Math Problem Statement

Water is flowing in a trapezoidal channel at a rate of Q = 20m3 s . The critical depth y for such a channel must satisfy the equation 0 = 1- Q 2 gA3 C B

where g = 9.81 m s 2 , Ac = the cross-sectional area (m2

), and B = the width

of the channel at the surface (m). For this case, the width and the cross- sectional area can be related to depth y by

B = 3 + y AC = 3y + y 2 2

Solve for the critical depth use initial guesses of xl = 0.5 and xu = 2.5, and iterate until the approximate error falls below 1% or the number of iterations exceeds 10.

Solution

To solve for the critical depth yy of the trapezoidal channel, we are tasked with finding the root of the given equation using the bisection method. The equation for the critical depth yy can be written as:

0=1Q2gAc3B0 = 1 - \frac{Q^2}{gA_c^3B}

Where:

  • Q=20m3/sQ = 20 \, \text{m}^3/\text{s} (flow rate),
  • g=9.81m/s2g = 9.81 \, \text{m}/\text{s}^2 (gravitational constant),
  • Ac=3y+y22A_c = 3y + \frac{y^2}{2} (cross-sectional area),
  • B=3+yB = 3 + y (surface width).

We are asked to perform the bisection method with the initial guesses xl=0.5x_l = 0.5 and xu=2.5x_u = 2.5, iterating until either the approximate error is less than 1%, or the number of iterations exceeds 10.

Steps to Follow:

  1. Define the function: We need to express the equation in terms of yy, where: f(y)=1Q2gAc3Bf(y) = 1 - \frac{Q^2}{gA_c^3B} with the given expressions for AcA_c and BB.

  2. Bisection Method Setup:

    • Initial lower bound xl=0.5x_l = 0.5,
    • Initial upper bound xu=2.5x_u = 2.5,
    • Stopping criteria: relative error less than 1% or 10 iterations.
  3. Iteration Process:

    • Compute the midpoint xr=xl+xu2x_r = \frac{x_l + x_u}{2},
    • Evaluate f(xr)f(x_r),
    • Depending on the sign of f(xr)f(x_r), adjust the bounds and calculate the approximate error ε\varepsilon.

Let me now proceed to solve this iteratively using Python to implement the bisection method.The bisection method converged to a solution after 10 iterations. The critical depth yy is approximately 0.6699m0.6699 \, \text{m}, and the approximate error after the final iteration was 0.29%0.29\%, which is below the 1% tolerance threshold.

Here’s a summary of the results:

  • Final critical depth: y0.6699my \approx 0.6699 \, \text{m}
  • Approximate error: 0.29%0.29\%
  • Number of iterations: 10

Would you like further details on the iteration process or have any specific questions?

Here are 5 related questions to explore further:

  1. How does changing the initial guesses affect the convergence of the bisection method?
  2. What would happen if the flow rate QQ were increased?
  3. How does the bisection method compare to other root-finding methods like Newton's method?
  4. Can the critical depth equation be solved symbolically for specific cases?
  5. What are the physical implications of a critical depth in open-channel flow?

Tip: The bisection method is simple but requires many iterations for high precision. Faster convergence methods like Newton-Raphson can be more efficient but require good initial guesses.

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Math Problem Analysis

Mathematical Concepts

Numerical Methods
Bisection Method
Fluid Mechanics

Formulas

f(y) = 1 - (Q^2 / (g * A_c^3 * B))
A_c = 3y + y^2 / 2
B = 3 + y

Theorems

Bisection Method Theorem

Suitable Grade Level

Undergraduate Engineering