Applications of Artificial Neural Networks in Bridge Engineering

Abstract:

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Artificial neural networks (ANNs) have been widely applied to many bridge engineering problems and have demonstrated some degree of success. A review of the literature reveals that ANNs have been used successfully in member capacity prediction, reliability analysis, optimal design of structural systems, fatigue life prediction, construction control, material constitutive model , slope stability, bridge health monitoring. The objective of this paper is to provide a general view of some ANNs applications for solving some types of bridge engineering problems. A brief introduction to ANNs is given. Problems such as what is a neural network, how it works and what kind of advantages it has are discussed. After this, several applications in bridge engineering are presented.

Info:

Periodical:

Advanced Materials Research (Volumes 243-249)

Edited by:

Chaohe Chen, Yong Huang and Guangfan Li

Pages:

1984-1987

DOI:

10.4028/www.scientific.net/AMR.243-249.1984

Citation:

X. Wei and J. Li, "Applications of Artificial Neural Networks in Bridge Engineering", Advanced Materials Research, Vols. 243-249, pp. 1984-1987, 2011

Online since:

May 2011

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Price:

$35.00

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