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This section includes 10 Mcqs, each offering curated multiple-choice questions to sharpen your Computational Fluid Dynamics knowledge and support exam preparation. Choose a topic below to get started.
1. |
Order of accuracy m means _____________ |
A. | as the grid size is reduced, the approximations converge to the exact solution with an error proportional to m powers of the grid size |
B. | as the grid size is reduced, the approximations converge to the exact solution with an error proportional to m times of the grid size |
C. | as the grid size is reduced, the approximations diverge from the exact solution with an error proportional to m powers of the grid size |
D. | as the grid size is reduced, the approximations diverge from the exact solution with an error proportional to m times of the grid size |
Answer» B. as the grid size is reduced, the approximations converge to the exact solution with an error proportional to m times of the grid size | |
2. |
What is the least order of accuracy for the second derivatives? |
A. | first-order |
B. | third-order |
C. | fourth-order |
D. | second-order |
Answer» E. | |
3. |
Find \(\frac{\partial u}{\partial r}\) at point 1 using forward difference method. |
A. | 1000 |
B. | 100 |
C. | 500 |
D. | 5000 |
Answer» B. 100 | |
4. |
What is the order of the central difference for the mixed derivative \(\frac{\partial^2 u}{\partial x\partial y}\) while approximated using the Taylor series expansion? |
A. | 1 |
B. | 2 |
C. | 3 |
D. | 4 |
Answer» C. 3 | |
5. |
Find the central second difference of u in y-direction using the Taylor series expansion. |
A. | \(\frac{u_{i,j+1}+2u_{i,j}+u_{i,j-1}}{(\Delta y)^2}\) |
B. | \(\frac{u_{i,j+1}-2u_{i,j}+u_{i,j-1}}{(\Delta y)^2}\) |
C. | \(\frac{u_{i,j+1}-2u_{i,j}-u_{i,j-1}}{(\Delta y)^2}\) |
D. | \(\frac{u_{i,j+1}+2u_{i,j}-u_{i,j-1}}{(\Delta y)^2}\) |
Answer» C. \(\frac{u_{i,j+1}-2u_{i,j}-u_{i,j-1}}{(\Delta y)^2}\) | |
6. |
Using the Taylor series expansion, What is the first term of the truncation error of the finite difference equation \((\frac{\partial u}{\partial x})_{i,j}=\frac{u_{i+1,j}-u_{i,j}}{\Delta y}\)? |
A. | \(-(\frac{\partial^2 u}{\partial x^2})_{i,j}\frac{\Delta x}{2}\) |
B. | \((\frac{\partial^2 u}{\partial x^2})_{i,j}\frac{\Delta x}{3}\) |
C. | \(-(\frac{\partial^2 u}{\partial x^2})_{i,j}\frac{\Delta x}{3}\) |
D. | \((\frac{\partial^2 u}{\partial x^2})_{i,j}\frac{\Delta x}{2}\) |
Answer» B. \((\frac{\partial^2 u}{\partial x^2})_{i,j}\frac{\Delta x}{3}\) | |
7. |
Find the first-order forward difference approximation of \((\frac{\partial u}{\partial x})_{i,j}\) using the Taylor series expansion. |
A. | \(\frac{u_{i,j+1}-u_{i,j}}{2 \Delta x}\) |
B. | \(\frac{u_{i+1,j}-u_{i,j}}{2 \Delta x}\) |
C. | \(\frac{u_{i,j+1}-u_{i,j}}{\Delta x}\) |
D. | \(\frac{u_{i+1,j}-u_{i,j}}{\Delta x}\) |
Answer» E. | |
8. |
Find the second-order accurate finite difference approximation of the first derivative of the velocity component (u) in the x-direction using the Taylor series expansion. (Note: i and j are in the x and y-direction respectively). |
A. | \(\frac{u_{i,j+1}-u_{i,j-1}}{\Delta x}\) |
B. | \(\frac{u_{i+1,j}-u_{i-1,j}}{\Delta x}\) |
C. | \(\frac{u_{i+1,j}-u_{i-1,j}}{2\Delta x}\) |
D. | \(\frac{u_{i,j+1}-u_{i,j-1}}{2\Delta x}\) |
Answer» D. \(\frac{u_{i,j+1}-u_{i,j-1}}{2\Delta x}\) | |
9. |
Consider the equation \((\frac{\partial u}{\partial y})_{i,j}=(\frac{u_{i,j}-u_{i,j-1}}{\Delta y})\) formulated using the Taylor series expansion. Find the type of equation. |
A. | first-order forward difference |
B. | first-order rearward difference |
C. | second-order forward difference |
D. | second-order rearward difference |
Answer» C. second-order forward difference | |
10. |
The truncation error in a finite difference expansion is \(-(\frac{\partial^2 u}{\partial x^2})_{i,j} \frac{\Delta x}{2}-(\frac{\partial^3 u}{\partial x^3})_{i,j} \frac{(\Delta x)^3}{6}\). What is the order of accuracy of the finite difference equation? |
A. | 1 |
B. | 2 |
C. | -2 |
D. | -1 |
Answer» B. 2 | |