Detail publikace

Decision-making support based on virtual statistical modelling: case study of large subway tunnel launching

KERŠNER, Z. NOVÁK, D. VÍTEK, J. TEPLÝ, B.

Originální název

Decision-making support based on virtual statistical modelling: case study of large subway tunnel launching

Anglický název

Decision-making support based on virtual statistical modelling: case study of large subway tunnel launching

Jazyk

en

Originální abstrakt

The paper describes decision-making support based on the statistical simulation of the launching of large concrete subway tunnels onto a river bed. Both the selected technology of construction and the virtual statistical treatment of the feasibility of launching are unique. The actual load on the tunnels during launching is extremely sensitive to the scatter of geometrical imperfections.

Anglický abstrakt

The paper describes decision-making support based on the statistical simulation of the launching of large concrete subway tunnels onto a river bed. Both the selected technology of construction and the virtual statistical treatment of the feasibility of launching are unique. The actual load on the tunnels during launching is extremely sensitive to the scatter of geometrical imperfections.

Dokumenty

BibTex 


@inproceedings{BUT24272,
  author="Zbyněk {Keršner} and Drahomír {Novák} and Jan L. {Vítek} and Břetislav {Teplý}",
  title="Decision-making support based on virtual statistical modelling: case study of large subway tunnel launching",
  annote="The paper describes decision-making support based on the statistical simulation of the launching of large concrete subway tunnels onto a river bed. Both the selected technology of construction and the virtual statistical treatment of the feasibility of launching are unique. The actual load on the tunnels during launching is extremely sensitive to the scatter of geometrical imperfections.",
  booktitle="Computing and Decision Making in Civil and Buildin Engineering",
  chapter="24272",
  year="2006",
  month="june",
  pages="3070--3077",
  type="conference paper"
}