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---
Author: Antoine Foucault-Castelli
Date: 23/03/2026
Update: 31/03/2026
Bibliography: @karmiFiabiliteOptimisationSystemes @ghorbelEffectBrakeLocation2020a @zhengAnalyticalApproachMesh2022
Version: 5.0
---
> [!BUG]
> Some equations has been put in latex block code as they didnt show properly on gitlab
# Gearbox simulation
## Structure
```
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Functions %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-- main
main.m
>> used to launch all run_*.m at once
main_parameters.m
>> charge model's parameters
-- runners
run_main.m
>> PURPOSE: launch every class_func functions in the right order to model the system
run_display.m
>> PURPOSE: launch every class_displayer functions
run_print.m
>> PURPOSE: print the figures made by run_display
>> OUTPUT: .svg
-- classes
class_display.m
>> displays the inputs and outputs of the model
[col1,col2,col3,col4,col5,col6,col7,col8,lw1,lw2] = charge_aff()
[figname,namex,namey,namet,ylabelx,ylabelt,ylabelfft,ylabelfftT] = type_choice(type)
listOfFig = disp_x(t,x,type,listOfFig)
listOfFig = excitations_ext(t,T_aero,k_var,k_mean,listOfFig)
listOfFig = spectral_analysis(x,tf,dt,maxf,type,listOfFig)
% TODO
plot_fep(t,Fep,i)
listOfFig = plotThetaDiff(t,x,listOfFig)
class_func.m
>> model functions (explicit cf. comments in code)
[t, dt, tf, t_mesh, f_mesh, fs] =
time_sampling(fs_div,n_periods,Z1,N1)
[Jin, J1, J2, Jout, J_all] =
inertia(m_all,r_blade,di1,di2)
[c12, db1, db2] =
gearbox_geometry(alpha0, Z1, Z2, m0, a)
[k_var, k_mean] =
mesh_stiffness(epsilon, t, t_mesh, k_mesh_mean)
[T_aero,T_out] =
wind_excitation(t,rho_air,r_blade,v_wind,T_fluct_in,f_ext,omega_in,cp,ratio)
[M] =
mass_matrix(m_all, J_all)
[K_var, K_const, K_mean] =
stiffness_matrix(db1, db2, alpha0, kx, ky, ktheta, k_mean)
[K] =
stiffness_update(K_const,K_var,k)
[C] =
damping_matrix(M,K_mean,damp_eta,damp_beta)
[F] =
forces_matrix(T_in,T_out)
[x,v,a] =
initialization(N1,t,ratio,cp)
[x,v,a] =
newmark(M,C,K_const,K_var,K_mean,k_var,dt,t,T_in,T_out,x,v,a,omega_in,gamma,beta,F_ep)
[F_ep] =
error_profile_excitation(e12,f_mesh,t,alpha0,db1,db2,k_var)
[damp_eta, damp_beta] =
damping_coeff(M,K,xi1,xiN)
-- standalone
_convergence.m
>> purpose: test the numerical convergence of the model
>> output: 3 graphs + print/_convergence/*.svg
_gear-mesh-var.m
>> purpose: shows the variation of gear mesh with central distance changes
>> output: 1 graph + print/_gear-mesh-var/*.svg
_rms-analysis.m
>> purpose: analysis of RMS, STD and kurtosis for many setups
>> output: data/rms.svg
```
## How does it work ?
**For Matlab under windows :**
classic matlab
> [!WARNING]
> NOT TESTED UNDER MATLAB
> remove all occurences of `graphics_toolkit("gnuplot")` in the code which is only useful for Octave visualization
**For Octave/Linux :**
*May need a few package installation (follow octave recommandations after first(s) run*
```baswind_turbine_gearbox/octave/h
cd wind_turbine_gearbox/octave/
octave
>>> run main.m
>>>
```
## Informations
- [x] Verified code with base code and paper
- [x] Implemented wind excitation
- [x] Implemented Ghorbel parameters
- [~] Add varying output torque depending on number of tooth in contact ?
- [~] add brake ?
- [~] Variation of C ?
- [~] ODE45 ?
- [x] Displays from last version (in class objects)
- [x] New mesh stiffness variation model (trapezoidal)
- [x] Print in pdf
- [x] Errors/defects implementation
- [x] profile error
- [x] assembly defect (change on gear stiffness)
- [x] README
- [x] Maths
- [~] Images
- [x] Source(s)
- [x] Display
- [x] time response on a2
- [x] speed response
- [x] x movement (vs y movement ?)
- [x] RMS STD Kurtosis
- [x] Printing pdf and svg
- [x] Convergence verification
- [x] Display effect of defects
- [ ] Verify convergence for other input
- [ ] Preparation Monte Carlo Parallel calculation
- [x] Decide a number of samples per mesh period
- [ ] Random models implementation
- [x] Implemented easy disp and print
- [ ] Add a "peak finder" for FFT
## Maths
The model is represented by two 4DDL shafts in a gear connection : $x$ and $y$ are free at the pinion, $\theta$ is free at both ends of the shaft (input/output is $\theta_{ii}$ and meshing rotation is $\theta_{ij}$).
### Parameters
| Newmark parameters | Value | **Unit** |
| ------------------------------------------------ | --------- | --------------- |
| $\gamma$ | 0.7 | |
| $\beta$ | 0.3 | |
| **Gears** | **Value** | |
| Pinon 1 tooth number $Z1$ | 72 | |
| Pinion 2 tooth number $Z2$ | 18 | |
| Pinion modulus $m_0$ | 0.016 | m |
| Pinion width $b$ | 0.1 | m |
| Internal diameter pinion 1 $d_{i1}$ | 0.5 | m |
| Internal diameter pinion 2 $d_{i_2}$ | 0.3 | m |
| Rotor radius $r_{rot}$ | 0.5 | m |
| Input theoretical speed $N_1$ | 17 | m/s |
| Contact angle $\alpha$ | 20 | deg |
| Steel density $\rho_{steel}$ | 7860 | kg/m3 |
| **Masses** | **Value** | **Unit** |
| Input mass $m_{in}$ (hub + blades) | 54000 | kg |
| Output mass $m_{out}$ (rotor) | 10000 | kg |
| **Stiffness** | | |
| Flexion x : $k_x=k_{x_1}=k_{x_2}$ | 1e8 | N/m |
| Flexion y : $k_y=k_{y_1}=k_{y_2}$ | 1e8 | N/m |
| Torsion z : $k_\theta=k_{\theta_1}=k_{\theta_2}$ | 1e6 | N/m |
| Mean mesh stiffness $k_{mesh_{mean}}$ | 2.8e8 | N/rad |
| **Damping** | **Value** | **Unit** |
| Mass damping ratio | 0.05 | |
| Stiffness damping ratio | 0.01 | |
| **Wind excitation** | **Value** | **Unit** |
| Blade radius $r_{blade}$ | 6 | m |
| Air density $\rho_{air}$ | 1.225 | kg/m3 |
| Wind speed (mean) $v_{wind_{mean}}$ | 37.5 | m/s |
| Fluctuating external torque $T_{fluct}$ | 50 | N |
| Fluctuating external frequency $f_{fluct}$ | 6 | Hz |
| Performance efficiency $cp$ | 16/27 | |
| **Errors** | **Value** | **Unit** |
| Profile error (approx) | 1e-5 | m |
| Center distance error (approx) | 1e-2 | m |
### Energy equations
$$
\left[\frac{\partial E_p}{\partial q_i}\right]
+ \left[\frac{d}{dt}\left(\frac{\partial E_k}{\partial\dot{q}_i}\right)\right]
+ \frac{\partial C}{\partial\dot{q}_i}
= \frac{\partial W}{\partial q_i}
\label{eq:reformlagrange}
\\
E_k = \frac{1}{2}
\left(
m_1{\dot{x}_1}^2+
m_1{\dot{y}_1}^2+
I_{11}{\dot{\theta}_{11}}^2+
I_{12}{\dot{\theta}_{12}}^2+
m_2{\dot{x}_2}^2+
m_2{\dot{y}_2}^2+
I_{22}{\dot{\theta}_{22}}^2+
I_{21}{\dot{\theta}_{21}}^2
\right)
\\
E_p = \frac{1}{2}
\left(
k_{x_1}{x_{1}}^2+
k_{y_1}{y_{1}}^2+
k_{\theta_1}(\theta_{11}-\theta_{12})^2+
k_{x_2}{x_{2}}^2+
k_{y_2}{y_{2}}^2+
k_{\theta_2}(\theta_{21}-\theta_{22})^2+
K_e(t){\delta}^2
\right)
$$
### Equations of movement
The equations of movement are given by putting $E_k$ and $E_p$ into the Lagrangian formula.
$$
\begin{cases}
\frac{\partial E_p}{\partial x_1} + \frac{d}{dt}\left( \frac{\partial E_k}{\partial \dot{x}_1} \right) + \frac{\partial C}{\partial \dot{x}_1}
= m_1\ddot{x}_1
+ k_{x_1}x_1
+ \sin(\alpha)K_e(t)\delta
+ C_{x_1}\dot{x}_1
= 0 \\
\frac{\partial E_p}{\partial y_1} + \frac{d}{dt}\left( \frac{\partial E_k}{\partial \dot{y}_1} \right) + \frac{\partial C}{\partial \dot{y}_1}
= m_1\ddot{y}_1
+ k_{y_1}y_1
+ \cos(\alpha)K_e(t)\delta
+ C_{y_1}\dot{y}_1
= 0 \\
\frac{\partial E_p}{\partial \theta_{11}} + \frac{d}{dt}\left( \frac{\partial E_k}{\partial \dot{\theta}_{11}} \right) + \frac{\partial C}{\partial \dot{\theta}_{11}}
= I_{11}\ddot{\theta}_{11}
+ k_{\theta_{11}}(\theta_{11}-\theta_{12})
+ C_{\theta_{11}}\dot{\theta}_{11}
= T_{aero} \\
\frac{\partial E_p}{\partial \theta_{12}} + \frac{d}{dt}\left( \frac{\partial E_k}{\partial \dot{\theta}_{12}} \right) + \frac{\partial C}{\partial \dot{\theta}_{12}}
= I_{12}\ddot{\theta}_{12}
- k_{\theta_{11}}(\theta_{11}-\theta_{12})
+ {r_b}_1K_e(t)\delta
+ C_{\theta_{12}}\dot{\theta}_{12}
= 0 \\
\frac{\partial E_p}{\partial x_2} + \frac{d}{dt}\left( \frac{\partial E_k}{\partial \dot{x_2}} \right) + \frac{\partial C}{\partial \dot{x_2}}
= m_2\ddot{x}_2
+ k_{x_2}x_2
- \sin(\alpha)K_e(t)\delta
+ C_{x_2}\dot{x}_2
= 0 \\
\frac{\partial E_p}{\partial y_2} + \frac{d}{dt}\left( \frac{\partial E_k}{\partial \dot{y_2}} \right) + \frac{\partial C}{\partial \dot{y_2}}
= m_2\ddot{y}_2
+ k_{y_2}y_2
- \cos(\alpha)K_e(t)\delta
+ C_{y_2}\dot{y}_2
= 0 \\
\frac{\partial E_p}{\partial \theta_{22}} + \frac{d}{dt}\left( \frac{\partial E_k}{\partial \dot{\theta}_{22}} \right) + \frac{\partial C}{\partial \dot{\theta}_{22}}
= I_{22}\ddot{\theta}_{22}
- k_{\theta_{22}}(\theta_{21}-\theta_{22})
+ C_{x_1}\dot{\theta}_{22}
= T_{gen} \\
\frac{\partial E_p}{\partial \theta_{21}} + \frac{d}{dt}\left( \frac{\partial E_k}{\partial \dot{\theta}_{21}} \right) + \frac{\partial C}{\partial \dot{\theta}_{21}}
= I_{21}\ddot{\theta}_{21}
+ k_{\theta_{21}}(\theta_{21}-\theta_{22})
- {r_b}_2K_e(t)\delta
+ C_{\theta_{21}}\dot{\theta}_{21}
= 0
\end{cases}
$$
With $\delta_i(t)=(x_1-x_2)sin(\alpha)+(y_1-y_2)cos(\alpha)+\theta_{12}r_{b1}-\theta_{21}r_{b2}$ and $r_{bij}$ the base radius of pinions, $K_e$ is the varying meshing stiffness, mass $m_i = \pi r^2_{i}\rho$ for both pinions, and $I_{ij} = \frac{1}{2}m_{ij}r_{ij}^2$ for pinions and input/output inertia.
### Matrices
**Equation to solve :**
$$
\left[M\right]\{\ddot{q}\} + \left[C\right] \{\dot{q}\}+ \left(\left[K_{var}\right]+\left[K_{cst}\right]\right) \{q\} = \left\{F\right\}
$$
**Mass matrix :**
$$
M =
\begin{bmatrix}
m_1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\
0 & m_1 & 0 & 0 & 0 & 0 & 0 & 0 \\
0 & 0 & I_{11} & 0 & 0 & 0 & 0 & 0 \\
0 & 0 & 0 & I_{12} & 0 & 0 & 0 & 0 \\
0 & 0 & 0 & 0 & m_2 & 0 & 0 & 0 \\
0 & 0 & 0 & 0 & 0 & m_2 & 0 & 0 \\
0 & 0 & 0 & 0 & 0 & 0 & I_{22} & 0 \\
0 & 0 & 0 & 0 & 0 & 0 & 0 & I_{21} \\
\end{bmatrix} \\
$$
With $m_1$ mass of shaft 1 and $m_2$ mass of shaft 2
**Variable mesh stiffness matrix**
$$
K_{var} = K_e(t)
\begin{bmatrix}
s^2 & sc & 0 & sr_1 & -s^2 & -sc & 0 & -sr_2 \\
cs & c^2 & 0 & cr_1 & -cs & -c^2 & 0 & -cr_2 \\
0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\
r_1s & r_1c & 0 & r_1^2 & -r_1s & -r_1c & 0 & -r_1r_2 \\
-s^2 & -sc & 0 & -sr_1 & s^2 & sc & 0 & sr_2 \\
-cs & -c^2 & 0 & -cr_1 & cs & c^2 & 0 & cr_2 \\
0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\
-r_2s & -r_2c & 0 & -r_2r_1 & r_2s & r_2c & 0 & r_2r_1
\end{bmatrix}
$$
With
- $s=sin(\alpha)$
- $c=cos(\alpha) $
- $r1=r_{b_1} $
- $r2=r_{b_2}$
**Constant stiffness matrix**
$$
Ks=
\begin{bmatrix}
k_{x1} & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\
0 & k_{y1} & 0 & 0 & 0 & 0 & 0 & 0 \\
0 & 0 & k_{\theta1}& -k_{\theta1} & 0 & 0 & 0 & 0 \\
0 & 0 & -k_{\theta1} & k_{\theta1} & 0 & 0 & 0 & 0 \\
0 & 0 & 0 & 0 & k_{x1} & 0 & 0 & 0 \\
0 & 0 & 0 & 0 & 0 & k_{y1} & 0 & 0 \\
0 & 0 & 0 & 0 & 0 & 0 & k_{\theta2} & -k_{\theta2} \\
0 & 0 & 0 & 0 & 0 & 0 & -k_{\theta2} & k_{\theta2} \\
\end{bmatrix}
$$
**Damping matrix**
Damping matrix is : $C = \eta M+\beta K_{mean}$
**Forces**
$$
F =
\begin{bmatrix}
0 \\ 0 \\ T_{aero} \\ 0 \\ 0\\ 0\\ T_{gen}\\ 0
\end{bmatrix}
$$
**Mesh stiffness model**
The mesh stiffness is modelized by a trapezoïdal signal between a low value ($=k_{mesh_{mean}}$ for one tooth in contact) and its double value as a high value. Length of both phase is given by $T_{high}=(\varepsilon-1)T_{mesh}$ and $T_{low}=(2-\varepsilon)T_{mesh}$. 10% of the start and of the end of the “high” phase is a linear slope from low value to high value.
> [!NOTE]
> $T_{mesh}=1/f_{mesh}=1/(Z1*N1/60)$
> $\varepsilon$ is an approximation using the following formula :
$$
c_1=\frac{1+\frac{1}{Z1}}{\left(\pi cos(\alpha)\left(\frac{sin(\alpha)}{2}+\sqrt{\frac{sin(\alpha)^2}{4}+\frac{1}{Z1^2}+\frac{1}{Z1}}\right)\right)} \\
c_1=\frac{1+\frac{1}{Z2}}{\left(\pi cos(\alpha)\left(\frac{sin(\alpha)}{2}+\sqrt{\frac{sin(\alpha)^2}{4}+\frac{1}{Z2^2}+\frac{1}{Z2}}\right)\right)} \\
c_{12}=c_1+c_2 \approx \varepsilon
$$
## Numerical model, wind model and errors
**Time :** time is sampled on the $T_{mesh}$, with $fs$ the number of points for each period, and $n_{periods}$ the number of periods calculated. The number of points is $fs\times n_{periods}$.
**Speed :** rotational speed is initialized at its “stable” value.
> if no automatic implementation, it has to be done “by hand” by executing the program once, get the speeds after the transient zone, and put them by hand in “initialization” source code (`func.m`)
**Wind :** cosine variation around mean torque value
$$
T_{in} = \rho_{air}\pi(r_{blade}^2)(v_{wind}^3)*Cp)/(2\omega) \\
T_{aero}(t) = T_{in} + T_{fluct}\cos(2\pi f_{ext}t)
$$
**Initialization :** everything is set at 0 for initialization (except speed)
**Model :** a basic Newmark scheme is used to compute the model over time
**Error implementation :**
- error profile is implemented as ($+\infty$ is approximated as $1000$) :
$$
ep(t) = e_{12}+\sum ^{+\infty}_{n=1}e_{12}sin(2n\pi f_m t) \\
\left\{F_{ep}\right\} = \frac{\partial \delta (t)}{\partial q_i}k(t)ep(t) \\
\frac{\partial \delta(t)}{\delta q_i} =
\begin{bmatrix}
sin(\alpha) \\ cos(\alpha) \\ 0 \\ rb_1 \\ -sin(\alpha) \\ -cos(\alpha) \\ 0 \\ rb_2
\end{bmatrix}
$$
- center distance error is implemented as a transformation of $\alpha$ depending on a variation of $a$, in `gearbox_geometry`. It does only change the values of contact ratio $\varepsilon$ and then the profile of the mesh stiffness (length of phases and max/min values).
$$
\alpha'=acos\left(\frac{rb_1+rb_2}{E+a}\right)
$$
## TO FIX
> [!CAUTION]
> Speed not right
## Machine specifications
For the computational speed, heres my machines spec. :
```
-`
.o+`
`ooo/ OS: Arch Linux x86_64
`+oooo: Host: 20EV000UFR ThinkPad E560
`+oooooo: Kernel: 6.19.10-arch1-1
-+oooooo+: Shell: zsh 5.9
`/:-:++oooo+: Terminal: kitty
`/++++/+++++++: CPU: Intel i5-6200U (4) @ 2.300GHz
`/++++++++++++++: GPU: Intel Skylake-U GT2 [HD Graphics 520]
`/+++ooooooooooooo/` Memory: 1703MiB / 3792MiB
./ooosssso++osssssso+`
.oossssso-````/ossssss+`
-osssssso. :ssssssso.
:osssssss/ osssso+++.
/ossssssss/ +ssssooo/-
`/ossssso+/:- -:/+osssso+-
`+sso+:-` `.-/+oso:
`++:. `-/+/
.` `/
```

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