CN105067209A - Method for determining rigid change of bridge structure based on deformation data of bridge health monitoring - Google Patents
Method for determining rigid change of bridge structure based on deformation data of bridge health monitoring Download PDFInfo
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Abstract
The invention discloses a method for determining a rigid change of a bridge structure based on deformation data of bridge health monitoring. The method comprises six steps: analyzing a bridge structure; installing a dynamic weighing system at a position where a vehicle gets on the bridge to monitor a vehicle load; getting bridge load data in a normal state; collecting deflection deformation data of the bridge within one month or longer time and establishing a standard model graph; after establishment of the standard model graph, continuously collecting deflection deformation and vehicle load data for a period of time to guarantee accuracy of the model; and realizing change determination of the bridge rigidity. According to the invention, on the basis of a constructed relation model of bridge member rigid changes and deformation normal distribution curve graphs, a rigid change of the bridge is determined according to changing rule of bridge deformation value. Compared with the traditional static test, the provided method has the following advantages: wasting of lots of manpower and materials can be prevented; bridge traffic blocking is not required; and utilization of the method plays a positive role in deep mining and application of bridge health monitoring data.
Description
Technical field
The present invention relates to a kind of method judging bridge structure stiffness variation, particularly relate to a kind of method judging bridge structure stiffness variation based on bridge health monitoring deformation data, belong to Bridge Health Monitoring Technology field.
Background technology
What the changing condition of current bridge stiffness mainly adopted is that the deflection deformation situation measuring spanning cross section is determined.And test method the most frequently used is at present dead load test, by measuring the amount of deflection situation of change of bridge under load test load action, is converted by bearing capacity and calculating the stiffness variation situation of bridge, thus ensure the operation security of bridge.But dead load test drops into human and material resources, financial resources are larger, and test need block traffic, to the normal operation of bridge, there is certain influence, and this experiment cannot simulate the degree of impairment of the bridge stiffness of bridge under dynamic load continuous action, belong to a kind of detection means of " knowing aftersensation afterwards ", cannot accomplish to monitor the stiffness variation situation of bridge for a long time, the effect given warning in advance cannot be played.
Summary of the invention
In order to solve the weak point existing for above-mentioned technology, the invention provides a kind of method judging bridge structure stiffness variation based on bridge health monitoring deformation data.
In order to solve above technical matters, the technical solution used in the present invention is: a kind of method judging bridge structure stiffness variation based on bridge health monitoring deformation data, and concrete determination step is:
I, bridge structure to be analyzed, in the crucial cross section 1/4 of bridge across and installation position, span centre position displacement sensor, armor optical cable is utilized to be sent on Acquisition Instrument by the signal collected of sensing, carried out the parsing of signal by Acquisition Instrument, change the monitor signal of sensing into deflection of bridge span deformation data by computing machine;
II, on vehicle bridge location put install dynamic weighing system vehicular load is monitored, LOAD CELLS by Real-time Collection to vehicular load Signal transmissions on comprehensive data acquisition instrument, by dynamic weighing system, analytical calculation is carried out to data, obtain final bridge vehicular load data;
III, collection one month or the vehicular load data of longer time, use axle load spectrum analysis tool to carry analysis of spectrum to bridge axis of dilatation, grasp bridge load data under normal circumstances;
IV, collection bridge one month or the deflection deformation data in the longer time, according to the monitoring situation rejecting abnormalities data-overweight load of vehicular load, and use statistical tool to carry out statistical study to data, calculate average μ and the standard deviation sigma of the deflection deformation distribution curve under normal operating condition, Criterion illustraton of model;
The establishment step of master pattern figure is:
(1), when bridge floor passes through that load is relatively stable, bridge is in normal condition, the deformation values regularity of distribution in bridge region should be tending towards normal distribution curve, and draws relevant μ according to normal distribution curve, σ value; Wherein σ
1value is change in an interval within longer a period of time, draws concrete interval value by statistics;
(2), in the normal situation of current load when bridge stiffness occur damage time, its μ value can not change substantially, σ
3larger change can be there is, σ
1< σ
3, | σ
3-σ
1|/σ
3size show the concrete loss amount of the rigidity of structure;
(3), after bridge reparation, as in the normal situation of vehicular load, when bridge is repaired it by reinforcing and other means, the rigidity of bridge can increase thereupon, but be difficult to return to newly-built state completely, the μ value of distribution curve can not change substantially, but σ
2larger change is had, σ before comparatively repairing
2< σ
3.| σ
3-σ
2|/σ
2size show the concrete amount of recovery of the rigidity of structure;
(4), by the stiffness variation rule before and after structural damage and the situation of change of stiffness variation rule in conjunction with σ of repairing front and back, set up the rigidity of every bridge block and the relational model of σ, and estimate loss and the recovery situation of bridge structure rigidity by the situation of change of surveying σ;
V, after Criterion illustraton of model, need to continue to gather the deflection deformation of a period of time and vehicular load data, by data screening and data statistics, deflection deformation model parameter average μ and standard deviation sigma are revised further, guarantee the accuracy of model;
The deflection of bridge span deformation measurement data that VI, deflection deformation model can will be collected after revising, after rejecting abnormalities data, carry out statistical study, result of calculation and master pattern are compared analysis, comprise master pattern figure comparative analysis and parameter comparison analysis, the change realizing bridge stiffness differentiates.
The present invention, by building the relational model between Bridge flexural rigidity change and distortion normal distribution curve figure, obtains the change being judged bridge stiffness by the Changing Pattern of bridge deformation value; The present invention is compared with traditional static test, without the need to wasting a large amount of human and material resources, without the need to blocking bridge traffic, for Bridge Management & Maintenance unit provides quantitative decision condition to the disease screening of bridge and maintenance management, substantially increase the using value of bridge health monitoring data; Also achieve the integration to mass data in bridge health monitoring system and quantitative test, the degree of depth of mass data in current bridge health monitoring system is excavated and serves positive impetus with application.
Accompanying drawing explanation
Below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation.
Fig. 1 is the normal distribution curve figure of bridge deformation value under original state.
Fig. 2 is in the normal situation of current load when damage appears in bridge stiffness, its deformable statistical curve map.
Fig. 3 is after bridge reparation, the bridge deformation normal distribution curve figure after the recovery of bridge stiffness part.
Fig. 4 is that the rigidity of structure normally works the correlationship figure recovered with loss of rigidity and rigidity.
Embodiment
As Figure 1-Figure 4, concrete determination step of the present invention is as follows:
1, bridge structure is analyzed, in the crucial cross section 1/4 of bridge across and installation position, span centre position displacement sensor, armor optical cable is utilized to be sent on Acquisition Instrument by the signal collected of sensing, carried out the parsing of signal by Acquisition Instrument, change the monitor signal of sensing into deflection of bridge span deformation data by computing machine;
2, on vehicle bridge location put install dynamic weighing system vehicular load is monitored, LOAD CELLS by Real-time Collection to vehicular load Signal transmissions on comprehensive data acquisition instrument, by dynamic weighing system, analytical calculation is carried out to data, obtain final bridge vehicular load data;
3, gather the vehicular load data of (month or longer) in a period of time, use axle load spectrum analysis tool to carry analysis of spectrum to bridge axis of dilatation, grasp bridge load data under normal circumstances;
4, the deflection deformation data in bridge a period of time (one month or longer) are collected, according to monitoring situation rejecting abnormalities data (overweight load) of vehicular load, and use statistical tool to carry out statistical study to data, calculate average μ and the standard deviation sigma of the deflection deformation distribution curve under normal operating condition, Criterion illustraton of model;
The establishment step of master pattern figure is:
(1), when bridge floor passes through that load is relatively stable, bridge is in normal condition, the deformation values regularity of distribution in bridge region should be tending towards normal distribution curve, and can draw relevant μ according to normal distribution curve, σ value.Wherein σ
1value is change in an interval within longer a period of time, and can draw concrete interval value by statistics, the deformation values in bridge a period of time as shown in Figure 1;
(2), in the normal situation of current load when there is damage in bridge stiffness, its μ value can not change substantially, but σ
3larger change can be there is, its deformable statistical curve as shown in Figure 2, σ
1< σ
3, | σ
3-σ
1|/σ
3size show the concrete loss amount of the rigidity of structure;
(3), after bridge reparation, bridge deformation normal distribution curve figure after the recovery of bridge stiffness part, as shown in Figure 3, in the normal situation of vehicular load, when bridge is repaired it by reinforcing and other means, the rigidity of bridge can increase thereupon, but is difficult to return to newly-built state completely, the μ value of distribution curve can not change substantially, but σ
2have larger change before comparatively repairing, its deformable statistical curve may be as shown below, σ
2< σ
3.| σ
3-σ
2|/σ
2size show the concrete amount of recovery of the rigidity of structure;
(4), the rigidity of structure normally works the correlationship figure recovered with loss of rigidity and rigidity, by the stiffness variation rule before and after structural damage and the situation of change of stiffness variation rule in conjunction with σ of repairing front and back, set up the rigidity of every bridge block and the relational model of σ, and estimate loss and the recovery situation of bridge structure rigidity by the situation of change of surveying σ.
5, after Criterion illustraton of model, need the deflection deformation and the vehicular load data that continue collection a period of time, or by data screening and data statistics, deflection deformation model parameter (average μ and standard deviation sigma) is revised further, guarantee the accuracy of model;
6, the deflection of bridge span deformation measurement data (after rejecting abnormalities data) of collecting can be carried out statistical study after revising by deflection deformation model, result of calculation and master pattern are compared analysis, comprise master pattern figure comparative analysis and parameter comparison analysis, and then the change realizing bridge stiffness differentiates.
In figure, p (δ) is probability density function; δ is stochastic variable; μ is mean (average); σ is standard deviation.
Above-mentioned embodiment is not limitation of the present invention; the present invention is also not limited in above-mentioned citing; the change that those skilled in the art make within the scope of technical scheme of the present invention, remodeling, interpolation or replacement, also all belong to protection scope of the present invention.
Claims (1)
1. judge a method for bridge structure stiffness variation based on bridge health monitoring deformation data, it is characterized in that: concrete determination step is:
I, bridge structure to be analyzed, in the crucial cross section 1/4 of bridge across and installation position, span centre position displacement sensor, armor optical cable is utilized to be sent on Acquisition Instrument by the signal collected of sensing, carried out the parsing of signal by Acquisition Instrument, change the monitor signal of sensing into deflection of bridge span deformation data by computing machine;
II, on vehicle bridge location put install dynamic weighing system vehicular load is monitored, LOAD CELLS by Real-time Collection to vehicular load Signal transmissions on comprehensive data acquisition instrument, by dynamic weighing system, analytical calculation is carried out to data, obtain final bridge vehicular load data;
III, collection one month or the vehicular load data of longer time, use axle load spectrum analysis tool to carry analysis of spectrum to bridge axis of dilatation, grasp bridge load data under normal circumstances;
IV, collection bridge one month or the deflection deformation data in the longer time, according to the monitoring situation rejecting abnormalities data-overweight load of vehicular load, and use statistical tool to carry out statistical study to data, calculate average μ and the standard deviation sigma of the deflection deformation distribution curve under normal operating condition, Criterion illustraton of model;
The establishment step of master pattern figure is:
(1), when bridge floor passes through that load is relatively stable, bridge is in normal condition, the deformation values regularity of distribution in bridge region should be tending towards normal distribution curve, and draws relevant μ according to normal distribution curve, σ value; Wherein σ
1value is change in an interval within longer a period of time, draws concrete interval value by statistics;
(2), in the normal situation of current load when bridge stiffness occur damage time, its μ value can not change substantially, σ
3larger change can be there is, σ
1< σ
3, | σ
3-σ
1|/σ
3size show the concrete loss amount of the rigidity of structure;
(3), after bridge reparation, as in the normal situation of vehicular load, when bridge is repaired it by reinforcing and other means, the rigidity of bridge can increase thereupon, but be difficult to return to newly-built state completely, the μ value of distribution curve can not change substantially, but σ
2larger change is had, σ before comparatively repairing
2< σ
3.| σ
3-σ
2|/σ
2size show the concrete amount of recovery of the rigidity of structure;
(4), by the stiffness variation rule before and after structural damage and the situation of change of stiffness variation rule in conjunction with α of repairing front and back, set up the rigidity of every bridge block and the relational model of α, and estimate loss and the recovery situation of bridge structure rigidity by the situation of change of surveying α;
V, after Criterion illustraton of model, need to continue to gather the deflection deformation of a period of time and vehicular load data, by data screening and data statistics, deflection deformation model parameter average μ and standard deviation α is revised further, guarantee the accuracy of model;
The deflection of bridge span deformation measurement data that VI, deflection deformation model can will be collected after revising, after rejecting abnormalities data, carry out statistical study, result of calculation and master pattern are compared analysis, comprise master pattern figure comparative analysis and parameter comparison analysis, the change realizing bridge stiffness differentiates.
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| CN106097819A (en) * | 2016-07-31 | 2016-11-09 | 重庆交通大学 | Bridge for experimental teaching emulates detection method and system |
| CN106197911A (en) * | 2016-07-08 | 2016-12-07 | 招商局重庆交通科研设计院有限公司 | A kind of Test on Bridge Loading method |
| CN106409044A (en) * | 2016-07-31 | 2017-02-15 | 重庆交通大学 | Bridge monitoring teaching system based on designable bridge model |
| CN106768743A (en) * | 2016-12-08 | 2017-05-31 | 合肥城市云数据中心股份有限公司 | A kind of linear appraisal procedure of bridge main beam based on real time data processing technology |
| CN107274697A (en) * | 2016-04-01 | 2017-10-20 | 松下电器（美国）知识产权公司 | Infrastructure check device, inspection method and infrastructure inspection system |
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| CN110567514A (en) * | 2019-08-22 | 2019-12-13 | 北京建筑大学 | bridge structure safety state monitoring system and monitoring method based on intelligent support |
| CN111157200A (en) * | 2017-01-25 | 2020-05-15 | 松下知识产权经营株式会社 | Rigidity measuring device and rigidity measuring method |
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| CN110132512B (en) * | 2019-05-30 | 2020-09-22 | 山东省建筑科学研究院有限公司 | Bridge structure monitoring and evaluating method based on girder rigidity attenuation law |
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Address after: 102200, Beijing Changping District science and Technology Park, super Road, No. 37, No. 6, building 4, No. 1039 Patentee after: BEIJING TEXIDA TRAFFIC FOUNDATION FACILITY CONSULTANT Co.,Ltd. Address before: 102200, Beijing Changping District science and Technology Park, super Road, No. 37, No. 6, building 4, No. 1039 Patentee before: BEIJING TEXIDA TRANSPORTATION FACILITIES CONSULTANTS CO.,LTD. |
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Effective date of registration: 20210816 Address after: 211112 No. 1009, Tianyuan East Road, Jiangning District, Nanjing, Jiangsu Province (Jiangning Gaoxin Park) Patentee after: Dongqu Intelligent Transportation Infrastructure Technology (Jiangsu) Co.,Ltd. Address before: 102200 Beijing Changping District Science and Technology Park, No. 37 Qianqian Road, Building No. 6, Floor 4, 1039 Patentee before: BEIJING TEXIDA TRAFFIC FOUNDATION FACILITY CONSULTANT Co.,Ltd. |
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Denomination of invention: A Method for Determining the Stiffness Change of Bridge Structures Based on Deformation Data from Bridge Health Monitoring Effective date of registration: 20230428 Granted publication date: 20180119 Pledgee: Bank of Nanjing Co.,Ltd. Jiangning sub branch Pledgor: Dongqu Intelligent Transportation Infrastructure Technology (Jiangsu) Co.,Ltd. Registration number: Y2023980039534 |
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Granted publication date: 20180119 Pledgee: Bank of Nanjing Co.,Ltd. Jiangning sub branch Pledgor: Dongqu Intelligent Transportation Infrastructure Technology (Jiangsu) Co.,Ltd. Registration number: Y2023980039534 |
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Denomination of invention: A method for determining the stiffness changes of bridge structures based on deformation data from bridge health monitoring Granted publication date: 20180119 Pledgee: Bank of Nanjing Co.,Ltd. Jiangning sub branch Pledgor: Dongqu Intelligent Transportation Infrastructure Technology (Jiangsu) Co.,Ltd. Registration number: Y2024980017464 |