Tunneling and Rock Mechanics
This cluster of papers focuses on the prediction of Tunnel Boring Machine (TBM) performance in hard rock conditions, utilizing rock mass properties, rock fragmentation, and machine learning techniques. It also includes research on risk assessment, numerical simulation, and the influence of geological conditions on TBM performance.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.