Orthogonality property of eigenvectors w.r.t. [K] & [Cm] matrices
Hypothesis
{Cm}, {K}: symmetric and real ⟹ eigenvalues and eigenvectors are real.
Positive definite or positive semi-definite ⟹ eigenvalues are not negative (⟶0).
Theorem
{ts}T [Cm] {tz} = 0, {ts}T [K] {tz} = 0 (s ≠ z ≠ s).
Proof
Consider EVP: ω2{Cm}{xz}=[K]{xz}.
Consider two generic e-v ωs, ωz and the corresponding e-vectors {ts}, {tz}.
- ωz2 [Cm] {tz} = [K] {tz} — mode z.
- ωs2 [Cm] {ts} = [K] {ts} — mode s.
So we pre-multiply the first eq. by tsT and second one {tz}T.
{ts}T ωz2 [Cm] {tz} = {ts}T [K] {tz}.
{tz}T ωs2 [Cm] {ts} = {tz}T [K] {ts} (✶).
⟵ Transpose these eq. remembering that (CA)T {ts} [K] = [B]-T [A]T.
ωs2 {ts}T [Cm] {tz} = {ts}T [K] {tz}.
ωz2 {ts}T [Cm] {tz} = {ts}T [K] {tz}.
(ωs2 - ωz2) {ts}T [Cm] {tz} = 0.
Since \([cm]\) is P.D. \quad modal mass of the iTH mode.
Repeating a similar procedure we can get the same result for (k) matrix:
\[(\omega_i^2 - \omega_j^2) \left\{ \mathbf{\psi_i}^T \right\} [k] \left\{ \mathbf{\psi_j} \right\} = 0 \]
- If \(\omega_i \ne \omega_j \Rightarrow \left\{ \mathbf{\psi_j}^T \right\} [k] \left\{ \mathbf{\psi_i} \right\} = 0 \quad \Rightarrow \text{eigenvectors are K-orthogonal}\).
- If \(\omega_i = \omega_j \Rightarrow \left\{ \mathbf{\psi_i}^T \right\} [k] \left\{ \mathbf{\psi_i} \right\} \ge 0\) because [k] is P.S.D. \quad modal stiffness of the iTH mode.
\[\omega_i^2 \left\{ \mathbf{\psi_i}^T \right\} [cm] \left\{ \mathbf{\psi_i} \right\} = \left\{ \mathbf{\psi_i}^T \right\} [k] \left\{ \mathbf{\psi_i} \right\} \]
\(M_{m} \quad K_m\).
\[ \Rightarrow K_{r} = M_{r} \omega_i^2 \]
By using the modal matrix \([Y] = [\mathbf{y_1}, \ldots, \mathbf{y_n}]\), the result would be:
\[\left[ \mathbf{y}^T \right] (cm) \left[ \mathbf{y} \right] = \text{diag} (M_n)\]
\(M_{11}, \quad , \quad M_{nn}\).
Modal mass
Physical mass.
Modal mass matrix.
C[Nᵀ][K][N]{Y} = diag (kᵣ).
Mass stiffness matrix.
Theory of expansion
In particular, allows to express any motion of the m-DOF of the system as a linear combination of the modal (eigen) vectors.
It is possible of the mode vectors as linearly independent.
i.e. they are a basis of the configuration space.
Theorem
TH: Thereof, {Y} displacement = Σ Cm{Yₘ} vector m=1.
Proof by contradiction
Proof by contradiction: assume that eigenvectors are linearly dependent:
C₁{Y₁} + C₂{Y₂} + ... + Cₘ{Yₘ} = Σ Cₘ{Yₘ} = 0.
Where C are not all zero.
Pre-multiply by {Y₃ᵀ}[Cₘ].
Σ Cₘ {Y₃ᵀ}[Cₘ]{Yₘ} = 0.
From the this product is always null m=1 m=1 except r=s.
Cs: {Yₛᵀ}[Cₘ]{Yₘ} = 0 → Cs = 0.
m≠s ≠p.
Repeating the procedure for all s ≠ 1:
m ⊘ Cs = 0 ∀s this contradict the initial hypothesis → the eigenvectors are linearly independent and any vector displacement {uₛ} can be written as a linear combination of the e-vectors.
Modal participation factor
{U} = Σr=1m Cr {Φ}r.
Pre-multiply by {Ψ}sT [CM].
{Ψ}sT [CM] {U} = Σr=1m Cr {Ψ}sT [CM] {Φ}r.
= Σr=1m Cr {Ψ}sT [CM] {Φ}r.
{Ψ}sT [CM] {Φ}r = 0 if s ≠ r + mr if s = r → form m - orthogonality.
{C}r = {{Ψ}sT [CM] {U}} /ms.
s = 1, 2, … , m.
EX if {U} = {Φ}r = {Φ}j → Cr: = 0 if i ≠ j.
Cr: ≠ 0 if i = j.
Normalization of eigenvectors
We can do it because eigenvectors are defined apart from a multiplicative constant {Ψ}r → k {Ψ}r.
Set each first element equal to 1 ({Ψ}11 = {Ψ}22 = {Ψ}nn = 1) so →[ 1 1 … 1].
| | |.
Set the maximum element of each eigenvector to 1.
X = [ 1 1 ].
| | | | | | | | | | |.
Set each modal mass equal to 1 [m - normalization].
In general ms = {Φ}rT [CM] {Φ}r ≠ 1.
So we consider another eigenvector {Θ}r = {Φ}r / √mr.
{Θ}rT [CM] {Φ}s = ms.
{Θ}sT [CM] {Θ}s = 1 ( = ms).
{Φ} is the modal matrix m-normalized.
[Φ]ᵀ [Cm] [Φ] = [CI].
The modal mass matrix coincide with identity matrix.
[Φ]ᵀ [Ck] [Φ] = diag (ω²).
Modal stiffness matrix.
Decomposing the EOM of M-DOF system using modal analysis
EOM [Cm] {ẍ} + [K] {x} = {} → modal analysis → [Φᵀ ϒ].
diag (mᵢ), diag (kᵢ), ωᵢ² = kᵢ/mᵢ.
Modal matrix.
Modal frequency squared.
{x(t)} = [Φ] {(ξ) }.
Physical coordinate.
Modal coordinate.
Coordinate transformation matrix.
Modal matrix.
Coordinate transformation: from physical {x} to modal {x} coordinate and viceversa.
We said that [Φᵀ] is const → {ẋ(t)} = [Φᵀ] {η̇(t)}.
So replacing: [Cm] [Φ] {η̈} + [Ck] [Φ] {η} = {}.
We pre-multiply the transpose of modal matrix:
[Φᵀ] [Cm] [Φ] {η̈} + [Φᵀ] [Ck] [Φ] {η} = {Φᵀ} {}.
diag (mᵢ) diag (kᵢ).
Thanks to m-orthogonality and k-orthogonality we get a set of n-independent equations in this type:
mᵢ η̈ᵢ + kᵢ ηᵢ = ᵢ.
Cp η̈₂ + ω₂² η₂ = 0 → where i = 4,...,n.
q̈1 + ω12q1 = 0.
q̈n + ωn2qn = 0.
q are independent and uncoupled.
Which means that the system is elastically and inertially decoupled by modal stiffness matrix is diagonal to modal mass matrix is diagonal.
Solve in modal coordinate and go back into physical through modal transformation.
[x] = [C] [q].
Free response with linear viscous damping
[C][ẍ] + [C]T[C][ẋ] + [C]T[K][ẋ] = [p] → modal transf.
[C]T[Cm][q̈] + [C]T[C][Cp][q̇] + [C]T[Ck][Cp][q] = Φ.
diag(mn) diag(kk).
In general is not diagonal for generic damping.
Proportional damping
For the special case of "Proportional Damping" → diagonal modal damping matrix.
[Cp] = α[M] + β[Kk].
Constant coefficients.
[C]T[Cp][C] = [C]T(α[M] + β[Kk]) [C] = [C]T[Cm][C] α + [C]T[Kk][C]T β = α diag(mi) + β diag(ke).
e.o.m. decoupled e.o.m. in modal coordinates.
mi q̈ + (αmi + βkn) q̇ + kn q = Φ.
q̈ + 2ζ1ω1q̇ + ω12q1 = Φ.
That reminds the EOM of S.D.O.F. response.
Free response with prop. damping
2 methods:
- Inverse modal transformation.
- Modal approach.
1) Inverse modal transformation
{x0} = [Φ] x(t=0) i.c. defined in physical coordinates.
{v0} = [x](t=0).
We know that the free resp. of the system in modal coordinates (underdamped system) is:
η(t) = η20 e-ξ₂ω₂t sin (ωd2 t + θ2).
= (A₂ cos(ωd2 t) + B₂ sin(ωd2 t)) ⋅ e-ξ₂ω₂t (✗) (✗).
Initial condition in modal coordinates are needed.
Direct modal transft. is: {x} = [Φ]{z} ⇒ inverse modal transf.
{y₀}=[Φ]T{x₀}.
{ẏ₀}=[Φ]T{ẋ₀}.
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Lezione 1 Meccanica applicata alle macchine
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Lezione 3 Meccanica applicata alle macchine
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Appunti lezione Meccanica applicata alle macchine
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Appunti lezione Meccanica applicata alle macchine