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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2024-11-23 18:22 |
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Conference: Bucharest University Faculty of Physics 2023 Meeting
Section: Solid State Physics and Materials Science, Optics, Spectroscopy, Plasma and Lasers
Title:
Laser Doppler Vibrometry Applications in Cultural Heritage
Authors:
Andreea-Maria Pătrașcu, Monica Dinu
Affiliation:
National Institute of Research and Development for Optoelectronics INOE 2000, 409 Atomiștilor street, Măgurele, Ilfov, România
E-mail
andreeamaria.patrascu@yahoo.com
Keywords:
LDV, built cultural heritage, non-destructive investigations
Abstract:
Laser Doppler vibrometer (LDV) is a non-destructive and non-contact technique based on recording the answer of materials to different sound waves in order to determine surface deformations, cracks, blisters, detachments and many other defects.[1] The current study reports developments of the method for volume monitoring of structural flaws present in mural paintings. Several tests were made on murals mock-ups with known defects, using different excitation signals: Burst Chirp, Burst Random, Periodic Chirp, Periodic Random, Sine, Square, Triangle, Sweep, Ramp and White Noise. The best results were obtained for the excitation signals Burst Chirp, Burst Random, Periodic Chirp and Periodic Random, that due to their waveform, have the highest power of penetration into the surface. Signals with a lower penetration level, Sine, Square, Triangle, Ramp and White Noise, couldn’t provide conclusive results, but the Sweep function worked. Base on the type of casuistic, relevant signals can obtained using different frequencies and functions of the LDV.
References:
[1] A. Tirado-Hernández, J. Becerra, R. Ortiz, P. Ortiz, et al., In situ study by XRF and LDV of mural paintings in Magdalena church (Seville, Spain), in Science and Digital Technology for Cultural Heritage - Interdisciplinary Approach to Diagnosis, Vulnerability, Risk Assessment and Graphic Information Models, 1st Edition, CRC Press, 2019, eBook ISBN: 9780429345470
Acknowledgement:
This research was funded by the Romanian Ministry of Research, Innovation and Digitalization, under Program 1 - Development of the National Research-Development System, Subprogram 1.2 - Institutional performance - Projects to finance the excellence in RDI, SUPECONEX grant nr. 18PFE/30.12.2021 and under PNCDI 2022-2027 - Core Programme 11N/03.01.2023, project nr. PN 23 05.
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