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A platform for research: civil engineering, architecture and urbanism
Risk-optimal sampling for reliability-based design
Highlights A structural reliability framework accounting for the sample size is developed. The theory is used to suggest modifications to design standard specifications. Risk optimal design can be specified via sample-dependent partial material factors.
Abstract Routine reliance on minimal numbers of test results (sample size) in material parameter determinations for geotechnical design is often cited as a primary culprit in failures during and after construction. A decision analysis framework which explicitly accounts for sample size is developed using predictive reliability indices. The theory describes a relation between the optimal sample size, the conditional reliability index (generally used as target value), and the expected damages in case of failure. Based on the derived theory, potential modifications to standardised design specifications are suggested that would encourage better sampling practices, either through determining an optimal sample size, or by using sample size-dependent partial factors.
Risk-optimal sampling for reliability-based design
Highlights A structural reliability framework accounting for the sample size is developed. The theory is used to suggest modifications to design standard specifications. Risk optimal design can be specified via sample-dependent partial material factors.
Abstract Routine reliance on minimal numbers of test results (sample size) in material parameter determinations for geotechnical design is often cited as a primary culprit in failures during and after construction. A decision analysis framework which explicitly accounts for sample size is developed using predictive reliability indices. The theory describes a relation between the optimal sample size, the conditional reliability index (generally used as target value), and the expected damages in case of failure. Based on the derived theory, potential modifications to standardised design specifications are suggested that would encourage better sampling practices, either through determining an optimal sample size, or by using sample size-dependent partial factors.
Risk-optimal sampling for reliability-based design
De Koker, N. (author) / Viljoen, C. (author) / Day, P.W. (author)
Structural Safety ; 83
2019-10-22
Article (Journal)
Electronic Resource
English
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