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International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP) (12th : 2015)
Influence on structural reliability of uncertainty in estimated extreme values of load-effects Reid, Stuart G.; Naess, Arvid
Abstract
Extreme values of time-varying loads are often estimated to serve as design loads for the purposes of structural design. Uncertainty in the estimation of the design loads inevitably leads to uncertainty in the resultant levels of structural reliability. Uncertainty is assessed for estimates of extreme wind loads calculated using statistical methods based on the average conditional exceedance rate (ACER), fitting of a Gumbel distribution and Peaks-over-Threshold (POT). The ACER method gave the best results, but all the methods gave results which would normally be considered to be sufficiently accurate for engineering applications. However, for structures designed on the basis of the estimated values of V100, the uncertainty in the estimated design loads produced very uncertain probabilities of failure with a significant increase in their expected value. It is concluded that the uncertain distribution of the probabilities of failure must be taken into account when evaluating structural safety and a ‘fiducial confidence function’ is proposed for this purpose.
Item Metadata
Title |
Influence on structural reliability of uncertainty in estimated extreme values of load-effects
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Creator | |
Contributor | |
Date Issued |
2015-07
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Description |
Extreme values of time-varying loads are often estimated to serve as design loads for the
purposes of structural design. Uncertainty in the estimation of the design loads inevitably leads to
uncertainty in the resultant levels of structural reliability. Uncertainty is assessed for estimates of
extreme wind loads calculated using statistical methods based on the average conditional exceedance
rate (ACER), fitting of a Gumbel distribution and Peaks-over-Threshold (POT). The ACER method
gave the best results, but all the methods gave results which would normally be considered to be
sufficiently accurate for engineering applications. However, for structures designed on the basis of the
estimated values of V100, the uncertainty in the estimated design loads produced very uncertain
probabilities of failure with a significant increase in their expected value. It is concluded that the
uncertain distribution of the probabilities of failure must be taken into account when evaluating
structural safety and a ‘fiducial confidence function’ is proposed for this purpose.
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Genre | |
Type | |
Language |
eng
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Notes |
This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.
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Date Available |
2015-05-25
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivs 2.5 Canada
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DOI |
10.14288/1.0076168
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URI | |
Affiliation | |
Citation |
Haukaas, T. (Ed.) (2015). Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12), Vancouver, Canada, July 12-15.
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Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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DSpace
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Rights
Attribution-NonCommercial-NoDerivs 2.5 Canada