The heat equation aT at a²T ax² governs the time-dependent temperature distribution in a homogeneous constant property solid under conditions where the temperature varies only in one space dimension. Physically, this may be nearly realized in a long thin rod or very large (infinite) wall of finite thickness. Consider a large wall of thickness L whose initial temperature is given by T(t, x) = c sin îx/L. If the faces of the wall continue to be held at 0°, then a solution for the temperature at t > 0, 0≤x≤ Lis T(1.x) = cexp{- -cur²r) sin ( 7 ) n+1 For this problem, let c = 100°C, L = 1 m, a = 0.02 m²/h. We will consider two explicit methods of solution: A. Simple explicit method, Equation 4.73. Stability requires that aA/(Ax)² = for this method. B. ADE method, Equation 4.107. This particular version of the ADE method was suggested by Barakat and Clark (1966). In this algorithm, the equation for pi* can be solved explicitly starting from the boundary at x = 0, whereas the equation for q*¹ should be solved starting at the boundary at x = L. There is no stability constraint on the size of the time step for this method. Develop computer programs to solve the problem described previously by methods A and B. Also, you are to provide a capability for evaluating the exact solution for purposes of comparison. Make at least the following comparisons: 1. For Ax = 0.1, At = 0.1 [resulting in a^t/(Ax)² = 0.2], compare the results from methods A and B and the exact solution for t= 10h. A graphical comparison is suggested. 2. Repeat the aforementioned comparison after refining the space grid, that is, let Ax = 0.066667 (15 increments). Is the reduction in error as suggested by O[(Ax)2]? 3. For Ax = 0.1, choose At such that a^t/(Ax)2 = 0.5 and compare the predictions of methods A and B and the exact solution for t= 10h. 4. Demonstrate that method A does become unstable as aAt/(Ax)² exceeds 0.5. One suggestion is to plot the centerline temperature versus time for at/(Ax)²~0.6 for 10-20h of problem time. 5. For Ax = 0.1, choose At such that aAt/(Ax)² = 1.0 and compare the results of method B and the exact solution for t= 10 h. 6. Increment a^t/(Ax)² to 2, then 3, etc., and repeat comparison 5 mentioned earlier until the agreement with the exact solution becomes noticeably poor.
The heat equation aT at a²T ax² governs the time-dependent temperature distribution in a homogeneous constant property solid under conditions where the temperature varies only in one space dimension. Physically, this may be nearly realized in a long thin rod or very large (infinite) wall of finite thickness. Consider a large wall of thickness L whose initial temperature is given by T(t, x) = c sin îx/L. If the faces of the wall continue to be held at 0°, then a solution for the temperature at t > 0, 0≤x≤ Lis T(1.x) = cexp{- -cur²r) sin ( 7 ) n+1 For this problem, let c = 100°C, L = 1 m, a = 0.02 m²/h. We will consider two explicit methods of solution: A. Simple explicit method, Equation 4.73. Stability requires that aA/(Ax)² = for this method. B. ADE method, Equation 4.107. This particular version of the ADE method was suggested by Barakat and Clark (1966). In this algorithm, the equation for pi* can be solved explicitly starting from the boundary at x = 0, whereas the equation for q*¹ should be solved starting at the boundary at x = L. There is no stability constraint on the size of the time step for this method. Develop computer programs to solve the problem described previously by methods A and B. Also, you are to provide a capability for evaluating the exact solution for purposes of comparison. Make at least the following comparisons: 1. For Ax = 0.1, At = 0.1 [resulting in a^t/(Ax)² = 0.2], compare the results from methods A and B and the exact solution for t= 10h. A graphical comparison is suggested. 2. Repeat the aforementioned comparison after refining the space grid, that is, let Ax = 0.066667 (15 increments). Is the reduction in error as suggested by O[(Ax)2]? 3. For Ax = 0.1, choose At such that a^t/(Ax)2 = 0.5 and compare the predictions of methods A and B and the exact solution for t= 10h. 4. Demonstrate that method A does become unstable as aAt/(Ax)² exceeds 0.5. One suggestion is to plot the centerline temperature versus time for at/(Ax)²~0.6 for 10-20h of problem time. 5. For Ax = 0.1, choose At such that aAt/(Ax)² = 1.0 and compare the results of method B and the exact solution for t= 10 h. 6. Increment a^t/(Ax)² to 2, then 3, etc., and repeat comparison 5 mentioned earlier until the agreement with the exact solution becomes noticeably poor.
Elements Of Electromagnetics
7th Edition
ISBN:9780190698614
Author:Sadiku, Matthew N. O.
Publisher:Sadiku, Matthew N. O.
ChapterMA: Math Assessment
Section: Chapter Questions
Problem 1.1MA
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Question
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
Transcribed Image Text:The following explicit one-step method,
u-u
At
P - P
ΔΙ
n+1
Another ADE method was proposed by Barakat and Clark (1966). In this method, the calculation
procedure is simultaneously "marched" in both directions, and the resulting solutions (p+¹ and q+¹)
are averaged to obtain the final value of u"+¹:
- q
= a
At
= α
u+1-2u+ u-1
(Ax)²
= a
P-P-P+P+1
(Ax)²
n+1
9-1-9-9 +9j+1
(Ax)²
(4.73)
= 1/² (P²*¹ + 9²¹)
(4.107)
![The heat equation
ƏT
at
a²T
əx²
governs the time-dependent temperature distribution in a homogeneous constant property
solid under conditions where the temperature varies only in one space dimension. Physically,
this may be nearly realized in a long thin rod or very large (infinite) wall of finite thickness.
Consider a large wall of thickness L whose initial temperature is given by T(t, x) = c sinx/L.
If the faces of the wall continue to be held at 0°, then a solution for the temperature at t > 0,
0≤x≤ Lis
T(t, x)= cexpi
-απ’)
Ľ²
sin
TX
L
For this problem, let c = 100°C, L = 1 m, α = 0.02 m²/h. We will consider two explicit methods
of solution: A. Simple explicit method, Equation 4.73. Stability requires that a^t/(Ax)² <for
this method. B. ADE method, Equation 4.107. This particular version of the ADE method was
suggested by Barakat and Clark (1966). In this algorithm, the equation for p+¹ can be solved
explicitly starting from the boundary at x = 0, whereas the equation for q+¹ should be solved
starting at the boundary at x = L. There is no stability constraint on the size of the time step for
this method. Develop computer programs to solve the problem described previously by methods
A and B. Also, you are to provide a capability for evaluating the exact solution for purposes of
comparison. Make at least the following comparisons:
1. For Ax = 0.1, At = 0.1 [resulting in a^t/(Ax)² = 0.2], compare the results from methods A
and B and the exact solution for t= 10h. A graphical comparison is suggested.
2. Repeat the aforementioned comparison after refining the space grid, that is, let Ax =
0.066667 (15 increments). Is the reduction in error as suggested by O[(Ax)2]?
3. For Ax=0.1, choose At such that aAt/(Ax)2 = 0.5 and compare the predictions of methods A
and B and the exact solution for t= 10h.
4. Demonstrate that method A does become unstable as a^t/(Ax)² exceeds 0.5. One suggestion is
to plot the centerline temperature versus time for at/(Ax)² ~0.6 for 10-20h of problem time.
5. For Ax = 0.1, choose At such that a^t/(Ax)² = 1.0 and compare the results of method B and
the exact solution for t= 10 h.
6. Increment a^t/(Ax)² to 2, then 3, etc., and repeat comparison 5 mentioned earlier until the
agreement with the exact solution becomes noticeably poor.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd0e55c35-c186-467f-9f9f-aa82bdc5660a%2F8f2296b7-2000-4d82-b0fc-a4d6e9cad957%2Fpc5e01e_processed.png&w=3840&q=75)
Transcribed Image Text:The heat equation
ƏT
at
a²T
əx²
governs the time-dependent temperature distribution in a homogeneous constant property
solid under conditions where the temperature varies only in one space dimension. Physically,
this may be nearly realized in a long thin rod or very large (infinite) wall of finite thickness.
Consider a large wall of thickness L whose initial temperature is given by T(t, x) = c sinx/L.
If the faces of the wall continue to be held at 0°, then a solution for the temperature at t > 0,
0≤x≤ Lis
T(t, x)= cexpi
-απ’)
Ľ²
sin
TX
L
For this problem, let c = 100°C, L = 1 m, α = 0.02 m²/h. We will consider two explicit methods
of solution: A. Simple explicit method, Equation 4.73. Stability requires that a^t/(Ax)² <for
this method. B. ADE method, Equation 4.107. This particular version of the ADE method was
suggested by Barakat and Clark (1966). In this algorithm, the equation for p+¹ can be solved
explicitly starting from the boundary at x = 0, whereas the equation for q+¹ should be solved
starting at the boundary at x = L. There is no stability constraint on the size of the time step for
this method. Develop computer programs to solve the problem described previously by methods
A and B. Also, you are to provide a capability for evaluating the exact solution for purposes of
comparison. Make at least the following comparisons:
1. For Ax = 0.1, At = 0.1 [resulting in a^t/(Ax)² = 0.2], compare the results from methods A
and B and the exact solution for t= 10h. A graphical comparison is suggested.
2. Repeat the aforementioned comparison after refining the space grid, that is, let Ax =
0.066667 (15 increments). Is the reduction in error as suggested by O[(Ax)2]?
3. For Ax=0.1, choose At such that aAt/(Ax)2 = 0.5 and compare the predictions of methods A
and B and the exact solution for t= 10h.
4. Demonstrate that method A does become unstable as a^t/(Ax)² exceeds 0.5. One suggestion is
to plot the centerline temperature versus time for at/(Ax)² ~0.6 for 10-20h of problem time.
5. For Ax = 0.1, choose At such that a^t/(Ax)² = 1.0 and compare the results of method B and
the exact solution for t= 10 h.
6. Increment a^t/(Ax)² to 2, then 3, etc., and repeat comparison 5 mentioned earlier until the
agreement with the exact solution becomes noticeably poor.
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