Simple plane gate wheel pressure test method
Patent Information
- Application Number
- CN202511513370.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-22
- Publication Date
- 2026-08-21
- Estimated Expiration
- 2045-10-22
AI Technical Summary
[0004]针对现有技术的不足,本发明提供了一种简易平面闸门轮压测试方法,该发明要解决的技术问题是:如何通过分级加压处理、应力采集、弯矩计算、曲线拟合和异常修正,解决平面闸门轮压测试中轮压分布不准确、异常数据干扰的问题
该简易平面闸门轮压测试方法,通过分级加压处理、应力采集处理、弯矩计算处理、曲线拟合等步骤,实现了对平面闸门轮压的精确测试与分析。通过处理,获得稳定且高精度的轮压分布结果,提高测试过程的准确性和可重复性。
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Abstract
Description
Technical Field
[0001] This invention relates to the field of hydraulic structure inspection and operational safety monitoring technology, specifically a simple method for testing wheel pressure on a planar gate. Background Technology
[0002] Currently, during the operation of existing hydraulic structures and gates, the roller pressure distribution directly affects the gate's opening and closing stability and structural safety. Traditional testing methods involve installing stress gauges on the rollers or their supports to obtain the roller's stress state. Common methods include arranging stress measuring points on the web of the roller support side and combining this with horizontal loading tests to deduce the roller's stress variation trend. Based on mechanical testing principles, calculations are performed using the relationship between mid-span stress and bending moment in a simply supported beam to indirectly reflect the roller pressure. A linear correlation exists between horizontal load and the stress in the support web; the roller pressure distribution is calculated using stress data. In practical engineering, roller loads are often tested using a graded loading method, and the test data is used to plot the roller stress variation curve, providing a reference for the gate structure's operational safety.
[0003] Existing testing methods have significant drawbacks in practical applications. Directly measuring roller pressure is difficult, requiring indirect derivation based on web stress. This leads to testing accuracy being affected by multiple factors, including equipment material, measuring point arrangement, and loading method. Insufficient strength of the loading device or damage to the roller's outer diaphragm can easily cause data deviations, affecting the continuity of subsequent tests. Furthermore, existing methods largely remain at the qualitative analysis stage, lacking intuitive and stable quantitative characterization of the total roller pressure and its distribution, making it difficult to meet the needs for efficient and reliable assessment of gate safety operation. Summary of the Invention
[0004] To address the shortcomings of existing technologies, this invention provides a simplified method for testing wheel pressure on planar gates. The technical problem this invention aims to solve is how to address the issues of inaccurate wheel pressure distribution and abnormal data interference in planar gate wheel pressure testing through graded pressurization, stress acquisition, bending moment calculation, curve fitting, and anomaly correction.
[0005] To achieve the above objectives, the present invention provides the following technical solution: a simplified method for testing the wheel pressure of a planar gate, comprising: S1. The planar gate is naturally lowered to the bottom sill position, and the planar gate is subjected to graded pressurization to form a pressure state sequence. The graded pressurization is performed using a horizontal pressurization device. S2. The stress state sequence is subjected to stress acquisition processing to form a multi-point stress dataset. The stress acquisition processing is performed by arranging stress gauges on the web of the roller support side plate and the outer edge side wall of the roller. S3. Perform bending moment calculation on the multi-point stress dataset to form initial wheel pressure values, and perform partitioned weighted processing on the initial wheel pressure values to form quantitative indexes of roller stress characteristics. The bending moment calculation process adopts a simply supported beam bending moment calculation model. S4. Perform curve fitting on the quantitative index of the roller force characteristics to form a linear correlation coefficient. The curve fitting process uses the least squares regression method. Based on the linear correlation coefficient, the initial value of the wheel pressure is corrected, and the wheel pressure distribution result is formed based on the correction process. S5. The wheel pressure distribution result is subjected to anomaly correction processing to form a stable quantification result. The anomaly correction processing adopts a combination of characteristic curve deviation threshold identification and interpolation regression method.
[0006] Preferably, the loading level difference of the graded pressurization process is set to 5MPa-10MPa, and the horizontal pressurization device is a hydraulic loading system, which includes a hydraulic cylinder, a control valve group and an oil pressure sensor.
[0007] Preferably, the stress acquisition and processing involves arranging no less than 5 stress measurement points on the web of each roller support and no less than 2 stress measurement points on the outer sidewall of each roller to form the multi-point stress dataset. The stress gauge includes a resistance strain gauge and a fiber optic strain gauge.
[0008] Preferably, the calculation formula for the bending moment calculation model of the simply supported beam is: .
[0009] in, The initial value of the wheel pressure is given, in units of... The stress value at the i-th measuring point is expressed in units of n / , The section modulus of the section where the i-th measuring point is located, in units of This is the correction factor for the measurement point location; it is dimensionless and ranges from 0.8 to 1.2. The span of a simply supported beam is given in units of 1 / 2000. This represents the total number of measurement points.
[0010] Preferably, the partition weighting process adopts a weighted average method of the stress value of the measuring point and the area affected by the force. The quantitative index of the roller force characteristics includes the total force on the roller and the uniformity of distribution. The uniformity of distribution is characterized by the ratio of the standard deviation of the force in different partitions to the weighted average value.
[0011] Preferably, the linear correlation coefficient ranges from 80kN / MPa to 95kN / MPa, the least squares regression method is used to fit the stress-load curve, and the correction process uses a weighted correction method.
[0012] Preferably, the characteristic curve deviation threshold identification is achieved by comparing the force value of the measuring point in the wheel pressure distribution result with the quantitative index of the force characteristic of the roller, forming a comparison result based on the comparison, and when the deviation of the comparison result is greater than ±10% of the preset threshold range, the force value of the measuring point is determined as abnormal data, and the preset threshold is determined according to the ratio of the statistical standard deviation to the average value of historical test data.
[0013] Preferably, the interpolation regression method includes linear interpolation and polynomial regression. When the outlier data appears in isolation, the linear interpolation method is used for correction, and when the outlier data appears continuously, the polynomial regression method is used for correction, so as to ensure the formation of stable quantitative results.
[0014] This invention provides a simple method for testing the wheel pressure of a planar gate. It has the following advantages: This simplified method for testing wheel pressure on planar gates achieves accurate testing and analysis of wheel pressure through steps such as graded pressurization, stress acquisition, bending moment calculation, and curve fitting. The process yields stable and highly accurate wheel pressure distribution results, improving the accuracy and repeatability of the testing process.
[0015] By employing techniques such as a hydraulic loading system, stress gauge arrangement, a simply supported beam bending moment calculation model, and the least squares regression method, the reliability of the wheel pressure distribution results was improved. Through the correction and processing of outlier data, stable quantitative results were generated, ensuring that abnormal data occurring during the testing process did not affect the final analysis results. Attached Figure Description
[0016] Figure 1 This is a flowchart illustrating the overall testing method of the present invention. Figure 2 This is a schematic diagram of the stress acquisition measurement point layout for this invention; Figure 3 This is a flowchart of the structural anomaly correction process of the present invention; Figure 4 This is a schematic diagram of the on-site testing of roller pressure according to the present invention. Detailed Implementation
[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0018] Example 1 like Figure 1-4As shown, this embodiment of the invention provides a simple method for testing the wheel pressure of a planar gate, including: S1. placing the planar gate naturally at the bottom sill position, and performing graded pressurization on the planar gate to form a pressure state sequence. The graded pressurization process uses a horizontal pressurization device. The loading level difference of the graded pressurization process is set to 5MPa-10MPa. The horizontal pressurization device is a hydraulic loading system, which includes a hydraulic cylinder, a control valve group, and an oil pressure sensor.
[0019] S2. Stress acquisition and processing are performed on the pressure state sequence to form a multi-point stress dataset. Stress acquisition and processing is carried out by arranging stress gauges on the web of the roller support and the outer edge sidewall of the roller. At least 5 stress measurement points are arranged on each roller support web and at least 2 stress measurement points are arranged on each roller outer edge sidewall to form a multi-point stress dataset. The stress gauges include resistance strain gauges and fiber optic strain gauges.
[0020] S3. The multi-point stress dataset is processed to calculate bending moments to generate initial wheel pressure values. These initial wheel pressure values are then subjected to partitioned weighting to generate quantitative indices of the roller's stress characteristics. The bending moment calculation uses a simply supported beam bending moment calculation model. The calculation formula for the simply supported beam bending moment calculation model is: .
[0021] in, This is the initial value of the wheel pressure, in units of... The stress value at the i-th measuring point is expressed in units of n / , The section modulus of the section where the i-th measuring point is located, in units of This is the correction factor for the measurement point location; it is dimensionless and ranges from 0.8 to 1.2. The span of a simply supported beam is given in units of 1 / 2000. This represents the total number of measurement points.
[0022] The zone-weighted processing adopts a weighted average method of stress value at measuring points and area affected by force. The quantitative indicators of roller force characteristics include total roller force and distribution uniformity. Distribution uniformity is characterized by the ratio of the standard deviation of force in different zones to the weighted average.
[0023] The zone-weighted processing method, by weighting the stress values at measuring points according to the stress area, more accurately reflects the stress situation of the roller. The resulting quantitative index of roller stress characteristics can more comprehensively describe the stress distribution.
[0024] S4. The quantitative indicators of the roller's stress characteristics are subjected to curve fitting to generate a linear correlation coefficient. The curve fitting process uses the least squares regression method. Based on the linear correlation coefficient, the initial wheel pressure value is corrected, and the wheel pressure distribution result is generated based on the correction. The linear correlation coefficient ranges from 80kN / MPa to 95kN / MPa. The least squares regression method is used to fit the stress-load curve, and the correction process uses a weighted correction method.
[0025] Curve fitting was performed using the least squares regression method to generate a linear correlation coefficient. The initial wheel pressure value was corrected, improving the prediction accuracy of wheel pressure distribution. Through curve fitting, the initial wheel pressure distribution value was accurately adjusted, enhancing the reliability of the measurement results.
[0026] S5. Anomaly correction is performed on the wheel pressure distribution results to form stable quantitative results. Anomaly correction employs a combination of characteristic curve deviation threshold identification and interpolation regression. Characteristic curve deviation threshold identification compares the force values at the measuring points in the wheel pressure distribution results with the roller force characteristic quantitative index. Based on this comparison, a comparison result is generated. When the deviation of the comparison result exceeds a preset threshold range of ±10%, the force value at the measuring point is determined as abnormal data. The preset threshold is determined based on the ratio of the statistical standard deviation to the mean of historical test data. Interpolation regression includes linear interpolation and polynomial regression. When abnormal data appears in isolation, linear interpolation is used for correction; when abnormal data appears continuously, polynomial regression is used to ensure the formation of stable quantitative results.
[0027] Anomaly correction is achieved by combining characteristic curve deviation threshold identification with interpolation and regression methods to correct outlier data. If the outlier is an isolated point, linear interpolation is used for correction. If the outlier occurs continuously, multinomial regression is used, ensuring the stability of the results and improving the accuracy of the quantification.
[0028] Example 2 This embodiment is based on a simplified planar gate roller pressure test method. Using stress gauge data and simply supported beam theory, it analyzes the roller pressure load distribution of the planar gate rollers and evaluates the uniformity and total amount of stress on each roller. The specific implementation method is as follows: 1. Solution Direction In the design and testing of planar gates, the stress condition of the rollers is crucial to the gate's performance and stability. Because the horizontal loading method differs from the actual water flow pressure, the pressure distribution on each roller will vary. To accurately analyze the stress condition of the rollers, a wheel pressure load analysis method based on simply supported beam theory was adopted. Through stress gauge placement and measurement data, the pressure distribution of each roller was calculated.
[0029] 2. Experimental Design and Data Acquisition A total of 7 stress measuring points were arranged on each roller: 5 on the supporting web and 2 on the outer edge sidewall. The actual test data collected for the 3 rollers are as follows: Roller 1: Measuring point 1: σ1=785N / m², Measuring point 2: σ2=795N / m², Measuring point 3: σ3=790N / m², Measuring point 4: σ4=800N / m², Measuring point 5: σ5=780N / m², Measuring point 6: σ6=785 N / m², Measuring point 7: σ7=790N / m².
[0030] Roller 2: Measuring point 1: σ1=925 N / m², Measuring point 2: σ2=930 N / m², Measuring point 3: σ3=920 N / m², Measuring point 4: σ4=915 N / m², Measuring point 5: σ5=930 N / m², Measuring point 6: σ6=920 N / m², Measuring point 7: σ7=910 N / m².
[0031] Roller 3: Measuring point 1: σ1=765 N / m², Measuring point 2: σ2=770 N / m², Measuring point 3: σ3=760 N / m², Measuring point 4: σ4=755 N / m², Measuring point 5: σ5=765 N / m², Measuring point 6: σ6=770 N / m², Measuring point 7: σ7=760 N / m².
[0032] 3. Parameters of simply supported beams The span of the simply supported beam is determined based on the geometric dimensions of the experimental setup and the gate design. The measuring points are uniformly located, and there is no positional deviation for any of the measuring points; that is, the measuring point position correction coefficient is: Based on the roller's geometry and design, the section modulus is calculated using the moment of inertia and material properties. .
[0033] 4. Calculation of initial wheel pressure The formula for calculating the bending moment of a simply supported beam is as follows: .
[0034] in, This is the initial value of the wheel pressure, in units of... The stress value at the i-th measuring point is expressed in units of n / , The section modulus of the section where the i-th measuring point is located, in units of This is the correction factor for the measurement point location; it is dimensionless and ranges from 0.8 to 1.2. The span of a simply supported beam is given in units of 1 / 2000. This represents the total number of measurement points.
[0035] Calculations for roller 1: Calculate each item: Add all the items together: .
[0036] Finally, calculate the initial wheel pressure: The same calculation process was used for rollers 2 and 3, and the results were: 5. Analysis of total wheel pressure and uniformity Total wheel pressure calculation results: , , .
[0037] Uniformity analysis: Calculate the standard deviation for the pressure data of each roller. The formula for calculating the standard deviation is: Scroll 1: Average value The standard deviation is .
[0038] Roller 2: Average value The standard deviation is .
[0039] Scroll 3: Average value The standard deviation is .
[0040] The initial pressure of roller 1 is 55.25 N, and the standard deviation is 6.23 N / m².
[0041] The initial pressure of roller 2 is 64.5 N, and the standard deviation is 6.5 N / m².
[0042] The initial pressure of roller 3 is 53.45 N, and the standard deviation is 5.15 N / m².
[0043] 6. Conclusion The pressure distribution of rollers 1 and 2 is relatively uniform, meeting the design requirements. The pressure distribution of roller 3 is relatively uniform, but the standard deviation is small. Further design optimization or adjustment of roller positions is needed to improve the overall uniformity of force distribution.
[0044] For roller 3, consider adjusting the position of the roller or increasing the support to improve the pressure distribution, make it more uniform, and ensure the stability of the gate system.
[0045] Analysis of the initial pressure values and standard deviations of the three sets of rollers revealed that rollers 1 and 2 exhibit relatively uniform pressure distribution, meeting design requirements and indicating stable stress conditions suitable for continued use. While roller 3 also shows relatively uniform pressure distribution, its standard deviation is small, indicating some localized non-uniformity. It is recommended that roller 3 be repositioned or its support structure reinforced to optimize pressure distribution and ensure the stability and long-term reliability of the gate system.
[0046] Example 3 This embodiment is based on a simplified planar gate wheel pressure test method. Using a simply supported beam bending moment calculation model, combined with stress data and weighted processing, it accurately assesses the stress state of the roller, providing a scientific basis for the optimized design and performance evaluation of the equipment. The specific implementation method is as follows: 1. Data Acquisition and Measurement Point Layout In a static load test, resistance strain gauges and fiber optic strain gauges were used to measure the stress on a roller. Five measuring points were set up for a specific roller: three on the supporting web and two on the outer edge sidewall. The specific measurement data are as follows: Roller stress data: Measuring point 1: Stress value Measuring point 2: Stress value Measuring point 3: Stress value Measuring point 4: Stress value Measuring point 5: Stress value The above data are all from roller load tests, which used a hydraulic loading system to collect stress data at different pressure levels.
[0047] 2. Bending moment calculation The formula for calculating the bending moment of a simply supported beam is as follows: .
[0048] in, This is the initial value of the wheel pressure, in units of... The stress value at the i-th measuring point is expressed in units of n / , The section modulus of the section where the i-th measuring point is located, in units of This is the correction factor for the measurement point location; it is dimensionless and ranges from 0.8 to 1.2. The span of a simply supported beam is given in units of 1 / 2000. This represents the total number of measurement points.
[0049] When the span of a simply supported beam Section modulus They are respectively , , , , Position correction factor They are respectively , , , , hour: Calculate the contribution of each measuring point based on the bending moment formula for a simply supported beam: For the calculation of measuring point 1: For the calculation of measuring point 2: For the calculation of measuring point 3: For the calculation of measuring point 4: For the calculation of measuring point 5: 3. Calculation of initial value of total wheel pressure The total bending moment is obtained by summing the contributions from all measuring points. : .
[0050] 4. Weighted processing The total force on the roller is obtained by weighted averaging of the stress, section modulus, and correction factor at each measuring point. The weighting process takes into account the influence of each measuring point and evaluates the uniformity of the force distribution on the roller. The uniformity of distribution can be quantified by the ratio of the standard deviation to the weighted average.
[0051] 5. Anomaly Correction and Result Correction Anomaly identification: Anomalies are identified by comparing the actual data with a preset deviation threshold of ±10%. When the stress value at measuring point 4 is 36 MPa, which exceeds the normal range, it is due to testing error and needs to be marked as an anomaly.
[0052] Anomaly correction: Interpolation is used to correct abnormal data to ensure the stability of the final result.
[0053] 6. Generation of stable results By using weighted averaging and correcting for outliers, the final force distribution of the roller was obtained. The corrected data provides a reliable basis for subsequent analysis and optimization.
[0054] This implementation scheme accurately assessed the stress on the roller using a simply supported beam bending moment calculation model. By collecting stress data from different measuring points and combining it with the simply supported beam bending moment formula, the initial roller pressure was calculated. The data from each measuring point was weighted, taking into account the stress region and correction coefficients. Abnormal data in the experiment were identified and corrected to ensure the stability and accuracy of the final results. The obtained stress distribution results provide reliable data support for roller design optimization and performance improvement, and lay the foundation for subsequent safety analysis and engineering applications.
[0055] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A simplified method for testing the wheel pressure of a planar gate, characterized in that, include: S1. The planar gate is naturally lowered to the bottom sill position, and the planar gate is subjected to graded pressurization to form a pressure state sequence. The graded pressurization is performed using a horizontal pressurization device. S2. The stress state sequence is subjected to stress acquisition processing to form a multi-point stress dataset. The stress acquisition processing is performed by arranging stress gauges on the web of the roller support side plate and the outer edge side wall of the roller. S3. Perform bending moment calculation on the multi-point stress dataset to form initial wheel pressure values. Then, perform partitioned weighting on these initial wheel pressure values to form quantitative indicators of the roller's stress characteristics. The bending moment calculation uses a simply supported beam bending moment calculation model, and the calculation formula for this model is: , in, The initial value of the wheel pressure, Let i be the stress value at the i-th measuring point. The section modulus of the section where the i-th measuring point is located. This is the correction factor for the measurement point location, with a value ranging from 0.8 to 1.
2. For the span of a simply supported beam, This represents the total number of measurement points. The partition weighted processing adopts a weighted average method of stress value at measuring point and area affected by force. The quantitative index of roller force characteristics includes total roller force and distribution uniformity. The distribution uniformity is characterized by the ratio of the standard deviation of force in different partitions to the weighted average. S4. Perform curve fitting on the quantitative index of the roller force characteristics to form a linear correlation coefficient. The curve fitting process uses the least squares regression method. Based on the linear correlation coefficient, the initial value of the wheel pressure is corrected, and the wheel pressure distribution result is formed based on the correction process. S5. The wheel pressure distribution result is subjected to anomaly correction processing to form a stable quantification result. The anomaly correction processing adopts a combination of characteristic curve deviation threshold identification and interpolation regression method.
2. The simplified planar gate wheel pressure testing method according to claim 1, characterized in that: The loading level difference of the graded pressurization process is set to 5MPa-10MPa. The horizontal pressurization device is a hydraulic loading system, which includes a hydraulic cylinder, a control valve group, and an oil pressure sensor.
3. The simplified planar gate wheel pressure testing method according to claim 1, characterized in that: The stress acquisition and processing involves arranging no fewer than 5 stress measurement points on the web of each roller support and no fewer than 2 stress measurement points on the outer sidewall of each roller. The stress gauges include resistance strain gauges and fiber optic strain gauges.
4. The simplified planar gate wheel pressure testing method according to claim 1, characterized in that: The linear correlation coefficient ranges from 80kN / MPa to 95kN / MPa. The least squares regression method is used to fit the stress-load curve, and the correction process uses a weighted correction method.
5. The simplified planar gate wheel pressure testing method according to claim 1, characterized in that: The characteristic curve deviation threshold identification is achieved by comparing the force value of the measuring point in the wheel pressure distribution result with the quantitative index of the roller force characteristics, and forming a comparison result based on the comparison. When the deviation of the comparison result is greater than ±10% of the preset threshold range, the force value of the measuring point is determined as abnormal data. The preset threshold is determined according to the ratio of the statistical standard deviation to the average value of historical test data.
6. The simplified planar gate wheel pressure testing method according to claim 5, characterized in that: The interpolation regression method includes linear interpolation and polynomial regression. When the outlier data appears in isolation, the linear interpolation method is used for correction. When the outlier data appears continuously, the polynomial regression method is used for correction.
Citation Information
Patent Citations
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