PSI - Issue 64

698 6

Mahyad Komary/ Structural Integrity Procedia 00 (2019) 000 – 000

M. Komary et al. / Procedia Structural Integrity 64 (2024) 693–699

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Fig. 7. Acceleration Time Diagram without White Noise.

5. Conclusion For the static experiments, the results indicate that although the laser sensor did not perform as well as the ultrasonic sensor, it still has significant advantages. The laser sensor is relatively smaller, lighter, and faster, and it features noise-free technology, meaning no noise can enter from the wires. Additionally, it operates independently of the temperature of its testing environment. Optimal results would be achieved by using an ultrasonic sensor (attached to a temperature and humidity sensor) alongside a laser sensor. This combination can cover the downsides of each sensor and provide a comprehensive and accurate set of data. For the dynamic experiments, Figure 7 shows that the sinus wave conducted from the accelerometer closely matches the expected behavior. The sinus wave fluctuates about 10.5 milig from its average, which is remarkably close to the calculated fluctuation of 10.453 milig. This similarity demonstrates the accuracy and reliability of the accelerometer for dynamic monitoring. However, the filtered data from the 5Hz experiment, also shown in Figure 7, indicates that the results are not entirely accurate due to the presence of unexpected data and noise. Future work should focus on applying filters to eliminate unwanted data and ambient noises that may have inadvertently affected the experiment. Acknowledgements The authors are indebted to the projects PID2021-126405OB-C31 and PID2021-126405OB-C32 funded by FEDER funds — A Way to Make Europe and Spanish Ministry of Economy, Competitiveness MICIN/AEI/10.13039/501100011033/ and the European Union “NextGenerationEU”/PRTR . Project references: PID2019-108978RB-C32, PID2021-126405OB-C31, PID2021-126405OB-C32 and PLEC2021-007982. References [1] M. Komary, S. Komarizadehasl, N. Tošić, I. Segura, J. A. Lozano -Galant, and J. Turmo , ‘Low -Cost Technologies Used in Corrosion Monitoring’, Sensors , vol. 23, no. 3, p. 1309, Jan. 2023, doi: 10.3390/s23031309. [2] Y. Qiao, Z. Wang, K. Popova, and T. Prošek, ‘Corrosion Monitoring in Atmospheric Conditions: A Review’, Metals 2022, Vol. 12, Page 171 , vol. 12, no. 2, p. 171, Jan. 2022, doi: 10.3390/MET12020171. [3] S. Komarizadehasl, F. Lozano Galant, M. Komary, J. A. Lozano Galant, and J. Turmo Coderque, ‘Resolution improvement of low - cost MEMS accelerometer by aligning simulations sensors’, IABSE Symposium Prague 2022 Report: Challenges for Existing and Oncoming Structures , pp. 1 – 6, 2022.