A critical evaluation of bridge scour for Michigan specific conditions

Details

• Creators:
  Carpenter, Donald D. ; Miller, Carol ; Calappi, Timothy ; Hettiarachchi, Hiroshan ; McClerren, Matthew
• Corporate Creators:
  Michigan. Dept. of Transportation. Office of Research & Best Practice ; Lawrence Technological University. Department of Civil Engineering ; Wayne State University. Dept. of Civil Engineering
• Subject/TRT Terms:
  • Scour
  • Bridges
  • Mathematical prediction
  • Bridge design
  • Bridge Scour
  • Soil Erosion
  • HEC-18
  • HEC-RAS
• Publication/ Report Number:
  RC-1547
• Resource Type:
  Tech Report
• Geographical Coverage:
  Michigan
• Corporate Publisher:
  Lawrence Technological University. Dept. of Civil Engineering
• Abstract:
  The overall goal of this research was to improve MDOTs bridge scour prediction capability. In ; an effort to achieve this goal, the research team evaluated scour prediction methods utilized by ; state DOTs, conducted a field data collection project, and proposed an alternative approach for ; pier scour prediction. Nine locations and twelve unique spans were selected for monitoring. ; During the investigation, seven episodic measurements resulted in detectable pier scour. ; Scour depths ranged from 0.7 to 1.5 feet with the maximum return period corresponding to a ; seven-year flood event. No detectable scour events occurred at the continuous scour ; monitoring locations. This investigation also included the use of a Jet Erosion Test (JET) to ; experimentally determine if in-situ soil conditions could be correlated with measured bridge ; scour. The JET was able to correlate erodibility with geotechnical properties such as dry unit ; weight, soil type, and shear strength, but was not able to aid in the calibration and/or ; modification of the scour predication equations. In conclusion, a modified HEC-18 pier scour ; prediction equation was developed for application in Michigan using the National Bridge Scour ; Database (NBSD). This revised scour prediction procedure could allow MDOT to more ; accurately predict bridge scour and subsequently more efficiently design new bridge crossings ; and/or modify existing bridges. Finally, experimental and analytical approaches developed ; during this investigation provides a foundation for future research in the field of scour prediction.
  More +
• Format:
  PDF
• Funding:
  2007-0436 ; 2006-0413
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/18639/dot_18639_DS1.pdf
• File Type:
  [PDF - 8.45 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:622354aaba7cc277d63a9a5e8c1a6e59f50a712b37d9451f6bb01007d36ab09d