Evaluating rebar corrosion damage in RC structures exposed to marine environment using neural network

ISSN： 1028-6608

Source： Civil Engineering and Environmental Systems, Vol.24, Iss.1, 2007-03, pp. : 15-32

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

DAMAGE IDENTIFICATION AND ASSESSMENT IN RC STRUCTURES USING VIBRATION DATA: A REVIEW

By Fayyadh Moatasem Mohammed Razak Hashim Abdul

Journal of Civil Engineering and Management, Vol. 19, Iss. 3, 2013-06 ,pp. : 375-386

Taylor & Francis Ltd

Access to resources Recommend Favorite

Using neural network techniques to predict crack growth rates of stress corrosion

By Lu Pai-Chuan

International Journal of Materials and Product Technology, Vol. 12, Iss. 4-6, 1997-11 ,pp. : 329-345

Inderscience Publishers

Access to resources Recommend Favorite

Predicting the shear resistance of RC beams without shear reinforcement using a Bayesian neural network

By Iruansi Osimen

International Journal of Reliability and Safety, Vol. 6, Iss. 1-2, 2012-12 ,pp. : 82-109

Inderscience Publishers

Access to resources Recommend Favorite

Neural-network-based damage classification of bridge infrastructure using texture analysis

By Rivard Patrice Ballivy Gérard Kabir Shahid

Canadian Journal of Civil Engineering, Vol. 35, Iss. 3, 2008-03 ,pp. : 258-267

NRC Research Press

Access to resources Recommend Favorite

Stochastic evaluation of the damage length in RC beams submitted to corrosion of reinforcing steel

By Sudret B.

Civil Engineering and Environmental Systems, Vol. 24, Iss. 2, 2007-06 ,pp. : 165-178

Taylor & Francis Ltd

Access to resources Recommend Favorite