Structural Health Monitoring-an International Journal, 2019
Structural health monitoring (SHM) consists in embedding sensors in a structure like aircraft fus... more Structural health monitoring (SHM) consists in embedding sensors in a structure like aircraft fuselages, pipes or ship hulls in order to detect defects (for example cracks or corrosion in metallic materials or delamination in composite materials) before a serious fault occurs in the structure. Guided elastic waves emitted by a sensor and propagating to another one are often used as the physical way of detecting the defect. However, the implementation of SHM systems is restricted in many situations by the necessity to store or to harvest the electric energy necessary to emit the waves and also by the intrusiveness of the sensors. Guided wave tomography imaging is able to localize and quantify the severity of the defect when it comes to loss of thickness such as corrosion or erosion. However, it needs many sensors (generally piezoelectric - PZT - transducers) and it has a cost, particularly in terms of intrusiveness. The idea in this paper is to use less intrusive sensors such as fibe...
Structural Health Monitoring-an International Journal, 2019
Corrosion presents a major challenge for various industries, especially for petrochemical and nuc... more Corrosion presents a major challenge for various industries, especially for petrochemical and nuclear industry. Estimating accurate wall thickness maps of pipes or pressure vessels is of great importance for detecting corrosion damage in these structures and assessing its remaining lifetime. Guided wave tomography provides a solution for this problem in which pipe-like structures have a high diameter to thickness ratio, by sending guided waves through the region of interest, then using tomographic imaging [1, 2] to reconstruct the thickness map, significantly eliminating the need to take measurements at all points across the surface. The Structural Health Monitoring (SHM) process involves the observation of a structure over time by using measurements from sensors embedded in this structure in order to monitor its current state of health and hence taking at the right time corrective action to prevent further rupture or leakage. It is essential to use a small number of sensors to limi...
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, 2021
In guided wave structural health monitoring (GW-SHM), a strong need for reliable and fast simulat... more In guided wave structural health monitoring (GW-SHM), a strong need for reliable and fast simulation tools has been expressed throughout the literature to optimize SHM systems or demonstrate performance. Even though guided wave simulations can be conducted with most finite elements software packages, computational and hardware costs are always prohibitive for large simulation campaigns. A novel SHM module has been recently added to the civa software and relies on unassembled high-order finite elements to overcome these limitations. This article focuses on the thorough validation of civa for SHM to identify the limits of the models. After introducing the key elements of the civa SHM solution, a first validation is presented on a stainless steel pipe representative of the oil and gas industry. Second, validation is conducted on a composite panel with and without stiffener representative of some structures in the aerospace industry. Results show a good match between the experimental an...
Structural Health Monitoring-an International Journal, 2019
Structural health monitoring (SHM) consists in embedding sensors in a structure like aircraft fus... more Structural health monitoring (SHM) consists in embedding sensors in a structure like aircraft fuselages, pipes or ship hulls in order to detect defects (for example cracks or corrosion in metallic materials or delamination in composite materials) before a serious fault occurs in the structure. Guided elastic waves emitted by a sensor and propagating to another one are often used as the physical way of detecting the defect. However, the implementation of SHM systems is restricted in many situations by the necessity to store or to harvest the electric energy necessary to emit the waves and also by the intrusiveness of the sensors. Guided wave tomography imaging is able to localize and quantify the severity of the defect when it comes to loss of thickness such as corrosion or erosion. However, it needs many sensors (generally piezoelectric - PZT - transducers) and it has a cost, particularly in terms of intrusiveness. The idea in this paper is to use less intrusive sensors such as fibe...
Structural Health Monitoring-an International Journal, 2019
Corrosion presents a major challenge for various industries, especially for petrochemical and nuc... more Corrosion presents a major challenge for various industries, especially for petrochemical and nuclear industry. Estimating accurate wall thickness maps of pipes or pressure vessels is of great importance for detecting corrosion damage in these structures and assessing its remaining lifetime. Guided wave tomography provides a solution for this problem in which pipe-like structures have a high diameter to thickness ratio, by sending guided waves through the region of interest, then using tomographic imaging [1, 2] to reconstruct the thickness map, significantly eliminating the need to take measurements at all points across the surface. The Structural Health Monitoring (SHM) process involves the observation of a structure over time by using measurements from sensors embedded in this structure in order to monitor its current state of health and hence taking at the right time corrective action to prevent further rupture or leakage. It is essential to use a small number of sensors to limi...
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, 2021
In guided wave structural health monitoring (GW-SHM), a strong need for reliable and fast simulat... more In guided wave structural health monitoring (GW-SHM), a strong need for reliable and fast simulation tools has been expressed throughout the literature to optimize SHM systems or demonstrate performance. Even though guided wave simulations can be conducted with most finite elements software packages, computational and hardware costs are always prohibitive for large simulation campaigns. A novel SHM module has been recently added to the civa software and relies on unassembled high-order finite elements to overcome these limitations. This article focuses on the thorough validation of civa for SHM to identify the limits of the models. After introducing the key elements of the civa SHM solution, a first validation is presented on a stainless steel pipe representative of the oil and gas industry. Second, validation is conducted on a composite panel with and without stiffener representative of some structures in the aerospace industry. Results show a good match between the experimental an...
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