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Erschienen in: Fire Technology 1/2016

01.01.2016

Simulation Methodology for Coupled Fire-Structure Analysis: Modeling Localized Fire Tests on a Steel Column

verfasst von: Chao Zhang, Julio G. Silva, Craig Weinschenk, Daisuke Kamikawa, Yuji Hasemi

Erschienen in: Fire Technology | Ausgabe 1/2016

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Abstract

Advanced simulation methods are needed to predict the complex behavior of structures exposed to realistic fires. Fire dynamics simulator (FDS) is a computational fluid dynamics code, developed by NIST for fire related simulations. In recent years, there has been an increase in use of FDS for performance-based analysis in the area of structural fire research. This paper discusses the FDS–finite element method (FEM) simulation methodology for structural fire analysis. The general methodology is described and a validation study is presented. A data element used to transfer data from FDS to FEM codes, the adiabatic surface temperature, is discussed. A tool named fire-thermomechanical interface is applied to transfer data from FDS to ANSYS. A high temperature stress–strain model for structural steel developed by NIST is included in the FEM analysis. Compared to experimental results, the FDS–FEM method predicted both the thermal and structural responses of a steel column in a localized fire test. The column buckling time was predicted with a maximum error of 7.8%. Based on these results, this methodology has potential to be used in performance-based analysis.

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Fußnoten
1
Certain commercial entities, equipment, or materials may be identified in this document in order to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose.
 
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Metadaten
Titel
Simulation Methodology for Coupled Fire-Structure Analysis: Modeling Localized Fire Tests on a Steel Column
verfasst von
Chao Zhang
Julio G. Silva
Craig Weinschenk
Daisuke Kamikawa
Yuji Hasemi
Publikationsdatum
01.01.2016
Verlag
Springer US
Erschienen in
Fire Technology / Ausgabe 1/2016
Print ISSN: 0015-2684
Elektronische ISSN: 1572-8099
DOI
https://doi.org/10.1007/s10694-015-0495-9

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