EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 601 (2025) E3S Web Conf., 601 (2025) 00028 References
Open Access
Issue
E3S Web Conf.
Volume 601, 2025
The 3rd International Conference on Energy and Green Computing (ICEGC’2024)
Article Number 00028
Number of page(s) 10
DOI https://doi.org/10.1051/e3sconf/202560100028
Published online 16 January 2025
  1. C. Maierhofer, H.-W. Reinhardt, G. Dobmann, Non-destructive evaluation of reinforced concrete structures: Non-destructive testing methods (Elsevier, 2010). [Google Scholar]
  2. R. Katam, V. D. K. Pasupuleti, P. Kalapatapu, A review on structural health monitoring: past to present, Innov. Infrastruct. Solut. 8, 248 (2023). https://doi.org/10.1007/s41062-023-01217-3 [CrossRef] [Google Scholar]
  3. J. M. Lopez-Higuera, L. R. Cobo, A. Q. Incera, A. Cobo, Fiber optic sensors in structural health monitoring, J. Lightwave Technol. 29, 587–608 (2011). [CrossRef] [Google Scholar]
  4. H. Rocha, C. Semprimoschnig, J. P. Nunes, Sensors for process and structural health monitoring of aerospace composites: A review, Eng. Struct. 237, 112231 (2021). [CrossRef] [Google Scholar]
  5. P. M. Ferreira, M. A. Machado, M. S. Carvalho, C. Vidal, Embedded sensors for structural health monitoring: methodologies and applications review, Sensors 22, 8320 (2022). [CrossRef] [PubMed] [Google Scholar]
  6. T. Xie, C. Zhang, Z. Zhang, K. Yang, Utilizing active sensor nodes in smart environments for optimal communication coverage, IEEE Access 7, 11338–11348 (2018). [Google Scholar]
  7. Y. Wang, G. Attebury, B. Ramamurthy, A survey of security issues in wireless sensor networks, (2006) [Google Scholar]
  8. K. Maraiya, K. Kant, N. Gupta, Wireless Sensor Network: A Review on Data Aggregation, 2, 4 (2011). [Google Scholar]
  9. F. Wang, J. Liu, Networked wireless sensor data collection: issues, challenges, and approaches, IEEE Commun. Surv. Tutorials, 13, 673–687 (2010). [Google Scholar]
  10. M. A. Jamshed, K. Ali, Q. H. Abbasi, M. A. Imran, M. Ur-Rehman, Challenges, applications, and future of wireless sensors in Internet of Things: A review, IEEE Sens. J. 22, 5482–5494 (2022). [CrossRef] [Google Scholar]
  11. D. Xu, S. Banerjee, Y. Wang, S. Huang, X. Cheng, Temperature and loading effects of embedded smart piezoelectric sensor for health monitoring of concrete structures, Constr. Build. Mater. 76, p. 187–193 (2015). [CrossRef] [Google Scholar]
  12. M. Dumont, D. Wolf, Usage of MEMS Capacitive Acceleration Sensors for Structural Monitoring, in Dyn. Civil Struct. 2, S. Pakzad, Ed., (Conference Proceedings of the Society for Experimental Mechanics Series., Cham: Springer International Publishing, 2019), 77–89. https://doi.org/10.1007/978-3-319-74421-6_11 [Google Scholar]
  13. G. S. Abarca-Jiménez. M. A. Reyes-Barranca, S. Mendoza-Acevedo, J. E. Munguia-Cervantes, M. A. Alemán-Arce, Modal analysis of a structure used as a capacitive MEMS accelerometer sensor, in 2014 11th International Conference on Electrical Engineering, Computing Science and Automatique Control (CCE), IEEE, 1–4 (2014). [Google Scholar]
  14. S. Kavitha, R. J. Daniel, K. Sumangala, Design and analysis of MEMS comb drive capacitive accelerometer for SHM and seismic applications, Meas. 93, 327–339 (2016) [CrossRef] [Google Scholar]
  15. C. Dutta, J. Kumar, T. K. Das, S. P. Sagar, Recent advancements in the development of sensors for the structural health monitoring (SHM) at high-temperature environment: A review, IEEE Sens. J. 21, 15904–15916 (2021). [CrossRef] [Google Scholar]
  16. P. Pierleoni, R. Concetti, S. Marzorati, A. Belli, L. Palma, Internet of things for earthquake early warning systems: a performance comparison between communication protocols, IEEE Access (2023). [Google Scholar]
  17. M. Varanis, A. Silva, A. Mereles, R. Pederiva, MEMS accelerometers for mechanical vibrations analysis: a comprehensive review with applications, J. Braz. Soc. Mech. Sci. Eng. 40, 527 (2018). https://doi.org/10.1007/s40430-018-1445-5. [CrossRef] [Google Scholar]
  18. B. Glisic, Concise historic overview of strain sensors used in the monitoring of civil structures: The first one hundred years, Sensors 22, 2397 (2022). [CrossRef] [PubMed] [Google Scholar]
  19. Z. Liu, Y. Kleiner, State-of-the-art review of technologies for pipe structural health monitoring, IEEE Sens. J. 12, 1987–1992 (2012). [CrossRef] [Google Scholar]
  20. A. Kocherla, M. Duddi, K. V. Subramaniam, Smart embedded PZT sensor for in-situ elastic property and vibration measurements in concrete, Meas. 173, 108629 (2021). [CrossRef] [Google Scholar]
  21. J. Tejedor, J. Macias-Guarasa, H. F. Martins, J. Pastor-Graells, P. Corredera, S. Martin-Lopez, Machine learning methods for pipeline surveillance systems based on distributed acoustic sensing: A review, Appl. Sci. 7, 841 (2017). [CrossRef] [Google Scholar]
  22. D. Wang, H. Song, H. Zhu, Embedded 3D electromechanical impedance model for strength monitoring of concrete using a PZT transducer, Smart Mater. Struct. 23, 115019 (2014). [Google Scholar]
  23. L. Fan, Y. Bao, Review of fiber optic sensors for corrosion monitoring in reinforced concrete, Cem. Concr. Compos. 120, 104029. https://doi.org/10.1016/j.cemconcomp.2021.104029 [CrossRef] [Google Scholar]
  24. P. Rizzo, A. Enshaeian, Challenges in bridge health monitoring: A review, Sensors 21, 4336 (2021). [CrossRef] [PubMed] [Google Scholar]
  25. D. Xu, X. Xu, M. C. Forde, A. Caballero, Concrete and steel bridge Structural Health Monitoring—Insight into choices for machine learning applications, Constr. Build. Mater. 402, 132596 (2023). https://doi.org/10.1016/j.conbuildmat.2023.132596 [CrossRef] [Google Scholar]
  26. Z. Chen, X. Zhou, X. Wang, L. Dong, Y. Qian, Deployment of a Smart Structural Health Monitoring System for Long-Span Arch Bridges: A Review and a Case Study, Sensors 17(9), Art. n. 9 (2017). https://doi.org/10.3390/s17092151 [Google Scholar]
  27. H. Lima et al., Structural Health Monitoring of the Church of Santa Casa da Misericòrdia of Aveiro Using FBG Sensors. IEEE Sensors J. 8(7), 1236–1242 (2008). https://doi.org/10.1109/JSEN.2008.926177 [CrossRef] [Google Scholar]
  28. H. F. Lima, M. F. Domingues, R. N. Nogueira, P. André, J. L. Pinto, Dual scale structural health monitoring system combining FBG sensors and laser scanning, in 03A: Optics for Arts, Architecture, and Archaeology II, SPIE, 217–224 (2009) [Google Scholar]
  29. M. Fikri, S. Aryani, A. Pulungan, Feasibility Study Of Wireless Sensor Nodes On Bridges. Management Stud. Entrepreneurship J. 4(5), 7678–7692 (2023). [Google Scholar]
  30. P. Omenzetter, Quantification of SHM Benefits and Costs Using the Theory of Value of Information, in International Workshop on Civil Structural health Monitoring (pp. 17–28). Cham: Springer Nature Switzerland (2024). https://doi.org/10.1007/978-3-031-62253-3_2 [CrossRef] [Google Scholar]
  31. ISO 16587:2004; Mechanical Vibration and Shock—Performance Parameters for Condition Monitoring of Structures. ISO: Geneva, Switzerland (2004). [Google Scholar]
  32. G. Wang, J. Ke, Literature Review on the Structural Health Monitoring (SHM) of Sustainable Civil Infrastructure: An Analysis of Influencing Factors in the Implementation. Buildings 14(2), Art. no. 2 (2024). https://doi.org/10.3390/buildings14020402 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.