On the nonstationary identification of climate-influenced loads for the semi-probabilistic approach using measured and projected data

  • A safe and economic structural design based on the semi-probabilistic concept requires statistically representative safety elements, such as characteristic values, design values, and partial safety factors. Regarding climate loads, the safety levels of current design codes strongly reflect experiences based on former measurements and investigations assuming stationary conditions, i.e. involvingA safe and economic structural design based on the semi-probabilistic concept requires statistically representative safety elements, such as characteristic values, design values, and partial safety factors. Regarding climate loads, the safety levels of current design codes strongly reflect experiences based on former measurements and investigations assuming stationary conditions, i.e. involving constant frequencies and intensities. However, due to climate change, occurrence of corresponding extreme weather events is expected to alter in the future influencing the reliability and safety of structures and their components. Based on established approaches, a systematically refined data-driven methodology for the determination of design parameters considering nonstationarity as well as standardized targets of structural reliability or safety, respectively, is therefore proposed. The presented procedure picks up fundamentals of European standardization and extends them with respect to nonstationarity by applying a shifting time window method. Taking projected snow loads into account, the application of the method is exemplarily demonstrated and various influencing parameters are discussed.show moreshow less

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  • Gefördert durch das Programm Open Access Publizieren der DFG und den Publikationsfonds der Bauhaus-Universität Weimar.

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Metadaten
Document Type:Article
Author:M. Sc. Robert ArnoldORCiD, Prof. Dr.-Ing Matthias KrausGND
DOI (Cite-Link):https://doi.org/10.1080/23311916.2022.2143061Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20221117-47363Cite-Link
URL:https://doi.org/10.1080/23311916.2022.2143061
Parent Title (English):Cogent Engineering
Publisher:Taylor & Francis
Place of publication:London
Editor: Duc Pham
Language:English
Date of Publication (online):2022/11/09
Date of first Publication:2022/11/09
Release Date:2022/11/17
Publishing Institution:Bauhaus-Universität Weimar
Institutes and partner institutions:Fakultät Bauingenieurwesen / Professur Stahl- und Hybridbau
Volume:2022
Issue:Volume 9, issue 1, article 2143061
Pagenumber:26
First Page:1
Last Page:26
Tag:Extreme value distribution; First Order Reliability Method; climate loads; nonstationarity; semi-probabilistic concept
GND Keyword:Reliabilität
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften
BKL-Classification:56 Bauwesen
Open Access Publikationsfonds:Open-Access-Publikationsfonds 2022
Licence (German):License Logo Creative Commons 4.0 - Namensnennung-Nicht kommerziell-Keine Bearbeitung (CC BY-NC-ND 4.0)