On Transducers Localization in Damage Detection by Wave Propagation Method

Abstract

In this paper, the elastic wave propagation method was used in damage detection in thin structures. The effectiveness and accuracy of the system based on the wave propagation phenomenon depend on the number and localization of the sensors. The utilization of the piezoelectric (PZT) transducers makes possible to build a low-cost damage detection system that can be used in structural health monitoring (SHM) of the metallic and composite structures. The different number and localization of transducers were considered in the numerical and experimental analysis of the wave propagation phenomenon. The relation of the sensors configuration and the damage detection capability was demonstrated. The main assumptions and requirements of SHM systems of different levels were discussed with reference to the damage detection expectations. The importance of the damage detection system constituents (sensors number, localization, or damage index) in different levels of analysis was verified and discussed to emphasize that in many practical applications introducing complicated procedures and sophisticated data processing techniques does not lead to improving the damage detection efficiency. Finally, the necessity of the appropriate formulation of SHM system requirements and expectations was underlined to improve the effectiveness of the detection methods in particular levels of analysis and thus to improve the safety of the monitored structures.

Integrative approach for transducer positioning optimization for ultrasonic structural health monitoring for the detection of deterministic and probabilistic damage location

“…Equation (15) reads, given N number of sensors, determine the coordinate (x i , y j ) of each actuator N that maximizes the network fitness score t. Theoretically, the maximum value is the total amount of pixels without (N + B) as per equation (13). For example, a plate with a size of 120 3 80 cm and 2 mounted sensors and 3 rivet holes would have a theoretical maximum score of 9600 2 (2 + 3) = 9595, or 99.9479 if it is normalized using equation (14). The physical interpretation of equation ( 15) means that at the maximum network score, a minimum attenuation is reached.…”

“…A similar approach was realized in an experimental setup by Stawiarski and Muc. 14 However, instead of the energy, they calculated the damage index (DI) based on the correlation coefficient (CC) between the baseline signal and the signal from the defected structure. Fendzi et al 15 proposed a novel approach for sensor placement using geometric dilution of precision (GDOP), which is based on a Lamb wave ray tracing method for known damage locations.…”

Damage indices evaluation for one-dimensional guided wave-based structural health monitoring

“…Numerous DIs were proposed by using the wave propagation in timedomain. The root mean square deviation (RMSD) or also called Euclidean norm (Giurgiutiu and Rogers, 1998;Park et al, 2006;Su and Ye, 2009;DeLuca et al, 2020), the mean absolute percentage deviation (MAPD) (Tseng and Naidu, 2002), covariance (COV) (Monaco et al, 2000;Tseng and Naidu, 2002), and the correlation coefficient deviation (CCD) (Tung and Yen, 2005;Giurgiutiu, 2014;Stawiarski and Muc, 2019) are the most used DIs.…”

The Influence of the Grid Density of Measurement Points on Damage Detection in an Isotropic Plate by the Use of Elastic Waves and Laser Scanning Doppler Vibrometry

“…In recent years, various methods of the monitoring of engineering structures have been developed. A system that involves observation of the condition of a structure by means of control and measurement in order to detect, locate, identify and predict the development of deformation and damage, which may cause the structure to fail, is called SHM (Structural Health Monitoring) [1,2]. SHM is based on sensing to monitor the behaviour of structures, assess their performance, and identify damage at its early stage [3][4][5][6][7][8].…”