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

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Probabilistic Safety Assessment and Management

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.

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References

  1. 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.

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Author information

Authors and Affiliations

  1. University of Rome“La Sapienza”, Rome, Italy

    Luca Sgambi & Franco Bontempi

  2. Technical University of Milan, Milan, Italy

    Fabio Biondini

  3. University of Colorado, Boulder, USA

    Dan M. Frangopol

Authors
  1. Luca Sgambi
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  2. Franco Bontempi
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  3. Fabio Biondini
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  4. Dan M. Frangopol
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Editor information

Editors and Affiliations

  1. TÜV Süddeutschland, Dudenstrasse 28, D-68167, Mannheim, Germany

    Cornelia Spitzer Dipl.-Math.

  2. Swiss Federal Nuclear Safety Inspectorate (HSK), CH-5232, Villigen-HSK, Switzerland

    Ulrich Schmocker PhD

  3. Paul Scherrer Institut (PSI), CH-5232, Villigen PSI, Switzerland

    Vinh N. Dang PhD

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© 2004 Springer-Verlag London

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Sgambi, L., Bontempi, F., Biondini, F., Frangopol, D.M. (2004). Handling Uncertainties in Optimal Design of Suspension Bridges with Special Emphasis on Loads. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_35

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  • DOI: https://doi.org/10.1007/978-0-85729-410-4_35

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1057-6

  • Online ISBN: 978-0-85729-410-4

  • eBook Packages: Springer Book Archive

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