An intelligent control method for integral lifting construction of arch ribs of a steel arch bridge
Patent Information
- Application Number
- CN202310305891.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-03-27
- Publication Date
- 2026-10-23
- Estimated Expiration
- 2043-03-27
AI Technical Summary
吊索和临时系杆张拉不同步,可能会造成结构破坏等问题
[0073]本发明通过构造响应值与影响因素状态方程,采用有限元分析软件建立钢拱桥整体提升计算模型,通过数值模拟建立响应值和影响因素的数学关系;确定各个响应值对调控影响因素的权重,根据状态方程对响应值进行敏感性分析,根据响应值的敏感性确定其调控影响因素的权重;发出控制动作结果,根据状态方程明确影响因素与各个响应值的对应理论值,根据影响因素布设和响应值观测需要,现场采集影响因素和响应值的实际值,以每个响应实际值为标准,根据偏差修正每个对应的影响因素理论值,根据权重最终确定下一步的控制动作结果;监测现场温度环境,根据温度对结构的影响方程,对控制动作结果进行修正。
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Figure CN116663096B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of smart infrastructure, and more specifically, to an intelligent control method for the overall lifting construction of the arch ribs of a steel arch bridge. Background Technology
[0002] The bridge is a steel-concrete composite flexible tied arch bridge with a lower deck. The arch ribs are constructed using a low-level assembly and portal tower lifting method. The middle section of the arch ribs is separated from the low-level assembly on the support frame and is lifted by slings. These are two different structural forms, which present a system conversion problem. This system conversion is accomplished by the lifting slings and temporary tie rods that control the displacement of the arch foot. The system conversion is completed by tensioning the slings and temporary tie rods from zero tension to the tension value of the lifted state.
[0003] The middle arch rib weighs 1800t and is lifted by 8 slings, each with a final tension of 225t. The temporary tie rods are arranged in two vertical layers and two columns, one upstream and one downstream, totaling 4 bundles, each with a final tension of 243.758t. Asynchronous tensioning of the slings and temporary tie rods could cause structural damage. To address this, the previous practice was to perform staged tensioning, dividing the tension of the slings and temporary tie rods into more than ten levels, inputting the tensioning force into the tensioning pump station in stages. After each stage of tensioning, the stress and deformation of the arch rib and temporary support frame were monitored and analyzed before proceeding to the next stage, until the slings and temporary tie rods were fully tensioned and the arch rib was completely detached from the support frame. This method can effectively control the structural state of the system transition, but it is cumbersome, inefficient, has poor construction safety, and lacks precision in quality control. By using an intelligent control method for the overall lifting of the arch ribs of steel arch bridges, automatic information collection, automatic analysis, and automated control of tensioning equipment can be achieved, and automated tensioning of suspenders and temporary tie rods can be completed, thus solving the above problems. Summary of the Invention
[0004] To overcome the above shortcomings, this invention provides an intelligent control method for the overall lifting construction of the arch rib of a steel arch bridge. This method addresses the issue of the aforementioned problem where the middle arch rib weighs 1800t and is lifted using eight slings, each with a final tension of 225t; temporary tie rods are installed in two vertical layers and two upstream and downstream rows, totaling four bundles, each with a final tension of 243.758t. The asynchronous tensioning of the slings and temporary tie rods may cause structural damage.
[0005] This invention is implemented as follows:
[0006] A method for intelligent control of the integral lifting construction of the arch rib of a steel arch bridge includes the following steps:
[0007] S1. Construct the state equations for response values and influencing factors, establish an overall lifting calculation model for the steel arch bridge using finite element analysis software, extract samples, and establish the mathematical relationship between response values and influencing factors through numerical simulation;
[0008] S2. Determine the weight of each response value on the regulatory influencing factors, perform sensitivity analysis on the response values based on the state equation, and determine the weight of the regulatory influencing factors based on the sensitivity of the response values.
[0009] S3. Issue control action results, clarify the corresponding theoretical values of influencing factors and each response value according to the state equation, collect the actual values of influencing factors and response values on site according to the layout of influencing factors and the needs of response value observation, use the actual value of each response as the standard, correct the theoretical value of each corresponding influencing factor according to the deviation, and finally determine the next control action result according to the weight.
[0010] S4. Monitor the on-site temperature environment and correct the control action results based on the equation of the influence of temperature on the structure.
[0011] In one embodiment of the present invention, the specific process of S1 is as follows:
[0012] S101. A calculation model for the overall lifting of the steel arch bridge is established using finite element analysis software. The influencing factors are the lifting cable force and the tension force of the temporary tie rods. The response values are the cross-sectional stress and displacement, including the chord stress on section 1-2, the lower chord stress on section 1-2, the chord stress on section 2-3, the lower chord stress on section 2-3, the chord stress on the cross-section, the lower chord stress on the cross-section, the horizontal displacement of the arch foot, and the vertical displacement of the arch crown. ];
[0013] S102. Based on the finite element calculation model of the overall lifting of the steel arch bridge, numerical simulation calculation samples were performed in advance, and the state equation was fitted using the response surface method.
[0014] S103. Perform an accuracy test on the fitted state equation. Randomly select a certain number of samples for influencing factors. Calculate the response values according to the finite element calculation model of the overall lifting of the steel arch bridge and the fitted state equation. Use the finite element calculation results as the standard to test the deviation of the response values calculated by the fitted state equation and verify the accuracy of the fitted equation.
[0015] In one embodiment of the present invention, the response surface methodology fits the state equation as follows:
[0016] ,
[0017] coefficients in the formula need The solution is obtained by solving for a random sample point;
[0018] Z: Response value, representing stress and displacement;
[0019] The influencing factors are the tension of the slings and the tension of the temporary tie rods.
[0020] : This affects the matrix elements.
[0021] In one embodiment of the present invention, the specific process of S2 is as follows:
[0022] S201. Extract the samples required for sensitivity analysis and select the influencing factor samples using the Latin hypercube uniform sampling method.
[0023] S202. Substitute the obtained influencing factor samples into the state equation to calculate the corresponding response value samples, forming the samples required for sensitivity analysis.
[0024] S203. Use grey relational analysis to analyze the samples and determine the sensitivity of the response values;
[0025] S204, according to The calculation results are used to determine the adjustment weight of each response value to the cable force using the following formula:
[0026] .
[0027] In one embodiment of the present invention, the Latin hypercube uniform sampling method mainly involves two steps:
[0028] S2011. Generate uniform representative values for each parameter and divide each parameter into N intervals on average.
[0029] S2012. Randomly draw and combine data from each parameter without replacement to form a parameter calculation sample. Randomly draw a data interval from each parameter to form a calculation sample. The selected interval will not be considered in the next draw until N draws are completed.
[0030] In one embodiment of the present invention, the grey relational analysis method is as follows:
[0031] set up For the system's behavior sequence; As system-related factors, and Same length;
[0032] The system behavior sequence and related factors are averaged to obtain data with the same dimensions, and then initialized to determine the absolute correlation between the system behavior sequence and related factors.
[0033] The initial phase after mean normalization is obtained: , ;
[0034]
[0035]
[0036]
[0037] The absolute correlation degree of gray is obtained by formula:
[0038]
[0039] Grey relational analysis was performed on the system to obtain the grey relational matrix. Let... For system characteristics, system behavior sequence, It is a sequence of related factor system behaviors, and Same length for and Grey relational degree, grey relational matrix formula:
[0040]
[0041] If it exists ,satisfy
[0042]
[0043] This is called a system factor. Quasi-superior to system factors , recorded as .
[0044] In one embodiment of the present invention, the grey relational matrix performs advantage analysis on relevant factors of the system to determine the degree of influence of relevant factors on the system, and respectively calculates... The sum of the elements in each column of the matrix gives the formula:
[0045]
[0046] If it exists Satisfaction formula:
[0047]
[0048] This is called a system factor. Quasi-superior to system factors , recorded as System factors Sensitive to system factors .
[0049] In one embodiment of the present invention, step S3 is specifically as follows:
[0050] S301. Theoretical value calculation: Determine the cable tension force step by step, control the arch foot displacement to zero, and calculate the tension force and other response values corresponding to the temporary tie rods according to the state equation to obtain the intelligent control theoretical value. The theoretical value is:
[0051] The theoretical values of the tension force of the slings and the tension force of the temporary tie rods are [ ];
[0052] The theoretical value of the response is [ ];
[0053] S302. Construction process monitoring: Based on theoretical requirements, measuring points are arranged for the arch rib structure, and the structural status is monitored in real time during construction to obtain actual influencing factor values and actual response values.
[0054] The measured value of the response is [ ];
[0055] S303. Correct the theoretical value of each corresponding influencing factor, and adjust the theoretical value of the influencing factor according to the deviation:
[0056] The response value deviation is [ ];
[0057] The initial value for adjusting the tension of the sling is calculated using the following formula:
[0058]
[0059] The tension value of the suspension cable was obtained by measuring the response value:
[0060] F=[ ]
[0061] S304. Adjust the tension force based on the weight and response value deviation to determine the final control action result. The final adjusted tension force value for the sling is:
[0062] ,
[0063] Similarly, the final value of the temporary tie rod tension adjustment can be obtained as follows: ;
[0064] S305. Selection of Control Force Adjustment: Based on the calculation results and following the method of adjusting the arch rib state by increasing cable force, the final cable type is determined as follows:
[0065] if If the tension of the sling is adjusted, the tension of the sling will increase in the next stage. t;
[0066] Conversely, if If the temporary tie rod tension is adjusted, the temporary tie rod tension will increase in the next stage. t.
[0067] In one embodiment of the present invention, the specific steps of S4 are as follows:
[0068] S401. Construct the temperature-affected state equation. Similarly, the response surface methodology is used to construct the temperature-affected state equation. In the finite element model, the tension of the suspension cables and the tension of the temporary tie rods remain constant. The temperature is changed to extract samples, and the fitted equation is:
[0069]
[0070] S402. Adjust the tension of temporary tie rods using the horizontal displacement of the arch foot as the control target. Using the closure temperature as a reference, adjust the final tension of the temporary tie rods according to the temperature effect to ensure the structure corresponds to its state at the closure temperature, and minimize the influence of temperature difference. Substitute the equation of state into the equation of state to correct the tension of the temporary tie rod.
[0071] In one embodiment of the present invention, a steel arch bridge (8) is provided with a plurality of stress detection points (5) and displacement detection points (4). Temporary tie rods (7) are connected to the lower part of both ends of the steel arch bridge (8). Steel cables (6) are respectively connected to both ends of the steel arch bridge (8). A second power mechanism (2) is provided at the end of the steel cable (6). A first power mechanism (1) is provided at the lower part of one end of the steel arch bridge (8). The first power mechanism (1) and the second power mechanism (2) respectively include a first pump station (12), a first intelligent jack (11) and a second pump station (22) and a second intelligent jack (21), and also include a central control unit (3).
[0072] The beneficial effects of this invention are:
[0073] This invention constructs state equations for response values and influencing factors, establishes an overall lifting calculation model for a steel arch bridge using finite element analysis software, and establishes the mathematical relationship between response values and influencing factors through numerical simulation. It determines the weight of each response value on the regulating influencing factors, performs sensitivity analysis on the response values based on the state equations, and determines the weight of the regulating influencing factors based on the sensitivity of the response values. It then issues control action results, clarifies the corresponding theoretical values of influencing factors and each response value based on the state equations, collects actual values of influencing factors and response values on-site according to the needs of influencing factor deployment and response value observation, uses each actual response value as a standard, corrects the theoretical values of each corresponding influencing factor based on deviations, and finally determines the next control action result based on the weights. Finally, it monitors the on-site temperature environment and corrects the control action results based on the temperature's influence equation on the structure. Attached Figure Description
[0074] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained from these drawings without creative effort.
[0075] Figure 1 This is a schematic diagram of the steps of the present invention;
[0076] Figure 2 This is a schematic diagram of the structure of the present invention;
[0077] Figure 3 For the present invention Figure 2 Schematic diagram of the first power mechanism in the middle;
[0078] Figure 4 For the present invention Figure 2 Schematic diagram of the second power mechanism in the middle;
[0079] Figure 5 This is a flow diagram of information processing in this invention.
[0080] In the diagram: 1. First power mechanism; 11. First intelligent jack; 12. First pump station; 2. Second power mechanism; 21. Second intelligent jack; 22. Second pump station; 3. Central control unit; 4. Displacement detection point; 5. Stress detection point; 6. Steel cable; 7. Temporary tie rod; 8. Steel arch bridge. Detailed Implementation
[0081] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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, 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.
[0082] Please see Figure 1-5 This invention provides a technical solution: an intelligent control method for the overall lifting construction of the arch ribs of a steel arch bridge, comprising the following steps:
[0083] S1. Construct the state equations for response values and influencing factors, establish an overall lifting calculation model for the steel arch bridge using finite element analysis software, extract samples, and establish the mathematical relationship between response values and influencing factors through numerical simulation;
[0084] S2. Determine the weight of each response value on the influencing factors of regulation, perform sensitivity analysis on the response values according to the state equation, and determine the weight of the influencing factors of regulation based on the sensitivity of the response values.
[0085] S3. Issue control action results, clarify the corresponding theoretical values of influencing factors and each response value according to the state equation, collect the actual values of influencing factors and response values on site according to the layout of influencing factors and the needs of response value observation, use the actual value of each response as the standard, correct the theoretical value of each corresponding influencing factor according to the deviation, and finally determine the next control action result according to the weight.
[0086] S4. Monitor the on-site temperature environment and correct the control action results based on the equation of the influence of temperature on the structure.
[0087] To establish a computational model for the overall lifting of a steel arch bridge, and to establish the mathematical relationship between response values and influencing factors through numerical simulation, in one embodiment of the present invention, the specific process of step S1 is as follows:
[0088] S101. A calculation model for the overall lifting of the steel arch bridge is established using finite element analysis software. The influencing factors are the lifting cable force and the tension force of the temporary tie rods. The response values are the cross-sectional stress and displacement, including the chord stress on section 1-2, the lower chord stress on section 1-2, the chord stress on section 2-3, the lower chord stress on section 2-3, the chord stress on the cross-section, the lower chord stress on the cross-section, the horizontal displacement of the arch foot, and the vertical displacement of the arch crown. ];
[0089] S102. Based on the finite element calculation model of the overall lifting of the steel arch bridge, numerical simulation calculation samples were performed in advance, and the state equation was fitted using the response surface method.
[0090] S103. Perform an accuracy test on the fitted state equation. Randomly select a certain number of samples for influencing factors. Calculate the response values according to the finite element calculation model of the overall lifting of the steel arch bridge and the fitted state equation. Use the finite element calculation results as the standard to test the deviation of the response values calculated by the fitted state equation and verify the accuracy of the fitted equation.
[0091] To improve the finite element calculation model and perform numerical simulation calculations on samples in advance, in one embodiment of the present invention, the response surface method is used to fit the state equation as follows:
[0092] ,
[0093] coefficients in the formula need The solution is obtained by solving for a random sample point;
[0094] Z: Response value, representing stress and displacement;
[0095] The influencing factors are the tension of the slings and the tension of the temporary tie rods.
[0096] : This affects the matrix elements.
[0097] In order to calculate the weight of the response value on the influencing factors, in one embodiment of the present invention, the specific process of S2 is as follows:
[0098] S201. Extract the samples required for sensitivity analysis and select the influencing factor samples using the Latin hypercube uniform sampling method.
[0099] S202. Substitute the obtained influencing factor samples into the state equation to calculate the corresponding response value samples, forming the samples required for sensitivity analysis.
[0100] S203. Use grey relational analysis to analyze the samples and determine the sensitivity of the response values;
[0101] S204, according to The calculation results are used to determine the adjustment weight of each response value to the cable force using the following formula:
[0102] .
[0103] To illustrate the Latin hypercube uniform sampling method and demonstrate the sampling processing of data, one embodiment of the present invention describes a Latin hypercube uniform sampling method that mainly involves two steps:
[0104] S2011. Generate uniform representative values for each parameter and divide each parameter into N intervals on average.
[0105] S2012. Randomly draw and combine data from each parameter without replacement to form a parameter calculation sample. Randomly draw a data interval from each parameter to form a calculation sample. The selected interval will not be considered in the next draw until N draws are completed.
[0106] To illustrate the grey relational analysis method and to perform calculations and analysis on the data, in one embodiment of the present invention, the grey relational analysis method is as follows:
[0107] set up For the system's behavior sequence; As system-related factors, and Same length;
[0108] The system behavior sequence and related factors are averaged to obtain data with the same dimensions, and then initialized to determine the absolute correlation between the system behavior sequence and related factors.
[0109] The initial value phase after mean normalization is obtained: , ;
[0110]
[0111]
[0112]
[0113] The absolute correlation degree of gray is obtained by formula:
[0114]
[0115] Grey relational analysis was performed on the system to obtain the grey relational matrix. Let... For system characteristics, system behavior sequence, It is a sequence of behaviors of related factors in the system, and Same length for and Grey relational degree, grey relational matrix formula:
[0116]
[0117] If it exists ,satisfy
[0118]
[0119] This is called a system factor. Quasi-superior to system factors , recorded as .
[0120] To calculate the degree of influence of relevant factors, in one embodiment of the present invention, the grey relational matrix performs a dominance analysis on the relevant factors of the system to determine the degree of influence of the relevant factors on the system, and calculates the respective influence of each factor on the system. The sum of the elements in each column of the matrix gives the formula:
[0121]
[0122] If it exists Satisfaction formula:
[0123]
[0124] This is called a system factor. Quasi-superior to system factors , recorded as System factors Sensitive to system factors .
[0125] To ensure the accuracy of the data, actual values of influencing factors and response values are collected on-site. Using each actual response value as a standard, the theoretical values of each corresponding influencing factor are corrected based on deviations. Finally, the next control action is determined according to the weights. In one embodiment of the present invention, the specific steps of S3 are as follows:
[0126] S301. Theoretical value calculation: Determine the cable tension force step by step, control the arch foot displacement to zero, and calculate the tension force and other response values corresponding to the temporary tie rods according to the state equation to obtain the intelligent control theoretical value. The theoretical value is:
[0127] The theoretical values of the tension force of the slings and the tension force of the temporary tie rods are [ ];
[0128] The theoretical value of the response is [ ];
[0129] S302. Construction process monitoring: Based on theoretical requirements, measuring points are arranged for the arch rib structure, and the structural status is monitored in real time during construction to obtain actual influencing factor values and actual response values.
[0130] The measured value of the response is [ ];
[0131] S303. Correct the theoretical value of each corresponding influencing factor, and adjust the theoretical value of the influencing factor according to the deviation:
[0132] The response value deviation is [ ];
[0133] The initial value for adjusting the tension of the sling is calculated using the following formula:
[0134]
[0135] The tension value of the suspension cable was obtained by measuring the response value:
[0136] F=[ ]
[0137] S304. Adjust the tension force based on the weight and response value deviation to determine the final control action result. The final adjusted tension force value for the sling is:
[0138] ,
[0139] Similarly, the final value of the temporary tie rod tension adjustment can be obtained as follows: ;
[0140] S305. Selection of Control Force Adjustment: Based on the calculation results and following the method of adjusting the arch rib state by increasing cable force, the final cable type is determined as follows:
[0141] if If the tension of the sling is adjusted, the tension of the sling will increase in the next stage. t;
[0142] Conversely, if If the temporary tie rod tension is adjusted, the temporary tie rod tension will increase in the next stage. t.
[0143] In order to correct the result of the control action, in one embodiment of the present invention, the specific steps of S4 are as follows:
[0144] S401. Construct the temperature-affected state equation. Similarly, the response surface methodology is used to construct the temperature-affected state equation. In the finite element model, the tension of the suspension cables and the tension of the temporary tie rods remain constant. The temperature is changed to extract samples, and the fitted equation is:
[0145]
[0146] S402. Adjust the tension of temporary tie rods using the horizontal displacement of the arch foot as the control target. Using the closure temperature as a reference, adjust the final tension of the temporary tie rods according to the temperature effect to ensure the structure corresponds to its state at the closure temperature, and minimize the influence of temperature difference. Substitute the equation of state into the equation of state to correct the tension of the temporary tie rod.
[0147] To achieve data acquisition and processing of the steel arch bridge 8, one embodiment of the present invention includes a steel arch bridge 8, which is provided with several stress detection points 5 and displacement detection points 4. Temporary tie rods 7 are connected to the lower parts of both ends of the steel arch bridge 8, and steel cables 6 are respectively connected to both ends of the steel arch bridge 8. A second power mechanism 2 is provided at the end of the steel cable 6, and a first power mechanism 1 is provided at the lower part of one end of the steel arch bridge 8. The first power mechanism 1 and the second power mechanism 2 respectively include a first pump station 12, a first intelligent jack 11, a second pump station 22, and a second intelligent jack 21, and also include a central control unit 3.
[0148] The usage steps of this invention are as follows:
[0149] The first step is to construct the state equations for the response values and influencing factors, establish an overall lifting calculation model for the steel arch bridge using finite element analysis software, extract samples, and establish the mathematical relationship between the response values and influencing factors through numerical simulation.
[0150] The second step is to determine the weight of each response value on the regulatory influencing factors, conduct sensitivity analysis on the response values based on the state equation, and determine the weight of the regulatory influencing factors based on the sensitivity of the response values.
[0151] The third step is to issue the control action result, clarify the corresponding theoretical values of the influencing factors and each response value according to the state equation, collect the actual values of the influencing factors and response values on site according to the needs of influencing factor layout and response value observation, use the actual value of each response as the standard, correct the theoretical value of each corresponding influencing factor according to the deviation, and finally determine the control action result of the next step according to the weight.
[0152] The fourth step is to monitor the on-site temperature environment and correct the control action results based on the equation of the influence of temperature on the structure.
[0153] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the invention by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the invention should be included within the scope of protection of the invention.
Claims
1. A method for intelligent control of the integral lifting construction of the arch rib of a steel arch bridge, characterized in that, Includes the following steps: S1. Construct the state equations for response values and influencing factors, establish an overall lifting calculation model for the steel arch bridge using finite element analysis software, extract samples, and establish the mathematical relationship between response values and influencing factors through numerical simulation; The specific process of S1 is as follows: S101. A calculation model for the overall lifting of the steel arch bridge is established using finite element analysis software. The influencing factors are the lifting cable force and the tension force of the temporary tie rods. The response values are the cross-sectional stress and displacement, including the chord stress on section 1-2, the lower chord stress on section 1-2, the chord stress on section 2-3, the lower chord stress on section 2-3, the chord stress on the cross-section, the lower chord stress on the cross-section, the horizontal displacement of the arch foot, and the vertical displacement of the arch crown. ]; S102. Based on the finite element calculation model of the overall lifting of the steel arch bridge, numerical simulation calculation samples were performed in advance, and the state equation was fitted using the response surface method. S103. Perform an accuracy test on the fitted state equation. Randomly select a certain number of samples for influencing factors. Calculate the response values according to the finite element calculation model of the overall lifting of the steel arch bridge and the fitted state equation. Use the finite element calculation results as the standard to test the deviation of the response values calculated by the fitted state equation and verify the accuracy of the fitted equation. The state equation fitted by the response surface methodology is: , coefficients in the formula need The solution is obtained by solving for a random sample point; Z: Response value, representing stress and displacement; The influencing factors are the tension of the slings and the tension of the temporary tie rods. : To affect matrix elements; S2. Determine the weight of each response value on the influencing factors of regulation, perform sensitivity analysis on the response values according to the state equation, and determine the weight of the influencing factors of regulation based on the sensitivity of the response values. The specific process of S2 is as follows: S201. Extract the samples required for sensitivity analysis and select the influencing factor samples using the Latin hypercube uniform sampling method. S202. Substitute the obtained influencing factor samples into the state equation to calculate the corresponding response value samples, forming the samples required for sensitivity analysis. S203. Use grey relational analysis to analyze the samples and determine the sensitivity of the response values; S204, according to The calculation results are used to determine the adjustment weight of each response value to the cable force using the following formula: ; The grey relational analysis method is as follows: set up For the system's behavior sequence; As system-related factors, and Same length; The system behavior sequence and related factors are averaged to obtain data with the same dimensions, and then initialized to determine the absolute correlation between the system behavior sequence and related factors. The initial phase after mean normalization is obtained: , ; The absolute correlation degree of gray is obtained by formula: Grey relational analysis was performed on the system to obtain the grey relational matrix. Let... For system characteristics, system behavior sequence, It is a sequence of behaviors of related factors in the system, and Same length for and Grey relational degree, grey relational matrix formula: If it exists ,satisfy This is called a system factor. Quasi-superior to system factors , recorded as The grey relational matrix is used to perform advantage analysis on relevant factors of the system, to determine the degree of influence of relevant factors on the system, and to calculate the respective advantages and disadvantages of each factor. The sum of the elements in each column of the matrix gives the formula: If it exists Satisfaction formula: This is called a system factor. Quasi-superior to system factors , recorded as System factors Sensitive to system factors ; S3. Issue control action results, clarify the corresponding theoretical values of influencing factors and each response value according to the state equation, collect the actual values of influencing factors and response values on site according to the layout of influencing factors and the needs of response value observation, use the actual value of each response as the standard, correct the theoretical value of each corresponding influencing factor according to the deviation, and finally determine the next control action result according to the weight. The specific steps of S3 are as follows: S301. Theoretical value calculation: Determine the cable tension force step by step, control the arch foot displacement to zero, and calculate the tension force and other response values corresponding to the temporary tie rods according to the state equation to obtain the intelligent control theoretical value. The theoretical value is: The theoretical values of the tension force of the slings and the tension force of the temporary tie rods are [ ]; The theoretical value of the response is [ ]; S302. Construction process monitoring: Based on theoretical requirements, measuring points are arranged for the arch rib structure, and the structural status is monitored in real time during construction to obtain actual influencing factor values and actual response values. The measured value of the response is [ ]; S303. Correct the theoretical value of each corresponding influencing factor, and adjust the theoretical value of the influencing factor according to the deviation: The response value deviation is [ ]; The initial value for adjusting the tension of the sling is calculated using the following formula: The tension value of the suspension cable was obtained by measuring the response value: F=[ ]; S304. Adjust the tension force based on the weight and response value deviation to determine the final control action result. The final adjusted tension force value for the sling is: , Similarly, the final value of the temporary tie rod tension adjustment can be obtained as follows: ; S305. Selection of Control Force Adjustment: Based on the calculation results and following the method of adjusting the arch rib state by increasing cable force, the final cable type is determined as follows: if If the tension of the sling is adjusted, the tension of the sling will increase in the next stage. t; Conversely, if If the temporary tie rod tension is adjusted, the temporary tie rod tension will increase in the next stage. t; S4. Monitor the on-site temperature environment and correct the control action results based on the equation of the influence of temperature on the structure; The specific steps of S4 are as follows: S401. Construct the temperature-affected state equation. Similarly, the response surface methodology is used to construct the temperature-affected state equation. In the finite element model, the tension of the suspension cables and the tension of the temporary tie rods remain constant. The temperature is changed to extract samples, and the fitted equation is: S402. Adjust the tension of temporary tie rods using the horizontal displacement of the arch foot as the control target. Using the closure temperature as a reference, adjust the final tension of the temporary tie rods according to the temperature effect to ensure the structure corresponds to its state at the closure temperature, and minimize the influence of temperature difference. Substitute the equation of state into the equation of state to correct the tension of the temporary tie rod.
2. The intelligent control method for the overall lifting construction of the arch rib of a steel arch bridge according to claim 1, characterized in that, The Latin hypercubic uniform sampling method includes two steps: S2011. Generate uniform representative values for each parameter and divide each parameter into N intervals on average. S2012. Randomly draw and combine data from each parameter without replacement to form a parameter calculation sample. Randomly draw a data interval from each parameter to form a calculation sample. The selected interval will not be considered in the next draw until N draws are completed.
3. The intelligent control method for the overall lifting construction of the arch rib of a steel arch bridge according to claim 1, characterized in that, The system includes a steel arch bridge (8), which is equipped with several stress detection points (5) and displacement detection points (4). Temporary tie rods (7) are connected to the lower ends of both ends of the steel arch bridge (8). Steel cables (6) are connected to both ends of the steel arch bridge (8). A second power mechanism (2) is provided at the end of the steel cable (6). A first power mechanism (1) is provided at the lower end of one end of the steel arch bridge (8). The first power mechanism (1) and the second power mechanism (2) respectively include a first pump station (12), a first intelligent jack (11), a second pump station (22), and a second intelligent jack (21), and also include a central control unit (3).
Citation Information
Patent Citations
Sensitivity analysis based dynamic construction control method for one-time tension of stay cables
CN107025342A