Enhancing Underground Cave Stability Assessment through Physically-Based Machine Learning Methods

Nunzio Luciano Fazio; Francesca Sollecito; Piernicola Lollino; Vincenzo Fazio

doi:https://doi.org/10.5194/egusphere-egu25-20095

[Back] [Session NH3.16]

EGU25-20095, updated on 15 Mar 2025

https://doi.org/10.5194/egusphere-egu25-20095

EGU General Assembly 2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Enhancing Underground Cave Stability Assessment through Physically-Based Machine Learning Methods

Nunzio Luciano Fazio¹, Francesca Sollecito², Piernicola Lollino³, and Vincenzo Fazio⁴

Nunzio Luciano Fazio et al.

¹Geotechnical Engineer formerly CNR-IRPI, Bari, Via Amendola 122/i (nunziolucianofazio@hotmail.it)
²Geotechnical Engineer formerly Politecnico di Bari
³Department of Earth and Environmental Sciences, University of Bari Aldo Moro
⁴Department of Civil, Environmental, Land, Building Engineering and Chemistry, Polytechnic University of Bari

How to cite: Fazio, N. L., Sollecito, F., Lollino, P., and Fazio, V.: Enhancing Underground Cave Stability Assessment through Physically-Based Machine Learning Methods, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-20095, https://doi.org/10.5194/egusphere-egu25-20095, 2025.

This abstract has been withdrawn on 29 Apr 2025.