Approximations in Inspection Planning

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Planning of inspections of civil engineering structures may be performed within the framework of Bayesian decision analysis. The effort involved in a full Bayesian decision analysis is relatively large. Therefore, the actual inspection planning is usually performed using a number of approximations. One of the more important of these approximations is the assumption that all inspections will reveal no defects. Using this approximation the optimal inspection plan may be determined on the basis of conditional probabilities, i.e. the probability of failure given no defects have been found by the inspection. In this paper the quality of this approximation is investigated. The inspection planning is formulated both as a full Bayesian decision problem and on the basis of the assumption that the inspection will reveal no defects.
Original languageEnglish
Title of host publicationProbabilistic Mechanics and Structural Reliability : Proceedings of the 8th ASCE Joint Specialty Conference
EditorsA. Kareem, A. Haldar, B.F. Spencer Jr., E.A. Johnson
Number of pages6
PublisherAmerican Society of Civil Engineers
Publication date2000
Publication statusPublished - 2000
EventProbabilistic Mechanics and Structural Reliability: ASCE Joint Specialty Conference - Notre Dame, Indianapolis, United States
Duration: 24 Jul 200026 Jul 2000
Conference number: 8

Conference

ConferenceProbabilistic Mechanics and Structural Reliability
Number8
Country/TerritoryUnited States
CityNotre Dame, Indianapolis
Period24/07/200026/07/2000

Keywords

  • Inspection Planning
  • Bayesian Decision Analysis
  • Approximations

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