TY - GEN
T1 - Flow dynamics in rock masses
T2 - 3D modelling for engineering problems management and resource safeguarding
AU - Coli, Massimo
AU - Rizzo, Roberto E.
AU - Risaliti, Giacomo
AU - Liso, Isabella Serena
N1 - Publisher Copyright:
© 2024 The Author(s).
PY - 2024/9/17
Y1 - 2024/9/17
N2 - This study investigates the role of complex networks of discontinuities (bedding, joints, fracture, and faults) for fluid flow dynamics within carbonate rock masses. Understanding and modelling how discontinuities interconnect and interact is crucial for resource management industries (e.g., geothermal energy and carbon capture), as well as for managing problem of water inflow during tunnelling. Our methodology integrates fieldwork studies with remote sensing techniques, including ground and drone-based photogrammetry, to build accurate models of discontinuity networks. We present how using machine and deep learning algorithms for semantic segmentation improves the identification of discontinuities in photogrammetric data and minimises biases induced by manual identification. This approach provides fast and reliable tools, essential in resource management and tunnelling operations. By merging theoretical insights with practical applications, we provide a comprehensive framework for understanding and modelling rock mass flow dynamics, vital for both management of engineering works and sustainable resource use.
AB - This study investigates the role of complex networks of discontinuities (bedding, joints, fracture, and faults) for fluid flow dynamics within carbonate rock masses. Understanding and modelling how discontinuities interconnect and interact is crucial for resource management industries (e.g., geothermal energy and carbon capture), as well as for managing problem of water inflow during tunnelling. Our methodology integrates fieldwork studies with remote sensing techniques, including ground and drone-based photogrammetry, to build accurate models of discontinuity networks. We present how using machine and deep learning algorithms for semantic segmentation improves the identification of discontinuities in photogrammetric data and minimises biases induced by manual identification. This approach provides fast and reliable tools, essential in resource management and tunnelling operations. By merging theoretical insights with practical applications, we provide a comprehensive framework for understanding and modelling rock mass flow dynamics, vital for both management of engineering works and sustainable resource use.
UR - http://www.scopus.com/inward/record.url?scp=85200348588&partnerID=8YFLogxK
U2 - 10.1201/9781003429234-45
DO - 10.1201/9781003429234-45
M3 - Conference contribution
SN - 9781032551449
T3 - New Challenges in Rock Mechanics and Rock Engineering - Proceedings of the ISRM Rock Mechanics Symposium, EUROCK 2024
SP - 333
EP - 338
BT - New Challenges in Rock Mechanics and Rock Engineering - Proceedings of the ISRM Rock Mechanics Symposium, EUROCK 2024
A2 - Tomás, Roberto
A2 - Cano, Miguel
A2 - Riquelme, Adrián
A2 - Pastor, José Luis
A2 - Benavente, David
A2 - Ordóñez, Salvador
PB - CRC Press/Balkema
ER -