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pyAnsys_MAPDL_dash.py
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import numpy as np
import pandas as pd
import plotly.graph_objects as go
import dash
from dash.exceptions import PreventUpdate
from dash import dcc, Output, Input, State, html, dash_table
from dash.dash_table import FormatTemplate
from dash.dash_table.Format import Format, Scheme
from dash.long_callback import DiskcacheLongCallbackManager
import dash_bootstrap_components as dbc
import dash_vtk
import diskcache
from dash_vtk.utils import to_mesh_state
from ansys.mapdl.core import launch_mapdl, Mapdl
APP_ID = 'pyAnsys'
def make_colorbar(title, rng, bgnd='rgb(51, 76, 102)'):
fig = go.Figure()
fig.add_trace(
go.Scatter(x=[None],
y=[None],
mode='markers',
marker=dict(
colorscale='plasma',
showscale=True,
cmin=rng[0],
cmax=rng[1],
colorbar=dict(
title_text=title,
title_font_color='white',
title_side='top',
thicknessmode="pixels", thickness=50,
# lenmode="pixels", len=200,
yanchor="middle", y=0.5, ypad=10,
xanchor="left", x=0., xpad=10,
ticks="outside",
tickcolor='white',
tickfont={'color':'white'}
# dtick=5
)
),
hoverinfo='none'
)
)
fig.update_layout(width=150, margin={'b': 0, 'l': 0, 'r': 0, 't': 0}, autosize=False, plot_bgcolor=bgnd)
fig.update_xaxes(visible=False)
fig.update_yaxes(visible=False)
return fig
def make_sbc(mapdl, x, y, z, tid='', cid='', tdof='111111', _type='rigid', pinb=None):
"""create remote point at lspecified location, mapdl object must have nodes selected prior to passing to this function. The pinb parameter may be used to filter nodes to within a radius of the pilot node.
Args:
mapdl: active pyMAPDL object with distributed nodes pre-selected
x (float): X location of pilot node in global coordinate system (cycs=0)
y (float): Y location of pilot node
z (float): Z location of pilot node
tid (str, optional): user-specified target element type number. Defaults to '' (next available number).
cid (str, optional): user-specified contact element type number. Defaults to '' (next available number).
tdof (str, optional): active DOFs on the pilot node. Defaults to '111111'.
_type (str, optional): Surface based constraint type. Defaults to 'rigid'.
Returns:
n_pilot: pilot node id
rid: real constant id for surface based constraint pair
"""
q = mapdl.queries
# target element type
tid = mapdl.et(itype=tid, ename=170, kop2=1, kop4=tdof)
mapdl.keyopt(itype=tid, knum=7, value=0)
kop4 = {'rigid': 0, 'deformable': 1}[_type]
cid = mapdl.et(itype=cid, ename=175, kop2=2, kop4=kop4)
mapdl.keyopt(itype=cid, knum=12, value=5)
rmx = mapdl.get(entity='RCON', item1='NUM',it1num='MAX')
rid = rmx+1
mapdl.r(nset=rid)
if pinb:
# create local sperical cs, reselect nodes within pinball radius
mapdl.local(kcn=999, kcs=2, xc=x, yc=y, zc=z)
cs_id = mapdl.parameters.csys
mapdl.nsel(type_='r', item='LOC', comp='X', vmin=0., vmax=pinb)
mapdl.csys(0)
mapdl.csdele(cs_id)
# create contact elements
mapdl.type(cid)
mapdl.real(rid)
mapdl.mat(rid)
n_nodes = mapdl.get(entity='NODE', item1='COUNT')
nid = mapdl.get(entity='NODE', item1='NUM', it1num='MIN')
for i in range(int(n_nodes)):
mapdl.e(nid)
nid = q.ndnext(nid)
# create target pilot element
mapdl.allsel()
n_pilot = mapdl.n(x=x, y=y, z=z)
mapdl.tshap('pilo')
mapdl.type(tid)
mapdl.real(rid)
mapdl.mat(rid)
e_pilot = mapdl.e(n_pilot)
mapdl.tshap()
return n_pilot, rid
def get_mass(mapdl):
mapdl.post1()
mapdl.allsel()
mapdl.set(1, 1)
mtot = np.zeros(6)
for j, d in enumerate(['X', 'Y', 'Z']):
mtot[j] = mapdl.get(entity='ELEM', item1='MTOT', it1num=d)
mtot[j+3] = mapdl.get(entity='ELEM', item1='IOR', it1num=d)
return pd.Series(mtot, index=['TX', 'TY', 'TZ', 'RX', 'RY', 'RZ'])
def get_mem(mapdl):
mapdl.post1()
mapdl.allsel()
mapdl.set(1, 1)
df_mass = get_mass(mapdl)
n_modes=mapdl.get(entity='ACTIVE', item1='SET', it1num='NSET')
effms = []
for i in range(int(n_modes)):
mapdl.set(1, i+1)
freq = mapdl.get(entity='ACTIVE', item1='SET', it1num='FREQ')
effmi = np.zeros(13)
effmi[0] = freq
for j, d in enumerate(['X', 'Y', 'Z', 'ROTX', 'ROTY', 'ROTZ']):
effmi[j+1] = mapdl.get(entity='MODE', entnum=i+1, item1='EFFM', item2='DIREC', it2num=d)
effmi[7:] = effmi[1:7] / df_mass.values
effms.append(effmi)
effm = np.vstack(effms)
df = pd.DataFrame(effm, columns=['freq', 'TX_abs', 'TY_abs', 'TZ_abs', 'RX_abs', 'RY_abs', 'RZ_abs', 'TX', 'TY', 'TZ', 'RX', 'RY', 'RZ'])
df['mode'] = np.arange(len(df)) + 1
return df
def get_sene(mapdl, comp_name=None):
"""Gets strain energy for each result set of mapdl object
Args:
mapdl: pyAnsy mapdl object
comp_name (String, optional): Name of component to get strain energy of or None for full model. Defaults to None.
Returns:
pd.DataFrame: Pandas Dataframe with fequencies and strain energies
"""
mapdl.post1()
mapdl.allsel()
n_modes=mapdl.get(entity='ACTIVE', item1='SET', it1num='NSET')
mapdl.etable('ERAS')
if comp_name is not None:
mapdl.cmsel(type_='s', name=comp_name, entity='ELEM')
freqs = []
senes = []
for i in range(int(n_modes)):
mapdl.set(1, i+1)
freq = mapdl.get(entity='ACTIVE', item1='SET', it1num='FREQ')
freqs.append(freq)
mapdl.etable(lab='mysene', item='SENE')
mapdl.sabs(1)
mapdl.ssum()
sene = mapdl.get(entity='SSUM', entnum=0, item1='ITEM', it1num='mysene')
senes.append(sene)
return pd.DataFrame({'freq': freqs, 'sene': senes})
def get_sene_comps(mapdl, comp_names):
"""Gets relative strain energy for each component & mode
Args:
mapdl: pyAnsy mapdl object
comp_names (List): List of strings of component names
Returns:
pd.DataFrame: pandas dataFrame with frequences and component relative strain energies
"""
sene_total = get_sene(mapdl).loc[:, 'sene'].values
dfs=[]
for c in comp_names:
df1 = get_sene(mapdl, comp_name=c)
df = pd.DataFrame({'freq': df1['freq'].values, c: df1['sene'].values / sene_total})
dfs.append(df)
df_sene = pd.concat([d.set_index('freq') for d in dfs], axis=1, ignore_index=False, sort=True)
df_sene['mode'] = np.arange(len(df)) + 1
df_sene = df_sene.reset_index(drop=False)
return df_sene
def plot_nodal_disp(grid, result, idx_set=0, dof='uZ', scale=2.):
"""plots nodal displacement for a mapdl result set.
Args:
grid (vtk grid): grid object from mapdl.mesh.grid (prior to exiting mapdl)
result (mapdl result): result object from solved mapdl, mapdl.result
idx_set (int, optional): 0-based set index for result sets. Defaults to 0.
dof (str, optional): direction of nodal displacement. Must be one of 'uX', 'uY', 'uZ'. Defaults to 'uZ'.
"""
gridn = grid.point_data["ansys_node_num"]
nnum, disp = result.nodal_displacement(idx_set)
idx_map = {'uX':0, 'uY':1, 'uZ':2}
u = pd.DataFrame(disp, index=nnum).reindex(gridn, fill_value=0.)
grid.point_data[dof] = u.loc[:,idx_map[dof]].values
grid.set_active_scalars(dof)
grid.point_data['disp'] = u.values[:, :3]
grid = grid.warp_by_vector('disp', factor=scale)
return grid
def make_pv_array(panel_w, panel_h, n_panels=2, nsm_pv=0.002, tc=0.25, tfs=0.03, k_hinge=10e3, dx_panel=2., prog=None):
mapdl = launch_mapdl(override=True, license_type="ansys", cleanup_on_exit=True, additional_switches="-smp")
mapdl.clear()
mapdl.prep7()
mapdl.units("BIN")
mapdl.csys(kcn=0)
# Faceseet material
mid = 1
Ex = 10.0e6
nu_xy = 0.3
dens = 0.1 / 386.089
mapdl.mp('EX', mid, Ex)
mapdl.mp('PRXY', mid, nu_xy)
mapdl.mp('DENS', mid, dens)
# Core material
mid = 2
Ez = 75e3
Gxz = 45e3
Gyz = 22e3
dens = (3.1 / 12**3) / 386.089
mapdl.mp('EX', mid, 10)
mapdl.mp('EY', mid, 10)
mapdl.mp('EZ', mid, Ez)
mapdl.mp('GXY', mid, 10.)
mapdl.mp('GXZ', mid, Gxz)
mapdl.mp('GYZ', mid, Gyz)
mapdl.mp('PRXY', mid, 0.)
mapdl.mp('PRXZ', mid, 0.)
mapdl.mp('PRYZ', mid, 0.)
mapdl.mp('DENS', mid, dens)
# create shell property
mapdl.et(1, 181, kop1=0, kop3=2)
mapdl.sectype(secid=1, type_="SHELL")
mapdl.secdata(tfs, 1, 0, 3)
mapdl.secdata(tc, 2, 0, 3)
mapdl.secdata(tfs, 1, 0, 3)
mapdl.secoffset('MID')
mapdl.seccontrol(val4=nsm_pv)
# create joint property
mid = 10
K_1 = 1e6
K_2 = 1e6
K_3 = 1e6
K_4 = 1e5
K_5 = k_hinge
K_6 = 1e5
mapdl.et(mid,250,0)
mapdl.r(mid)
mapdl.rmore(K_1, K_2, K_3, K_4, K_5, K_6)
# create geometry (areas)
a1 = mapdl.blc4(xcorner=0., ycorner=-panel_w/2, width=panel_h, height=panel_w)
mapdl.agen(itime=n_panels, na1='ALL', dx=panel_h + dx_panel)
if prog:
prog((str(2), str(10)))
# mesh
mapdl.allsel()
mid=1
mapdl.aatt(mat=mid, type_=mid, secn=mid)
mapdl.aesize('all', dx_panel / 2.)
mapdl.mshape(0, '2D')
mapdl.mopt('SPLIT', 'OFF')
mapdl.smrtsize(sizlvl=4)
mapdl.csys(kcn=0)
mapdl.amesh("all")
# base remote points
mapdl.lsel(type_='s', item='LOC', comp='X', vmin=0.)
mapdl.nsll(type_='s', nkey=1)
n_base_1, r_base = make_sbc(mapdl, 0., -panel_w/4., 0., pinb=dx_panel)
mapdl.lsel(type_='s', item='LOC', comp='X', vmin=0.)
mapdl.nsll(type_='s', nkey=1)
n_base_2, r_base = make_sbc(mapdl, 0., panel_w/4., 0., pinb=dx_panel)
if n_panels > 1:
for i in range(n_panels-1):
x_ref = panel_h * (i + 1) + dx_panel * i
x_mob = x_ref + dx_panel
# ref remote points
mapdl.lsel(type_='s', item='LOC', comp='X', vmin=x_ref)
mapdl.nsll(type_='s', nkey=1)
nr1, rr1 = make_sbc(mapdl, x_ref + dx_panel / 2., -panel_w / 4., 0., pinb=dx_panel)
mapdl.lsel(type_='s', item='LOC', comp='X', vmin=x_ref)
mapdl.nsll(type_='s', nkey=1)
nr2, rr2 = make_sbc(mapdl, x_ref + dx_panel / 2., panel_w / 4., 0., pinb=dx_panel)
# mob remote points
mapdl.lsel(type_='s', item='LOC', comp='X', vmin=x_mob)
mapdl.nsll(type_='s', nkey=1)
nm1, rm1 = make_sbc(mapdl, x_ref + dx_panel / 2., -panel_w / 4., 0., pinb=dx_panel)
mapdl.lsel(type_='s', item='LOC', comp='X', vmin=x_mob)
mapdl.nsll(type_='s', nkey=1)
nm2, rm2 = make_sbc(mapdl, x_ref + dx_panel / 2., panel_w / 4., 0., pinb=dx_panel)
# Add joints
mapdl.allsel()
mid = 10
mapdl.mat(mid)
mapdl.type(mid)
mapdl.real(mid)
mapdl.e(nr1, nm1)
mapdl.e(nr2, nm2)
# make components
mapdl.esel(type_='s', item='TYPE', vmin=1)
mapdl.cm(cname='shell', entity='ELEM')
mapdl.esel(type_='s', item='TYPE', vmin=10)
mapdl.cm(cname='joint', entity='ELEM')
mapdl.allsel()
if prog:
prog((str(3), str(10)))
# solving
mapdl.allsel()
mapdl.slashsolu()
mapdl.outres(item='ALL', freq='NONE')
mapdl.outres(item='NSOL', freq='ALL')
mapdl.outres(item='RSOL', freq='ALL')
mapdl.outres(item='ESOL', freq='ALL')
mapdl.outres(item='VENG', freq='ALL')
mapdl.outres(item='MISC', freq='ALL')
mapdl.d(n_base_1, "ALL")
mapdl.d(n_base_2, "ALL")
mapdl.antype('MODAL')
mapdl.modopt('LANB', 3)
mapdl.mxpand(elcalc="YES")
o = mapdl.solve()
if prog:
prog((str(4), str(10)))
grid = mapdl.mesh.grid
result = mapdl.result
df_sene = get_sene_comps(mapdl, ['shell', 'joint']).set_index('mode')
df_mem = get_mem(mapdl).loc[:, ['mode', 'TX', 'TY', 'TZ', 'RX', 'RY', 'RZ']].set_index('mode')
df_sene_mem = pd.concat([df_mem, df_sene], axis=1, ignore_index=False, sort=True).reset_index(drop=False)
mapdl.exit()
if prog:
prog((str(6), str(10)))
return result, grid, df_sene_mem
def data_bars(df, column, bar_max=1., bar_min=0., clr='#0074D9'):
n_bins = 100
bounds = [i * (1.0 / n_bins) for i in range(n_bins + 1)]
ranges = [
((bar_max - bar_min) * i) + bar_min
for i in bounds
]
styles = []
for i in range(1, len(bounds)):
min_bound = ranges[i - 1]
max_bound = ranges[i]
max_bound_percentage = bounds[i] * 100
styles.append({
'if': {
'filter_query': (
'{{{column}}} >= {min_bound}' +
(' && {{{column}}} < {max_bound}' if (i < len(bounds) - 1) else '')
).format(column=column, min_bound=min_bound, max_bound=max_bound),
'column_id': column
},
'background': (
"""
linear-gradient(90deg,
{clr} 0%,
{clr} {max_bound_percentage}%,
white {max_bound_percentage}%,
white 100%)
""".format(max_bound_percentage=max_bound_percentage, clr=clr)
),
'paddingBottom': 2,
'paddingTop': 2
})
return styles
cache = diskcache.Cache('./cache')
lcm = DiskcacheLongCallbackManager(cache)
app = dash.Dash(
__name__,
long_callback_manager=lcm,
external_stylesheets=[dbc.themes.BOOTSTRAP]
)
app.layout = dbc.Container([
html.H1('PyAnsys MAPDL in a Dash App', className="mt-3"),
html.P('Design your solar array! (not really, dont use these assumed properties)'),
dbc.Row([
dbc.Col([
dbc.Form([
dbc.Label('Number of Panels', html_for=f'{APP_ID}_n_panels_input'),
dbc.Input(id=f'{APP_ID}_n_panels_input', type="number", min=0, max=10, step=1, value=2)
])
]),
dbc.Col([
dbc.Form([
dbc.Label('Panel Width (in)', html_for=f'{APP_ID}_w_panel_input'),
dbc.Input(id=f'{APP_ID}_w_panel_input', type="number", min=1., value=20, step='any'),
dbc.FormText("Y direction"),
])
]),
dbc.Col([
dbc.Form([
dbc.Label('Panel Height (in)', html_for=f'{APP_ID}_h_panel_input'),
dbc.Input(id=f'{APP_ID}_h_panel_input', type="number", min=1., value=20, step='any'),
dbc.FormText("X / deployment direction")
])
]),
dbc.Col([
dbc.Form([
dbc.Label('Panel Core Thickness (in)', html_for=f'{APP_ID}_tc_input'),
dbc.Input(id=f'{APP_ID}_tc_input', type="number", min=.125, value=.25, step='any'),
])
]),
]),
dbc.ButtonGroup([
dbc.Button('Hide / Show Additional Options', id=f'{APP_ID}_options_collapse_button', color='secondary'),
dbc.Button('Solve', id=f'{APP_ID}_solve_button', color='primary'),
]),
dbc.Collapse(
id=f'{APP_ID}_options_collapse',
is_open=False,
children=[
dbc.Row([
dbc.Col([
dbc.Form([
html.Div([
dbc.Label('Non Structural Mass (lbs/in^2)', html_for=f'{APP_ID}_nsm_input'),
dbc.Input(id=f'{APP_ID}_nsm_input', type="number", min=0., value=0.002, step='any'),
dbc.FormText("Photo-voltaics, harness, etc"),
],
className="mb-3",
)
]),
dbc.Form([
html.Div([
dbc.Label('Facesheet Thickness (in)', html_for=f'{APP_ID}_tfs_input'),
dbc.Input(id=f'{APP_ID}_tfs_input', type="number", min=0.01, value=0.030, step='any'),
dbc.FormText("per skin, 2 skins per panel")
],
className="mb-3",
)
])
]),
dbc.Col([
dbc.Form([
html.Div([
dbc.Label('Hinge Effective Rotational Stiffness (in-lbs/rad)', html_for=f'{APP_ID}_k_hinge_input'),
dbc.Input(id=f'{APP_ID}_k_hinge_input', type="number", min=1000, value=10e3, step=1000),
dbc.FormText("Stiffness about pin axis"),
],
className="mb-3",
)
]),
dbc.Form([
html.Div([
dbc.Label('Panel Separation (in)', html_for=f'{APP_ID}_dx_panel_input'),
dbc.Input(id=f'{APP_ID}_dx_panel_input', type="number", min=0., value=2., step='any'),
],
className="mb-3",
)
])
]),
dbc.Col([
dbc.Form([
html.Div([
dbc.Label('Displacement Scale Factor', html_for=f'{APP_ID}_scale_input'),
dbc.Input(id=f'{APP_ID}_scale_input', type="number", value=5.),
],
className="mb-3",
)
]),
dbc.Form([
html.Div([
dbc.Label('Show Edges', html_for=f'{APP_ID}_show_edges_switch'),
dbc.Switch(
id=f'{APP_ID}_show_edges_switch',
label='Show Edges',
value=True,
),
],
className="mb-3",
)
])
]),
],
className="mt-3",
)
]
),
dbc.Row([
dbc.Col([
html.Progress(id=f'{APP_ID}_progress_bar', value='0', max='10', style={'visibility':"hidden"}),
])
]),
dbc.Row([
dbc.Col([
html.Div(
style={"width": "100%", "height": "60vh"},
children=[
dash_vtk.View(
id=f'{APP_ID}_vtk_view',
children=dash_vtk.GeometryRepresentation(
id=f'{APP_ID}_geom_rep_mesh',
children=[],
property={"edgeVisibility": True, "opacity": 1, "pointSize": 20, "lineWidth": 2},
colorMapPreset="Plasma (matplotlib)",
),
),
]
)
],
width=10
),
dbc.Col([
dcc.Graph(
id=f'{APP_ID}_results_colorbar_graph',
style={"width": "100%", "height": "60vh"},
),
],
width=2
)
],
className="g-0"
),
dbc.Row([
dbc.Col(
id=f'{APP_ID}_mem_sene_dt_div',
),
],
className="mt-3"
)
])
@app.callback(
Output(f'{APP_ID}_options_collapse', "is_open"),
[Input(f'{APP_ID}_options_collapse_button', "n_clicks")],
[State(f'{APP_ID}_options_collapse', "is_open")],
)
def toggle_options_collapse(n, is_open):
if n:
return not is_open
return is_open
@app.long_callback(
Output(f'{APP_ID}_geom_rep_mesh', 'children'),
Output(f'{APP_ID}_geom_rep_mesh', 'colorDataRange'),
Output(f'{APP_ID}_results_colorbar_graph', 'figure'),
Output(f'{APP_ID}_mem_sene_dt_div', 'children'),
Input(f'{APP_ID}_solve_button', 'n_clicks'),
State(f'{APP_ID}_n_panels_input', 'value'),
State(f'{APP_ID}_w_panel_input','value'),
State(f'{APP_ID}_h_panel_input', 'value'),
State(f'{APP_ID}_nsm_input', 'value'),
State(f'{APP_ID}_tfs_input', 'value'),
State(f'{APP_ID}_k_hinge_input', 'value'),
State(f'{APP_ID}_dx_panel_input', 'value'),
State(f'{APP_ID}_tc_input', 'value'),
State(f'{APP_ID}_scale_input', 'value'),
prevent_initial_call=True,
running=[
(Output(f'{APP_ID}_solve_button', "disabled"), True, False),
(
Output(f'{APP_ID}_progress_bar', "style"),
{"visibility": "visible"},
{"visibility": "hidden"},
),
],
progress=[Output(f'{APP_ID}_progress_bar', "value"), Output(f'{APP_ID}_progress_bar', "max")],
)
def dash_vtk_update_grid(set_progress, n_clicks, n_panels, panel_w, panel_h, nsm_pv, tfs, k_hinge, dx_panel, tc, scale):
if any([v is None for v in [n_clicks, n_panels, panel_w, panel_h, nsm_pv, tfs, k_hinge, dx_panel, tc, scale]]):
raise PreventUpdate
set_progress((str(1), str(10)))
res, ugrid, df_sene_mem = make_pv_array(panel_w, panel_h, n_panels=n_panels, nsm_pv=nsm_pv, tc=tc, tfs=tfs, k_hinge=k_hinge, dx_panel=dx_panel, prog=set_progress)
set_progress((str(8), str(10)))
f0 = df_sene_mem['freq'].iloc[0]
dof ='uZ'
ugrid = plot_nodal_disp(ugrid, res, scale=scale, dof=dof)
view_max = ugrid[dof].max()
view_min = ugrid[dof].min()
rng = [view_min, view_max]
fig_cb = make_colorbar(f'Z Displacement (in)<Br>Freq: {f0:0.3f}', rng)
mesh_state = to_mesh_state(ugrid, field_to_keep=dof)
set_progress((str(9), str(10)))
dt = dash_table.DataTable(
data=df_sene_mem.to_dict('records'),
sort_action='native',
columns=[
{'name': 'Mode', 'id': 'mode', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.decimal_integer)},
{'name': 'Frequency (Hz)', 'id': 'freq', 'type': 'numeric', 'format': Format(precision=3, scheme=Scheme.decimal)},
{'name': 'TX', 'id': 'TX', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
{'name': 'TY', 'id': 'TY', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
{'name': 'TZ', 'id': 'TZ', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
{'name': 'RX', 'id': 'RX', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
{'name': 'RY', 'id': 'RY', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
{'name': 'RZ', 'id': 'RZ', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
{'name': 'SENE Hinges', 'id': 'joint', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
{'name': 'SENE Panels', 'id': 'shell', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
],
style_data_conditional=(
data_bars(df_sene_mem, 'TX', clr='rgb(11, 94, 215)') +
data_bars(df_sene_mem, 'TY', clr='rgb(11, 94, 215)') +
data_bars(df_sene_mem, 'TZ', clr='rgb(11, 94, 215)') +
data_bars(df_sene_mem, 'RX', clr='rgb(11, 94, 215)') +
data_bars(df_sene_mem, 'RY', clr='rgb(11, 94, 215)') +
data_bars(df_sene_mem, 'RZ', clr='rgb(11, 94, 215)') +
data_bars(df_sene_mem, 'joint', clr='rgb(11, 94, 215)') +
data_bars(df_sene_mem, 'shell', clr='rgb(11, 94, 215)')
),
)
set_progress((str(10), str(10)))
return dash_vtk.Mesh(state=mesh_state), rng, fig_cb, dt
@app.callback(
Output(f'{APP_ID}_geom_rep_mesh', 'property'),
Input(f'{APP_ID}_show_edges_switch', 'value')
)
def pyansys_mapdl_show_edges(show_edges):
if show_edges is None:
raise PreventUpdate
return {"edgeVisibility": show_edges, "opacity": 1, "pointSize": 20, "lineWidth": 2}
if __name__ == '__main__':
app.run_server(debug=True)