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Relevant bibliographies by topics / Rock mass evaluation / Dissertations / Theses

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Dissertations / Theses on the topic 'Rock mass evaluation'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Edelbro, Catrin. "Evaluation of rock mass strength criteria." Licentiate thesis, Luleå, 2004. http://epubl.luth.se/1402-1757/2004/72.

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2

Eksi, M. "Rock mass characterisation for stability evaluation of room and pillar mine workings." Thesis, University of Nottingham, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381206.

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3

Chester, Christopher James. "The evaluation of novel remote techniques for the detection of rock mass failure." Thesis, University of Exeter, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438734.

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4

Ismail, Mohd Ashraf bin Mohamad. "Study on hydrogeological modeling and evaluation of groundwater behaviors in fractured rock mass." 京都大学 (Kyoto University), 2010. http://hdl.handle.net/2433/120805.

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5

Poluga, Sara Lindsay. "Rock Mass Characterization and Stability Evaluation of Mount Rushmore National Memorial, Keystone, South Dakota." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1498239487032982.

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6

Chang, Chuan Sheng. "Development of Hydrogeological Modelling Method and Evaluation of Hydraulic Behaviors in Fractured Rock Mass." 京都大学 (Kyoto University), 2009. http://hdl.handle.net/2433/124510.

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7

Bryan-Jones, Alistair. "Evaluation of rock mass behaviour using borehole microseismic monitoring : an application to longwall coal mining." Thesis, University of Liverpool, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366358.

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8

Clark, Philip B. "Rock mass and rippability evaluation for a proposed open pit mine at Globe-Progress, near Reefton." Thesis, University of Canterbury. Geology, 1996. http://hdl.handle.net/10092/9361.

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Rock mass classification schemes such as the Q System and Rock Mass Rating (RMR) System have been designed for prediction of tunnel support, but these systems can be modified from stability analyses to excavatability assessments. Five methods have been used to classify the rock mass at Globe-Progress with the objective of predicting the type of equipment that may be used to excavate the open pit: • Seismic velocity determination • Size-Strength Method • RMRSystem • Weaver's (1975) Rippability Rating System • MacGregor et al's (1994) Productivity Prediction Method Seismic velocity determi

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9

Elkarmoty, Mohamed Mohy Mohamed Saad <1987&gt. "Rock Mass Fracture Detection and Modelling Using GPR for Evaluation and Production Optimization of Ornamental Stone Deposits." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8370/1/Thesis_Mohamed%20Elkarmoty_PhD%20UNIBO.pdf.

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The thesis presents new solutions for the fractures problem in ornamental stone quarries which entails economic and material loses. The thesis aimed at developing methodologies and providing solutions for evaluation and production optimization of ornamental stone deposits. Ground Penetrating Radar (GPR) was selected, among several methods, as a fracture detection tool for this research. A combination of the use of a low frequency GPR antenna and laboratory rock tests for evaluation of an ornamental stone deposit showed encouraging results. Based on GPR survey, particularly high frequency anten

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10

Tranel, Lisa Marie. "Evaluation of Coupled Erosional Processes and Landscape Evolution in the Teton Range, Wyoming." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/38693.

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The evolution of mountain landscapes is controlled by complex interactions between large-scale tectonic, surficial and climate conditions. Dominant processes are attributed to creating characteristic features of the landscape, but topographic features are the cumulative result of coupled surficial processes, each locally effective in a different climate or elevation regime. The focus of erosion by glacial, fluvial, or mass wasting processes is highly sensitive to small changes in boundary conditions, therefore spatial and temporal variability can be high when observed over short time scales. T

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11

Benhalima, Mehdi. "Evaluation of the differences in characterization and classification of the rock mass quality : A comparison between pre-investigation, engineering geological forecast and tunnel mapping in the Northern Link project and the Cityline project." Thesis, KTH, Jord- och bergmekanik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-195743.

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In the construction of a tunnel, the characterization of the rock mass is performed in three different steps, in the pre-investigations, in the engineering geological forecast and in the tunnel mapping during construction. There has in previous work been observed that discrepancies exist between the results from these different steps, with a tendency to assign poorer rock mass quality in the tunnel mapping than in the pre-investigations and in the engineering geological forecast. One example is the work done by Kjellström [1] on the Cityline where the divergence in rock mass quality was analyz

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12

Elmo, Davide. "Evaluation of a hybrid FEM/DEM approach for determination of rock mass strength using a combination of discontinuity mapping and fracture mechanics modelling, with particular emphasis on modelling of jointed pillars." Thesis, University of Exeter, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439831.

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13

Sanchez, Caballero Lizeth Katherine. "Geostatistical modeling of geotechnical variables considering directional dependence." Electronic Thesis or Diss., Université Paris sciences et lettres, 2022. https://thesesprivees.mines-paristech.fr/2022/2022UPSLM045_archivage.pdf.

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Avec la modélisation géologique et géométallurgique, la modélisation géotechnique est l'une des composantes essentielles de la planification et du développement de projets miniers à ciel ouvert et souterrains. Une caractéristique particulière de nombreuses variables géotechniques est d'être dépendante de la direction, c'est-à-dire que la mesure d'une carotte de sondage dépend non seulement de sa position géographique mais aussi de son orientation. Pour tenir compte de cette caractéristique, il est proposé de régionaliser les variables géotechniques dans un espace à cinq dimensions correspondan

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14

Young, Mimy. "Evaluation of Non-Contact Sampling and Detection of Explosives using Receiver Operating Characteristic Curves." FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/994.

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The growing need for fast sampling of explosives in high throughput areas has increased the demand for improved technology for the trace detection of illicit compounds. Detection of the volatiles associated with the presence of the illicit compounds offer a different approach for sensitive trace detection of these compounds without increasing the false positive alarm rate. This study evaluated the performance of non-contact sampling and detection systems using statistical analysis through the construction of Receiver Operating Characteristic (ROC) curves in real-world scenarios for the detecti

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15

Moon, Joon-Shik. "Evaluation and assessment of inflow rates in tunnels excavated in jointed rock mass /." 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3269985.

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Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.<br>Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: 4676. Adviser: G. Fernandez. Includes bibliographical references (leaves 254-260) Available on microfilm from Pro Quest Information and Learning.

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16

Sebastian, Resmi. "Elastic Wave Propagation and Evaluation of Low Strain Dynamic Properties in Jointed Rocks." Thesis, 2015. http://etd.iisc.ac.in/handle/2005/3653.

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When the point under consideration is not near to the source of vibration, the strains developed in the rock mass due to the passage of waves are usually of small magnitude, and within the elastic range. However, the rock mass may be subjected to a wide range of strain levels depending on the source of vibration and the wave frequency, even within the elastic limit. The present study is based on the two general conditions existing at field, long wave length propagation of waves and intermediate wavelength propagation of waves. When the wavelength of propagating wave is much longer than the jo

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17

Sebastian, Resmi. "Elastic Wave Propagation and Evaluation of Low Strain Dynamic Properties in Jointed Rocks." Thesis, 2015. http://etd.iisc.ernet.in/2005/3653.

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When the point under consideration is not near to the source of vibration, the strains developed in the rock mass due to the passage of waves are usually of small magnitude, and within the elastic range. However, the rock mass may be subjected to a wide range of strain levels depending on the source of vibration and the wave frequency, even within the elastic limit. The present study is based on the two general conditions existing at field, long wave length propagation of waves and intermediate wavelength propagation of waves. When the wavelength of propagating wave is much longer than the jo

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18

Cameron-Clarke, Ian Stuart. "An evaluation of the reliability of borehole core data in engineering rock mass classification systems." Thesis, 2015. http://hdl.handle.net/10539/16481.

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19

Liu, Hsing-Chih, and 劉星馳. "Accuracy of Ultrasound-Based Bone Mass Density (BMD) for Classification and Yield of Osteoporosis－Evaluation by Recevicer Operating Characteristic (ROC) method." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/22187745664489331838.

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碩士<br>臺灣大學<br>流行病學研究所<br>98<br>The gold standard for osteoporosis diagnosis is bone mass density (BMD) detected by dual energy X-ray absorptiometry (DXA), however DXA is not a suitable tool on population screening. Recently, the quantitative ultrasound (QUS) tool was developing as a BMD screening tool in population screening, but the accuracy of QUS tool has not yet been identified. We collected population BMD screening data from 1999 to 2004, there are 41245 people with 39512 are non-osteoporosis and 1733 are diagnosed to be osteoporosis. Using QUS as BMD screening tool had sensitivity of 0.5

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