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《Building Science Research of Sichuan》 2004-01
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State-of-the-art on application of artificial neural networks in corroded reinforced concrete structural engineering

FAN Ying-fang,ZHOU Jing (School of Civil Engineering & Architecture,Dalian Univ.of Technol.,Dalian116024,China)  
Application of Artificial Neural Networks(ANNs)in civil engineering was introduced in this paper.The approach about using artificial neural networks in corroded R.C.structural engineering was discussed.Then,recent research results,which focus on the application of ANNs in the study of bond strength between rusty rebar and concrete and the ultimate strength of corroded R.C.beams,were reported.It is shown that ANNs has remarkable advantages than the conventional regression method in the field of solving the complex multi-factor nonlinear problems.With the development of this technology,ANNs is promising in the research on corroded R.C.structural engineering.
【CateGory Index】: TU375
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