Estimating Pier Scour with Artificial Neural Networks

by Roy Trent, Federal Highway Administration, McLean, United States,
Nicolas Gagarin, Federal Highway Administration, McLean, United States,
Jennifer Rhodes, Federal Highway Administration, McLean, United States,



Document Type: Proceeding Paper

Part of: Hydraulic Engineering

Abstract:

This paper describes the use of artificial neural network (ANN) analysis as a computing device for estimating scour at bridge piers. The neural network presented here is based on 515 sets of field data assembled in a recent report (Gao, 1992). The performance of the ANN is compared with the Chinese equations for live bed and clear water pier scour presented in that report and elsewhere in these Proceedings in an article by Carl Nordin.



Subject Headings: Computer analysis | Computer models | Neural networks | River and stream beds | Water management | Bridge tests | Computer aided operations | Computer networks

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