In this paper, several static and deformability parameters of a long suspension bridge are investigated using a genetic algorithm based approach. For each parameter, a genetic algorithm sets the worst loads combination considering both vertical and longitudinal loads. Ten thousand of different loads combinations are considered for each genetic analysis. In this way is also possible to investigate the global deformability of the bridge, using envelope diagrams consequent from the analyses. The power of modern workstations and the possibility of develop the analyses in an automatic way make effective and efficient this kind of analysis, increasing notably the reliability of the results that must support the performance based design of complex structures. © 2005 Civil-Comp Press.

A genetic algorithm approach for performance evaluation of long span suspension bridges / Sgambi, L; Bontempi, Franco. - (2005). (Intervento presentato al convegno The Tenth International Conference on Civil, Structural and Environmental Engineering Computing tenutosi a Rome; Italy nel 30 August - 2 September 2005,).

A genetic algorithm approach for performance evaluation of long span suspension bridges

BONTEMPI, Franco
2005

Abstract

In this paper, several static and deformability parameters of a long suspension bridge are investigated using a genetic algorithm based approach. For each parameter, a genetic algorithm sets the worst loads combination considering both vertical and longitudinal loads. Ten thousand of different loads combinations are considered for each genetic analysis. In this way is also possible to investigate the global deformability of the bridge, using envelope diagrams consequent from the analyses. The power of modern workstations and the possibility of develop the analyses in an automatic way make effective and efficient this kind of analysis, increasing notably the reliability of the results that must support the performance based design of complex structures. © 2005 Civil-Comp Press.
2005
The Tenth International Conference on Civil, Structural and Environmental Engineering Computing
Genetic algorithm; Performances; Reliability
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
A genetic algorithm approach for performance evaluation of long span suspension bridges / Sgambi, L; Bontempi, Franco. - (2005). (Intervento presentato al convegno The Tenth International Conference on Civil, Structural and Environmental Engineering Computing tenutosi a Rome; Italy nel 30 August - 2 September 2005,).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/204498
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