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Potential applications of discrete-event simulation and fuzzy rule-based systems to structural reliability and availability

Juan, A., Ferrer, A., Serrat, C., Faulin, J., Beliakov, Gleb and Hester, J. 2010, Potential applications of discrete-event simulation and fuzzy rule-based systems to structural reliability and availability, in Simulation methods for reliability and availability of complex systems, Springer-Verlag, London, England, pp.199-214.

Document type: Book Chapter
Collection: School of Information Technology
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Title Potential applications of discrete-event simulation and fuzzy rule-based systems to structural reliability and availability
Author(s) Juan, A.
Ferrer, A.
Serrat, C.
Faulin, J.
Beliakov, Gleb
Hester, J.
Title of book Simulation methods for reliability and availability of complex systems
Editor(s) Faulin, Javier
Juan, Angel A.
Martorell, Sebastian
Ramirez-Marquez, Jose-Emmanuel
Publication date 2010
Series Springer Series in Reliability Engineering
Chapter number 9
Total chapters 13
Start page 199
End page 214
Total pages 16
Publisher Springer-Verlag
Place of Publication London, England
Summary This chapter discusses and illustrates some potential applications of discrete-event simulation (DES) techniques in structural reliability and availability analysis, emphasizing the convenience of using probabilistic approaches in modern building and civil engineering practices. After reviewing existing literature on the topic, some advantages of probabilistic techniques over analytical ones are highlighted. Then, we introduce a general framework for performing structural reliability and availability analysis through DES. Our methodology proposes the use of statistical distributions and techniques – such as survival analysis – to model component-level reliability. Then, using failure- and repair-time distributions and information about the structural logical topology (which allows determination of the structural state from their components’ state), structural reliability, and availability information can be inferred. Two numerical examples illustrate some potential applications of the proposed methodology to achieving more reliable and structural designs. Finally, an alternative approach to model uncertainty at component level is also introduced as ongoing work. This new approach is based on the use of fuzzy rule-based systems and it allows the introduction of experts’ opinions and evaluations in our methodology.
ISBN 9781848822122
184882212X
ISSN 1614-7839
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
Copyright notice ©2010, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30033709
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