®®®® SIIA Público

Título del libro: Rock Mechanics For Natural Resources And Infrastructure Development- Proceedings Of The 14th International Congress On Rock Mechanics And Rock Engineering, Isrm 2019
Título del capítulo: Neural networks and virtual reality for geo-data solutions

Autores UNAM:
PAULINA TREJO BAROCIO;
Autores externos:

Idioma:

Año de publicación:
2020
Palabras clave:

Neural networks; Rock mechanics; Virtual reality; 3D interpretation; Engineering decisions; Geotechnical data; Point of interest; Site investigations; Spatial relations; Spatial variability; Virtual reality engine; Rocks


Resumen:

Design of large-scale civil works naturally involves the characterization of considerable volumes of rock masses. The 3D-interpretation of properties where only scarce geotechnical data is available is crucial for deriving effective and safe engineering decisions. Because of the ever-increasing cost of site investigation, it is neither practical nor economical to acquire Geodata at each point of interest for a complete definition of ground behavior. This situation makes it necessary to explore spatial-variability modeling alternatives that can manage limited Geo-information. In this paper, a dynamic-neural procedure coupled with a Virtual Reality engine are developed for describing and visualizing spatial relations between complex sets of parameters. © 2020 ISRM.


Entidades citadas de la UNAM: