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Handling Uncertainties in Optimal Design of Suspension Bridges with Special Emphasis on Loads

  • Luca Sgambi
  • Franco Bontempi
  • Fabio Biondini
  • Dan M. Frangopol

Abstract

The robust evaluation of the bridge deformability parameters is important in an optimization procedure, in order to reach an adequate customer comfort and, from a general point of view, an adequate serviceability. A genetic algorithm based approach is presented and developed for a long suspension bridge.

Keywords

Genetic Algorithm Bridge Deck Suspension Bridge Line Load Carriage Load 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Biondini F., Bontempi F. and Malerba P.G. Fuzzy Theory and Genetically-Driven Simulation in the Reliability Assessment of Concrete Structures. Proceedings of the 8-th Conference on Probabilistic Mechanics and Structural Reliability. July 24-26, Notre Dame, USA 2000.Google Scholar
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    Silvestri M., Bontempi F. Strategy and formulation levels of the structural performance analysis of advanced system. Proceedings of the ISEC02 Conference, September 23-26, 2003, Rome, Italy.Google Scholar

Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Luca Sgambi
    • 1
  • Franco Bontempi
    • 1
  • Fabio Biondini
    • 2
  • Dan M. Frangopol
    • 3
  1. 1.University of Rome“La Sapienza”RomeItaly
  2. 2.Technical University of MilanMilanItaly
  3. 3.University of ColoradoBoulderUSA

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