A structure can be defined complex if its behavior is influenced from nonlinearities, uncertainties and/or interactions. These aspects increase the complexity of the numerical model that one has to consider to reproduce the actual behavior of the structure. Therefore, many analyses must be developed to investigate particular aspects of the structural behavior of these kinds of structures and the time of analysis may be very expensive. The artificial intelligence theory provide a series of techniques (evolutive procedures, fuzzy theory, neural networks…) that can be used conveniently in order to improve the robustness of the analyses.

Artificial intelligence for the analysis and design of complex bridge structures

SGAMBI, LUCA
2005-01-01

Abstract

A structure can be defined complex if its behavior is influenced from nonlinearities, uncertainties and/or interactions. These aspects increase the complexity of the numerical model that one has to consider to reproduce the actual behavior of the structure. Therefore, many analyses must be developed to investigate particular aspects of the structural behavior of these kinds of structures and the time of analysis may be very expensive. The artificial intelligence theory provide a series of techniques (evolutive procedures, fuzzy theory, neural networks…) that can be used conveniently in order to improve the robustness of the analyses.
Proceedings of the 9th International Conference on Structural Safety & Reliability
9059660404
suspended bridge; artificial intelligence; soft computing; uncertainty
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/662018
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