Remote Bridge Scour Monitoring: A Prioritization and Implementation Guideline

Haas, Carl; Weissmann, Jose; Groll, Tom

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Remote Bridge Scour Monitoring: A Prioritization and Implementation Guideline

1999-05-01
By Haas, Carl ; Weissmann, Jose ; Groll, Tom

File Language:

English

Details

Creators:

Haas, Carl ; Weissmann, Jose ; Groll, Tom
Corporate Creators:

University of Texas at Austin. Center for Transportation Research ; University of Texas at San Antonio. Dept. of Civil Engineering
Corporate Contributors:

Texas. Dept. of Transportation. Office of Research and Technology Transfer
Subject/TRT Terms:
Publication/ Report Number:

TX-00/0-3970-1
Resource Type:

Tech Report
Geographical Coverage:

United States ; Texas
Edition:

Research Report; September 1997 - May 1999
Corporate Publisher:

University of Texas at Austin. Center for Transportation Research
Abstract:

Having the largest bridge population in the nation, the state of Texas stands to gain much through the development of bridge scour-monitoring and evaluation practices. Because it has such a large bridge population to manage, the Texas Department of Transportation (TxDOT) needs a logical and low-cost method of prioritizing and monitoring bridges for scour damage. An algorithm based on code contained in the BRINSAP database can be used effectively to prioritize bridge sites for further consideration of scour countermeasure implementation. Remote mechanical monitoring is an emerging method for detecting and tracking bridge scour. Mechanical scour monitors equipped with data telemetry equipment can provide a safe and effective means of tracking scour at bridge piers and abutments. Because remote mechanical scour monitoring is a relatively new approach, TxDOT should support extensive research and planning regarding methods of system development and implementation.
Format:

PDF
Funding:

7-3970
Download URL:

https://rosap.ntl.bts.gov/view/dot/14874/dot_14874_DS1.pdf
File Type:

[PDF - 927.60 KB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:a79f5b4ac51149afeda290f3761ecd4e1fa500d122bbbca3ff8e531e5762e6d3

File Language:

English

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