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

Shafieezadeh, Abdollah; Mishalani, Rabi G.; Li, Zequn; NEXTRANS Center (U.S.); Ohio State University. Department of Civil, Environmental and Geodetic Engineering

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

2017-06-30
By Shafieezadeh, Abdollah ; Mishalani, Rabi G. ; Li, Zequn

[PDF-248.01 KB]

English

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Details:

Creators:

Shafieezadeh, Abdollah ; Mishalani, Rabi G. ; Li, Zequn

Shafieezadeh, Abdollah ; Mishalani, Rabi G. ; Li, Zequn Less -
Corporate Creators:

NEXTRANS Center (U.S.) ; Ohio State University. Department of Civil, Environmental and Geodetic Engineering

NEXTRANS Center (U.S.) ; Ohio State University. Department of Civil, Environmental and Geodetic Engineering Less -
Corporate Contributors:

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:

[+]

Bayes' Theorem Bridge Decks Bridges And Other Structures Concrete Bridges Condition Surveys Data Collection Deterioration Highways Inspection Maintenance And Preservation Planning And Forecasting Probability Visual Inspection
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
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:636f33336db44d9840135d490148487786f2a0747fdaab9c6050c748974c74d4
Download URL:

https://rosap.ntl.bts.gov/view/dot/37230/dot_37230_DS1.pdf
File Type:

No Additional Files

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

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