Detail publikace

Prestressed concrete roof girders: Part III – Semi-probabilistic design

Originální název

Prestressed concrete roof girders: Part III – Semi-probabilistic design

Anglický název

Prestressed concrete roof girders: Part III – Semi-probabilistic design

Jazyk

en

Originální abstrakt

The paper describes integration/application of the modelling of nonlinearity and uncertainty to predict shear failure behavior of prestressed concrete girders in the light of advanced semi-probabilistic design possibilities. The approach is complex, going from fracture-mechanical parameters determination and advanceddeterministic3Dcomputationalmodellingofgirderstostochasticmodelling,sensitivityandsurrogate modelling, as is described in Part I and Part II. The aim was to assess the variability of shear response and to presentandverifyalternativedesignproceduresincomparisonwithfullyprobabilisticdesign.Thereareseveral methods for determination of design value of response in combination with non-linear finite element modeling. In this study, it is shown how to determine design value of shear capacity by normative approaches, ECoV method, ECoV modified and by numerical quadrature. The most advanced (but time consuming) approach is fullyprobabilisticmethodbyMonteCarlotypesimulationtechniques.Applicationofthedescribedmethodson prestressed girders failing in shear is presented herein.

Anglický abstrakt

The paper describes integration/application of the modelling of nonlinearity and uncertainty to predict shear failure behavior of prestressed concrete girders in the light of advanced semi-probabilistic design possibilities. The approach is complex, going from fracture-mechanical parameters determination and advanceddeterministic3Dcomputationalmodellingofgirderstostochasticmodelling,sensitivityandsurrogate modelling, as is described in Part I and Part II. The aim was to assess the variability of shear response and to presentandverifyalternativedesignproceduresincomparisonwithfullyprobabilisticdesign.Thereareseveral methods for determination of design value of response in combination with non-linear finite element modeling. In this study, it is shown how to determine design value of shear capacity by normative approaches, ECoV method, ECoV modified and by numerical quadrature. The most advanced (but time consuming) approach is fullyprobabilisticmethodbyMonteCarlotypesimulationtechniques.Applicationofthedescribedmethodson prestressed girders failing in shear is presented herein.

BibTex


@inproceedings{BUT151817,
  author="Drahomír {Novák} and Lukáš {Novák} and Ondřej {Slowik} and Alfred {Strauss}",
  title="Prestressed concrete roof girders: Part III – Semi-probabilistic design
",
  annote="The paper describes integration/application of the modelling of nonlinearity and uncertainty to predict shear failure behavior of prestressed concrete girders in the light of advanced semi-probabilistic design possibilities. The approach is complex, going from fracture-mechanical parameters determination and advanceddeterministic3Dcomputationalmodellingofgirderstostochasticmodelling,sensitivityandsurrogate modelling, as is described in Part I and Part II. The aim was to assess the variability of shear response and to presentandverifyalternativedesignproceduresincomparisonwithfullyprobabilisticdesign.Thereareseveral methods for determination of design value of response in combination with non-linear finite element modeling. In this study, it is shown how to determine design value of shear capacity by normative approaches, ECoV method, ECoV modified and by numerical quadrature. The most advanced (but time consuming) approach is fullyprobabilisticmethodbyMonteCarlotypesimulationtechniques.Applicationofthedescribedmethodson prestressed girders failing in shear is presented herein.
",
  address="CRC press, Taylor and Francis group",
  booktitle="Proceedings of the Sixth International Symposium on Life-Cycle Civil Engineering (IALCCE 2018)",
  chapter="151817",
  edition="1",
  howpublished="print",
  institution="CRC press, Taylor and Francis group",
  year="2018",
  month="october",
  pages="510--517",
  publisher="CRC press, Taylor and Francis group",
  type="conference paper"
}