An application of Bayesian statistics for monitoring the thickness of shotcrete linings
2006 (English)In: Shotcrete for Underground Support X, 2006, 63-71 p.Conference paper (Refereed)
The concept of Bayesian statistics has been applied here to analyse aspects of monitoring the thickness of shotcrete linings. This paper presents a theoretical model describing the relationship between the minimum mean thickness stipulated in the design and the estimated mean thickness of the shotcrete in place. It is shown that prior information as well as, new information systematically can be taken into account in the estimation of the population parameters of shotcrete linings, such as mean values and standard deviation. A performance criterion is introduced that opens up for a transparent and systematic approach to monitor the actual shotcrete thickness in place as well as for means to adapt the mean thickness of the shotcrete in place towards the requirements of the design.
Place, publisher, year, edition, pages
2006. 63-71 p.
, Shotcrete for Underground Support X - Proceedings of the Tenth International Conference on Shotcrete for Underground Support, 215
Population parameters, Shotcrete linings, Standard deviations, Condition monitoring, Parameter estimation, Shotcreting, Statistics, Structural design, Thickness measurement, Bayesian networks
IdentifiersURN: urn:nbn:se:kth:diva-155864DOI: 10.1061/40885(215)6ScopusID: 2-s2.0-33847712585ISBN: 0784408858ISBN: 9780784408858OAI: oai:DiVA.org:kth-155864DiVA: diva2:764237
10th International Conference on Shotcrete for Underground Support, 12 September 2006 through 16 September 2006, Whistler, BC
QC 201411182014-11-182014-11-132014-11-18Bibliographically approved