The maximum flexural stress \( \sigma_{\text{max}} \) in a beam is given by the formula: \[ \sigma_{\text{max}} = \frac{M_{\text{max}} \cdot y}{I} \] where:
- \( M_{\text{max}} \) is the maximum bending moment,
- \( y \) is the distance from the neutral axis to the outermost fiber,
- \( I \) is the moment of inertia of the beam's cross-section.
For a beam subjected to a central load \( W \), the maximum bending moment is: \[ M_{\text{max}} = \frac{W \cdot l}{4} \] where \( l \) is the span of the beam.
Now, let's calculate the moment of inertia for the two beams:
1. For beam \( B_1 \), with a cross-section of \( 1 \times 1 \) units, the moment of inertia is: \[ I_1 = \frac{1 \times 1^3}{12} = \frac{1}{12} \] 2. For beam \( B_2 \), with a cross-section of \( 2 \times 2 \) units, the moment of inertia is: \[ I_2 = \frac{2 \times 2^3}{12} = \frac{16}{12} = \frac{4}{3} \] Next, the maximum flexural stress for each beam is given by: \[ \sigma_{\text{max},1} = \frac{M_1 \cdot y_1}{I_1} = \frac{\frac{W \cdot l}{4} \cdot \frac{1}{2}}{\frac{1}{12}} = \frac{W \cdot l}{4} \cdot 6 = \frac{6 W l}{4} \] \[ \sigma_{\text{max},2} = \frac{M_2 \cdot y_2}{I_2} = \frac{\frac{W \cdot 2l}{4} \cdot \frac{2}{2}}{\frac{4}{3}} = \frac{W \cdot 2l}{4} \cdot \frac{3}{4} = \frac{3 W l}{8} \] The ratio of the maximum flexural stresses in the two beams is: \[ \frac{\sigma_{\text{max},1}}{\sigma_{\text{max},2}} = \frac{\frac{6 W l}{4}}{\frac{3 W l}{8}} = 4 \] Thus, the ratio of the maximum flexural stress in these beams is 4.
Let a random variable \( X \) follow Poisson distribution such that \( P(X = 0) = 2P(X = 1) \). Then, P(X = 3) = ______
The probability distribution of a random variable \( X \) is given as follows. Then, \( P(X = 50) - \frac{P(X \leq 30)}{P(X \geq 20)} \) =