COMPARISON OF EIGENMODE-BASED AND RANDOM FIELD-BASED IMPERFECTION MODELING FOR THE STOCHASTIC BUCKLING ANALYSIS OF I-SECTION BEAM–COLUMNS

Handle URI:
http://hdl.handle.net/10754/597812
Title:
COMPARISON OF EIGENMODE-BASED AND RANDOM FIELD-BASED IMPERFECTION MODELING FOR THE STOCHASTIC BUCKLING ANALYSIS OF I-SECTION BEAM–COLUMNS
Authors:
STAVREV, A.; STEFANOV, D.; SCHILLINGER, D.; RANK, E.
Abstract:
The uncertainty of geometric imperfections in a series of nominally equal I-beams leads to a variability of corresponding buckling loads. Its analysis requires a stochastic imperfection model, which can be derived either by the simple variation of the critical eigenmode with a scalar random variable, or with the help of the more advanced theory of random fields. The present paper first provides a concise review of the two different modeling approaches, covering theoretical background, assumptions and calibration, and illustrates their integration into commercial finite element software to conduct stochastic buckling analyses with the Monte-Carlo method. The stochastic buckling behavior of an example beam is then simulated with both stochastic models, calibrated from corresponding imperfection measurements. The simulation results show that for different load cases, the response statistics of the buckling load obtained with the eigenmode-based and the random field-based models agree very well. A comparison of our simulation results with corresponding Eurocode 3 limit loads indicates that the design standard is very conservative for compression dominated load cases. © 2013 World Scientific Publishing Company.
Citation:
STAVREV A, STEFANOV D, SCHILLINGER D, RANK E (2013) COMPARISON OF EIGENMODE-BASED AND RANDOM FIELD-BASED IMPERFECTION MODELING FOR THE STOCHASTIC BUCKLING ANALYSIS OF I-SECTION BEAM–COLUMNS. International Journal of Structural Stability and Dynamics 13: 1350021. Available: http://dx.doi.org/10.1142/S0219455413500211.
Publisher:
World Scientific Pub Co Pte Lt
Journal:
International Journal of Structural Stability and Dynamics
KAUST Grant Number:
UK-c0020
Issue Date:
Mar-2013
DOI:
10.1142/S0219455413500211
Type:
Article
ISSN:
0219-4554; 1793-6764
Sponsors:
This publication is based on work supported by Award No. UK-c0020, made by King Abdullah University of Science and Technology (KAUST). Furthermore, the authors acknowledge support from the Munich Center of Advanced Computing (MAC) and the International Graduate School of Science and Engineering (IGSSE) of the Technische Universitt Mnchen. Extensive research reports related to buckling experiments in I-sections have been kindly provided by Prof. Kim Rasmussen from the University of Sydney and Dr. Andreas Lechner from the Technical University of Graz. Their assistance is also gratefully acknowledged.
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorSTAVREV, A.en
dc.contributor.authorSTEFANOV, D.en
dc.contributor.authorSCHILLINGER, D.en
dc.contributor.authorRANK, E.en
dc.date.accessioned2016-02-25T12:57:08Zen
dc.date.available2016-02-25T12:57:08Zen
dc.date.issued2013-03en
dc.identifier.citationSTAVREV A, STEFANOV D, SCHILLINGER D, RANK E (2013) COMPARISON OF EIGENMODE-BASED AND RANDOM FIELD-BASED IMPERFECTION MODELING FOR THE STOCHASTIC BUCKLING ANALYSIS OF I-SECTION BEAM–COLUMNS. International Journal of Structural Stability and Dynamics 13: 1350021. Available: http://dx.doi.org/10.1142/S0219455413500211.en
dc.identifier.issn0219-4554en
dc.identifier.issn1793-6764en
dc.identifier.doi10.1142/S0219455413500211en
dc.identifier.urihttp://hdl.handle.net/10754/597812en
dc.description.abstractThe uncertainty of geometric imperfections in a series of nominally equal I-beams leads to a variability of corresponding buckling loads. Its analysis requires a stochastic imperfection model, which can be derived either by the simple variation of the critical eigenmode with a scalar random variable, or with the help of the more advanced theory of random fields. The present paper first provides a concise review of the two different modeling approaches, covering theoretical background, assumptions and calibration, and illustrates their integration into commercial finite element software to conduct stochastic buckling analyses with the Monte-Carlo method. The stochastic buckling behavior of an example beam is then simulated with both stochastic models, calibrated from corresponding imperfection measurements. The simulation results show that for different load cases, the response statistics of the buckling load obtained with the eigenmode-based and the random field-based models agree very well. A comparison of our simulation results with corresponding Eurocode 3 limit loads indicates that the design standard is very conservative for compression dominated load cases. © 2013 World Scientific Publishing Company.en
dc.description.sponsorshipThis publication is based on work supported by Award No. UK-c0020, made by King Abdullah University of Science and Technology (KAUST). Furthermore, the authors acknowledge support from the Munich Center of Advanced Computing (MAC) and the International Graduate School of Science and Engineering (IGSSE) of the Technische Universitt Mnchen. Extensive research reports related to buckling experiments in I-sections have been kindly provided by Prof. Kim Rasmussen from the University of Sydney and Dr. Andreas Lechner from the Technical University of Graz. Their assistance is also gratefully acknowledged.en
dc.publisherWorld Scientific Pub Co Pte Lten
dc.subjecteigenmode-based imperfection modelingen
dc.subjectFinite element analysisen
dc.subjectI-section beam-columnsen
dc.subjectRandom field-based imperfection modelingen
dc.subjectstochastic buckling analysisen
dc.titleCOMPARISON OF EIGENMODE-BASED AND RANDOM FIELD-BASED IMPERFECTION MODELING FOR THE STOCHASTIC BUCKLING ANALYSIS OF I-SECTION BEAM–COLUMNSen
dc.typeArticleen
dc.identifier.journalInternational Journal of Structural Stability and Dynamicsen
dc.contributor.institutionTechnische Universitat Munchen, Munich, Germanyen
kaust.grant.numberUK-c0020en
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