BAYESIAN UPDATING PROCEDURE FOR PREDICTION OF CONCRETE BRIDGE DECK CONDITION USING VISUAL INSPECTION DATA

Details

• Creators:
  Shafieezadeh, Abdollah ; Mishalani, Rabi G. ; Li, Zequn
• Corporate Creators:
  NEXTRANS Center (U.S.) ; Ohio State University. Department of Civil, Environmental and Geodetic Engineering
• Corporate Contributors:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Bayes' theorem
  • Bridge decks
  • Concrete bridges
  • Condition surveys
  • Data collection
  • Deterioration
  • Inspection
  • Probability
  • Bridges and other structures
  • Highways
  More +
• Publication/ Report Number:
  NEXTRANS Project No.173OSUY2.2
• Resource Type:
  Tech Report
• Geographical Coverage:
  West North Central States
• Corporate Publisher:
  NEXTRANS Center (U.S.)
• Abstract:
  The objective of this study is to develop a framework that utilizes the bridge inspection data collected on an ongoing basis to update transition probabilities for concrete bridge decks. Doing so is expected to improve the representativeness of these probabilistic deterioration models and the accuracy of their predictions. An evaluation is also conducted to assess the value of such an approach.
• Format:
  PDF
• Alternate URL:
  http://www.purdue.edu/discoverypark/nextrans/assets/pdfs/173OSUY2.2_Summary and Technical Report.pdf
• Funding:
  DTRT12-G-UTC05
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/37230/dot_37230_DS1.pdf
• File Type:
  [PDF - 248.01 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:636f33336db44d9840135d490148487786f2a0747fdaab9c6050c748974c74d4