Inversion Analysis Model of Internal 3D Defects of Reinforced Concrete Structures Based on Appearance Inspection

Many inversion analysis models, which can identify the size and location of internal defects of structures, have been established in recent years. However, complex crack distribution cannot be obtained effectively with these models. In this paper, with the dynamic extended finite element method and particle swarm optimization algorithm, a new inversion analysis model for iterative calculation of multiple 3D defects’ parameters in reinforced concrete structures is established. In this model, appearance inspection data are applied to reduce the inversion parameters. Then, the proposed model is numerical realized by multisoftware simulation and verified through a static and dynamic experimental response from a cracked reinforced concrete beam. The results show that multiple cracks can be identified accurately based on the model. The more measured data (displacement, velocity, acceleration, etc.) are involved, the inversion results are closer to the measured values. It is noticed that the data involved in inversion analysis of concrete structures should be obtained through the dynamic test method. The application of the same number of static data greatly reduce the accuracy of inversion. This model provides a new method for the nondestructive damage identification of reinforced concrete structures, which improves accuracy of multiple 3D defects’ parameters.