Structure from Motion photogrammetry to characterize underground rock masses: Experiences from two real tunnels

García Luna, Ramiro ORCID: https://orcid.org/0000-0003-0802-8609, Senent Domínguez, Salvador ORCID: https://orcid.org/0000-0002-8545-5498, Jurado Piña, Rafael ORCID: https://orcid.org/0000-0002-6697-193X and Jiménez Rodríguez, Rafael ORCID: https://orcid.org/0000-0002-7720-2757 (2019). Structure from Motion photogrammetry to characterize underground rock masses: Experiences from two real tunnels. "Tunnelling and Underground Space Technology", v. 83 ; pp. 262-273. ISSN 0886-7798. https://doi.org/10.1016/j.tust.2018.09.026.

Descripción

Título: Structure from Motion photogrammetry to characterize underground rock masses: Experiences from two real tunnels
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Tunnelling and Underground Space Technology
Fecha: 1 Enero 2019
ISSN: 0886-7798
Volumen: 83
Materias:
Palabras Clave Informales: Digital photogrammetry; Tunnel face characterization; Discontinuity Set Extractor; 3D point cloud model; DIPS analysis; Remote technique; Agisoft Photoscan
Escuela: E.T.S.I. Caminos, Canales y Puertos (UPM)
Departamento: Ingeniería y Morfología del Terreno
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[thumbnail of 5498130.pdf] PDF (Portable Document Format) - Acceso permitido solamente al administrador del Archivo Digital UPM - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (16MB)

Resumen

A new methodology to identify discontinuity sets at the tunnel face based on the Structure from Motion (SfM) photogrammetric technique is proposed. The work focuses on the performance of this technique when employed to characterize the ground mass under real tunneling conditions, illustrating its possibilities and analyzing several aspects that affect the quality of the obtained results. By means of a set of overlapping photographs from the tunnel face, SfM constructs a 3D point cloud model, from which discontinuities are identified using a discontinuity set extractor software. To orientate and scale the digital model, an easy-to-use portable orientation template, specifically developed for this work, is employed. The proposed methodology is applied to two real tunnels under construction in Northern Spain. Its results are compared with those obtained with a traditional analysis based on manual compass measurements. Results show that the SfM methodology provides an adequate characterization of the structure of the rock mass, identifying the same number of discontinuity sets as the compass measurements approach and with differences in orientation that are within the uncertainty range associated to manual measurements. Only one sub-horizontal set presented higher orientation differences, but this is mainly due to the presence of shotcrete at the face. In addition to the advantages of a distant measurement technique-e.g., health and safety advantages, capability to characterize unreachable areas, etc.-, as well as to the advantage of its reduced cost, the proposed SfM methodology and its associated tools allow one to represent planes associated to each discontinuity set back into the original 3D digital point model, and to perform detailed analyses that clarify and improve the obtained results. Finally, an analysis about the minimum number of photographs needed to adequately characterize the tunnel face is conducted, with results showing that around 15 good quality photographs are enough for tunnel faces with excavated areas of about 50 m(2).

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
BIA2015-69152-R
Sin especificar
Sin especificar
Predicción y análisis de deformaciones para la seguridad en túneles

Más información

ID de Registro: 85294
Identificador DC: https://oa.upm.es/85294/
Identificador OAI: oai:oa.upm.es:85294
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5498130
Identificador DOI: 10.1016/j.tust.2018.09.026
URL Oficial: https://www.sciencedirect.com/science/article/pii/...
Depositado por: iMarina Portal Científico
Depositado el: 12 Dic 2024 08:22
Ultima Modificación: 12 Dic 2024 08:33