Synthesis - summary -complete formula

·        Soil classification

·        RQD

·        RMR

·        UCS test

·        SURFACE - EXCAVATION. LOADING AND CASTING UNITS

·        Excavation methods

·        Underground mining Methods

·        Shaft location

·        Wast support method

·        Production (m3)

·        Cycle time

·        Principal Stresses

·        Mohr's circle of stress Derivation

·        Estimating horizontal in situ stress
Vertical compression- assumptions

·        Stress magnitude and rock cracking around excavations

·        Principal stress directions

·        Initia σ  and their measurements-Hydraulic fracturing

And more….

 

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Kriging (Free Application)

In statistics, originally in geostatistics, kriging or Gaussian process regression is a method of interpolation for which the interpolated values are modeled by a Gaussian process governed by prior covariances, as opposed to a piecewise-polynomial spline chosen to optimize smoothness of the fitted values. Under suitable assumptions on the priors, kriging gives the best linear unbiased prediction of the intermediate values. Interpolating methods based on other criteria such as smoothness need not yield the most likely intermediate values. The method is widely used in the domain of spatial analysis and computer experiments. The technique is also known as Wiener–Kolmogorov prediction, after Norbert Wiener and Andrey Kolmogorov.
source: wikipedia

Download this free application 

From here: https://easy4downloader.blogspot.com/2019/09/kriging-application.html

How to download and source : https://hellomining2.blogspot.com/2017/08/kriging-application.html

Design of open pit mining - Article

Many factors govern the size and shape of an open pit.

These must be properly understood and used in the planning of any open pit operation.

The following are the key items affecting the pit design:

1) Topography,

2) Geology,

3) Grade,

4) Localization of the mineralization,

5) Extent of the deposit,

6) Property boundaries,

7) Production rates,

8) Road grades,

9) Mining costs,

10) Processing costs,

11) Metal recovery,

12) Marketing considerations,

13) Bench height,

14) Pit slopes,

15) Cutoff grade,

16) Strip Ratios (SR)
source: Prof. Dr. H.Z. Harraz

 

From here: https://easy4downloader.blogspot.com/2019/09/design-of-open-pit-mining.html

How to download & Source: https://hellomining2.blogspot.com/2019/09/design-of-open-pit-mining.html

Floating Cone Algorithm with A concrete mining example

Economic factors such as costs and expected revenues, which vary with grade and block location, are then applied; the result is an economic block model. Some of the blocks in the model will eventually fall within the pit, but others will lie outside. Of the several techniques for determining which of the blocks should be included in the final pit, the most common is the floating cone technique. In two dimensions the removal of a given ore block would require the removal of a set of overlying blocks as well. All of these would be included in an inverted triangle with its sides corresponding to the slope angle, its base lying on the surface, and its apex located in the ore block under consideration. In an actual three-dimensional case, this triangle would be a cone. The economic value of the ore block at the apex of the cone would be compared with the total cost of removing all of the blocks included in the cone. If the net value proved positive, then the cone would be mined. This technique would be applied to all of the blocks making up the block model, and at the end of this process a final pit outline would result.
 Source: ENCYCLOPÆDIA BRITANNICA

In this poste  we diccover Floating Cone Algorthm in Article 1, and we take A concrete mining example in Article 2

From Here: https://easy4downloader.blogspot.com/2019/09/floating-cone-algorithm-with-concrete.html

How to download &Source:  https://hellomining2.blogspot.com/2019/09/floating-cone-algorthm-with-concrete.html