Step 1: Recall Mohr-Coulomb criterion.
Shear strength of rock:
\[
\tau = c + \sigma \tan \phi
\]
where \(c\) = cohesion, \(\phi\) = angle of internal friction.
Step 2: Relation between uniaxial compressive strength (UCS) and cohesion.
For uniaxial compression test:
\[
\sigma_3 = 0, \quad \sigma_1 = \text{UCS}
\]
The relation is:
\[
\sigma_1 = \frac{2c \cos \phi}{1 - \sin \phi}
\]
Step 3: Substitute values.
Given: \(\sigma_1 = 7 \, \text{MPa}, \, \phi = 30^\circ\).
\[
7 = \frac{2c \cos 30^\circ}{1 - \sin 30^\circ}
\]
Step 4: Simplify.
\[
\cos 30^\circ = \frac{\sqrt{3}}{2}, \quad \sin 30^\circ = \frac{1}{2}
\]
\[
7 = \frac{2c \cdot (\sqrt{3}/2)}{1 - 1/2}
\]
\[
7 = \frac{c \sqrt{3}}{0.5}
\]
\[
7 = 2c \sqrt{3}
\]
Step 5: Solve for \(c\).
\[
c = \frac{7}{2 \sqrt{3}} = \frac{7}{3.464} \approx 2.02 \, \text{MPa}
\]
Final Answer: \[ \boxed{2.02 \, \text{MPa}} \]
While doing Bayesian inference, consider estimating the posterior distribution of the model parameter (m), given data (d). Assume that Prior and Likelihood are proportional to Gaussian functions given by \[ {Prior} \propto \exp(-0.5(m - 1)^2) \] \[ {Likelihood} \propto \exp(-0.5(m - 3)^2) \] 
The mean of the posterior distribution is (Answer in integer)
Consider a medium of uniform resistivity with a pair of source and sink electrodes separated by a distance \( L \), as shown in the figure. The fraction of the input current \( (I) \) that flows horizontally \( (I_x) \) across the median plane between depths \( z_1 = \frac{L}{2} \) and \( z_2 = \frac{L\sqrt{3}}{2} \), is given by \( \frac{I_x}{I} = \frac{L}{\pi} \int_{z_1}^{z_2} \frac{dz}{(L^2/4 + z^2)} \). The value of \( \frac{I_x}{I} \) is equal to 
Suppose a mountain at location A is in isostatic equilibrium with a column at location B, which is at sea-level, as shown in the figure. The height of the mountain is 4 km and the thickness of the crust at B is 1 km. Given that the densities of crust and mantle are 2700 kg/m\(^3\) and 3300 kg/m\(^3\), respectively, the thickness of the mountain root (r1) is km. (Answer in integer)