Select Statistics > Water Table > Draw Max Water Table.

We will first specify the Maximum Water Table level and then the Minimum Water Table locations in the model. We will now draw the Minimum and Maximum Water Table Levels for the model using coordinates. The Normalized Mean value is always between 0 and 1.

We will not change the default Normalized Mean of 0.5.

Select Statistics > Water Table > Statistical Properties to open the Water Table Statistics dialog.

A value of 0.5 indicates a Mean Water Table that is exactly halfway between the Minimum and Maximum levels. To calculate the Mean Water Table, we must specify a Normalized Mean parameter, which will be used to calculate the Mean Water Table boundary.

This random variable is then used to generate Water Table elevations that lie between the Minimum and Maximum boundaries. The program generates a single random variable (a Normalized Elevation ranging between 0 and 1) according to statistical parameters entered in the Water Table Statisticsĭialog. In Slide2, the Minimum and Maximum locations of a Water Table can be specified on a model by drawing these boundaries or specifying their coordinates using the Prompt line. We will also consider the sensitivity of the water table location. Or Cancel to accept the current values and close the dialog. Only the mean, minimum and maximum values are needed for the Sensitivity Analysis. The variables defined for the Probabilistic Analysis in Tutorial 08 are still displayed in the Material Statistics dialog.īecause we are only considering a Sensitivity Analysis, the statistical distribution and standard deviation are no longer displayed in the dialog. Select Statistics > Materials to open the Material Statistics dialog.Only a Minimum and Maximum value are required for each variable, and no Statistical Distribution or Standard Deviation is required.However, note that for Sensitivity Analysis: The procedure for selecting and defining Random Variables for a Sensitivity Analysis is the same as that for Probabilistic Analysis. 3.0 Sensitivity Variables: Material Properties We discuss this capability at the end of this tutorial (see section 6.0). You can perform both a Sensitivity Analysis and a Probabilistic Analysis simultaneously, using the same variables. 29 - Generalized Anisotropy – Exporting from Slide3 to Slide2.28 - Using RSLog Cross Sections in Slide2.27 - Damage Regions (Generalized Hoek-Brown).

26 - Analysis of Embankment using multi-modal optimization (MMO).

25 - Seismic Analysis with Newmark Method.

24 - FOS for Geosynthetic Reinforced Retaining Wall.

19 - Back Analysis of Material Properties.

16 - Handling Tension in Limit Equalibrium.

11 - Probabilistic analysis with random shear strength (COV).

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