Numerical Studies of Reinforced Concrete Beam Damage Detection Based on the Piezoelectric Impedance and Neural Network Technology

Abstract:

Aiming at the problem of reinforced concrete structure crack damage detection, an algorithm of crack damage monitoring based on the piezoelectric impedance technology was presented in this paper. With a piezoelectric coupling beam model was established, the electrical impedance equation of piezoelectric coupling beam was derived. The finite element model of reinforced concrete beam pasting with piezoelectric ceramic piece was established. The effect of different crack depth on the electrical impedance of coupling beam was analyzed. The results show that with the increase of crack depth, impedance peak decreases, spectrum shift to the left; neural network technology data processing method was used to the location identification of reinforced concrete beam crack depth. It proves that the piezoelectric impedance technology can successfully identify the degree of reinforced concrete beam damage to some extent.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 920-924
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.920
• Online since: November 2014
• Authors: Jun Zhang*, Jie Huang, Hong Mei Tang, Xian Hua Li, Xian Wen Zhao
• Keywords: Damage Detection, Finite Element, Neural Network, Piezoelectric Impedance

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