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A critical evaluation of bridge scour for Michigan specific conditions

Authors :
Carpenter, Donald D.
Miller, Carol
Calappi, Timothy
Hettiarachchi, Hiroshan
McClerren, Matthew
Michigan. Dept. of Transportation. Office of Research & Best Practice
Lawrence Technological University. Department of Civil Engineering
Wayne State University. Dept. of Civil Engineering
Carpenter, Donald D.
Miller, Carol
Calappi, Timothy
Hettiarachchi, Hiroshan
McClerren, Matthew
Michigan. Dept. of Transportation. Office of Research & Best Practice
Lawrence Technological University. Department of Civil Engineering
Wayne State University. Dept. of Civil Engineering

Abstract

2007-0436<br />2006-0413<br />The overall goal of this research was to improve MDOTs bridge scour prediction capability. In<br />an effort to achieve this goal, the research team evaluated scour prediction methods utilized by<br />state DOTs, conducted a field data collection project, and proposed an alternative approach for<br />pier scour prediction. Nine locations and twelve unique spans were selected for monitoring.<br />During the investigation, seven episodic measurements resulted in detectable pier scour.<br />Scour depths ranged from 0.7 to 1.5 feet with the maximum return period corresponding to a<br />seven-year flood event. No detectable scour events occurred at the continuous scour<br />monitoring locations. This investigation also included the use of a Jet Erosion Test (JET) to<br />experimentally determine if in-situ soil conditions could be correlated with measured bridge<br />scour. The JET was able to correlate erodibility with geotechnical properties such as dry unit<br />weight, soil type, and shear strength, but was not able to aid in the calibration and/or<br />modification of the scour predication equations. In conclusion, a modified HEC-18 pier scour<br />prediction equation was developed for application in Michigan using the National Bridge Scour<br />Database (NBSD). This revised scour prediction procedure could allow MDOT to more<br />accurately predict bridge scour and subsequently more efficiently design new bridge crossings<br />and/or modify existing bridges. Finally, experimental and analytical approaches developed<br />during this investigation provides a foundation for future research in the field of scour prediction.

Details

Database :
OAIster
Notes :
Michigan, PDF, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1047968603
Document Type :
Electronic Resource