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Assessing the Probabilistic Assumptions Behind Structural Reliability via Simulation
Current design standards for steel structures in North America use a structural reliability model that employs first-order probability methods. This approach yields interpretable safety indexes and corresponding probabilities of failure, based on a log-normality assumption for the load and resistance probability distributions. In this work, the suitability of a log-normal assumption for the resistance distribution is assessed numerically by constructing approximate distributions of the ultimate limit state resistance of various welded steel connections between rectangular hollow section (RHS) members. Raw data from material surveys and experimental results are combined to produce approximate resistance distributions for RHS X-connections, under branch axial compression and for a variety of geometric scenarios. It is empirically shown that resistance distributions are often well represented by log-normal distributions, despite deviations in laboratory results. This suggests that current reliability analyses, as prescribed by first-order methods such as in CSA S408-11, are adequate for a wide range of resistance models for steel members and connections, even for moderate violations of assumptions in experimental or numerical data.
Assessing the Probabilistic Assumptions Behind Structural Reliability via Simulation
Current design standards for steel structures in North America use a structural reliability model that employs first-order probability methods. This approach yields interpretable safety indexes and corresponding probabilities of failure, based on a log-normality assumption for the load and resistance probability distributions. In this work, the suitability of a log-normal assumption for the resistance distribution is assessed numerically by constructing approximate distributions of the ultimate limit state resistance of various welded steel connections between rectangular hollow section (RHS) members. Raw data from material surveys and experimental results are combined to produce approximate resistance distributions for RHS X-connections, under branch axial compression and for a variety of geometric scenarios. It is empirically shown that resistance distributions are often well represented by log-normal distributions, despite deviations in laboratory results. This suggests that current reliability analyses, as prescribed by first-order methods such as in CSA S408-11, are adequate for a wide range of resistance models for steel members and connections, even for moderate violations of assumptions in experimental or numerical data.
Assessing the Probabilistic Assumptions Behind Structural Reliability via Simulation
Lecture Notes in Civil Engineering
Walbridge, Scott (Herausgeber:in) / Nik-Bakht, Mazdak (Herausgeber:in) / Ng, Kelvin Tsun Wai (Herausgeber:in) / Shome, Manas (Herausgeber:in) / Alam, M. Shahria (Herausgeber:in) / El Damatty, Ashraf (Herausgeber:in) / Lovegrove, Gordon (Herausgeber:in) / Xi, Q. (Autor:in) / Packer, J. (Autor:in)
Canadian Society of Civil Engineering Annual Conference ; 2021
Proceedings of the Canadian Society of Civil Engineering Annual Conference 2021 ; Kapitel: 40 ; 471-482
17.06.2022
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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