CN114913674B - Wind and rain vibration monitoring and early warning method for stay cable of large-span cable-stayed bridge - Google Patents
Wind and rain vibration monitoring and early warning method for stay cable of large-span cable-stayed bridge Download PDFInfo
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- CN114913674B CN114913674B CN202210444828.0A CN202210444828A CN114913674B CN 114913674 B CN114913674 B CN 114913674B CN 202210444828 A CN202210444828 A CN 202210444828A CN 114913674 B CN114913674 B CN 114913674B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 20
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000001133 acceleration Effects 0.000 claims abstract description 32
- 238000001228 spectrum Methods 0.000 claims abstract description 21
- 230000004044 response Effects 0.000 claims abstract description 5
- 238000012417 linear regression Methods 0.000 claims abstract description 4
- 238000004590 computer program Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000010183 spectrum analysis Methods 0.000 claims description 3
- 230000003595 spectral effect Effects 0.000 claims 1
- 238000010606 normalization Methods 0.000 abstract 1
- 230000002159 abnormal effect Effects 0.000 description 3
- 230000002411 adverse Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000000611 regression analysis Methods 0.000 description 1
- 230000035939 shock Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
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Abstract
The invention discloses a method for monitoring and early warning wind and rain vibration of a cable of a large-span cable-stayed bridge, which comprises the following steps: making a rainfall early warning threshold; establishing a linear regression model of the inhaul cable acceleration response and the wind speed, eliminating the influence of the wind speed, and establishing a inhaul cable acceleration response time-course curve of wind speed normalization; acquiring a cable acceleration power spectrum, and extracting a power spectrum multi-order frequency and a corresponding spectrum amplitude; calculating an energy concentration coefficient; and carrying out early warning judgment on the energy concentration coefficient, and judging that the inhaul cable is subjected to wind and rain vibration and alarming when any one of the two coefficients is smaller than an energy concentration coefficient threshold value and the rainfall exceeds an early warning value. According to the invention, through monitoring the vibration acceleration of the inhaul cable, the generation of the wind and rain vibration of the inhaul cable can be rapidly judged and alarmed through the analysis of the energy concentration coefficient of the front third-order main mode after the influence of wind speed is removed, the problem of early warning lag existing in the traditional method through the large-amplitude monitoring of the inhaul cable is overcome, and a technical basis is provided for automatic warning and disaster assessment of bridge health monitoring.
Description
Technical Field
The invention relates to monitoring of bridge structural performance, in particular to a method for monitoring and early warning wind and rain vibration of a cable of a large-span cable-stayed bridge.
Background
The stay rope of the cable-stayed bridge is a component for transferring the load of the main girder and the vehicle, and the service state of the stay rope has important influence on the mechanical behavior of the whole bridge. Under the combined action of wind and rain, the inhaul cable of the cable-stayed bridge can generate abnormal vibration, and the fatigue life of the inhaul cable can be reduced. As a large vibration, the cable wind and rain vibration can also cause adverse effects on driving comfort and visual sense.
In order to sense the vibration characteristics of the cable of the large-span cable-stayed bridge, an acceleration sensor is usually arranged on the cable, a vibration frequency power spectrum is calculated according to acceleration time-course data, and the power spectrum peak value data represents the frequency domain characteristics of the cable. However, the prior art cannot solve the real-time early warning problem in the wind and rain shock vibration of the stay cable, so that the abnormal vibration of the stay cable caused by wind and rain vibration cannot be perceived by using the power spectrum data of the stay cable.
Disclosure of Invention
The invention aims to: the invention aims to provide a method for monitoring and early warning wind and rain vibration of a cable of a large-span cable-stayed bridge.
The technical scheme is as follows: the invention relates to a method for monitoring and early warning wind and rain vibration of a cable of a large-span cable-stayed bridge, which comprises the following principles: based on acceleration data and rainfall data of a cable of a large-span cable-stayed bridge, after the influence of wind speed on the acceleration of the cable is eliminated, a rainfall early warning threshold value is set, a cable frequency domain early warning parameter of wind and rain vibration is constructed, and then the rainfall and frequency domain double parameters are used for combined wind and rain vibration early warning, when the rainfall and the frequency domain early warning parameter jointly exceed the threshold value, wind and rain vibration is judged, abnormal vibration early warning is carried out, reliable information is provided for a bridge management engineer to know the working state of the bridge in real time, and the engineer is helped to develop traffic warning and disaster assessment in time.
The method comprises the following steps:
(1) Acquiring rainfall time sequence data at bridge sites, and formulating a rainfall early warning threshold;
(2) Establishing a linear regression model of inhaul cable acceleration response and wind speed, and further eliminating the influence of wind speed on acceleration;
(3) Acquiring a cable acceleration power spectrum after wind speed influence is removed, and extracting power spectrum multi-order frequency f i and corresponding spectrum amplitude A i;
(4) Calculating an energy concentration coefficient A j/A1;
(5) And calculating and analyzing the energy concentration coefficients A2/A1 and A3/A1, and judging that the inhaul cable is subjected to wind and rain vibration and alarming when any one of the two coefficients is smaller than the energy concentration coefficient threshold value and reaches the early warning rainfall.
And (3) the time interval calculated by analysis in the steps (1) to (5) is 1min.1min is a preferable value for comprehensive calculation, real-time performance and accuracy, but the time step is not limited thereto, and for example, the time step interval may be 2min or longer, and 30s or shorter may be also preferable.
And (3) the rainfall early warning threshold value in the step (1) is 0.2mm/min.0.2mm/min is a preferred value for 95% assurance in statistical observation.
In the step (3), the value range of i is 1-3. The highest extraction number i of the multi-order frequency is 3, and the number of multi-mode participation of cable wind and rain excitation is generally not more than 3, so that the first 3 main modes are selected for analysis, and the selection value is not limited to the above.
In the step (3), the measured cable acceleration time sequence data are segmented according to a set time interval of 1min, and power spectrum analysis and calculation are carried out on each segment of acceleration data through PSD, LPSD, DPSD or other frequency domain algorithms, so that a minute scale power spectrum of the cable acceleration is obtained. And converting the discretized inhaul cable acceleration information into power spectrum data, and extracting a frequency domain of inhaul cable vibration.
In the step (4), the value range of j is 2-3.
In the step (5), the energy concentration coefficient threshold value is 0.1.0.1 is a preferable value with a 95% assurance rate obtained by statistical observation and theoretical analysis.
A computer storage medium, on which a computer program is stored, which when executed by a processor implements the method for monitoring and early warning of wind and rain vibration of a cable of a large-span cable-stayed bridge.
The computer equipment comprises a storage, a processor and a computer program which is stored in the storage and can be run on the processor again, wherein the processor realizes the method for monitoring and early warning the wind and rain vibration of the cable of the large-span cable-stayed bridge when executing the computer program.
The beneficial effects are that: compared with the prior art, the invention has the following advantages: according to the invention, the rainfall threshold value and the frequency domain parameter for identifying the cable wind and rain vibration are constructed by utilizing the rainfall and the cable vibration acceleration data, and when the rainfall exceeds the threshold value and the correlation coefficient between the frequency domain parameters is too low, the cable wind and rain vibration can be pre-warned in real time, so that reliable information is provided for bridge management engineers to know the working state of the bridge in real time, and the engineers are helped to develop traffic warning and disaster assessment in time.
Drawings
FIG. 1 is a flow chart of the present invention;
Fig. 2 is 1min interval time course data of rainfall and an early warning threshold line.
FIG. 3 correlation scatter plot of wind speed and acceleration data and wind speed-acceleration regression analysis results.
FIG. 4 is a power spectrum calculated from the data of the cable acceleration 1min interval, and the multi-order natural vibration frequency and its corresponding energy amplitude obtained from the power spectrum data.
Fig. 5 is energy concentration coefficient timing data.
The time course data and the early warning threshold line of the energy concentration coefficient a 2/A1 of fig. 6.
The time course data and the early warning threshold line of the energy concentration coefficient a 3/A1 of fig. 7.
Detailed Description
The technical scheme of the invention is further described below with reference to the accompanying drawings.
As shown in FIG. 1, the method for monitoring the multi-mode vortex-induced vibration of the inhaul cable comprises the following steps:
(1) Acquiring rainfall time sequence data at bridge sites, and formulating a rainfall early warning threshold;
(2) Establishing a linear regression model of inhaul cable acceleration response and wind speed, and further eliminating the influence of wind speed on acceleration;
(3) Acquiring a inhaul cable acceleration power spectrum after wind speed influence is removed, extracting power spectrum multi-order frequency f i and corresponding spectrum amplitude A i, and taking 1-3;
(4) Calculating an energy concentration coefficient A j/A1, and taking 2-3 j;
(5) And (3) carrying out early warning analysis on the energy concentration coefficients A 2/A1 and A 3/A1, and judging that the cable is subjected to wind and rain vibration and alarming when any one of the two coefficients is smaller than 0.1 and the early warning rainfall is reached.
The following describes the implementation of the present invention using cable acceleration and rainfall data for the channel bridge in the Qingzhou, kong Zhuhai and Macao.
(1) Bridge health monitoring systems are additionally arranged on Qingzhou channel bridges of the bridge Zhuhai and Macao, and can collect acceleration data of inhaul cables and rainfall data at bridge sites. And converting the rainfall data by taking 1min as a time interval to acquire rainfall in each 1min, so as to obtain time-course data of rainfall intensity, as shown in fig. 2. According to wind and rain vibration statistical data of the large-span cable-stayed bridge, setting a rainfall early warning threshold value to be 0.2mm/min.
(2) And carrying out correlation analysis on the inhaul cable acceleration and the wind speed, wherein a scatter diagram and regression lines obtained by linear correlation are shown in figure 3.
(3) Removing the influence of wind speed by using a guy cable-wind speed regression equation, obtaining guy cable acceleration without influence of wind speed as shown in fig. 4, performing power spectrum analysis on the acceleration by taking 1min as a time interval, and extracting power spectrum multi-order frequency f i and corresponding spectrum amplitude A i as shown in fig. 5, wherein i is 1-3;
(4) The energy concentration coefficients a 2/A1 and a 3/A1 were calculated every 1min as time intervals.
(5) As shown in fig. 6 and 7, the time sequence data of a 2/A1 and a 3/A1 and the early warning threshold line are respectively extracted, and the time points of fig. 4, 5 and 2 exceeding the early warning threshold line are extracted at the same time, so that the real-time early warning of the wind and rain vibration of the cable-stayed bridge can be realized.
Claims (6)
1. A method for monitoring and early warning wind and rain vibration of a cable of a large-span cable-stayed bridge is characterized by comprising the following steps:
(1) Acquiring rainfall time sequence data at bridge sites, and formulating a rainfall early warning threshold;
(2) Establishing a linear regression model of inhaul cable acceleration response and wind speed, and further eliminating the influence of wind speed on acceleration;
(3) Acquiring a guy cable acceleration power spectrum after eliminating wind speed influence, and extracting power spectrum multi-order frequency Corresponding spectral amplitude/>; Segmenting the measured cable acceleration time sequence data according to a set time interval of 1min, and carrying out power spectrum analysis and calculation on each segment of acceleration data through PSD, LPSD, DPSD or other frequency domain algorithms to obtain a minute scale power spectrum of the cable acceleration; /(I)The value range of (2) is 1-3; /(I)The value range of (2) is 2-3;
(4) Calculating energy concentration coefficients ；
(5) And calculating and analyzing the energy concentration coefficients A2/A1 and A3/A1, and judging that the inhaul cable is subjected to wind and rain vibration and alarming when any one of the two coefficients is smaller than the energy concentration coefficient threshold value and reaches the early warning rainfall.
2. The method for monitoring and early warning of wind and rain vibration of a cable of a large-span cable-stayed bridge according to claim 1, wherein the time intervals of analysis and calculation in the steps (1) - (5) are all 1min.
3. The method for monitoring and early warning of wind and rain vibration of a cable of a large-span cable-stayed bridge according to claim 1, wherein the early warning threshold of rainfall in the step (1) is 0.2mm/min.
4. The method for monitoring and early warning of wind and rain vibration of a cable of a large-span cable-stayed bridge according to claim 1, wherein in the step (5), the threshold value of the energy concentration coefficient is 0.1.
5. A computer storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements a method for monitoring and pre-warning wind and rain vibrations of a cable of a large-span cable-stayed bridge according to any one of claims 1 to 4.
6. A computer device comprising a memory, a processor and a computer program stored on the memory and running on the processor again, wherein the processor implements a method for monitoring and pre-warning wind and rain vibrations of a cable of a large-span cable-stayed bridge as claimed in any one of claims 1 to 4 when executing the computer program.
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| CN202210444828.0A CN114913674B (en) | 2022-04-26 | 2022-04-26 | Wind and rain vibration monitoring and early warning method for stay cable of large-span cable-stayed bridge |
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| CN202210444828.0A CN114913674B (en) | 2022-04-26 | 2022-04-26 | Wind and rain vibration monitoring and early warning method for stay cable of large-span cable-stayed bridge |
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| CN114913674B true CN114913674B (en) | 2024-06-07 |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6292967B1 (en) * | 1999-09-14 | 2001-09-25 | Construction Technology Laboratories, Inc. | TMD-damped stay cable and method and TMD |
| CN104050860A (en) * | 2014-05-28 | 2014-09-17 | 河海大学 | Cable rope wind and rain excitation function simulation experiment device |
| CN112362274A (en) * | 2020-10-10 | 2021-02-12 | 中铁大桥局集团有限公司 | Method and system for monitoring, early warning and evaluating vortex-induced vibration of long-span bridge in operation period |
| CN113343541A (en) * | 2021-07-08 | 2021-09-03 | 石家庄铁道大学 | Vortex-induced vibration early warning method, device and terminal for long and large span bridge |
-
2022
- 2022-04-26 CN CN202210444828.0A patent/CN114913674B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6292967B1 (en) * | 1999-09-14 | 2001-09-25 | Construction Technology Laboratories, Inc. | TMD-damped stay cable and method and TMD |
| CN104050860A (en) * | 2014-05-28 | 2014-09-17 | 河海大学 | Cable rope wind and rain excitation function simulation experiment device |
| CN112362274A (en) * | 2020-10-10 | 2021-02-12 | 中铁大桥局集团有限公司 | Method and system for monitoring, early warning and evaluating vortex-induced vibration of long-span bridge in operation period |
| CN113343541A (en) * | 2021-07-08 | 2021-09-03 | 石家庄铁道大学 | Vortex-induced vibration early warning method, device and terminal for long and large span bridge |
Non-Patent Citations (5)
| Title |
|---|
| 基于监测大数据的涡激振动影响因素分析;曹素功 等;《桥梁建设》;第49卷(第1期);第59-64页 * |
| 大跨斜拉桥在风雨共同作用下反应特性研究;徐良;《中国知网 工程科技Ⅱ辑》;20200415;全文 * |
| 斜拉桥拉索风雨激振理论分析的一个新方法;顾明 等;《土木工程学报》;第36卷(第6期);第47-52页 * |
| 风雨共同作用下结构荷载与响应的理论分析及试验研究;葛耀君;《第十四届全国结构风工程学术会议》;20090827;全文 * |
| 高精度风雨模拟环境下拉索风雨激振试验研究新发现;许林汕 等;《土木工程学报》;第44卷(第5期);第86-92页 * |
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