Steel Bars Identification in Reinforced Concrete Structures by Using ANN And Magnetic Fields

摘要：

This work proposes a methodology for non destructive testing (NDT) of reinforced concrete structures,using superficial magnetic fields and artificial neural networks,in order to identify the size and position of steel bars,embedded into the concrete. For the purposes of this paper,magnetic induction curves were obtained by using a finite element program. Perceptron Multilayered (PML) ANNs,with Levemberg-Marquardt training algorithm were used. The results presented very good agreement with the expect ones,encouraging the development of real systems based upon the proposed methodology.

作者: N.P.de Alcantara Jr. M.E.L.Gasparini

作者单位: S(a)o Paulo State University,Brazil

会议类型: 国际会议

会议名称: Progress in Electromagnetics Research Symposium 2005(2005年电磁学研究新进展学术研讨会)(PIERS 2005)

会议地点: 杭州

会议语种:英文

页码: 428-431

在线出版日期: 2005-08-22（万方平台首次上网日期，不代表论文的发表时间）