Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM 2024) |
| Publication status | Published - 1 Jul 2024 |
Abstract
Keywords
- composite materials, damage localization, guided waves, PCA, RAPID
ASJC Scopus subject areas
- Health Professions(all)
- Health Information Management
- Computer Science(all)
- Computer Science Applications
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM 2024). 2024.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - A weighted correction of RAPID for precise damage localization in composites using guided waves and principal component analysis
AU - Abbassi, Abderrahim
AU - Römgens, Niklas
AU - Dörpinghaus, Arved
AU - Lomazzi, Luca
AU - Grießmann, Tanja
AU - Rolfes, Raimund
N1 - Publisher Copyright: © 2024 11th European Workshop on Structural Health Monitoring, EWSHM 2024. All rights reserved.
PY - 2024/7/1
Y1 - 2024/7/1
N2 - Composite materials are widely used in various engineering applications such as aerospace, automotive, construction, and sports equipment due to their superior mechanical properties, including a high strength-to-weight ratio, design flexibility, and resistance to fatigue and corrosion. However, the complex nature of composite materials and their damage mechanisms poses a challenge to effective Structural Health Monitoring (SHM). Guided waves have been shown to be an effective non-destructive testing technique for localizing damage in Carbon Fiber Reinforced Polymer (CFRP) materials when used with the RAPID (Reconstruction Algorithm for Probabilistic Inspection of Damage) algorithm, which has high robustness and efficiency. However, in some cases, the RAPID algorithm may suffer from inaccuracies in predicting damage positions due to the intersection points among transducer paths. To address this issue, this paper proposes a correction to the original RAPID algorithm. The correction introduces weights to the probability of damage position, computed from the number of intersections that cross that position, to mitigate the impact of the intersection problem. Additionally, the Q-statistic, which is calculated through principal components analysis (PCA), is employed as a damage position indicator. To evaluate the effectiveness of the proposed correction, the measurement data from 12 transducers mounted on a 500 × 500 mm CFRP plate with a reversible damage model placed in different positions are used. The results of the proposed method are compared to the results of RAPID, a suggested geometrical correction of the RAPID algorithm. The findings demonstrate that the proposed correction provides an effective means to predict damage positions with greater accuracy than the original RAPID algorithm. Furthermore, the proposed correction does not compromise the computational simplicity of the RAPID algorithm, which is one of its key advantages.
AB - Composite materials are widely used in various engineering applications such as aerospace, automotive, construction, and sports equipment due to their superior mechanical properties, including a high strength-to-weight ratio, design flexibility, and resistance to fatigue and corrosion. However, the complex nature of composite materials and their damage mechanisms poses a challenge to effective Structural Health Monitoring (SHM). Guided waves have been shown to be an effective non-destructive testing technique for localizing damage in Carbon Fiber Reinforced Polymer (CFRP) materials when used with the RAPID (Reconstruction Algorithm for Probabilistic Inspection of Damage) algorithm, which has high robustness and efficiency. However, in some cases, the RAPID algorithm may suffer from inaccuracies in predicting damage positions due to the intersection points among transducer paths. To address this issue, this paper proposes a correction to the original RAPID algorithm. The correction introduces weights to the probability of damage position, computed from the number of intersections that cross that position, to mitigate the impact of the intersection problem. Additionally, the Q-statistic, which is calculated through principal components analysis (PCA), is employed as a damage position indicator. To evaluate the effectiveness of the proposed correction, the measurement data from 12 transducers mounted on a 500 × 500 mm CFRP plate with a reversible damage model placed in different positions are used. The results of the proposed method are compared to the results of RAPID, a suggested geometrical correction of the RAPID algorithm. The findings demonstrate that the proposed correction provides an effective means to predict damage positions with greater accuracy than the original RAPID algorithm. Furthermore, the proposed correction does not compromise the computational simplicity of the RAPID algorithm, which is one of its key advantages.
KW - composite materials
KW - damage localization
KW - guided waves
KW - PCA
KW - RAPID
UR - http://www.scopus.com/inward/record.url?scp=85202515041&partnerID=8YFLogxK
U2 - 10.58286/29828
DO - 10.58286/29828
M3 - Conference contribution
BT - Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM 2024)
ER -