Paper Title:
Applications of Artificial Neural Networks in Bridge Engineering
  Abstract

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, 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
$32.00
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