Methodology of homogeneous and non-homogeneous Markov Chains for modeling bridge element deterioration.

Details

• Creators:
  Fu, Gongkang ; Devaraj, Dinesh
• Corporate Creators:
  Wayne State University. Center for Advanced Bridge Engineering
• Subject/TRT Terms:
  • Highway maintenance
  • Bridges
  • Deterioration
  • Markov processes Bridges--Maintenance and repair--Management
  • Bridges--Deterioration--Mathematical models
  • Markov processes.
• Resource Type:
  Tech Report
• Geographical Coverage:
  Michigan
• Edition:
  Final report.
• Corporate Publisher:
  Michigan. Department of Transportation
• Abstract:
  Bridge management is an important activity of transportation agencies in the US ; and in many other countries. A critical aspect of bridge management is to reliably predict ; the deterioration of bridge structures, so that appropriate or optimal actions can be ; selected to reduce or minimize the deterioration rate and maximize the effect of spending ; for replacement or maintenance, repair, and rehabilitation (MR&R). In the US, Pontis is ; the most popular bridge management system used among the state transportation ; agencies. Its deterioration model uses the Markov Chain, with a statistical regression to ; estimate the required transition probabilities. This is the core part of deterioration ; prediction in Pontis. ; This report focuses on the Markov Chain model used in Pontis, which is vital to ; the understanding and implementation of the Pontis software. Emphasis has been made ; on the limitations of Pontis methodology, and establishing a new method for transition ; probability estimation. This is because predicting deterioration is the basis for decisionmaking ; with respect to MR&R. The next portion of this chapter presents a literature ; review on the subject of estimating transition probability matrix using Markov Chain for ; modeling deterioration in civil engineering facilities, such as bridges, pavements, and ; waste water systems.
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• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/18196/dot_18196_DS1.pdf
• File Type:
  [PDF - 2.20 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:a2e58d5370f6a9d6bb6c935c496013ba6a965066de18d7e6d08f90ac75cdd8c324b336a19028fb671a8569bec90c940d7efdc930f7dbe589a0414d787052099f