Determination of uncertainty in the description of crack widths using artificial neural networks

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Crack width formulations, such as the one described in Eurocode 2, present a single value to describe the crack width in reinforced concrete structures, but provide limited insight into the uncertainty of the description of crack widths. This paper describes how the uncertainty in the descriptions of these crack widths can be calculated by constructing Prediction Intervals for concrete members loaded in tension. Results showed that accurate and robust prediction intervals could be constructed using artificial neural networks combined with the Lower Upper Bound Estimation method. Furthermore, it was shown that the quantification of uncertainty provides more insight into the description of crack widths.
Originele taal-2Engels
Titel14th fib Phd Symposium in Civil Engineering, 2022, Proceedings
RedacteurenMarco di Prisco, Alberto Meda, Gyorgy L. Balazs
UitgeverijInternational Federation for Structural Concrete
Pagina's889-896
Aantal pagina's8
ISBN van elektronische versie978-2-940643-17-2
ISBN van geprinte versie9782940643172
StatusGepubliceerd - 7 sep. 2022
Evenement14th fib International PhD Symposium in Civil Engineering - Rome, Italië
Duur: 5 sep. 20227 sep. 2022
Congresnummer: 14

Publicatie series

Naamfib Symposium
ISSN van geprinte versie2617-4820

Congres

Congres14th fib International PhD Symposium in Civil Engineering
Land/RegioItalië
StadRome
Periode5/09/227/09/22

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