Pillar Design

The Safety Factor (SF) is the pillar strength divided by the pillar load.
Safety Factor = Pillar Strength / Pillar Load

SF=Sp/δp                   

Pillar Strength – is a function of both a size effect and a shape effect.
1. Size Effect
2. Shape Effect
Size Effect – The average strength decreases as specimen size increases. ....

Mine planning and design (Yangon Technological University)

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Unit 14-Underground mining methods 

 

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Synthesis - summary -complete formula

summary complete formula

Extraction of Resources (Technische Universiteit Delft)

·        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

·        Initial σ  and their measurements-Hydraulic fracturing

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Conceptual mine planning

Mine planning and design

From Yangon  Technologcal University

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3-D Structural Geology: A Practical Guide to Quantitative Surface and Subsurface Map

The book includes new material, in particular examples of 3-D models and techniques for using kinematic models to predict fault and ramp-anticline geometry. The book is geared toward the professional user concerned about the accuracy of an interpretation and the speed with which it can be obtained from incomplete data. Numerous analytical solutions are given that can be easily implemented with a pocket calculator or a spreadsheet.

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Surface Mining Machines: Problems of Maintenance and Modernization

1st ed. 2017 Edition

      This unique volume imparts practical information on the operation, maintenance, and modernization of heavy performance machines such as lignite mine machines, bucket wheel excavators, and spreaders. Problems of large scale machines (mega machines) are highly specific and not well recognized in the common mechanical engineering environment. Prof. Rusiński and his co-authors identify solutions that increase the durability of these machines as well as discuss methods of failure analysis and technical condition assessment procedures. "Surface Mining Machines: Problems in Maintenance and Modernization" stands as a much-needed guidebook for engineers facing the particular challenges of heavy performance machines and offers a distinct and interesting demonstration of scale-up issues for researchers and scientists from across the fields of machine design and mechanical engineering.

 

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Kriging 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

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