Determination of Detection Probability and Localization Accuracy for a Guided Wave-Based Structural Health Monitoring System on a Composite Structure

Abstract

The capabilities of detection and localization of damage in a structure, using a guided wave-based structural health monitoring (GWSHM) system, depend on the damage location and the chosen sensor array setup. This paper presents a novel approach to assess the reliability of an SHM system enabling to quantify localization accuracy. A two-step technique is developed to combine multiple paths to generate one probability of detection (POD) curve that provides information regarding the detection capability of an SHM system at a defined damage position. Moreover, a new method is presented to analyze localization accuracy. Established probability-based diagnostic imaging using a signal correlation algorithm is used to determine the damage location. The resultant output of the localization accuracy analysis is the smallest damage size at which a defined accuracy level can be reached at a determined location. The proposed methods for determination of detection probability and localization accuracy are applied to a plate-like CFRP structure with an omega stringer with artificial damage of different sizes at different locations. The results show that the location of the damage influences the sensitivity of detection and localization accuracy for the used detection and localization methods. Localization accuracy is enhanced as it becomes closer to the array’s center, but its detection sensitivity deteriorates.

Correlation of Load-Bearing Behavior of Reinforced Concrete Members and Velocity Changes of Coda Waves

“…Towards the bottom, it is limited by transition to the range of cracking (> 1.3 • σ I I sr ). From compatibility to the ranges and , the average steel strain in the range of cracking is deduced which yields Equation (5).…”

“…This is where structural health monitoring comes into play. Research streams in in this field are copious (e.g., [2][3][4][5]). Available options to technically equip structures are plentiful (fiber optic sensors (FOS), acoustic emission, strain gauges, displacement transducers, etc.).…”

Performance Assessment for a Guided Wave-Based SHM System Applied to a Stiffened Composite Structure

“…Actually, this aspect reflects the diagnosis paradigm of SHM, which aims to detect, localize and assess the size of a damage. Increasing the level of inspection makes the reliability assessment even harder, and totally new perspectives are needed, as shown by Bayoumi et al [ 23 ] and Moriot et al [ 24 ]. In addition, as the artificial intelligence (AI) algorithms raise interest among the SHM community, another aspect to be considered is the reliability assessment trough the AI approach itself [ 25 ].…”