Artificial neural network study of observed pattern of scour depth around bridge piers

Author:

Kaya Abidin

Publisher

Elsevier BV

Subject

Computer Science Applications,Geotechnical Engineering and Engineering Geology

Reference16 articles.

1. Richardson EV, Davis SR. Evaluating scour at bridges. Rep. No. FHWA-IP-90-017 (HEC 18), Federal Highway Administration, Washington, DC, 1995.

2. Landers MN, Mueller DS. Channel scour at bridges in the United States. Rep. No. FHWA-RD-95-184, Federal Highway Administration, Washington, DC, 1996.

3. SRICOS: prediction of scour rate in cohesive soils at bridge piers;Briaud;J Geotech Geoenviron Eng ASCE,1999

4. Mueller DS, Wagner CR. Field observations and evaluations of streambed scour at bridges. FHWA-RD-03-052, 2005.

5. Neural network and neuro-fuzzy assessment for scour depth around bridge piers;Bateni;Eng Appl Artif Intell,2007

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