Environmental Engineering Reference
In-Depth Information
Finally the solution of the original PDS (2.28) can be written as u
(
x
,
t
)=
0 v
.
In practice, we can only solve eigenvalue problems where matrix A has a finite
order to obtain an approximate analytical solution.
(
x
,
t
, τ )
d
τ
2.5 Two-Dimensional Mixed Problems
Separation of variables is the main method for solving mixed problems. It is appli-
cable only for PDE with a separable equation and separable homogeneous boundary
conditions. This is the case only for some regular domains.
2.5.1 Rectangular Domain
Consider
a 2
u tt =
Δ
u
+
f
(
x
,
y
,
t
) ,
D
× (
0
, + )
u y ) D =
L
(
u
,
u x ,
0
,
(2.34)
u
(
x
,
y
,
0
)= ϕ (
x
,
y
) ,
u t (
x
,
y
,
0
)= ψ (
x
,
y
) ,
.
If all combinations of the boundary conditions of the first, second and third kinds
are considered, for a finite rectangular domain D , there exist 81 combinations of
linear boundary conditions L
where D is the domain 0
<
x
<
l 1 ,
0
<
y
<
l 2 ,
D is the boundary of D ,and t
(
0
, )
D =
(
u
,
u x ,
u y )
0. We detail the process of finding the
solution of PDS (2.34) for the combination
u
(
0
,
y
,
t
)=
u x (
l 1 ,
y
,
t
)+
h 2 u
(
l 1 ,
y
,
t
)=
0
,
(2.35)
u y (
x
,
0
,
t
)
h 1 u
(
x
,
0
,
t
)=
u y (
x
,
l 2 ,
t
)=
0
.
The results for the remaining 80 combinations are easily obtained by using a similar
approach, Table 2.1 and the solution structure theorem.
By the solution structure theorem, we first develop u
=
W ψ (
x
,
y
,
t
)
, the solution
for the case f
0. Based on the given boundary conditions (2.35), we should
use the eigenfunctions in Rows 3 and 8 in Table 2.1 to expand the solution,
= ϕ =
sin μ n y
n
m , n = 1 T mn ( t ) sin μ m x
(
,
,
)=
l 2 + ϕ
,
u
x
y
t
l 1
x
l 1 h 2
μ n are positive zero-points of f
where
μ m and
(
x
)=
tan x
+
and g
(
x
)=
cot x
ϕ n = μ n
x
l 2 h 1 , respectively, and tan
l 2 h 1 . Substituting this equation into the wave equa-
 
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