CN109556847B - Novel damage monitoring system for simply supported beam bridge structure - Google Patents

Novel damage monitoring system for simply supported beam bridge structure Download PDF

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CN109556847B
CN109556847B CN201811544759.0A CN201811544759A CN109556847B CN 109556847 B CN109556847 B CN 109556847B CN 201811544759 A CN201811544759 A CN 201811544759A CN 109556847 B CN109556847 B CN 109556847B
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bridge
dimensional vibration
vibration sensor
vehicle
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CN109556847A (en
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蔡曙日
王磊
刘刚
韦韩
刘晓雪
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Research Institute of Highway Ministry of Transport
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Abstract

The invention relates to a real-time monitoring system for a bridge structure, in particular to a simply supported bridge, and relates to a structural damage monitoring system, a corresponding vibration sensor arrangement method and a structural damage assessment method. The three-dimensional vibration sensors are arranged at the positions of one-quarter span, one-half span and three-quarter span at the bottom of each single-plate beam of the simply-supported beam bridge, so that vibration data of a single vehicle of a monitoring vehicle type during bridge crossing are acquired. By carrying out big data clustering analysis on vibration correlation among the measuring points, the transverse transmission condition of the vibration of the simply supported girder bridge can be monitored according to the separation condition of clustering, the structural damage condition of the bridge is evaluated, early warning is timely sent out, and the condition of single girder stress is avoided.

Description

Novel damage monitoring system for simply supported beam bridge structure
Technical Field
The invention relates to a real-time monitoring system for a bridge structure, in particular to a simply supported bridge, and relates to a structural damage monitoring system, a corresponding structural monitoring sensor arrangement method and a structural damage assessment method.
Background
Relevant data show that the bridges with medium and small spans in China account for about 80% of the total amount of the existing bridges in China, and the simply supported bridge is an important component of the concrete bridges with medium and small spans. With the extension of the service period of the simply supported girder bridge and the improvement of the traffic load grade, the bearing capacity of the simply supported girder bridge built in the early period can not meet the requirement of modern traffic. At present, diseases with different degrees and different forms have appeared on a part of simple-supported beam bridges in service, and transverse connection failure is one of the main diseases of the simple-supported beam bridges. The transverse connection failure is typically characterized by the peeling of concrete on the surface of the connecting steel plate, the cracking of the welding seam of the connecting steel plate and the like, so that the stressed beam cannot effectively transmit load to the unstressed beam. The transverse connection failure of the simply supported girder bridge can reduce the integrity of the bridge structure, affect the transverse distribution rule of load, lead to the increase of the deflection of the stressed girder and the reduction of the deflection of the unstressed girder, lead to the failure of the good cooperative work between the stressed girder and the unstressed girder and lead to the easy damage of the stressed girder. The condition of 'single beam stress' can appear in severe cases, and huge potential safety hazards are buried for transportation. At present, an effective and systematic method for monitoring the transverse connection failure of the simply supported girder bridge does not exist. Therefore, the monitoring of the transverse connection damage of the simply supported girder bridge has very important significance.
Disclosure of Invention
In order to solve the technical problems, the invention provides a structural damage monitoring system, wherein a three-dimensional vibration sensor is arranged at a specified position of a bridge to monitor the coupling vibration condition of an axle, and the transverse transmission condition of the vibration of a simply supported beam bridge can be monitored by carrying out big data analysis on the vibration correlation among measuring points, so that the structural damage condition of the bridge is evaluated.
The utility model provides a novel simply supported girder bridge structural damage monitoring system, the technical scheme who adopts is: comprises a data acquisition subsystem and a data processing subsystem.
The data acquisition subsystem comprises a three-dimensional vibration sensor and a multi-channel data acquisition device, and the data processing subsystem comprises a database, a data preprocessing module and a data analysis module. The output of the three-dimensional vibration sensor is connected to the input of a multi-channel data acquisition device, the output of the multi-channel data acquisition device is connected to the input of a database, and the database is respectively connected with a data preprocessing module and a data analysis module.
And the data acquisition subsystem is used for arranging three-dimensional vibration sensors at the positions of one-quarter span, one-half span and three-quarter span at the bottom of each single-plate beam of the simply supported beam bridge and acquiring vibration signals when a single vehicle of a monitoring vehicle passes the bridge. The three-dimensional vibration sensors are arranged in the same way, and one of the three detection shafts is vertical to the beam surface to detect the vibration of the bridge in the vertical direction; the other two detection shafts are parallel to the beam surface and are respectively parallel to and perpendicular to the trend of the bridge.
The multi-channel data acquisition equipment conditions and filters the acquired vibration signals and reduces the noise of the vibration signals.
The data preprocessing module is used for clustering data into effective data and invalid data by adopting a K-means clustering algorithm, eliminating abnormal data and carrying out interpolation supplement according to data trends so as to ensure the effectiveness of the data.
The data analysis module comprises the following data analysis steps:
s1: synchronously segmenting vibration signals of a single vehicle of a monitored vehicle type when passing a bridge according to time;
s2: assuming a total of N beam plates, the weight of the vehicle is increasedThe center of gravity acts on the j (j ∈ {1,2,3} th three-dimensional vibration sensor S of the i (i ∈ {1,2, …, N) } th beam plateijExtracting corresponding data segments of all three-dimensional vibration sensors under the condition of (1);
s3: jth three-dimensional vibration sensor S acting on ith beam plate for kth time of gravity center of vehicleijIn the case of (1), each three-dimensional vibration sensor and S are obtainedijThe correlation coefficients on three detection axes are obtained to obtain SijWherein, the correlation matrix of the m ∈ {1,2,3} th detection axis is:
Figure GDA0002565464640000021
wherein the content of the first and second substances,
Figure GDA0002565464640000022
the kth three-dimensional vibration sensor S of the gravity center of the vehicle acts on the ith beam plateijThe ith three-dimensional vibration sensor S of the ith beam plategh(g ∈ {1,2, …, N }, h ∈ {1,2,3}) and a three-dimensional vibration sensor SijThe correlation coefficient on the m-th detection axis,
Figure GDA0002565464640000023
and
Figure GDA0002565464640000024
cov represents covariance and Var represents variance for both monitored data segments;
s4: when the data amount is large enough, the jth three-dimensional vibration sensor S acting on the ith beam plate is used for the gravity center of the vehicleijIn the case of (1), the three-dimensional vibration sensor SghAnd SijSet of correlation coefficients on the m-th detection axis
Figure GDA0002565464640000025
And performing cluster analysis, and judging the transverse connection condition between the beam plate g and the beam plate i according to the separation condition of the clusters.
Preferably, the monitoring vehicle model is a vehicle with the weight of more than 10 tons.
The method has the advantages that the three-dimensional vibration sensor is arranged at the key position of the bottom of each single plate beam of the simple girder bridge to acquire the vibration signal when the single vehicle of the monitored vehicle type passes the bridge, and the vibration correlation among the measuring points is analyzed by a big data analysis method, so that the structural damage and the transverse connection failure of the simple girder bridge can be effectively monitored, early warning is timely sent out, and the condition that the single beam is stressed is avoided.
Drawings
FIG. 1 is a schematic diagram of a three-dimensional vibration sensor arrangement for monitoring a single-plate simple supported beam.
Fig. 2 is a sectional view of the overall installation arrangement of the three-dimensional vibration sensor of the simply supported beam bridge.
FIG. 3 is a schematic block diagram of a damage monitoring system for a simply supported bridge structure according to the present invention.
Fig. 4 is a flow chart of structure monitoring data acquisition, aggregation and structural damage analysis.
Fig. 5 to 8 are schematic diagrams of the big data cluster analysis results.
Detailed Description
The present invention is described in detail below with reference to the attached drawings.
The three-dimensional vibration sensor arrangement of the novel simply supported beam bridge structure monitoring system is shown in fig. 1 and fig. 2, the system schematic block diagram is shown in fig. 3, and fig. 4 is a flow chart of structure monitoring data acquisition, aggregation and structural damage analysis.
As shown in fig. 3, the system includes a data acquisition subsystem and a data processing subsystem.
The data acquisition subsystem comprises a three-dimensional vibration sensor and a multi-channel data acquisition device, and the data processing subsystem comprises a database, a data preprocessing module and a data analysis module. The output of the three-dimensional vibration sensor is connected to the input of a multi-channel data acquisition device, the output of the multi-channel data acquisition device is connected to the input of a database, and the database is respectively connected with a data preprocessing module and a data analysis module.
The data acquisition subsystem arranges three-dimensional vibration sensors 2 at the positions of one-quarter span, one-half span and three-quarter span at the bottom of each single-plate beam 1 of the simply supported beam bridge for acquiring vibration signals when a single vehicle of a monitoring vehicle passes the bridge. The three-dimensional vibration sensors are arranged in the same way, and one of the three detection shafts is vertical to the beam surface to detect the vibration of the bridge in the vertical direction; the other two detection shafts are parallel to the beam surface and are respectively parallel to and perpendicular to the trend of the bridge. The monitoring vehicle type is a vehicle with the weight of more than 10 tons.
The multi-channel data acquisition equipment conditions and filters the acquired vibration signals and reduces the noise of the vibration signals.
The data preprocessing module is used for clustering data into effective data and invalid data by adopting a K-means clustering algorithm, eliminating abnormal data and carrying out interpolation supplement according to data trends, so that the effectiveness of the data is ensured;
the data analysis module comprises the following data analysis steps:
s1: synchronously segmenting vibration signals of a single vehicle of a monitored vehicle type when passing a bridge according to time;
s2, assuming N beam plates in total, the three-dimensional vibration sensor S acts on the j (j ∈ {1,2,3} th beam plate of the i (i ∈ {1,2, …, N) } th beam plate to the gravity center of the vehicleijExtracting the corresponding data segments of all the three-dimensional vibration sensors.
S3: jth three-dimensional vibration sensor S acting on ith beam plate for kth time of gravity center of vehicleijIn the case of (1), each three-dimensional vibration sensor and S are obtainedijThe correlation coefficients on three detection axes are obtained to obtain SijWherein the correlation matrix of the m ∈ {1,2,3} th detection axis is
Figure GDA0002565464640000041
Wherein the content of the first and second substances,
Figure GDA0002565464640000042
the k-th action of the gravity center of the vehicle on the k-thJ-th three-dimensional vibration sensor S of i beam platesijThe ith three-dimensional vibration sensor S of the ith beam plategh(g ∈ {1,2, …, N }, h ∈ {1,2,3}) and a three-dimensional vibration sensor SijThe correlation coefficient on the m-th detection axis,
Figure GDA0002565464640000043
and
Figure GDA0002565464640000044
cov represents covariance and Var represents variance for both monitored data segments.
S4: when the data amount is large enough, the jth three-dimensional vibration sensor S acting on the ith beam plate is used for the gravity center of the vehicleijIn the case of (1), the three-dimensional vibration sensor SghAnd SijSet of correlation coefficients on the m-th detection axis
Figure GDA0002565464640000045
And performing cluster analysis, and judging the transverse connection condition between the beam plate g and the beam plate i according to the separation condition of the clusters. If the clustering result is shown in FIG. 5, it indicates that the cross-linking condition is good. If the situation shown in fig. 6 to 8 occurs, it is indicated that there is a transverse connection damage. Fig. 6 illustrates that a sudden transverse connection damage occurs between beam plates at a certain time point, and fig. 8 illustrates that the transverse connection damage gradually increases and becomes deeper. The situation of fig. 7 illustrates the situation where the lateral connection condition reaches from one stable state to another stable state through the accumulation of damage over time.
The present invention is not limited to the above-described embodiments, and any obvious modifications or alterations to the above-described embodiments may be made by those skilled in the art without departing from the spirit of the present invention and the scope of the appended claims.

Claims (2)

1. The utility model provides a novel simply supported beam bridge structural damage monitoring system, contains data acquisition subsystem and data processing subsystem, its characterized in that:
the data acquisition subsystem comprises a three-dimensional vibration sensor and multi-channel data acquisition equipment, and the data processing subsystem comprises a database, a data preprocessing module and a data analysis module;
the output of the three-dimensional vibration sensor is connected to the input of a multi-channel data acquisition device, the output of the multi-channel data acquisition device is connected to the input of a database, and the database is respectively connected with a data preprocessing module and a data analysis module;
the data acquisition subsystem is characterized in that three-dimensional vibration sensors are arranged at the positions of one-quarter span, one-half span and three-quarter span at the bottom of each single-plate beam of the simply supported beam bridge and are used for acquiring vibration signals when a single vehicle of a monitoring vehicle passes the bridge;
the three-dimensional vibration sensors are arranged in the same way, and one of the three detection shafts is vertical to the beam surface to detect the vibration of the bridge in the vertical direction; the other two detection shafts are parallel to the beam surface and are respectively parallel to and perpendicular to the trend of the bridge;
the multi-channel data acquisition equipment conditions and filters the acquired vibration signals to reduce the noise of the vibration signals;
the data preprocessing module is used for clustering data into effective data and invalid data by adopting a K-means clustering algorithm, eliminating abnormal data, and performing interpolation supplement according to data trends to ensure the effectiveness of the data;
the data analysis module comprises the following data analysis steps:
s1: synchronously segmenting vibration signals of a single vehicle of a monitored vehicle type when passing a bridge according to time;
s2, assuming N beam plates, the three-dimensional vibration sensor S acts on the j (j ∈ {1,2,3} th beam plate of the i (i ∈ {1, 2., N) } th beam plate to the gravity center of the vehicleijExtracting corresponding data segments of all three-dimensional vibration sensors under the condition of (1);
s3: jth three-dimensional vibration sensor S acting on ith beam plate for kth time of gravity center of vehicleijIn the case of (1), each three-dimensional vibration sensor and S are obtainedijThe correlation coefficients on three detection axes are obtained to obtain SijWherein the correlation matrix of the m ∈ {1,2,3} th detection axis is
Figure FDA0002603540660000011
Wherein the content of the first and second substances,
Figure FDA0002603540660000012
the kth three-dimensional vibration sensor S of the gravity center of the vehicle acts on the ith beam plateijThe ith three-dimensional vibration sensor S of the ith beam plategh(g ∈ {1, 2., N }, h ∈ {1,2,3}) and a three-dimensional vibration sensor SijThe correlation coefficient on the m-th detection axis,
Figure FDA0002603540660000021
and
Figure FDA0002603540660000022
cov represents covariance and Var represents variance for both monitored data segments;
s4: when the data amount is large enough, the jth three-dimensional vibration sensor S acting on the ith beam plate is used for the gravity center of the vehicleijIn the case of (1), the three-dimensional vibration sensor SghAnd SijSet of correlation coefficients on the m-th detection axis
Figure FDA0002603540660000023
And performing cluster analysis, and judging the transverse connection condition between the beam plate g and the beam plate i according to the separation condition of the clusters.
2. The novel damage monitoring system for the simply supported beam bridge structure of claim 1, wherein the monitoring vehicle type is a vehicle with a weight of 10 tons or more.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101763053A (en) * 2008-12-26 2010-06-30 上海交技发展股份有限公司 Movable type bridge security detection and analysis management system
JP2015004526A (en) * 2013-06-19 2015-01-08 清水建設株式会社 Damage detection method of structure, and structure health monitoring system
CN105241660A (en) * 2015-11-09 2016-01-13 西南交通大学 High-speed rail large-scale bridge performance evaluation method based on health monitoring data
CN105716814A (en) * 2016-01-26 2016-06-29 大连理工大学 Real-time monitoring system and method for assessing damage of truss structure
CN105865522A (en) * 2016-04-05 2016-08-17 江苏道亿智能科技有限公司 Bridge structure monitoring system

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ITMO20060039A1 (en) * 2006-02-07 2007-08-08 Mauro Baschieri SINGLE-WAY BRIDGE, ALSO OF GREAT LIGHT, LOW-BOW ARCH, SUITABLE FOR THE TRANSIT OF THE MOST HEAVY TRAINS, COMPLETELY ISISMICALLY INSULATED, INSENSITIVE TO THE LIQUEFACTION OF THE SOIL, NOT SUBJECT TO AEROELASTIC, SUSCEPTIBLE INSTABILITY
TW201035416A (en) * 2009-03-26 2010-10-01 Accuracy Structural Technology Corp Method for evaluating bridge safety with vibration measurement
FR2977671B1 (en) * 2011-07-08 2013-11-29 01Db Metravib METHOD AND DEVICE FOR CONTROLLING TEMPORARY RETURN STRUCTURES
CN103344448A (en) * 2013-06-26 2013-10-09 中国路桥工程有限责任公司 Method and system for identifying damage of bridge structure
CN104848924B (en) * 2014-12-18 2017-08-29 北京万集科技股份有限公司 Bridge load-carrying monitoring method, apparatus and system
CN107761559A (en) * 2016-08-16 2018-03-06 交通运输部公路科学研究所 It is a kind of have sweep the bridge machinery platform for patrolling function
CN107292023B (en) * 2017-06-20 2020-07-24 哈尔滨工业大学 Bridge structure state diagnosis method based on narrow-area characteristics of damage index system
CN108663084A (en) * 2018-04-25 2018-10-16 深圳汇创联合自动化控制有限公司 Bridge structure safe intelligent monitor system based on big data processing

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101763053A (en) * 2008-12-26 2010-06-30 上海交技发展股份有限公司 Movable type bridge security detection and analysis management system
JP2015004526A (en) * 2013-06-19 2015-01-08 清水建設株式会社 Damage detection method of structure, and structure health monitoring system
CN105241660A (en) * 2015-11-09 2016-01-13 西南交通大学 High-speed rail large-scale bridge performance evaluation method based on health monitoring data
CN105716814A (en) * 2016-01-26 2016-06-29 大连理工大学 Real-time monitoring system and method for assessing damage of truss structure
CN105865522A (en) * 2016-04-05 2016-08-17 江苏道亿智能科技有限公司 Bridge structure monitoring system

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