scholarly journals Low-Power Computation Methods and Self-Powered Systems for Structural Health Monitoring Techniques using Lamb Waves for Embedded Sensing

2012 ◽  
Vol 19 (5) ◽  
pp. 867-877 ◽  
Author(s):  
M. Lallart ◽  
D. Guyomar
Keyword(s):  
Structural Health Monitoring ◽  
Low Power ◽  
Health Monitoring ◽  
Lamb Waves ◽  
Monitoring Techniques ◽  
Structural Health ◽  
Embedded Sensing ◽  
Self Powered

Thermo-Electromechanical Response of Polymer-Bonded Explosives for Structural Health Monitoring of Energetic Materials

2017 ◽  
Author(s):  
Samantha N. Rocker ◽  
T. Wade Pearrell ◽  
Engin C. Sengezer ◽  
Gary D. Seidel
Keyword(s):  
Dielectric Properties ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Energetic Materials ◽  
Thermal Loading ◽  
Binder Phase ◽  
Structural Health ◽  
Embedded Sensing ◽  
Polymer Bonded Explosives ◽  
Electrical And Dielectric Properties

Distributing a carbon nanotube sensing network throughout the binder phase of energetic composites is investigated in an effort for real time embedded sensing of localized heating in polymer bonded explosives (PBXs) through thermo-electromechanical response for in situ structural health monitoring (SHM) in energetic materials. The experimental effort herein is focused on using 70 wt% Ammonium Perchlorate (AP) (solid oxidizer used in solid rocket propellants) crystals embedded into epoxy binder having concentration of 0.1 wt% multi-walled carbon nanotubes (MWCNTs) relative to entire hybrid energetics. Electrical and dielectric properties of neat (i.e. no MWCNTs) energetics and MWCNT hybrid energetics are quantitatively and qualitatively evaluated under localized thermal loading. Electrical and dielectric properties showed variations for both neat energetics and MWCNT hybrid energetics depending on input frequency measurements. Significant thermo-electromechanical response was obtained for MWCNT AP hybrid energetics, providing a proof of concept for thermo-electromechanical sensing for realtime SHM in energetics.

The Delay Multiply and Sum Algorithm for Lamb Waves Based Structural Health Monitoring

2021 ◽  
pp. 657-666
Author(s):  
Michelangelo Maria Malatesta ◽  
Denis Bogomolov ◽  
Marco Messina ◽  
Dennis D’Ippolito ◽  
Nicola Testoni ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Lamb Waves ◽  
Structural Health

Use of delay and sum for sparse reconstruction improvement for structural health monitoring

2019 ◽  
Vol 30 (18-19) ◽  
pp. 2919-2931 ◽  
Author(s):  
Ali Nokhbatolfoghahai ◽  
Hossein M Navazi ◽  
Roger M Groves
Keyword(s):  
Structural Health Monitoring ◽  
Damage Detection ◽  
Health Monitoring ◽  
Guided Waves ◽  
Lamb Waves ◽  
Spot Size ◽  
Sparse Reconstruction ◽  
Reconstruction Method ◽  
Structural Health ◽  
Computational Performance

To perform active structural health monitoring, guided Lamb waves for damage detection have recently gained extensive attention. Many algorithms are used for damage detection with guided waves and among them, the delay-and-sum method is the most commonly used algorithm because of its robustness and simplicity. However, delay-and-sum images tend to have poor accuracy with a large spot size and a high noise floor, especially in the presence of multiple damages. To overcome these problems, another method that is based on sparse reconstruction can be used. Although the images produced by the sparse reconstruction method are superior to the conventional delay-and-sum method, it has the challenges of the time and cost of computations in comparison with the delay-and-sum method. Also, in some cases in multi-damage detection, the sparse reconstruction method totally fails. In this article, using prior support information of the structure achieved by the delay-and-sum method, a hybrid method based on sparse reconstruction method is proposed to improve the computational performance and robustness of sparse reconstruction method in the case of multi-damage presence. The effectiveness of the proposed method in detecting damages is demonstrated experimentally and numerically on a simple aluminum plate. The technique is also shown to accurately identify and localize multi-site damages as well as single damage with low sampled signals.

Sign in / Sign up

Export Citation Format

Share Document