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 language | English |
---|---|
Title of host publication | Probabilistic Mechanics and Structural Reliability : Proceedings of the 8th ASCE Joint Specialty Conference |
Editors | A. Kareem, A. Haldar, B.F. Spencer Jr., E.A. Johnson |
Number of pages | 6 |
Publisher | American Society of Civil Engineers |
Publication date | 2000 |
Publication status | Published - 2000 |
Event | Probabilistic Mechanics and Structural Reliability: ASCE Joint Specialty Conference - Notre Dame, Indianapolis, United States Duration: 24 Jul 2000 → 26 Jul 2000 Conference number: 8 |
Conference
Conference | Probabilistic Mechanics and Structural Reliability |
---|---|
Number | 8 |
Country/Territory | United States |
City | Notre Dame, Indianapolis |
Period | 24/07/2000 → 26/07/2000 |
Keywords
- Inspection Planning
- Bayesian Decision Analysis
- Approximations