Dissertations / Theses on the topic 'Rock mass evaluation'
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Edelbro, Catrin. "Evaluation of rock mass strength criteria." Licentiate thesis, Luleå, 2004. http://epubl.luth.se/1402-1757/2004/72.
Full textEksi, 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.
Full textChester, 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.
Full textIsmail, 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.
Full textPoluga, 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.
Full textChang, 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.
Full textBryan-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.
Full textClark, 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.
Full textElkarmoty, Mohamed Mohy Mohamed Saad <1987>. "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.
Full textTranel, 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.
Full textPh. D.
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.
Full textElmo, 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.
Full textSanchez, 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.
Full textTogether with geological and geometallurgical modeling, geotechnical modeling is one of the essential components for the planning and development of open pit and underground mining projects. A particular characteristic of many geotechnical variables is to be direction-dependent, i.e., the measurement of a core sample not only depends on the in-situ position of this sample but also on its in-situ orientation. To account for this characteristic, it is proposed to regionalize such variables in a five-dimensional space corresponding to the product on the three-dimensional geographical space and the two-dimensional sphere, so that each measurement is indexed by its easting, northing, elevation, azimuth, and dip. Instead of making predictions and simulations conditioned to a particular direction, this new paradigm allows geotechnical variables to be interpolated at any place in the geographic space, for any direction. The spatial correlation structure can be inferred and modeled by using separable covariances or combinations of separable covariances, under an assumption of stationarity in the geographical space and isotropy on the sphere. Also, conditional simulation can be performed by turning bands, based on products of stationary random fields in the geographic space and isotropic random fields on the sphere. The proposed methodology is illustrated with the modeling of the linear discontinuity frequency (P10), the rock quality designation (RQD), and Slope Mass Rating (SMR) in three mineral deposits
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.
Full textMoon, 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.
Full textSource: 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.
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.
Full textSebastian, Resmi. "Elastic Wave Propagation and Evaluation of Low Strain Dynamic Properties in Jointed Rocks." Thesis, 2015. http://etd.iisc.ernet.in/2005/3653.
Full textCameron-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.
Full textLiu, 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.
Full text臺灣大學
流行病學研究所
98
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 0.58(95%CI: 0.55-0.60) and sensitivity of 0.66 (95%CI: 0.64- 0.69) at cut-off point BMD T score≦-2SD.To predict individual accuracy of QUS tool we used regression model to analysis, dichotomous BMD value as dependent variable and risk factors based on FRAX which to be age、gender、BMI above or below 25、milk intake three days or more per week、coffee intake three days or more per week、before or after menopause as independent variables. ROC curve is to analysis the accuracy at possible cut-off point, and AUC range 0.59-0.71 at different population under binormal distribution. After modeling the effect of covariate on test result, we developed the predictive test result of individual and build individual ROC curve at each possible cut-off point of QUS tool. Take individual information in to consideration would elevate the accuracy of QUS tool. Estimated the performance by regression model had AUC 0.81, this result performs similarly well as the simulation result which to be 0.79 in previous study. In this, we develop QUS tool to become a more accurate screening tool in BMD screening.