the y direction under plane strain, and the shear stress on the surface of the support column under plane strain and output them as the plane strain condition; Step S306 successfully determined whether the support column was under plane stress conditions or plane strain conditions based on the thickness data and planar dimension data of the support column, as well as a preset dimension difference threshold, and calculated the corresponding stress or strain states respectively, providing important reference information for evaluating the mechanical properties and safety of the support column. At the same time, the calculation results were presented in a clear and intuitive manner for easy understanding and analysis by engineering personnel.

[0040] Step S3 calculated the displacement field data and strain field data by performing a series of image processing and analysis on the experimental support column images and the current support column images in the continuous image set, and further deduced the plane stress conditions or plane strain conditions based on this, providing key data support for evaluating the mechanical properties and safety of the bridge support column.

[0041] Step S4 includes the following sub-steps: Step S401 sets the low plane stress threshold, medium plane stress threshold, and high plane stress threshold, assigns color codes to the low plane stress threshold, medium plane stress threshold, and high plane stress threshold respectively, outputs them as the first color code, maps the plane stress conditions to the output of the first color code, and outputs the plane stress distribution map data.

[0042] By setting the low plane stress threshold, medium plane stress threshold, and high plane stress threshold and assigning color codes to these thresholds, Step S401 successfully converts the plane stress conditions into a color-coded form. This not only makes the stress data more intuitive and understandable but also provides a basis for subsequently mapping the plane stress conditions to the color code. By mapping the plane stress conditions to the color code, the plane stress distribution map data is output, enabling engineering personnel to clearly see the stress distribution of the support column under different plane stress conditions.

[0043] Step S4 also includes Step S402, which sets the low plane strain threshold, medium plane strain threshold, and high plane strain threshold, assigns color codes to the low plane strain threshold, medium plane strain threshold, and high plane strain threshold respectively, outputs them as the second color code, maps the plane strain conditions to the output of the second color code, and outputs the plane strain distribution map data.

[0044] By setting the low plane strain threshold, medium plane strain threshold, and high plane strain threshold and assigning color codes to these thresholds, Step S402 successfully converts the plane strain conditions into a color-coded form. By mapping the plane strain conditions to the color code, the plane strain distribution map data is output, enabling engineering personnel to clearly see the stress distribution of the support column under different plane strain conditions. This process also provides strong support for subsequent decision-making and analysis.

[0045] Step S4 successfully maps the plane stress condition and the plane strain condition onto color coding by setting a stress threshold and assigning color coding, and outputs intuitive plane stress distribution map data and plane strain distribution map data. These graphical data provide a clear visual display for engineers, facilitating their quick identification and understanding of the stress distribution of the support columns under different stress conditions, and providing strong support for subsequent decision-making and analysis.

[0046] The present invention can realize the comprehensive monitoring of the surface of the support column by collecting the image of the support column through a camera and using an image processing algorithm to process and analyze the image. Compared with the traditional contact measurement method, this method does not need to paste sensors on the surface of the support column, avoiding the measurement blind area caused by the limited number of sensors, improving the comprehensiveness and accuracy of the measurement. The non-contact measurement method will not have a direct impact on the stress distribution of the support column, avoiding the stress concentration and measurement error caused by sensor pasting in the traditional contact measurement method. Therefore, the present invention can more accurately reflect the true stress state of the support column. By setting the shooting frame rate data, the present invention can collect the image of the support column in real time and quickly calculate the displacement field and strain field data to realize the real-time monitoring of the stress state of the support column. This helps to timely detect the stress abnormality and potential safety hazards of the support column, providing strong guarantee for the safe operation of the bridge. The present invention calculates the plane stress condition and the plane strain condition according to the strain field data and generates a plane stress distribution map and a plane strain distribution map. Through the way of color coding, the stress state and changes are intuitively presented, facilitating engineers to quickly understand and analyze the stress situation of the support column and providing a scientific basis for the maintenance and management of the bridge.

[0047] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. Among them, the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions can also be stored in a computer-readable memory capable of guiding a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device, and the instruction device implements the functions specified in Figure 1 one process or multiple processes and / or Figure 1 boxes or multiple boxes.

[0048] 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 preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A bridge support column stress analysis method, characterized in that: The steps include: Step S1, collecting the current support column image, obtaining camera resolution data, calculating scattered spot size data according to the camera resolution data, and inputting the scattered spot size data to the spraying equipment end; Step S2, setting shooting frame rate data, collecting experimental support column images and corresponding shooting time data, establishing a corresponding relationship between the shooting time data and the experimental support column images, sorting the shooting time data, and outputting them as a continuous image set; Step S3, preprocessing the experimental support column image and the current support column image in the continuous image set, calculating the displacement field data of the pixel points between the experimental support column image and the current support column image, calculating the strain field data according to the displacement field data, and obtaining the plane stress condition and the plane strain condition according to the strain field data; According to the strain field data, the plane stress condition and plane strain condition are obtained as follows: Collect support column thickness data and support column plane dimension data; If the absolute value of the difference between the support column thickness data and the support column plane size data is greater than the preset size difference threshold, the plane stress condition is calculated, and the normal stress on the support column surface in the x direction under plane stress, the normal stress on the support column surface in the y direction under plane stress, and the shear stress on the support column surface under plane stress are combined and output as the plane stress condition; If the absolute value of the difference between the support column thickness data and the support column plane size data is less than the preset size difference threshold, the plane strain condition is calculated, and the normal stress on the support column surface in the x direction under plane strain, the normal stress on the support column surface in the y direction under plane strain, and the shear stress on the support column surface under plane strain are combined and output as the plane strain condition; Step S4, establishing a plane stress distribution diagram and a plane strain distribution diagram according to the plane stress condition and the plane strain condition, and outputting the plane stress distribution diagram data and the plane strain distribution diagram data.

2. A bridge support column stress analysis method according to claim 1, characterized in that: The step S1 includes the following sub-steps: Step S101, defining focal length data, inputting the focal length data into the camera end, and collecting the current support column image; Step S102, acquiring camera resolution data, calculating scattered spot size data according to the camera resolution data, wherein the scattered spot size data is twice the camera resolution data, and inputting the scattered spot size data into the spraying equipment end.

3. A bridge support column stress analysis method as claimed in claim 2, characterized in that: The step S2 includes the following sub-steps: Step S201, setting shooting frame rate data, collecting experimental support column images and corresponding shooting time data; Step S202, establishing a corresponding relationship between the shooting time data and the experimental support column image, sorting the shooting time data, and outputting it as a continuous image set.

4. A bridge support column stress analysis method as claimed in claim 3, characterized in that: The step S3 includes the following sub-steps: Step S301, preprocessing the experimental support column image and the current support column image in the continuous image set, wherein the preprocessing includes grayscale processing, filtering processing and sharpening processing; Step S302, using the SIFT algorithm to perform feature point detection on the preprocessed experimental support column image and the current support column image, and outputting an experimental feature point set, an experimental descriptor set corresponding to the experimental feature point set, a current feature point set, and a current descriptor set corresponding to the current feature point set; Step S303, comparing the experimental descriptor set and the current descriptor set, searching for matching feature points in the experimental feature point set and the current feature point set, and outputting the experimental feature point coordinates and the current feature point coordinates; Step S304, calculating the displacement field data between the experimental feature point coordinates and the current feature point coordinates; Step S305, calculating strain field data according to the displacement field data, wherein the strain field data includes normal strain data in the x-direction, normal strain data in the y-direction, and shear strain data; Step S306, obtaining plane stress conditions and plane strain conditions according to the strain field data.

5. A bridge support column stress analysis method as claimed in claim 4, characterized in that: The mathematical expression for calculating the displacement field data between the experimental feature point coordinates and the current feature point coordinates in step S304 is: ； in, is the displacement field data, is the horizontal coordinate of the experimental feature point coordinates, is the horizontal coordinate of the current feature point coordinate, is the ordinate of the experimental feature point coordinates, The vertical coordinate of the current feature point.

6. A bridge support column stress analysis method as claimed in claim 5, characterized in that: The mathematical expression for calculating the strain field data in step S305 is: ； in, is the normal strain data in the x direction, is the normal strain data in the y direction, is the shear strain data, is the horizontal coordinate of the displacement field data, is the ordinate of the displacement field data, is the component of the displacement field data in the x direction, is the component of the displacement field data in the y direction; The normal strain data in the x-direction, the normal strain data in the y-direction, and the shear strain data are combined and output as strain field data.

7. A bridge support column stress analysis method as claimed in claim 6, characterized in that: The mathematical expression of the plane stress condition in step S306 is: ； in, is the normal stress on the support column surface in the x direction under plane stress, is the normal stress on the support column surface in the y direction under plane stress, is the shear stress on the support column surface under plane stress, is the elastic modulus, is Poisson's ratio, is the shear modulus.

8. A bridge support column stress analysis method as claimed in claim 7, characterized in that: The mathematical expression of the plane strain condition in step S306 is: ； in, is the normal stress on the support column surface in the x direction under plane strain, is the normal stress on the support column surface in the y direction under plane strain, is the shear stress on the support column surface under plane strain.

9. A bridge support column stress analysis method as claimed in claim 8, characterized in that: The step S4 includes the following sub-steps: Step S401, setting a plane stress low stress threshold, a plane stress medium stress threshold and a plane stress high stress threshold, assigning color codes to the plane stress low stress threshold, the plane stress medium stress threshold and the plane stress high stress threshold respectively, outputting the first color code, mapping the plane stress condition to the output of the first color code, and outputting plane stress distribution map data.

10. A bridge support column stress analysis method according to claim 9, characterized in that: The step S4 also includes a step S402, setting a plane strain low stress threshold, a plane strain medium stress threshold, and a plane strain high stress threshold, assigning color codes to the plane strain low stress threshold, the plane strain medium stress threshold, and the plane strain high stress threshold, respectively, outputting the second color code, mapping the plane strain condition to the second color code output, and outputting the plane strain distribution map data.

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