Full Content is available to subscribers

Subscribe/Learn More  >

Bayesian Updating of Deteriorating Bridge Infrastructures Through Monitoring Data

[+] Author Affiliations
Alexandros Taflanidis, Ioannis Gidaris

University of Notre Dame, Notre Dame, IN

Paper No. IMECE2011-64096, pp. 753-763; 11 pages
  • ASME 2011 International Mechanical Engineering Congress and Exposition
  • Volume 9: Transportation Systems; Safety Engineering, Risk Analysis and Reliability Methods; Applied Stochastic Optimization, Uncertainty and Probability
  • Denver, Colorado, USA, November 11–17, 2011
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5495-2
  • Copyright © 2011 by ASME


The knowledge about the deteriorating characteristics and future operation conditions in civil infrastructure systems is never complete. Any decision-making framework must include a rational approach for quantifying these uncertainties and their bearing on the decision making process, thought the entire life-cycle of operation. A probability logic approach provides a consistent foundation for this, employing probability models to characterize the relative likelihood of the different system properties. Health monitoring data, when available, may be used to update the probabilistic quantification related to these uncertainties as well the future assessment of the condition of the infrastructure system under consideration. This work presents a Bayesian framework for updating the assessment of bridge infrastructure systems through use of monitoring data. Focus is put on deteriorating characteristics for bridges, which can have a significant impact on the reliability of the system. Stochastic simulation techniques, primarily based on Markov Chain Monte Carlo simulation, are proposed for the Bayesian updating and various models classes are examined for the bridge system. The updating of the relative likelihood for each of the models through monitoring data is also considered. An illustrative example is presented that demonstrates the power of this approach for updating the assessment of an aging overpass concrete bridge and guiding maintenance decisions.

Copyright © 2011 by ASME



Interactive Graphics


Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In