Evaluación del riesgo ante caída de bloques en taludes de roca a partir de procesamiento de imágenes digitales y simulación de redes de fracturamiento y de trayectorias de bloques

Vista sencilla de ítem
dc.contributor.advisorBeltrán Calvo, Gloria Inésspa
dc.contributor.advisorHernández Carrillo, Rodrigospa
dc.contributor.authorSanabria Ramírez, Jorge Alejandrospa
dc.date.accessioned2020-06-11T15:41:15Zspa
dc.date.available2020-06-11T15:41:15Zspa
dc.date.issued2019-12-16spa
dc.description.abstractEste documento presenta la formulación de un procedimiento para la evaluación del riesgo ante caída de bloques en taludes de roca, aplicado al caso de estudio de una mina a cielo abierto localizada en cercanías del municipio de Une, Cundinamarca. Haciendo uso de imágenes digitales tomadas con vehículos aéreos no tripulados y fotogrametría digital de corto alcance, se obtuvo información topográfica y estructural de la zona de estudio, mediante la construcción de modelos tridimensionales. La información obtenida de estos modelos fue utilizada para la simulación de redes discretas de fracturamiento y de trayectorias de bloques, lo cual sirvió para determinar el riesgo mediante la adaptación de una serie de metodologías desde diferentes perspectivas y con diferentes niveles de detalle. Inicialmente, se propone la construcción de mapas de amenaza ante caída de rocas, considerando los resultados de la simulación de trayectorias de bloques. Después, se plantea el uso de una metodología semicuantitativa para la determinación del riesgo; teniendo en cuenta información geológica, geotécnica, ambiental y de operación de los taludes de la zona de estudio, se realizaron análisis de estabilidad ante diferentes mecanismos de falla. En un paso siguiente, se propone el uso de redes discretas de fracturamiento para estudiar la estructura del macizo rocoso y formular la construcción de ecuaciones de magnitud-frecuencia sin la necesidad de inventarios de caídas de roca. Por último, mediante estas ecuaciones se realiza una estimación cuantitativa del riesgo y sus consecuencias.spa
dc.description.abstractThis document presents the development of a rockfall risk assessment procedure in rock slopes, applied to the case study of an open pit located near the municipality of Une, Cundinamarca. Based on digital images taken with unmanned aerial vehicles and short-range digital photogrammetry, three-dimensional models were constructed, and topographic and structural information of the study area was obtained. This information was used to simulate discrete fracture networks and rock block trajectories; those simulations were used to determine the risk to falling rocks, by adapting a series of methodologies from different perspectives and with different levels of detail. Initially, hazard maps construction from block trajectory simulation is proposed. Then, the use of a semi-quantitative methodology for risk assessment is applied; considering the geological, geotechnical, environmental and operational information of rock slopes in the study area, stability analysis for different failure mechanisms were carried out. In a next step, the use of discrete fracture networks to study the rock mass structure and to construct magnitude-frequency equations without rockfalls inventories, is proposed. Finally, quantitative risk assessment is carried out, using the constructed equation for risk determination and its consequences.spa
dc.description.additionalMagíster en Ingeniería Geotecniaspa
dc.description.degreelevelMaestríaspa
dc.format.extent129spa
dc.format.mimetypeapplication/pdfspa
dc.identifier.citationSanabria J. (2019). Evaluación del riesgo ante caída de bloques en taludes de roca a partir de procesamiento de imágenes digitales y simulación de redes de fracturamiento y de trayectorias de bloques (tesis de maestría). Universidad Nacional de Colombia, Bogotá, Colombia.spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/77644
dc.language.isospaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.programBogotá - Ingeniería - Maestría en Ingeniería - Geotecniaspa
dc.relation.references3GSM. (2010). ShapeMetriX3D imaging for measuring and assessing. User manual version 3.5.spa
dc.relation.referencesAgisoft. (2018). Agisoft PhotoScan User Manual Professional Edition, Version 1.4. Disponible en: https://www.agisoft.com/pdf/photoscan-pro_1_4_en.pdf.spa
dc.relation.referencesAgliardi, F., Crosta, G. B., Frattini, P. (2009). Integrating rockfall risk assessment and countermeasure design by 3D modelling techniques. Nat. Hazards Earth Syst. Sci. vol 9. Pp 1059-1073.spa
dc.relation.referencesAlejano, L., Stockhausen, H., Alonso, E., Bastante, F., Ramíre, P. (2008). ROFRAQ: A statistics-based empirical method for assessing accident risk from rockfalls in quarries. International Journal of Rock Mechanics and Mining Sciences. v. 45 (n. 8); pp. 1252-1272. ISSN 1365-1609, DOI:https ://doi.org/10.1016/j.ijrmms.2008.01.003.spa
dc.relation.referencesAlexander, D., (2002). Principles of Emergency Planning and Management. Harpendon Terra Publishing ISBN 1 093544 10 6.spa
dc.relation.referencesAlexander, E. (2005). Vulnerability to landslides. In: Glade, T., Anderson, M. Landslide Hazard and Risk. John Wiley & Sons, Ltd.ISBN: 0-471-48663-9.spa
dc.relation.referencesAzimi, C., Desvarreux, P., Giraud, A., Martin-Cocher, J. (1982). Méthode de calcul de la dynamique des chutes de bloc – Application à l´étude du versant de la montagne de La Pale (Vercors). Bulletin de Liaison des Laboratories des Ponts et chaussées. Vol 122. Pp 93-102.spa
dc.relation.referencesAzzoni, A., La Barbera, G., Zaninetti, A. (1995). Analysis and prediction of rock falls using a mathematical model. Int. J. Rock Mech. Min. vol 32. pp 709-724.spa
dc.relation.referencesBasson, F. R. P. (2012). Rigid body dynamics for rock fall trajectory simulation. American Rock Mechanics Association. 12-267.spa
dc.relation.referencesBonilla-Sierra, V., Scholtès, Donzé, F. V., Elmouttie, M. K. (2015). Rock slope stability analysis using photogrammetric data and DFN-DEM modelling. Acta Geotechnica. DOI 10.1007/s11440-015-0374-z.spa
dc.relation.referencesBourrier, F., Dorren, L., Nicot, F., Berger, F., Darve, F. (2009). Towards objective rockfall trajectory simulation using a stochastic modeling of a spherical rock bouncing on a coarse soil. Nat. Hazards. Earth Syst. Sci. vol 9. pp 831-846.spa
dc.relation.referencesBozzolo, D. & Pamini, R. (1986). Simulation of rock falls down a valley side. Acta Mech. Vol 63. 113-130.spa
dc.relation.referencesBrabb, E. (1984). Innovative approaches to landslide hazard mapping. In: Proceedings 4th international symposium on lanslides, Toronto, vol 1, pp 307-324.spa
dc.relation.referencesChacón, J., Irigaray, C., Fernández, T., El Hamdouni, R. (2006). Engineering geology maps: landslides and geographical information systems. Bulletin of Engineering Geology and the Environment. Vol 65(4). Pp 341–411. DOI 10.1007/s10064-006-0064-z.spa
dc.relation.referencesChau, K. T., Wong, R. H. C., Lui, J., lee, C. F. (2003). Rockfall Hazard Analysis for Hong Kong Bases on Rockfall Inventory. Austria. Rock Mech. Rock Engng. (2003) 36 (5), 383–408. DOI 10.1007/s00603-002-0035-zspa
dc.relation.referencesChristen, M., Barlelt, P., Gruber, U. (2007). RAMMS – a modelling system for snow avalanches, debris flows and rockfalls based on IDL. PFG Photogrammetrie – Fernerkundung – Geoinformation. Vol 4. Pp 289-292.spa
dc.relation.referencesCorominas, J., Copons, R., Moya, J., Vilaplana, J., Altimir, J., Amigó, J. (2005). Quantitative assessment of the residual risk in a rockfall protected area. Landslides. vol 2. pp 343-357. DOI: 10.1007/s10346-005-0022-z.spa
dc.relation.referencesCorominas, J., Moya, J. (2008). A review of assessing landslide frequency for hazard zoning purposes. Engineering Geology 102. pp 193-213.spa
dc.relation.referencesCrosta, G. & Agliardi, F., (2003a). High resolution three-dimensional numerical modelling of rockfalls. International Journal of Rock Mechanics and Mining Sciences 40:455-471. DOI: 10.1016/S1365-1609(03)00021-2.5.spa
dc.relation.referencesCrosta, G. B. & Agliardi, F. (2003b). A new methodology for physically based rockfall hazard assessment. Natural Hazards and Earth system Sciences, 3, 407-422.spa
dc.relation.referencesCrosta, G., Agliardi, F., Frattini, P., Imposato, S. (2004). A threedimensional hybrid numerical model for rockfall simulation. Geophys. Res. Abstr. 6.spa
dc.relation.referencesCruden, D. & Varnes, D. (1996). Landslides types and processes. En Turner, A. & Schuster, R. Landslides: Investigation and Mitigation. Transportation Research Board, Special Report 247, National Research Council, National Academy Press, Washington DC, 36-75.spa
dc.relation.referencesCSIRO. (2019). Siromodel User Manual. Disponible en: http://www.csiro.au/3dvision/Siromodel/e-Manuals/OPSMain.htm.spa
dc.relation.referencesCundall, P. (1971). A computer model for simulating progressive, largo-scale movements in blocky rock systems. In: Symp. Int. Soc. Rock Mech. Vol 1. Paper No. II-8. Nancy. Francia.spa
dc.relation.referencesDadashzadeh, N, Duzgun, H. S. B., Yesiloglu-Gultekin, N., Bilgin, A. (2014). Comparison of Lumped Mass and Rigid Body Rockfall Simulation Models for the Mardin Castle, Turkey. American Rock Mechanics Association. 48th Geomechanics Symposium. USA.spa
dc.relation.referencesDai, F. & Lee, C. (2001). Terrain-based mapping of landslides susceptibility using a geographical information system: a case of study. Canadian Geotechnical Journal 38, 911-923.spa
dc.relation.referencesDai, F., Lee, C., Ngai, Y., (2002). Landslide risk assessment and management: an overview. Engineering Geology. Vol. 64, pp. 65-87. https://doi.org/10.1016/S0013-7952(01)00093-X.spa
dc.relation.referencesDas, I., Kumar, G., Stein, A., Bagchi, A., Dadhwal, V., (2011). Stochastic landslide vulnerability modeling in space and time in a part of the northern Himalayas, India. Environmental monitoring and assessment. Vol. 178. pp. 25-37. DOI: 10.1007/s10661-010-1668-0.spa
dc.relation.referencesDescoeudres, F. & Zimmermann, T. (1987). Three-dimensional dynamic calculation of rockfalls. In: Sixth International Congress on Rock Mechanics. pp 337-342. International Society of Rock Mechanics. Montreal. Canada.spa
dc.relation.referencesDimnet, E. (2002). Mouvement et collisions de solides ridiges ou déformables. Ph.D. thesis. Ecole Nationale des Ponts et Chaussées. Francia.spa
dc.relation.referencesDomènech, G. (2015). Assessment of the magnitude-frequency relationship of landslides and rockfalls: Application to hazard mapping. Universitat Politécnica de Catalunya.spa
dc.relation.referencesDorren, L. & Seijmonsbergem, A. (2003). Comparision of three GIS-based models for predicting rockfall runout zones at a regional scale. Geomorphology. Vol 56. Pp 49-64.spa
dc.relation.referencesDorren, L. K. A., Berger, F., Putters, U. S. (2006). Real-size experiments and 3-D simulation of rockfall on forested and nonforested slopes. Nat. Hazards Earth Syst. Sci. vol 6. pp 145-153.spa
dc.relation.referencesDorren, L. K. A., Maier, B., Putters, U. S., Seijmonsbergem, A. C., (2004). Combining field and modelling techniques to assess rockfall dynamics on a protection forest hillslope in the European Alps. Geomorphology. Vol 57. 151-167.spa
dc.relation.referencesDussauge, C., Grasso, J.R., Helmstetter, A. (2003). Statistical analysis of rockfall volume distributions: Implications for rockfall dynamics. Journal of Geophysical Research. vol 108. DOI: 10.1029/2001JB000650.spa
dc.relation.referencesElmo, D., & Stead, D. (2009). An Integrated Numerical Modelling–Discrete Fracture Network Approach Applied to the Characterisation of Rock Mass Strength of Naturally Fractured Pillars. Rock Mechanics and Rock Engineering, 43(1), 3–19. doi:10.1007/s00603-009-0027-3.spa
dc.relation.referencesElmo, D., Rogers, S., Stead, D., Eberhardt, E. (2014). Discrete Fracture Network approach to characterize rock mass fragmentation and implications for geomechanical upscaling. Mining Technology. Vol 123. No 3. Pp 149- 161. DOI 10.1179/1743286314Y.0000000064.spa
dc.relation.referencesElmouttie, M., Poropat, G., & Krähenbühl, G. (2010). Polyhedral modelling of rock mass structure. International Journal of Rock Mechanics and Mining Sciences, 47(4), 544–552. doi:10.1016/j.ijrmms.2010.03.002spa
dc.relation.referencesElmouttie, M. K., Poropat, G. V. (2011). A Method to Estimate In Situ Block size Distribution. Rock Mech Rock Eng. Vol 45. Pp 401-407. DOI: 10.1007//s00603-011-0175-0.spa
dc.relation.referencesElmouttie, M., Krähenbühl, G., Soliman, A. (2016). A new excavation analysis method for slope design using discrete fracture network based polyhedral modelling. Computers a Geotechnics. Vol 76. Pp 93-104.spa
dc.relation.referencesFalanesca, M., Borio, L., Picchio, A., Peila, D. (2010). QuaRRi: a new methodology for rock-fall risk analysis and management in quarry exploitation.spa
dc.relation.referencesFalcetta, J. (1985). Un Nouveau modèle de calcul de trajectories de blocs rocheux. Revue Française de Géptechnique. Vol 30. Pp 11-17.spa
dc.relation.referencesFell, R. (1994). Landslide risk assessment and acceptable risk. Canadian Geotechnical Journal. Vol. 31, pp. 261-272. DOI: https://doi.org/10.1139/t94-0.31.spa
dc.relation.referencesFell, R., Ho, K.K.S., Lacasse, S., Leroi, E. (2005). A framework for landslide risk assessment and management. En: Hungr, O., Fell, R., Couture, R., Eberhardt, E. Landslide Risk Management. Taylor & Francis Group, Londres. pp 27- 61. ISBN 04 1538 043 X.spa
dc.relation.referencesFerrari F., Giacomini A., Thoeni K. (2016). Qualitative Rockfall Hazard Assessment: A Comprehensive Review of Current Practices. Rock Mech Rock Eng (2016) 49:2865–2922. DOI 10.1007/s00603-016-0918-z.spa
dc.relation.referencesFrattini, P., Crosta, G., Agliardi, F. (2012). Rockfall characterization and modeling. En: Clague, J. & Stead, D. Landslides – Types, Mechanisms and Modeling. ISBN 978-1-107-00206-7. Cambridge, UK.spa
dc.relation.referencesFrattini, P., Crosta, G., Carrara, A., Agliardi, F. (2008). Assessment of rockfall susceptinility by integrating statistical and physically-based approaches. Geomorphology. Vol 94. Pp 419-437.spa
dc.relation.referencesGardner, J., (1970). Rockfall: a geomorphic process in high mountain terrain. Albertan Geogr; 6:15–20p., Univ Alberta, Edmonton, Canada.spa
dc.relation.referencesGiordan, D., Maconi, A., Facello, A., Baldo, M., Dell´anese, F., Allasia, P., Dutto, F. (2015). Brief Communication: The use of an unmanned aerial vehicle in al rockfall emergency scenario. Nat. Hazards Earth Syst. Sci., 15, 163-169, https://doi.org/10.5194/nhess-15-163-2015.spa
dc.relation.referencesGlade, T., Anderson, M., (2005). Landslide Hazard and Risk. John Wiley & Sons, Ltd.ISBN: 0-471-48663-9.spa
dc.relation.referencesGoodman, R. & Bray, J. (1976). Toppling of Rock Slopes, ASCE, Proc. Specialty Conf. on Rock Eng. For Foundations and Slopes, Boulder, CO, 2, 201-234.spa
dc.relation.referencesGoodman, R. E. & Shi, G. (1985). Block Theory and its Application to Rock Engineering. Prentice-Hall. USA.spa
dc.relation.referencesGuzzeti, F.; Reichenbach, P., Ghigi, S. (2004). Rockfall Hazard and Risk Assessment Along a transportation Corridor in the Nera Valley, Central Italy. Environmental Management Vol. 34, No. 2, pp. 191–208. DOI: 10.1007/s00267-003-0021-6.spa
dc.relation.referencesGuzzetti, F. (2005). Landslide hazard and risk assessment, PhD thesis, University of Bonn, Alemania.spa
dc.relation.referencesGuzzetti, F., Carrara, A., Cardinali, M., Reichenbach, P. (1999). Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy.spa
dc.relation.referencesGuzzetti, F., Crosta, G., Detti, R., Agliardi, F. (2002). STONE: a computer program for the three-dimensional simulation of rock-falls. Computers & Geosciences. vol 28. pp 1079-1093.spa
dc.relation.referencesGuzzetti, F., Reichenbach, P., Wieczorek, G. F. (2003). Rockfall hazard and risk assessment in the Yosemite Valley, California, USA. Natural Hazards and Earth System Sciences. vol 3. pp 491-503.spa
dc.relation.referencesHamza, T., & Raghuvanshi, T. K., (2017). GIS based landslide hazard evaluation and zonation – A case from Jeldu District, Central Ethiopia. Journal of King Saud University - Science, 29(2), 151–165. doi:10.1016/j.jksus.2016.05.002.spa
dc.relation.referencesHantz, D. (2011). Quantitative assessment of diffuse rock fall hazard along a cliff foot. Natural Hazards and Earth System Sciences, European Geosciences Union. 11 (5). pp 1303-1309. 10.5194/nhess-11-1303-2011. Insu-00680398.spa
dc.relation.referencesHoek, E. & Bray, J. W. (1981). Rock Slope Engineering. Revised 3rd edition, the Institution of Mining a Metallurgy. Londres.spa
dc.relation.referencesHoek, E. & Bray, J. W. (1989). Rock Slopes: Design, Excavation, Stabilization. U.S. Department of Transportation. Federal Highway Administration.spa
dc.relation.referencesHoek, E. (2000). Analysis of rockfall hazards. En: Hoek, R. (ed) Practical rock engineering. pp 117-136. Canada.spa
dc.relation.referencesHoek, E., Bray, J., Boyd, J. (1973). The stability of a rock slope containing a wedge resting on two intersecting discontinuities. Quart- J. Engng Geol., 6(1) 22-35.spa
dc.relation.referencesHungr, O. & Evans, S. (1988). Engineering evaluation of fragmental rockfall hazards. En: 5th International Symposium on Landslides. vol 1. pp 685-690. Suiza.spa
dc.relation.referencesHungr, O., Evans, S. G., Hazzard, J. (1999). Magnitude and frequency of rock falls and rock slides along the main transportation corridors of southwestern British Columbia. Can Geotech J 36(2):224-238.spa
dc.relation.referencesInerco Consultoría Colombia Ltda. (2018). Estudio de impacto ambiental para la modificación de la licencia ambiental del proyecto “cantera el Pedregal” contrato de concesión 15590.spa
dc.relation.referencesJaboyedoff, M., Dudt, J. P., Labiouse, V. (2005). An attempt to refine rockfall zoning based on kinetic energy, frequency and fragmentation degree. Natural Hazards and Earth System Sciences, vol 5, 621-632.spa
dc.relation.referencesJones, C. L., Higgins, J., Andrew, R. (2000). Colorado Rockfall Simulation Program Version 4.0. Tech. rep. Colorado Department of Transportation. Denver.spa
dc.relation.referencesKjellen, U. & Albrechtsen, E. (2017). Prevention of Accidents and Unwanted Occurrences: Theory, Methods, and Tools in Safety Management. Second Edition. CRC Press. ISBN 9781498736596 - CAT# K26493.spa
dc.relation.referencesKobayashi, Y., Harp, E.L. & Kagawa, T. (1990). Simulation of rock falls triggered by earthquakes. T. Rock Mech. Rock Eng, 23(1),1-20. DOI: https://doi.org/10.1007/BF01020418.spa
dc.relation.referencesKrummenacher, B. & Keusen, H. (1996). Rockfall simulation and hazard mapping based on digital Terrain Modell (DTM). European Geologist. Vol 12. Pp 33-35.spa
dc.relation.referencesKrummenacher, B., Schwab, S., Dolf, F. (2008). Assessment of natural hazards by three calculations of rockfall behaviour. En: Volkwein, A., Labiouse, V., Schellenberg, K. Interdisciplinary Workshop on Rockfall Protection. Pp 49-51. Swiss Fed. Research Inst. Suiza.spa
dc.relation.referencesKu, C. L. (2014). A 3-D Numerical Model for assessing Rockfall Hazard. Disaster Advances. Vol 7. Pp 73-77.spa
dc.relation.referencesLabiouse, V., Abbruzzese, J. (2011). Rockfall Hazard Zoning for Land Use Planning. En: Lambert, S., Nicot, F. Rockfall engineering. John Wiley & Sons. ISBN 978-1-84821-256-5.spa
dc.relation.referencesLabiouse, V., Heidenreich, B., Desvarreux, P., Viktorovitch, M., Guillemin, P., (2001). Études trajectographiques. En: Carere, K., Ratto, S., Zanolini, F. Prévention des mouvements de versants et des instabilités de falaises. Pp 155-210. Aosta. Italia.spa
dc.relation.referencesLambert, C., Thoeni, K., Giacomini, A., Casagrande, D., Sloan. S. (2012). Rockfall Hazard Analysis From Discrete Fracture Network Modelling with Finite Persistence Discontinuities. DOI: 10.1007/s00603-012-0250-1.spa
dc.relation.referencesLan, H., Matin, D., Lim, C. (2007). RockFall analyst: A GIS extension for three-dimensional and spatially distributed rockfall hazards modeling- Comput Geosci. Vol 33. Pp 262-279.spa
dc.relation.referencesLe Hir, C., Dimnet, E., Berger, F. (2006). Étude de la trajectographie des chutes de blocs en forêts de montagne. Bull. LAb. Ponts Chaussées. 263/264. Pp 85-101.spa
dc.relation.referencesLee, E. & Jones, D. (2004). Landslides risk assessment. Thomas Telford Limited. ISBN: 0 7277 3171 8. London.spa
dc.relation.referencesLei, Q., Latham, J. P., Tsang, C. F. (2017). The use of discrete fracture networks for modelling coupled geomechanical and hydrological behaviour of fractured rocks. Computers and Geotechnics. Vol 85. Pp 151-176. DOI 10.1016/j.compgeo.2016.12.024.spa
dc.relation.referencesLo, C. M., Li, M. L., Lee, W. C. (2008). Talus Deposition Pattern of Rockfall through Mechanical Model and Remote Sensing technology. Geophysical Research Abstracts. Vol. 10. 5th EGU General Assembly.spa
dc.relation.referencesLu, J. (2002). Systematic identification of polyhedral rock blocks with arbitrary joints and faults. Computers and Geotechnics, 29(1), 49–72. doi:10.1016/s0266-352x(01)00018-0spa
dc.relation.referencesLuckman, B. H. (1976). Rockfalls and rockfall inventory data: some observations from surprise valley, Jasper National Park, Canada. Earth Surface Processes. vol. 1. pp 287-298.spa
dc.relation.referencesMalamud, B., Turcotte, D., Guzzetti, F., Reichenbach, P., (2004). Landslide Inventories and their Statistical Properties. Earth Surface Processes and Landforms Earth Surf. Process. Landforms 29, pp. 687–711. Published online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/esp.1064.spa
dc.relation.referencesManousakis, J., Zekkos, D., Saroglou, H., Clark, M. (2016). Comparison of UAV-enabled photogrammetry-based 3d point clouds and interpolated DSMs of sloping terrain for rockfall hazards analysis. The International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences. Volume XLII-2/W2. 11th 3D Geoinfo conference. Grecia.spa
dc.relation.referencesMatsuoka, N, Sakai, H. (1999). Rockfall activity from an alpine cliff during thawing periods. Geomorphology; 28:309–28, DOI: https://doi.org/10.1016/S0169-555X(98)00116-0.spa
dc.relation.referencesMavrouli, O. & Corominas, J. (2018).TXT-tool 4.034-1.1: Quantitative Rockfall Risk Assessment for Roadways and Railways, Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools. Volumen 2. pp.421-434, SASSA, K. et al., DOI: 10.1007/978-3-319-57777-7_30.spa
dc.relation.referencesMavrouli, O., Abbruzzese, J., Corominas, J., Labiouse, V. (2013). Review and Advances in Methodologies for Rockfall Hazard and Risk Assessment. In: Mountain Risks; From Prediction to Governance. Cap 6. DOI: 10.1007/978-94-007-6769-0_6.spa
dc.relation.referencesMeissl, G. (1998). Modellierung der Reichweite von Felltürzen: Fallbeispiele zer GIS-gestüzten Gefahrenbeurteilung. Ph.D. thesis. Institu für Geographie. Uni. Innsbruck.spa
dc.relation.referencesNorrish, N. I. & Wyllie, D. C. (1996). Rock Slope Stability Analysis. En: Landslides: Investigation and Mitigation, Transportation research board, National research council, Special report 247, pp. 391-418.spa
dc.relation.referencesPalmström, A. (2000). Block size and block size distribution. Workshop on "Reliablity of classification systems" in connection with the GeoEng2000 conference, Melbourne.spa
dc.relation.referencesPan, X., Nakamura, H., Nozaki, T., Huang, X., (2008). A GIS-based landslide hazard assessment by multivariate analysis. Landslides – Journal of the Japan Landslide Society. Vol. 45, No. 3 pp. 187-195.spa
dc.relation.referencesPeila, D.; Patrucco, M. and Falanesca, M., Quantification and Management of Rockfall Risk in Opencast Quarrying Activities. Environmental and Engineering Geoscience. 2011. 17 (1): 39-51, DOI: https://doi.org/10.2113/gseegeosci.17.1.39.spa
dc.relation.referencesPeng, B. (2000). Rockfall Trajectory Analysis – Parameter Determination and Application. Thesis. University of Canterbury.spa
dc.relation.referencesPeñula, J., Beltrán, G., Hernández, R. (2019). Acquisition and Evaluation of Rock Mass Geometric Data from Three-Dimensional Images for use in Geotechnical Analysis. Ingeniería y ciencia, 15(29), 43-73. https://doi.org/10.17230/ingciencia.15.29.2.spa
dc.relation.referencesPfeiffer, T. & Bowen, T. (1989). Computer Simulation of Rockfalls. Buletin of the Association of Engineering Geologists. Vol 26. Pp 135-146.spa
dc.relation.referencesPicarelli, L., Oboni, F., Evans, S. G., Mostyn, G., Fell, R. (2005). Hazard characterization and quantification. En: Hungr, O., Fell, R., Couture, R., Eberhardt, E. Landslide Risk Management. Taylor & Francis Group, Londres. pp 27- 61. ISBN 04 1538 043 X.spa
dc.relation.referencesPinillos, D. (2017). Metodología para la evaluación cuantitativa de amenaza por deslizamientos en roca. MSc Thesis., Universidad Nacional de Colombia. Disponible: http://bdigital.unal.edu.co/59522/1/1122126882_Deisy_Viviana_Pinillos.pdf.spa
dc.relation.referencesPiteau, D. & Clayton, R. (1976). Computer Rockfall Model. En: Meeting on Rockfall Dynamics and Protective Works Effectiveness. No. 90. ISMES Publication. Pp 123-125. Bergamo. Italia.spa
dc.relation.referencesPötsch, Markus (2011). The analysis of rotational and sliding modes of failure for slopes, foundations, and underground structures in blocky, hard rock. / Dietzel, Martin (Editor); Kieffer, Daniel Scott (Editor); Schubert, Wulf (Editor); Schweiger, Helmut (Editor); Semprich, Stephan (Editor).1 ed. Graz : Technische Universität Graz, Gruppe Geotechnik Graz, Institut für Felsmechanik und Tunnelbau. (Gruppe Geotechnik Graz).spa
dc.relation.referencesPradhan, B., Fanos, A. M. (2017). Rockfall Hazard Assessment: An Overview. En: Laser Scanning Applications in Landslide Assessment. 299-322. DOI 10.1007/978-3-319-55342-9_15.spa
dc.relation.referencesRammer, W., Brauner, M., Dorren, L., Berger, F., Lexer, M. (2007). Validation of an integrated 3D forest – rockfall model. Geophys. Red. Abstr. Vol 9. 04634. Vienna.spa
dc.relation.referencesRapp, A. (1960). Recent Development of Mountain Slopes un Kärkevagge and Surroundings, Northern Scandinavia, Geografiska Annaler, 42:2-3, 65-200, DOI: 10.1080/20014422.1960.11880942.spa
dc.relation.referencesRichards, LR., (1988). Rockfall protection: a review of current analytical and design methods. En: Meeting on rockfall dynamics and protective works effectiveness, Bergamo.spa
dc.relation.referencesRitchie, A. (1963). Evaluation of rockfall and its control. Highway research record. vol 17. pp 13-28.spa
dc.relation.referencesRoberds, W. (2005). Estimating temporal and spatial variability and vulnerability. En: Hungr, O., Fell, R., Couture, R., Eberhardt, E. Landslide Risk Management. Taylor & Francis Group, Londres. ISBN 04 1538 043 X.spa
dc.relation.referencesRobiati, C., Eyre, M., Vanneschu, C., Francioni, M., Venn, A., Coggan, J. (2019). Application of Remote Sensing Data for Evaluation of Rockfall Potencial withing a Quarry Slope. International Journal of Geo-Information. 8(9):367. DOI: 10.3390/ijgi8090367spa
dc.relation.referencesRochet, L. (1987). Development of numerical models for the analysis of propagation of rock-falls, 6th Int. Congress on Rock Mech. Vol 1. 479-484.spa
dc.relation.referencesRocsciece. (2002). RocFall Risk Analysis of Falling Rocks on Steep Slopes. User´s Guide. Disponible en: https://www.rocscience.com/downloads/rocfall/RocFall%20Tutorial.pdf.spa
dc.relation.referencesRocscience. (2016a). Dips v7.0 graphical and statistical analysis of orientation data. Canada. www.rocscience.com.spa
dc.relation.referencesRocscience. (2016b). RocPlane v3.0 planar sliding stability analysis for rock slopes. Canada. www.rocscience.com.spa
dc.relation.referencesRocscience. (2016c). Swedge v6.0 3D surface wedge analysis for slopes. Canada. www.rocscience.com.spa
dc.relation.referencesRocscience. (2016d). RocTopple v1.0 toppling stability analysis. Canada. www.rocscience.com.spa
dc.relation.referencesSantana, D., Corominas, J., Mavrouli, O., Garcia-Sellés, D. (2012): Magnitude-frequency relation for rockfall scars using a Terrestrial Laser Scanner. Engineering Geology 145-146. 50-64.spa
dc.relation.referencesScioldo, G. (1991). Slope instability recognition, analysis, and zonation. En: Rotomap: analisi statistica del rotolamento dei massi. Pp 81-84. Italia.spa
dc.relation.referencesSenseFly. (2015). EBee RTK User Manual. Switzerland.spa
dc.relation.referencesSpang, R. & Sönser, T. (1995). Optimized rockfall protection by “Rockfall”. En: 8th Int. Congr. Rock Mech. Vol 3. pp 1233-1242. Tokyo.spa
dc.relation.referencesStevens, W. D. (1998). Rocfall: A tool for probabilistic analysis, design of remedial measures and prediction of rockfall. Master´s thesis. University of Toronto. Disponible en: https://www.rocscience.com/help/rocfall/pdf_files/Verification/thesis_body.pdf.spa
dc.relation.referencesSuárez, J. (2009). Deslizamientos: Técnicas de Remediación. Universidad Industrial de Santander. Colombia. Vol II. pp 313-360. Disponible en: https://www.erosion.com.co/deslizamientos-tomo-ii-tecnicas-de-remediacion.html.spa
dc.relation.referencesVan Dijke, J. & van Westen, C. (1990). Rockfall Hazard: a geomorphological application of neighborhood analysis with ILWIS. ITC Journal. Vol 1. Pp 40-44.spa
dc.relation.referencesVandine, D. (2004). Chapter 3 – Technical Terms and Methods. In: Wise et al. (eds.) Landslide Risk Case Studies in Forest Developement Planning and Operations. B.C., Ministry of Forest, Forest Science Program, Abstract of Land Management Handbook 56, 13-26.spa
dc.relation.referencesVarnes D.J. (1978). Slope movement types and processes. In: Schuster RL, Krizek RJ (eds) Landslide analysis and control. Transportation Research Board, Special report 176. National Academy Sciences, Washington, DC, pp 11–33. Disponible en: http://onlinepubs.trb.org/Onlinepubs/sr/sr176/176-002.pdf.spa
dc.relation.referencesVolkwein, A., Schellenberg, K., Labiouse, V., Agliardi, F., Berger, F., Bourrier, F., Dorren, L.K.A., Gerber, W., Jaboyedoff, M. (2011). Rockfall characterisation and structural protection – A review. Natural Hazards and Earth System Sciences, European Geosciences Union, 11, pp 2617-2651. Hal-00653458.spa
dc.relation.referencesWarburton, P. M. (1981). Vector stability analysis of an arbitrary polyhedral rock block with any number of free faces. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 18(5), 415–427. doi:10.1016/0148-9062(81)90005-x.spa
dc.relation.referencesWhalley, B. (1984). Rockfalls. En: Brunsden, D., Prior, D. B. Slope Instability. John Wiley & Sons. Capítulo 7. Pp 217-256.spa
dc.relation.referencesWieczorek, G., Nishenko, S., Varnes, D. (1995). Analysis of rock falls in the Yosemite Valley, California. En: Daemen, J., Schultz, R. Rock Mechanics. Rotterdam. ISBN 90 5410 552 6.spa
dc.relation.referencesWoltjer, M., Rammer, W., Brauner, M., Seidl, R., Mohren, G., Lexer, M. (2008). Coupling a 3D path model and a rockfall module to assess rockfall protection in mountain forest. J. Environ. Manag. Vol 87. Pp 373-388.spa
dc.relation.referencesWu, S. (1985). Rockfall evaluation by computer simulation. Transportation Research Record. vol 1031. Pp 1-5.spa
dc.relation.referencesWyllie, D. & Mah, C. (2004). Rock Slope Engineering Civil and Mining. 4th edition. ISBN 0-203-57083-9.spa
dc.relation.referencesWyllie, D. C. & Norrish, N. I. (1996). Stabilization of Rock Slopes. En: Landslides: Investigation and Mitigation, Transportation research board, National research council, Special report 247, pp. 474-500.spa
dc.relation.referencesWyllie, D. C. (2014). Rock fall engineering. Taylor & Francis Group. International Standard Book Number-13:978-1-4822-1998-2.spa
dc.relation.referencesYang, M., Fukawa, T., Ohnishi, Y., Nishiyama, S., Miki, S., Hirakawa, Y., Mori, S. (2004). The application od 3-dimensional DDA with a spherical rigid block for rockfall simulation. Int. J. Rock Mech. Min. vol 41. pp 1-6.spa
dc.relation.referencesYilmaz, I.; Yildirim, M. and Keskin, I. (2008). A method for mapping the spatial distribution of RockFall computer program analyses results using ArcGIS software. Bulletin of Engineering Geology and the Environment 67(4):547-554. DOI: 10.1007/s10064-008-0174-x.spa
dc.relation.referencesZinggeler, A., Krummenacher, B., Kienholz, H. (1990). Steinschlagsimulation in Gebirgswäldern. Berichte und Forschungen der Geographisches Institut der Universität Freiburg. Vol 3. Pp 61-70.spa
dc.rightsDerechos reservados - Universidad Nacional de Colombiaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial 4.0 Internacionalspa
dc.rights.spaAcceso abiertospa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/spa
dc.subject.ddc620 - Ingeniería y operaciones afines::624 - Ingeniería civilspa
dc.subject.proposalRockfallseng
dc.subject.proposalCaída de rocasspa
dc.subject.proposalDeterminación del riesgospa
dc.subject.proposalRisk assessmenteng
dc.subject.proposalDigital image processingeng
dc.subject.proposalProcesamiento de imágenes digitalesspa
dc.subject.proposalRedes discretas de fracturamientospa
dc.subject.proposalDiscrete fracture networkseng
dc.subject.proposalTrayectoria de bloquesspa
dc.subject.proposalBlock trajectoryeng
dc.titleEvaluación del riesgo ante caída de bloques en taludes de roca a partir de procesamiento de imágenes digitales y simulación de redes de fracturamiento y de trayectorias de bloquesspa
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

Archivos

Bloque original

Mostrando 1 - 1 de 1
Miniatura
Nombre:
1020791938.2020.pdf
Tamaño:
7.4 MB
Formato:
Adobe Portable Document Format
Descargar

Bloque de licencias

Mostrando 1 - 1 de 1
Miniatura
Nombre:
license.txt
Tamaño:
3.9 KB
Formato:
Item-specific license agreed upon to submission
Descripción:
Descargar

Colecciones

Maestría en Ingeniería - Geotécnia