腐蚀                        
                
                                
                        
                            材料科学                        
                
                                
                        
                            碳钢                        
                
                                
                        
                            无损检测                        
                
                                
                        
                            磁滞                        
                
                                
                        
                            磁滞                        
                
                                
                        
                            微动                        
                
                                
                        
                            矫顽力                        
                
                                
                        
                            复合材料                        
                
                                
                        
                            冶金                        
                
                                
                        
                            结构工程                        
                
                                
                        
                            磁化                        
                
                                
                        
                            磁场                        
                
                                
                        
                            工程类                        
                
                                
                        
                            物理                        
                
                                
                        
                            量子力学                        
                
                                
                        
                            凝聚态物理                        
                
                        
                    
            作者
            
                Aldecira Gadelha Diógenes,Elineudo Pinho de Moura,André da Silveira Machado,Lindberg Lima Gonçalves            
         
                    
        
    
            
            标识
            
                                    DOI:10.1080/10589759.2021.2021403
                                    
                                
                                 
         
        
                
            摘要
            
            Reinforced concrete structures undergo various degradation processes, mainly rebars corrosion. Recently, magnetic non-destructive tests have been used to study the steel components used in concrete structures. This paper proposes a non-destructive method, based on the electromagnetic induction technique, capable of identifying corrosion in steel bars. Therefore, through signals obtained from sinusoidal and triangular waveform excitations, magnetic hysteresis loops were determined in steel bars of 5.0, 6.3, 8.0, 10.0, 12.5 and 16.0 mm diameters at 0, 10 and 20 mm depths. Magnetic tests were performed in uncorroded steel bars and in bars that have been exposed to corrosion by the salt spray test. The magnetic responses, remanence, coercivity and the maximum values of hysteresis curves obtained were organised into classes for uncorroded and corroded bars of each steel diameter, totalling 12 classes. A statistical analysis of the experimental results has been performed, and a detailed analysis of the data has also been performed by using the pattern classification techniques, namely, principal component analysis, Karhunen–Loéve transformation, Gaussian classifier and artificial neural network. The results show that the investigated method has great potential of becoming an electromagnetic non-destructive technique for the identification of corroded steel bars in concrete structures.
         
            
 
                 
                
                    
                    科研通智能强力驱动
Strongly Powered by AbleSci AI