DOI QR코드

DOI QR Code

On site monitoring during nearby drilling operations toward a geothermal power system installation

  • Received : 2022.06.25
  • Accepted : 2022.07.15
  • Published : 2022.09.25

Abstract

Among the approaches to the production of "green" energy, geothermal power systems are becoming quite popular in Europe. Their installation in existing buildings requires an extended, external pipes appendix and its laying operation needs a drilling activities nearby structural skeletons often designed to support static loads only, especially when ancient buildings are targeted. This contribution reports and discusses the experimental results achieved within a specific case study within the European project GEOFIT. In particular, standard accelerometric measurements in and nearby a single-story reinforced concrete building are collected and analysed in the absence of drilling (pre-drilling) and during drilling activities (drilling phase) to monitor the structure response to the external source of vibrations related to the excavations phase. The target is to outline automatic guidelines toward installations preventing from any sort of structural damage.

Keywords

Acknowledgement

The activity reported in this paper has received funding from the European Union Horizon 2020 research and innovation program under grant agreement No. 792210 (Geofit).

References

  1. Barrile, V., Bilotta, G., Lamari, D., Meduri, GM, Monardi Trungadi, U. and Ricciardi, A. (2015), "Computer vision/structure for motion per la diffusione dei beni culturali", Proceedings of XIX Conferenza Nazionale ASITA, Lecco, Italy, pp. 51-60. [In Italian]
  2. Cao, Y., Miraba, S., Rafiei, S., Ghabussi, A., Bokaei, F., Baharom, S., Haramipour, P. and Assilzadeh, H. (2020), "Economic application of structural health monitoring and internet of things in efficiency of building information modeling", Smart Struct. Syst., Int. J., 26(5), 559-573. https://doi.org/10.12989/sss.2020.26.5.559
  3. Casciati, S. and Chen, Z. (2011), "A multi-channel wireless connection system for structural health monitoring applications", Struct. Control Health Monitor., 18(5), 588-600. https://doi.org/10.1002/stc.403
  4. Casciati, S., Faravelli, L. and Chen, Z. (2012), "Energy harvesting and power management of wireless sensors for structural control applications in civil engineering", Smart Struct. Syst., Int. J., 10(3), 299-312. https://doi.org/10.12989/sss.2012.10.3.299
  5. Casciati, F., Casciati, S. and Vece, M. (2018), "Validation range for KF data fusion devices", Acta Mechanica, 229(2), 707-717. https://doi.org/10.1007/s00707-017-1994-1
  6. Casciati, F., Casciati, S., Colnaghi, A. and Faravelli, L. (2019), "Geothermal Power: Monitoring the Building Response During Installation", Proceedings IWSHM, Stanford, CA, USA.
  7. Chen, Z.C., Casciati, S. and Faravelli, L. (2015), "In-situ validation of a wireless data acquisition system by monitoring a pedestrian bridge", Adv. Struct. Eng., 18(1), 97-106. https://doi.org/10.1260/1369-4332.18.1.97
  8. GEOFIT website, https://geofit-project.eu
  9. Ghiasi, R., Ghasemi, M.R. and Chan, T.H. (2021), "Optimum feature selection for SHM of benchmark structures using efficient AI mechanism", Smart Struct. Syst., Int. J., 27(4), 623-640. https://doi.org/10.12989/sss.2021.27.4.623
  10. Kaloop, M., Elsharawy, M., Salah, B., Hu, J. and Kim, D. (2020), "Performance assessment of bridges using short-period structural health monitoring system: Sungsu bridge case study", Smart Struct. Syst., Int. J., 26(5), 667-680. https://doi.org/10.12989/sss.2020.26.5.667
  11. KINEMETRICS, https://kinemetrics.com
  12. MATLAB, https://www.mathworks.com
  13. Ye, X.W., Jin, T. and Yun, C.B. (2019), "A review on deep learning-based structural health monitoring of civil infrastructures", Smart Struct. Syst., Int. J., 24(5), 567-585. https://doi.org/10.12989/sss.2019.24.5.567
  14. Zhang, Q., Sun, S., Yang, B., Wuchner, R., Pan, L. and Zhu, H. (2021), "Real-time structural health monitoring system based on streaming data", Smart Struct. Syst., Int. J., 28(2), 275-287. https://doi.org/10.12989/sss.2021.28.2.275