지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.3
- 수록면
- 34 - 44 (11page)
- DOI
- 10.33162/JAR.2021.3.21.1.34
이용수
초록· 키워드
오류제보하기
Purpose: This paper proposes a feature-based model to estimate lap joint crack.
Methods: First, the piezoelectric sensor data of the aluminum lap joint was subjected to signal processing to filter noise and extract the target area data. Second, three features were extracted from the filtered data. Moreover, a crack length estimation model was derived as a function of loading cycles for each feature. Finally, a crack length model as a function of loading cycles was proposed by combining the features. The performance of the proposed model is verified by comparing the result of the crack length estimation with that of the Paris-Erdogan model.
Results: The error of the proposed model against the measured values was between 0.03% and 1.8%, proving that the combined model outperforms the individual feature-based model. Additionally, the Paris-Erdogan model showed less accurate prediction than that of the proposed model.
Conclusion: This study confirms an excellent result by proposing a model with combined features for estimating the crack length of the lap joint.
Methods: First, the piezoelectric sensor data of the aluminum lap joint was subjected to signal processing to filter noise and extract the target area data. Second, three features were extracted from the filtered data. Moreover, a crack length estimation model was derived as a function of loading cycles for each feature. Finally, a crack length model as a function of loading cycles was proposed by combining the features. The performance of the proposed model is verified by comparing the result of the crack length estimation with that of the Paris-Erdogan model.
Results: The error of the proposed model against the measured values was between 0.03% and 1.8%, proving that the combined model outperforms the individual feature-based model. Additionally, the Paris-Erdogan model showed less accurate prediction than that of the proposed model.
Conclusion: This study confirms an excellent result by proposing a model with combined features for estimating the crack length of the lap joint.
목차
1. Introduction
2. Signal Processing
3. Crack Length Diagnostic and Prognostic Using Features
4. Comparison of the Results between the Proposed Model Equation and Paris-Erdogan Equation
5. Conclusion
References
참고문헌 (24)
참고문헌 신청
D. S. Kim / Ministry to advance safety probe, repair of boeing 737 NGs in korea / Korea Herald
K. H. Moon / 2015 / Disa- ster management of high-rise building using structural health monitoring systems / J. of KASS 15(1):22~29
V. Giurgiutiu / 2008 / Structural Health Monitoring with Piezo- electric Wafer Active Sensors / Academic Press
A. Raghaven / 2007 / Review of guidedwave structural health monitoring / J. of Shock Vib. Dig 39(2):91~114
V. Giurgiutiu / 2005 / Embedded NDE for structural health monitoring, damage detection, and failure prevention / J. of Shock Vib. Dig 38(2):83~105
K. H. Moon / 2015 / Disa- ster management of high-rise building using structural health monitoring systems / J. of KASS 15(1):22~29
V. Giurgiutiu / 2008 / Structural Health Monitoring with Piezo- electric Wafer Active Sensors / Academic Press
A. Raghaven / 2007 / Review of guidedwave structural health monitoring / J. of Shock Vib. Dig 39(2):91~114
V. Giurgiutiu / 2005 / Embedded NDE for structural health monitoring, damage detection, and failure prevention / J. of Shock Vib. Dig 38(2):83~105
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