Detail publikace

Jointless bridge: Reliability assessment

Originální název

Jointless bridge: Reliability assessment

Anglický název

Jointless bridge: Reliability assessment

Jazyk

en

Originální abstrakt

The paper presents reliability analysis of jointless bridge utilizing the previous part - the determination of fracture mechanical parameters based on inverse analysis. The computational model of bridge is developed using FEM nonlinear software ATENA. Stochastic model of the bridge is consequently created considering material parameters and loading as random variables. Randomization of software is done using small-sample Monte Carlo simulation implemented in FReET reliability software. Limit state functions for both ultimate capacity and serviceability are defined, theoretical failure probabilities are calculated using suitable simulation reliability techniques.

Anglický abstrakt

The paper presents reliability analysis of jointless bridge utilizing the previous part - the determination of fracture mechanical parameters based on inverse analysis. The computational model of bridge is developed using FEM nonlinear software ATENA. Stochastic model of the bridge is consequently created considering material parameters and loading as random variables. Randomization of software is done using small-sample Monte Carlo simulation implemented in FReET reliability software. Limit state functions for both ultimate capacity and serviceability are defined, theoretical failure probabilities are calculated using suitable simulation reliability techniques.

BibTex


@inproceedings{BUT138268,
  author="Jan {Podroužek} and Drahomír {Novák} and Alfred {Strauss}",
  title="Jointless bridge: Reliability assessment",
  annote="The paper presents reliability analysis of jointless bridge utilizing the previous part - the determination of fracture mechanical parameters based on inverse analysis. The computational model of bridge is developed using FEM nonlinear software ATENA. Stochastic model of the bridge is consequently created considering material parameters and loading as random variables. Randomization of software is done using small-sample Monte Carlo simulation implemented in FReET reliability software. Limit state functions for both ultimate capacity and serviceability are defined, theoretical failure probabilities are calculated using suitable simulation reliability techniques.",
  address="M. Papadrakakis, V. Papadopoulos, G. Stefanou",
  booktitle="Bridge Maintenance, Safety, Management and Life-Cycle Optimization - Proceedings of the 5th International Conference on Bridge Maintenance, Safety and Management",
  chapter="138268",
  howpublished="print",
  institution="M. Papadrakakis, V. Papadopoulos, G. Stefanou",
  year="2010",
  month="june",
  pages="480--485",
  publisher="M. Papadrakakis, V. Papadopoulos, G. Stefanou",
  type="conference paper"
}