Item talk:Q166483

{

 "OpenAlex": {
   "display_name": "Prediction of Tunnel Boring Machine Performance",
   "description": "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.",
   "keywords": [
     "TBM",
     "performance prediction",
     "rock fragmentation",
     "rock properties",
     "hard rock condition",
     "machine learning",
     "risk assessment",
     "rock cutting",
     "geological conditions",
     "numerical simulation"
   ],
   "ids": {
     "openalex": "https://openalex.org/T12482",
     "wikipedia": "https://en.wikipedia.org/wiki/Tunnel_boring_machine"
   },
   "subfield": {
     "id": "https://openalex.org/subfields/2205",
     "display_name": "Civil and Structural Engineering"
   },
   "field": {
     "id": "https://openalex.org/fields/22",
     "display_name": "Engineering"
   },
   "domain": {
     "id": "https://openalex.org/domains/3",
     "display_name": "Physical Sciences"
   },
   "updated_date": "2024-08-12T05:36:23.616894",
   "created_date": "2024-01-23",
   "type": "topic",
   "oa_id": "T12482",
   "id": "https://openalex.org/T12482"
 }

}