7341

6844

كارشناسي ارشد

مكانيك سنگ

اصفهان: دانشگاه صنعتي اصفهان، دانشكده معدن

1391

هشت، 100ص.: مصور، جدول، نمودار

ص.ع. به فارسي و انگليسي

عليرضا باغبانان، راحب باقرپور

مرتضي رحيمي، حميد هاشم الحسيني

11/9/91

مسعود چراغي مهدي ابطحي

1396/09/21

كتابنامه

معدن

مهندسي معدن

ID6844

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

112Prediction Model for Estimating the Groutability Index of Jointed Rock Mass Soheil Mohajerani s mohajerani@iut mi ac ir Date of Submission 29 9 2012 Department of Mining engineering Isfahan University of Technology Isfahan 84156 83111 IranDegree M Sc Language FarsiSupervisor Alireza Baghbanan bagh110@cc iut ac irSupervisor Raheb Bagherpour bagherpour@cc iut ac irAbstractOne of the ways used to seal and robust rock foundations is injection slurriesinto joints and cracks Groutability is very difficult to predict and for thispurpose engineers usually use trial and error method that will increase the costof projects In this study a new method for modeling the grouting jointed rockmass is designed using an explicit algorithm and basis on grouting pressureforehead in discrete fractured network DFN and then in a Computer softwarehas been developed to groutiut2d Groutiut2d including getting inputparameters calculation and graphical output which shows grout propagationsurface and its area In this study mentioned software to conduct sensitivityanalysis were tested with Monte Carlo method in a total of 400 samples And itsresults was moved to a artificial neural network ANN ANN results werepresented in form of graphs According to these results in overall increasingpressure time and density and viscosity reduction increase the surface area ofgrout propagation in jointed rock mass Keywords 1 GroutIUT2D 2 Discrete Fracture Network 3 Groutability 4 Artificial Natural Network

عليرضا باغبانان، راحب باقرپور

مرتضي رحيمي، حميد هاشم الحسيني

مسعود چراغي مهدي ابطحي