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  • With respect to the current state of existing bridges an importance of load bearing capacity and reliability evaluation is growing up. As a case study an existing single-span road bridge made of post-tensioned concrete MPD4 girders was used. The paper deals with determination of load-bearing capacity which is performed using nonlinear FEM computational model and regarding the random properties of load and material parameters the fully probabilistic approach is used. Owing to the type of the bridge, the values of individual load bearing capacities are assessed with respect to the ultimate limit state, as well as the serviceability limit states.
  • With respect to the current state of existing bridges an importance of load bearing capacity and reliability evaluation is growing up. As a case study an existing single-span road bridge made of post-tensioned concrete MPD4 girders was used. The paper deals with determination of load-bearing capacity which is performed using nonlinear FEM computational model and regarding the random properties of load and material parameters the fully probabilistic approach is used. Owing to the type of the bridge, the values of individual load bearing capacities are assessed with respect to the ultimate limit state, as well as the serviceability limit states. (en)
Title
  • Probabilistic load bearing capacity assessment of post-tensioned composite bridge
  • Probabilistic load bearing capacity assessment of post-tensioned composite bridge (en)
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  • Probabilistic load bearing capacity assessment of post-tensioned composite bridge
  • Probabilistic load bearing capacity assessment of post-tensioned composite bridge (en)
skos:notation
  • RIV/00216305:26110/13:PU107858!RIV14-GA0-26110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA13-03662S), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 99662
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26110/13:PU107858
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  • Bridges, load bearing capacity, MPD girder, probabilistic nonlinear analysis, reliability assessment (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FFC05D36B5E3]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno, Česká republika
http://linked.open...i/riv/nazevZdroje
  • Poceedings of 11th International Probabilistic Workshop
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  • Lehký, David
  • Šomodíková, Martina
  • Doležel, Jiří
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • Neuveden
https://schema.org/isbn
  • 978-80-214-4800-1
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  • 26110
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