Dissertationen zum Thema „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.
Der volle Inhalt der QuelleEksi, 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.
Der volle Inhalt der QuelleChester, 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.
Der volle Inhalt der QuelleIsmail, 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.
Der volle Inhalt der QuellePoluga, 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.
Der volle Inhalt der QuelleChang, 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.
Der volle Inhalt der QuelleBryan-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.
Der volle Inhalt der QuelleClark, 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.
Der volle Inhalt der QuelleElkarmoty, 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.
Der volle Inhalt der QuelleTranel, 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.
Der volle Inhalt der QuellePh. 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.
Der volle Inhalt der QuelleElmo, 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.
Der volle Inhalt der QuelleSanchez, 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.
Der volle Inhalt der QuelleTogether 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.
Der volle Inhalt der QuelleMoon, 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.
Der volle Inhalt der QuelleSource: 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.
Der volle Inhalt der QuelleSebastian, Resmi. „Elastic Wave Propagation and Evaluation of Low Strain Dynamic Properties in Jointed Rocks“. Thesis, 2015. http://etd.iisc.ernet.in/2005/3653.
Der volle Inhalt der QuelleCameron-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.
Der volle Inhalt der QuelleLiu, Hsing-Chih, und 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.
Der volle Inhalt der Quelle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.