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  • Sampling methods for predicting a reliability index such as Monte Carlo or Latin Hypercube Sampling are very time consuming thus advanced simulation techniques are frequently used. The asymptotic sampling is one of new techniques based on asymptotic results from reliability theory supported with a simple regression. Since the high sensitivity of the asymptotic sampling method to the control parameters has been reported, this contribution is focused on a study of the optimal parameter setting. The well-known truss structure is introduced and results with different parameter settings are presented.
  • Sampling methods for predicting a reliability index such as Monte Carlo or Latin Hypercube Sampling are very time consuming thus advanced simulation techniques are frequently used. The asymptotic sampling is one of new techniques based on asymptotic results from reliability theory supported with a simple regression. Since the high sensitivity of the asymptotic sampling method to the control parameters has been reported, this contribution is focused on a study of the optimal parameter setting. The well-known truss structure is introduced and results with different parameter settings are presented. (en)
Title
  • Parameter Study of Asymptotic Sampling for Truss Structures Reliability
  • Parameter Study of Asymptotic Sampling for Truss Structures Reliability (en)
skos:prefLabel
  • Parameter Study of Asymptotic Sampling for Truss Structures Reliability
  • Parameter Study of Asymptotic Sampling for Truss Structures Reliability (en)
skos:notation
  • RIV/68407700:21110/14:00218916!RIV15-MSM-21110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP105/12/1146), S
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  • 35723
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  • RIV/68407700:21110/14:00218916
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  • asymptotic sampling; parameter study; reliability index; probability of failure; truss-like structure (en)
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  • [165306C56DB7]
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  • Štrbské Pleso
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  • ZURICH
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  • Structural and Physical Aspects of Civil Engineering
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  • Lepš, Matěj
  • Pospíšilová, Adéla
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issn
  • 1022-6680
number of pages
http://bibframe.org/vocab/doi
  • 10.4028/www.scientific.net/AMR.969.288
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  • TRANS TECH PUBLICATIONS LTD
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  • 978-3-03835-147-4
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  • 21110
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