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This section includes 9 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. |
I am using forward differences in the predictor step. Which method would you suggest me to use in the corrector step? |
A. | Rearward differences |
B. | Central differences |
C. | Forward differences |
D. | Second-order differences |
Answer» B. Central differences | |
2. |
Which of these values used to find (( frac{ partial rho}{ partial t})_{i,j}^{av} ) is a predicted one? |
A. | (( frac{ partial rho}{ partial t})_{i,j}^t ) |
B. | Neither (( frac{ partial rho}{ partial t})_{i,j}^t nor ( frac{ partial rho}{ partial t})_{i,j}^{t+ Delta t} ) |
C. | (( frac{ partial rho}{ partial t})_{i,j}^{t+ Delta t} ) |
D. | Both (( frac{ partial rho}{ partial t})_{i,j}^t and ( frac{ partial rho}{ partial t})_{i,j}^{t+ Delta t} ) |
Answer» D. Both (( frac{ partial rho}{ partial t})_{i,j}^t and ( frac{ partial rho}{ partial t})_{i,j}^{t+ Delta t} ) | |
3. |
Which value is predicted in the predictor step of the MacCormack s technique? |
A. | Variable at the average time-step |
B. | Variable at the upcoming time-step |
C. | Time derivative of the variable at the upcoming time-step |
D. | Time derivative of the variable at the average time-step |
Answer» C. Time derivative of the variable at the upcoming time-step | |
4. |
How is the value (( frac{ partial rho}{ partial t})_{i,j}^{av} ) obtained in the MacCormack s expansion to find ( rho_{i,j}^{t+ Delta t} )? |
A. | Truncated mean of (( frac{ partial rho}{ partial t})_{i,j}^t and ( frac{ partial rho}{ partial t})_{i,j}^{t+ Delta t} ) |
B. | Weighted average of (( frac{ partial rho}{ partial t})_{i,j}^t and ( frac{ partial rho}{ partial t})_{i,j}^{t+ Delta t} ) |
C. | Geometric mean of (( frac{ partial rho}{ partial t})_{i,j}^t and ( frac{ partial rho}{ partial t})_{i,j}^{t+ Delta t} ) |
D. | Arithmetic mean of (( frac{ partial rho}{ partial t})_{i,j}^t and ( frac{ partial rho}{ partial t})_{i,j}^{t+ Delta t} ) |
Answer» E. | |
5. |
Which of these methods is used for finding the average time derivative in MacCormack s technique? |
A. | Trial and error method |
B. | Predictor-corrector method |
C. | Genetic algorithm |
D. | Relaxation method |
Answer» C. Genetic algorithm | |
6. |
Which of these terms of the Taylor series expansion is used in the MacCormack s technique? |
A. | ( t)<sup>1</sup> and ( t)<sup>2</sup> |
B. | ( t)<sup>1</sup> |
C. | ( t)<sup>0</sup> and ( t)<sup>1</sup> |
D. | ( t)<sup>0</sup> |
Answer» D. ( t)<sup>0</sup> | |
7. |
What is the order of accuracy of the MacCormack s technique? |
A. | Fourth-order |
B. | Third-order |
C. | First-order |
D. | Second-order |
Answer» E. | |
8. |
Which series expansion is used by the MacCormack s technique? |
A. | Taylor Series |
B. | Fourier series |
C. | McLaurin series |
D. | Laurent series |
Answer» B. Fourier series | |
9. |
MacCormack s technique is __________ |
A. | explicit, finite-difference method |
B. | implicit, finite-difference method |
C. | explicit, finite volume method |
D. | implicit, finite volume method |
Answer» B. implicit, finite-difference method | |