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Application of generalized regression neural network method for corrosion modeling of steel embedded in soil

  • Published:2019-04 Issue:2 Volume:59 Page:474-483
  • ISSN:0038-0806
  • Container-title:Soils and Foundations
  • language:en
  • Short-container-title:Soils and Foundations

Author:

Ding Ling,Rangaraju Prasad,Poursaee Amir

Funder

Wisconsin Department of Transportation

Clemson University

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering

Reference50 articles.

1. Electrochemical frequency modulation and inductively coupled plasma atomic emission spectroscopy methods for monitoring corrosion rates and inhibition of low alloy steel corrosion in HCl solutions and a test for validity of the Tafel extrapolation method;Amin;Corros. Sci.,2009

2. ASTM. (2000). “D: 2974 Standard Test Methods for Moisture, Ash, and Organic Matter of Peat and Other Organic Soils”.

3. I-43 leo frigo memorial bridge investigation report - draft executive summary;Becker,2014

4. Phenomenological modelling of atmospheric corrosion using an artificial neural network;Cai;Corros. Sci.,1999

5. Neural network methods for corrosion data reduction;Cottis;Mater. Des.,1999
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