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CONTINUOUS AND AUTOMATED TRAFFIC MONITOR FOR IMMEDIATE IDENTIFICATION AND STATISTICAL HISTORY OF INFLUENCE LINE AND RATING FACTORS

KONDURY, SHIRISHA
http://rave.ohiolink.edu/etdc/view?acc_num=ucin996765671

Abstract Details

2001, MS, University of Cincinnati, Engineering : Electrical Engineering.
Instrumented bridge health monitoring has shown its significance in recent years and is causing more and more attention [1]. An instrumented bridge health monitoring surpasses a conventional visual bridge inspection in many aspects. While unsafe conclusions may be reached by visually proof-testing a bridge without an adequate instrumentation based test, instrumented monitoring may provide an objective measurement and lead to a clear understanding of bridge status. The collected long term and high-speed data, instrumented monitoring system may help civil engineers improve bridge design, construction, and maintenance mechanism and practice. Therefore, research on how to build a reliable, powerful, and convenient bridge health monitoring system is of great significance to improve bridge performance. The University of Cincinnati Infrastructure Institute (UCII) is making active work in the area of instrumented bridge health monitoring. In a project co-funded by the Ohio Department of Transportation (ODOT) and the Federal Highway Administration (FHWA), an instrumented monitoring system has been installed by UCII on a typical three-span steel stringer bridge located at the Cross-County Highway over Hamilton Avenue (HAM-126-0881L) in Cincinnati. The monitoring system is collecting a large amount of valuable data to civil engineers to help them establish a deeper understanding of bridge performance. An integrated Graphic User Interface (GUI) has also been developed with the LabVIEW G programming tool in order to provide a user-friendly interface for easy access, retrieval and processing of all the long term and high-speed bridge data. Also ADSL lines have been implemented for remote accessibility of the bridge monitoring system and transfer of bridge data to the lab server PC. The present thesis is based on future recommendations on Intelligent Health Monitoring mentioned in Dr Victor Hunt's doctoral thesis. It focuses on building a continuous and automatic traffic monitor for HAM-126 and realizing a database to maintain a statistical record of bridge rating parameters. In the previous system, the high speed DAQ had to be manually triggered to record data. Also, the recording of the data was done through LabVIEW and hence the data-sampling rate was restricted by the speed of execution of the program. In some situations when the user selected the option of recording in the MEGADAC, the maximum number of data sets for a defined test was restricted to ten. Also the MEGADAC memory has to be flushed intermittently to make sure that there is sufficient memory present for recording the data. In the existing system, the above problem has been overcome as explained in the later chapters. The MEGADAC memory is only used for temporarily storing the data set till it is exported to the bridge PC and each time a data set is recorded, it is overwritten so the number of data sets for the test is always one. Since we have two different modes of LabVIEW running during data collection we needed some kind of dynamic data exchange between the two modes to synchronize them. In the previous system LabVIEW 16 was the server and LabVIEW 32 the client and strain data was transferred from server to client, which slowed down the process due to large data transfer. In the present system, LabVIEW 32 is used as server and the other in client mode and only two numbers are exchanged from server to client. One is the vehicle code of each vehicle passing the bridge, which controls the auto-triggering of the high-speed DAQ and other which keeps a check on the status of the server program, which helps in switching off the client program if the server program is not running. The previous system did provide remote access to the bridge monitoring system but there was no post processing of the data done or any online decision making involved. The above shortcomings motivated the idea of developing a system wherein post-processing on the data would be done automatically and rating parameters would be generated online. In addition there would be a scheduled data transfer from bridge PC to the lab server PC and a database of the bridge status would be maintained. In addition details like the statistics and image of the largest vehicle on the bridge during a day, member that showed the maximum strain etc would also be obtained. This paper will present the development of the Automated and Continuous Monitor System including architectural design, data communication protocols and user interface development with LabVIEW and multi-tasking remote monitoring integration.
Dr. Arthur Helmicki (Advisor)
90 p.
health monitoring of bridges; intelligent bridge monitoring; traffic monitor; automated traffic monitor

Recommended Citations

Citations

  • KONDURY, S. (2001). CONTINUOUS AND AUTOMATED TRAFFIC MONITOR FOR IMMEDIATE IDENTIFICATION AND STATISTICAL HISTORY OF INFLUENCE LINE AND RATING FACTORS [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin996765671

    APA Style (7th edition)

  • KONDURY, SHIRISHA. CONTINUOUS AND AUTOMATED TRAFFIC MONITOR FOR IMMEDIATE IDENTIFICATION AND STATISTICAL HISTORY OF INFLUENCE LINE AND RATING FACTORS. 2001. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin996765671.

    MLA Style (8th edition)

  • KONDURY, SHIRISHA. "CONTINUOUS AND AUTOMATED TRAFFIC MONITOR FOR IMMEDIATE IDENTIFICATION AND STATISTICAL HISTORY OF INFLUENCE LINE AND RATING FACTORS." Master's thesis, University of Cincinnati, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin996765671

    Chicago Manual of Style (17th edition)

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This open access ETD is published by University of Cincinnati and OhioLINK.