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- 01HS0Q6KEH0K4WN0VHFT652RXS classification C3.
- 01HS0Q6KEH0K4WN0VHFT652RXS date "2023".
- 01HS0Q6KEH0K4WN0VHFT652RXS language "eng".
- 01HS0Q6KEH0K4WN0VHFT652RXS type conference.
- 01HS0Q6KEH0K4WN0VHFT652RXS hasPart 01HS0QEK69BH0H634HHC2F7TP9.pdf.
- 01HS0Q6KEH0K4WN0VHFT652RXS subject "Technology and Engineering".
- 01HS0Q6KEH0K4WN0VHFT652RXS presentedAt urn:uuid:497aa8a0-45a2-4a9c-a49b-89ea927cce1c.
- 01HS0Q6KEH0K4WN0VHFT652RXS abstract "Composite materials are increasingly used for structural applications in automotive, aerospace and other modern industrial sectors. Yet, these composites are quite susceptible to damages and defects which can be introduced during either the manufacturing cycle or its operational lifetime. As a result, composites have to be thoroughly inspected to guarantee their safe operation and structural integrity. Guided wave imaging (GWI) gained a lot of interest as it can interrogate large areas within a short time period using a limited number of sensors. For instance, a sparse sensor array can be deployed over an aircraft composite wing panel as illustrated in Figure 1. The vibrational response signal of each pair in the sensor network changes in the presence of damage. Hence, by comparing the healthy baseline signals with the changed vibrational signals, one can construct a damage map and subsequently estimate the structural integrity of the composite. Well-known GWI implementations include the Reconstruction Algorithm for Probabilistic Inspection of Damage (RAPID) method and the Delay and Sum (DAS) method. However, changing operational and environmental conditions will introduce significant uncertainties in the collection of the baseline signals. Further, if small manufacturing defects have been introduced in the part, the baseline signals are unreliable and will lead to a wrong prediction of the structure’s status. In this study, contact acoustic nonlinearity is investigated in order to achieve a baseline-free GWI modality. As such, the conventional GWI algorithms, i.e., RAPID and DAS, are extended to their corresponding nonlinear versions, called NL-RAPID and NL-DAS. The nonlinear extensions do not require any baseline data from a healthy specimen, making them very robust to changes in environmental conditions. The proposed nonlinear methods are first demonstrated on a synthetic dataset generated by a finite element model. Figure 2 compares the performance of the classic baseline-dependent RAPID with the proposed NL-RAPID imaging for the synthetic dataset. Various operational and experimental factors are studied in order to assess the performance of the proposed baseline-free nonlinear imaging methods. Finally, the proposed damage map reconstruction procedures are applied to various composite components with industrial complexity.".
- 01HS0Q6KEH0K4WN0VHFT652RXS author 199EDBAE-F0EE-11E1-A9DE-61C894A0A6B4.
- 01HS0Q6KEH0K4WN0VHFT652RXS author 1EF7934A-6D3F-11E5-9F78-C3E0B4D1D7B1.
- 01HS0Q6KEH0K4WN0VHFT652RXS author d84096a2-f638-11eb-9a57-ea8d9b9c692e.
- 01HS0Q6KEH0K4WN0VHFT652RXS author urn:uuid:ac73e60d-5455-48b9-8512-09568e9176e2.
- 01HS0Q6KEH0K4WN0VHFT652RXS dateCreated "2024-03-15T09:30:59Z".
- 01HS0Q6KEH0K4WN0VHFT652RXS dateModified "2024-11-28T00:13:58Z".
- 01HS0Q6KEH0K4WN0VHFT652RXS name "Probabilistic damage imaging in composites using sparse sensor network and contact acoustic nonlinearity".
- 01HS0Q6KEH0K4WN0VHFT652RXS pagination urn:uuid:bad217ab-fcd8-43c4-a1f5-6b731d4a39a4.
- 01HS0Q6KEH0K4WN0VHFT652RXS sameAs LU-01HS0Q6KEH0K4WN0VHFT652RXS.
- 01HS0Q6KEH0K4WN0VHFT652RXS sourceOrganization urn:uuid:3344b084-86dd-4c60-afdd-ae8ab93a24b4.
- 01HS0Q6KEH0K4WN0VHFT652RXS type C3.