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CPillar

CPillar

CPillar is a quick, interactive, and easy-to-use analysis tool for evaluating the stability of surface or underground crown pillars, and laminated roof beds.

CPillar

Applications

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CPillar is a quick and easy-to-use tool for evaluating the stability of surface or underground crown pillars, and laminated roof beds.

CPillar offers three different limit equilibrium analysis methods: rigid plate analysis; elastic plate analysis; and Voussoir (no tension) plate analysis.

Additionally, users can choose between a Deterministic or Probabilistic analysis. Probabilistic analysis allows you to define statistical distributions of input data and calculate probability of failure. Furthermore, sensitivity analysis allows you to determine the effect of individual variables on safety factor.

Software Screenshots

CPillar Figure 1: Crown pillar with overburden.
CPillar Figure 1: Crown pillar with overburden.
CPillar Figure 1: Crown pillar with overburden.
CPillar Figure 2: Probabilistic analysis in CPillar.
CPillar Figure 2: Probabilistic analysis in CPillar.
CPillar Figure 2: Probabilistic analysis in CPillar.
CPillar Figure 3: Crown pillar with water.
CPillar Figure 3: Crown pillar with water.
CPillar Figure 3: Crown pillar with water.
CPillar Figure 4: Empirical Scaled Span Design Method (Carter 1992, 2014)
CPillar Figure 4: Empirical Scaled Span Design Method (Carter 1992, 2014)
CPillar Figure 4: Empirical Scaled Span Design Method (Carter 1992, 2014)
CPillar Figure 1: Crown pillar with overburden. CPillar Figure 1: Crown pillar with overburden. CPillar Figure 2: Probabilistic analysis in CPillar. CPillar Figure 2: Probabilistic analysis in CPillar. CPillar Figure 3: Crown pillar with water. CPillar Figure 3: Crown pillar with water. CPillar Figure 4: Empirical Scaled Span Design Method (Carter 1992, 2014) CPillar Figure 4: Empirical Scaled Span Design Method (Carter 1992, 2014)

Applications

Product Highlights

  • What’s New in CPillar v4.0
  • Probabilistic Analysis
  • Failure Modes
  • Geometry Definition

What’s New in CPillar v4.0

Some of the features available in CPillar v4.0 include:

Probabilistic Analysis

  • Monte Carlo or Latin Hypercube probabilistic analysis
  • Statistical distributions - normal, uniform, lognormal, triangular, beta, exponential, gamma

New material models

  • Generalized Hoek-Brown (GSI, mi, D)
  • Generalized Hoek-Brown (mb, s, a)

Empirical Design

Probabilistic Analysis

In a Probabilistic Analysis, statistical information can be entered to account for uncertainty in pillar dimensions, lateral stress type, and other parameters. This results in a safety factor distribution for the pillar from which a probability of failure (PF) is calculated.

The general procedure for carrying out a Probabilistic Analysis with CPillar is as follows.

Sampling Options

In the Project Settings dialog you can choose the Sampling Method and Number of Samples.

Defining Random Variables

In order to carry out a Probabilistic Analysis, you must define one or more input parameters (e.g. pillar length, pillar width) as random variables, by assigning statistical distributions to the desired variables and entering the required statistical parameters (e.g. mean, standard deviation).

Compute

If the Autocompute option is turned on, then the Probabilistic Analysis is computed when you change the input data.

Analysis Results

After the analysis is computed, the probability of failure will be displayed in the Results section of the Sidebar display. Detailed results are reported in the Info Viewer. Probabilistic input and output data can be plotted on Histogram plots, Scatter plots, etc. Data can also be exported for further analysis and processing.

Failure Modes

There are three analysis options available in CPillar: Rigid, Elastic, and Voussoir.

Rigid Analysis

  • Shear (vertical slippage at abutments)

Elastic Analysis

  • Shear (vertical slippage at abutments)
  • Elastic buckling

Voussoir Analysis

  • Shear (vertical slippage at abutments)
  • Arch snap-thru (buckling due to gravity)
  • Localized crushing failure

Geometry Definition

A pillar is defined by its length, width, and thickness (height), or x, y, and z values. These are the first 3 items entered in the Geometry section of the Pillar Information for all three analysis methods. (Depending on the relative magnitudes of x, y, and z, the term pillar, beam, or plate may be most applicable.

In addition, a thickness of overburden can be added above the pillar.

Finally, if the height of water is greater than the (pillar + overburden) thickness, the difference will appear as free water above the pillar.

Getting Support
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