Author:
Faes Matthias G.R.,Daub Marco,Marelli Stefano,Patelli Edoardo,Beer Michael
Funder
Deutscher Akademischer Austauschdienst
Fonds Wetenschappelijk Onderzoek
Alexander von Humboldt-Stiftung
Subject
Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering
Reference105 articles.
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2. Faes M, Moens D. Recent trends in the modeling and quantification of non-probabilistic uncertainty. Arch Comput Methods Eng.
3. Reliability analysis with scarce information: Comparing alternative approaches in a geotechnical engineering context;Beer;Struct Saf,2013
4. Broggi M, Faes M, Patelli E, Govers Y, Moens D, Beer M. Comparison of Bayesian and interval uncertainty quantification: application to the AIRMOD test structure. In 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 – Proceedings, vol. 2018-Janua, 1–8, 2018.
5. A multivariate interval approach for inverse uncertainty quantification with limited experimental data;Faes;Mech Syst Sig Process,2019
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