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Bayesian Sampling using Condition Indicators

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Authors:
  • Faber, Michael H. ;
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    Swiss Federal Institute of Technology
  • Sørensen, John Dalsgaard
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    Department of Civil Engineering, The Faculty of Engineering and Science, Aalborg University
Editor:
Corotis, R.B., Schuëller, G.I., Shinozuka, M.
Abstract:
The problem of control quality of components is considered for the special case where the acceptable failure rate is low, the test costs are high and where it may be difficult or impossible to test the condition of interest directly. Based on the classical control theory and the concept of condition indicators introduced by Benjamin and Cornell (1970) a Bayesian approach to quality control is formulated. The formulation is then extended to the case where the quality control is based on sampling of indirect information about the condition of the components, i.e. condition indicators. This allows for a Bayesian formulation of the indicators whereby the experience and expertise of the inspection personnel may be fully utilized and consistently updated as frequentistic information is collected. The approach is illustrated on an example considering a concrete structure subject to corrosion. It is shown how half-cell potential measurements may be utilized to update the probability of excessive repair after 50 years.
Type:
Conference paper
Language:
English
Published in:
Proceedings of the 8th International Conference on Structural Safety and Reliability, 2002
Keywords:
Classical Sampling; Bayesian Sampling; Subjective Information; Bayesian Indicators; Test Planning; Concrete; Corrosion; Half-Cell Potential Measurements; Maintenance Planning
Main Research Area:
Science/technology
Publication Status:
Published
Review type:
Peer Review
Conference:
International Conferene on Structural Safety and Reliability, 2002
Publisher:
CRC Press/Balkema
Submission year:
2002
Scientific Level:
Scientific
ID:
2389363714
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