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