i) For a 2-D stress state, the principal stresses and principle directions are the eigenvalues and eigenvectors of the stress tensor o. Using this definition, find the principal stresses and principal directions of the stress state denoted by the following stress tensor (stress units in MPa): 10 -5 Oxx Txy Try Oyy] %3D -5 20

Advanced Engineering Mathematics
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ISBN:9780470458365
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Chapter2: Second-order Linear Odes
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a) i)
For a 2-D stress state, the principal stresses and principle directions are the eigenvalues
and eigenvectors of the stress tensor o. Using this definition, find the principal stresses
and principal directions of the stress state denoted by the following stress tensor (stress
units in MPa):
´ 10
[Oxx Try
Oyy
O =
Try
-5 20
For a real symmetric matrix, the eigenvectors are orthogonal. i.e. they are mutually
perpendicular. Verify this using the above stress tensor. Note that two column vectors
V1, V2 are orthogonal if their dot (inner) product is 0, i.e., v7 v2 = 0.
b) Consider the following matrix:
4
1
A =
-1
-6
-2
5
The eigenvalues of this matrix are known: A1 = -6, 12 = -1, and ^3 = 5. Using only the
knowledge of the eigenvalues of A, and without solving characteristic equations, find the
eigenvalues of the following matrices:
-8
-2
1
1
[21
4
В —
2
12
4
C = |-1
-11
-2
D =
-8
36
11
- 10
5
-5
20
5
Transcribed Image Text:a) i) For a 2-D stress state, the principal stresses and principle directions are the eigenvalues and eigenvectors of the stress tensor o. Using this definition, find the principal stresses and principal directions of the stress state denoted by the following stress tensor (stress units in MPa): ´ 10 [Oxx Try Oyy O = Try -5 20 For a real symmetric matrix, the eigenvectors are orthogonal. i.e. they are mutually perpendicular. Verify this using the above stress tensor. Note that two column vectors V1, V2 are orthogonal if their dot (inner) product is 0, i.e., v7 v2 = 0. b) Consider the following matrix: 4 1 A = -1 -6 -2 5 The eigenvalues of this matrix are known: A1 = -6, 12 = -1, and ^3 = 5. Using only the knowledge of the eigenvalues of A, and without solving characteristic equations, find the eigenvalues of the following matrices: -8 -2 1 1 [21 4 В — 2 12 4 C = |-1 -11 -2 D = -8 36 11 - 10 5 -5 20 5
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