def test_freq():
for model in ['plate_clt_donnell_bardell',
'plate_clt_donnell_bardell_w',
'cpanel_clt_donnell_bardell',
'kpanel_clt_donnell_bardell']:
for atype in [3, 4]:
print('Frequency Analysis, atype={0}, model={1}'.format(
atype, model))
p = Panel()
p.model = model
p.bc_ssss()
p.a = 1.
p.b = 0.5
p.r = 1.e8
p.alphadeg = 0.
p.stack = [0, 90, -45, +45]
p.plyt = 1e-3*0.125
p.laminaprop = (142.5e9, 8.7e9, 0.28, 5.1e9, 5.1e9, 5.1e9)
p.mu = 1.3e3
p.m = 11
p.n = 12
p.Nxx = -60.
p.Nyy = -5.
p.freq(sparse_solver=True, reduced_dof=False, silent=True,
atype=atype)
if atype == 3:
if '_w' in model:
assert np.allclose(p.eigvals[0], 19.9271684726)
else:
assert np.allclose(p.eigvals[0], 17.8587479369)
elif atype == 4:
if '_w' in model:
assert np.allclose(p.eigvals[0], 40.3728103572)
else:
assert np.allclose(p.eigvals[0], 39.3147553173)
def test_panel_aero():
for model in ['plate_clt_donnell_bardell',
'plate_clt_donnell_bardell_w',
'cpanel_clt_donnell_bardell']:
for atype in [1, 2]:
print('Flutter Analysis Piston Theory, atype={0}, model={1}'.
format(atype, model))
p = Panel()
p.model = model
p.a = 1.
p.b = 0.5
p.r = 1.e8
p.alphadeg = 0.
p.stack = [0, 90, -45, +45]
p.plyt = 1e-3*0.125
E2 = 8.7e9
p.laminaprop = (142.5e9, E2, 0.28, 5.1e9, 5.1e9, 5.1e9)
p.mu = 1.5e3
p.m = 8
p.n = 9
# pre-stress applied when atype == 1
p.Nxx = -60.
p.Nyy = -5.
# testing commong methodology based on betastar
if atype == 1:
betasstar = np.linspace(150, 350, 40)
elif atype == 2:
betasstar = np.linspace(670, 690, 40)
betas = betasstar/(p.a**3/E2/(len(p.stack)*p.plyt)**3)
p.beta = betas[0]
p.freq(atype=1, reduced_dof=False, sparse_solver=False,
silent=True)
out = np.zeros((len(betasstar), p.eigvals.shape[0]),
dtype=p.eigvals.dtype)
for i, beta in enumerate(betas):
p.beta = beta
p.freq(atype=2, reduced_dof=False, sparse_solver=False,
silent=True)
eigvals = p.eigvals*p.a**2/(np.pi**2*sum(p.plyts))*np.sqrt(p.mu/E2)
out[i, :] = eigvals
ind = np.where(np.any(out.imag != 0, axis=1))[0][0]
if atype == 1:
if not model.endswith('_w'):
assert np.isclose(betas[ind], 347.16346, atol=0.1, rtol=0)
else:
assert np.isclose(betas[ind], 174.27885, atol=0.1, rtol=0)
elif atype == 2:
if not model.endswith('_w'):
assert np.isclose(betas[ind], 728.625, atol=0.1, rtol=0)
else:
assert np.isclose(betas[ind], 728.625, atol=0.1, rtol=0)
def test_4panels_kt_kr():
"""Compare result of 4 assembled panels with single-domain results
The panel assembly looks like::
_________ _____
| | |
| | |
| p01 | p02 |
| | |
|_________|_____|
| p03 | p04 |
| | |
| | |
| | |
| | |
| | |
|_________|_____|
"""
print('Testing validity of the default kt and kr values')
plyt = 1.e-3 * 0.125
laminaprop=(142.5e9, 8.7e9, 0.28, 5.1e9, 5.1e9, 5.1e9)
stack=[0, 45, -45, 90, -45, 45, 0]
lam = laminate.read_stack(stack=stack, plyt=plyt, laminaprop=laminaprop)
mu=1.3e3
r = 10.
m = 8
n = 8
a1 = 1.5
a2 = 1.5
a3 = 2.5
a4 = 2.5
b1 = 1.5
b2 = 0.5
b3 = 1.5
b4 = 0.5
A11 = lam.ABD[0, 0]
A22 = lam.ABD[1, 1]
D11 = lam.ABD[3, 3]
D22 = lam.ABD[4, 4]
p01 = Panel(group='panels', x0=a3, y0=b2, a=a1, b=b1, r=r, m=m, n=n, plyt=plyt, stack=stack, laminaprop=laminaprop, mu=mu)
p02 = Panel(group='panels', x0=a3, y0=0, a=a2, b=b2, r=r, m=m, n=n, plyt=plyt, stack=stack, laminaprop=laminaprop, mu=mu)
p03 = Panel(group='panels', x0=0, y0=b2, a=a3, b=b3, r=r, m=m, n=n, plyt=plyt, stack=stack, laminaprop=laminaprop, mu=mu)
p04 = Panel(group='panels', x0=0, y0=0, a=a4, b=b4, r=r, m=m, n=n, plyt=plyt, stack=stack, laminaprop=laminaprop, mu=mu)
kt13, kr13 = connections.calc_kt_kr(p01, p03, 'xcte')
kt24, kr24 = connections.calc_kt_kr(p02, p04, 'xcte')
kt12, kr12 = connections.calc_kt_kr(p01, p02, 'ycte')
kt34, kr34 = connections.calc_kt_kr(p03, p04, 'ycte')
# boundary conditions
p01.u1tx = 1 ; p01.u1rx = 1 ; p01.u2tx = 0 ; p01.u2rx = 1
p01.v1tx = 1 ; p01.v1rx = 1 ; p01.v2tx = 0 ; p01.v2rx = 1
p01.w1tx = 1 ; p01.w1rx = 1 ; p01.w2tx = 0 ; p01.w2rx = 1
p01.u1ty = 1 ; p01.u1ry = 1 ; p01.u2ty = 0 ; p01.u2ry = 1
p01.v1ty = 1 ; p01.v1ry = 1 ; p01.v2ty = 0 ; p01.v2ry = 1
p01.w1ty = 1 ; p01.w1ry = 1 ; p01.w2ty = 0 ; p01.w2ry = 1
p02.u1tx = 1 ; p02.u1rx = 1 ; p02.u2tx = 0 ; p02.u2rx = 1
p02.v1tx = 1 ; p02.v1rx = 1 ; p02.v2tx = 0 ; p02.v2rx = 1
p02.w1tx = 1 ; p02.w1rx = 1 ; p02.w2tx = 0 ; p02.w2rx = 1
p02.u1ty = 0 ; p02.u1ry = 1 ; p02.u2ty = 1 ; p02.u2ry = 1
p02.v1ty = 0 ; p02.v1ry = 1 ; p02.v2ty = 1 ; p02.v2ry = 1
p02.w1ty = 0 ; p02.w1ry = 1 ; p02.w2ty = 1 ; p02.w2ry = 1
p03.u1tx = 0 ; p03.u1rx = 1 ; p03.u2tx = 1 ; p03.u2rx = 1
p03.v1tx = 0 ; p03.v1rx = 1 ; p03.v2tx = 1 ; p03.v2rx = 1
p03.w1tx = 0 ; p03.w1rx = 1 ; p03.w2tx = 1 ; p03.w2rx = 1
p03.u1ty = 1 ; p03.u1ry = 1 ; p03.u2ty = 0 ; p03.u2ry = 1
p03.v1ty = 1 ; p03.v1ry = 1 ; p03.v2ty = 0 ; p03.v2ry = 1
p03.w1ty = 1 ; p03.w1ry = 1 ; p03.w2ty = 0 ; p03.w2ry = 1
p04.u1tx = 0 ; p04.u1rx = 1 ; p04.u2tx = 1 ; p04.u2rx = 1
p04.v1tx = 0 ; p04.v1rx = 1 ; p04.v2tx = 1 ; p04.v2rx = 1
p04.w1tx = 0 ; p04.w1rx = 1 ; p04.w2tx = 1 ; p04.w2rx = 1
p04.u1ty = 0 ; p04.u1ry = 1 ; p04.u2ty = 1 ; p04.u2ry = 1
p04.v1ty = 0 ; p04.v1ry = 1 ; p04.v2ty = 1 ; p04.v2ry = 1
p04.w1ty = 0 ; p04.w1ry = 1 ; p04.w2ty = 1 ; p04.w2ry = 1
conndict = [
dict(p1=p01, p2=p02, func='SSycte', ycte1=0, ycte2=p02.b, kt=kt12, kr=kr12),
dict(p1=p01, p2=p03, func='SSxcte', xcte1=0, xcte2=p03.a, kt=kt13, kr=kr13),
dict(p1=p02, p2=p04, func='SSxcte', xcte1=0, xcte2=p04.a, kt=kt24, kr=kr24),
dict(p1=p03, p2=p04, func='SSycte', ycte1=0, ycte2=p04.b, kt=kt34, kr=kr34),
]
panels = [p01, p02, p03, p04]
size = sum([3*p.m*p.n for p in panels])
k0 = 0
kM = 0
row0 = 0
col0 = 0
for p in panels:
k0 += p.calc_k0(row0=row0, col0=col0, size=size, silent=True, finalize=False)
kM += p.calc_kM(row0=row0, col0=col0, size=size, silent=True, finalize=False)
p.row_start = row0
p.col_start = col0
row0 += 3*p.m*p.n
col0 += 3*p.m*p.n
p.row_end = row0
p.col_end = col0
for conn in conndict:
if conn.get('has_deffect'): # connecting if there is no deffect
continue
p1 = conn['p1']
p2 = conn['p2']
if conn['func'] == 'SSycte':
k0 += connections.kCSSycte.fkCSSycte11(
conn['kt'], conn['kr'], p1, conn['ycte1'],
size, p1.row_start, col0=p1.col_start)
k0 += connections.kCSSycte.fkCSSycte12(
conn['kt'], conn['kr'], p1, p2, conn['ycte1'], conn['ycte2'],
size, p1.row_start, col0=p2.col_start)
k0 += connections.kCSSycte.fkCSSycte22(
conn['kt'], conn['kr'], p1, p2, conn['ycte2'],
size, p2.row_start, col0=p2.col_start)
elif conn['func'] == 'SSxcte':
k0 += connections.kCSSxcte.fkCSSxcte11(
conn['kt'], conn['kr'], p1, conn['xcte1'],
size, p1.row_start, col0=p1.col_start)
k0 += connections.kCSSxcte.fkCSSxcte12(
conn['kt'], conn['kr'], p1, p2, conn['xcte1'], conn['xcte2'],
size, p1.row_start, col0=p2.col_start)
k0 += connections.kCSSxcte.fkCSSxcte22(
conn['kt'], conn['kr'], p1, p2, conn['xcte2'],
size, p2.row_start, col0=p2.col_start)
assert np.any(np.isnan(k0.data)) == False
assert np.any(np.isinf(k0.data)) == False
k0 = csr_matrix(make_symmetric(k0))
assert np.any(np.isnan(kM.data)) == False
assert np.any(np.isinf(kM.data)) == False
kM = csr_matrix(make_symmetric(kM))
eigvals, eigvecs = freq(k0, kM, tol=0, sparse_solver=True, silent=True,
sort=True, reduced_dof=False,
num_eigvalues=25, num_eigvalues_print=5)
# Results for single panel
m = 15
n = 15
singlepanel = Panel(a=(a1+a3), b=(b1+b2), r=r, m=m, n=n, plyt=plyt, stack=stack, laminaprop=laminaprop, mu=mu)
singlepanel.freq(silent=True)
assert np.isclose(eigvals[0], singlepanel.eigvals[0], atol=0.01, rtol=0.01)
def test_panel_aero():
for model in [
'plate_clt_donnell_bardell', 'plate_clt_donnell_bardell_w',
'cpanel_clt_donnell_bardell'
]:
for atype in [1, 2]:
print(
'Flutter Analysis Piston Theory, atype={0}, model={1}'.format(
atype, model))
p = Panel()
p.model = model
p.a = 1.
p.b = 0.5
p.r = 1.e8
p.alphadeg = 0.
p.stack = [0, 90, -45, +45]
p.plyt = 1e-3 * 0.125
E2 = 8.7e9
p.laminaprop = (142.5e9, E2, 0.28, 5.1e9, 5.1e9, 5.1e9)
p.mu = 1.5e3
p.m = 8
p.n = 9
# pre-stress applied when atype == 1
p.Nxx = -60.
p.Nyy = -5.
# testing commong methodology based on betastar
if atype == 1:
betasstar = np.linspace(150, 350, 40)
elif atype == 2:
betasstar = np.linspace(670, 690, 40)
betas = betasstar / (p.a**3 / E2 / (len(p.stack) * p.plyt)**3)
p.beta = betas[0]
p.freq(atype=1,
reduced_dof=False,
sparse_solver=False,
silent=True)
out = np.zeros((len(betasstar), p.eigvals.shape[0]),
dtype=p.eigvals.dtype)
for i, beta in enumerate(betas):
p.beta = beta
p.freq(atype=2,
reduced_dof=False,
sparse_solver=False,
silent=True)
eigvals = p.eigvals * p.a**2 / (
np.pi**2 * sum(p.plyts)) * np.sqrt(p.mu / E2)
out[i, :] = eigvals
ind = np.where(np.any(out.imag != 0, axis=1))[0][0]
if atype == 1:
if not model.endswith('_w'):
assert np.isclose(betas[ind], 347.16346, atol=0.1, rtol=0)
else:
assert np.isclose(betas[ind], 174.27885, atol=0.1, rtol=0)
elif atype == 2:
if not model.endswith('_w'):
assert np.isclose(betas[ind], 728.625, atol=0.1, rtol=0)
else:
assert np.isclose(betas[ind], 728.625, atol=0.1, rtol=0)
def test_4panels_kt_kr():
"""Compare result of 4 assembled panels with single-domain results
The panel assembly looks like::
_________ _____
| | |
| | |
| p01 | p02 |
| | |
|_________|_____|
| p03 | p04 |
| | |
| | |
| | |
| | |
| | |
|_________|_____|
"""
print('Testing validity of the default kt and kr values')
plyt = 1.e-3 * 0.125
laminaprop = (142.5e9, 8.7e9, 0.28, 5.1e9, 5.1e9, 5.1e9)
stack = [0, 45, -45, 90, -45, 45, 0]
lam = laminate.read_stack(stack=stack, plyt=plyt, laminaprop=laminaprop)
mu = 1.3e3
r = 10.
m = 8
n = 8
a1 = 1.5
a2 = 1.5
a3 = 2.5
a4 = 2.5
b1 = 1.5
b2 = 0.5
b3 = 1.5
b4 = 0.5
A11 = lam.ABD[0, 0]
A22 = lam.ABD[1, 1]
D11 = lam.ABD[3, 3]
D22 = lam.ABD[4, 4]
p01 = Panel(group='panels',
x0=a3,
y0=b2,
a=a1,
b=b1,
r=r,
m=m,
n=n,
plyt=plyt,
stack=stack,
laminaprop=laminaprop,
mu=mu)
p02 = Panel(group='panels',
x0=a3,
y0=0,
a=a2,
b=b2,
r=r,
m=m,
n=n,
plyt=plyt,
stack=stack,
laminaprop=laminaprop,
mu=mu)
p03 = Panel(group='panels',
x0=0,
y0=b2,
a=a3,
b=b3,
r=r,
m=m,
n=n,
plyt=plyt,
stack=stack,
laminaprop=laminaprop,
mu=mu)
p04 = Panel(group='panels',
x0=0,
y0=0,
a=a4,
b=b4,
r=r,
m=m,
n=n,
plyt=plyt,
stack=stack,
laminaprop=laminaprop,
mu=mu)
kt13, kr13 = connections.calc_kt_kr(p01, p03, 'xcte')
kt24, kr24 = connections.calc_kt_kr(p02, p04, 'xcte')
kt12, kr12 = connections.calc_kt_kr(p01, p02, 'ycte')
kt34, kr34 = connections.calc_kt_kr(p03, p04, 'ycte')
# boundary conditions
p01.u1tx = 1
p01.u1rx = 1
p01.u2tx = 0
p01.u2rx = 1
p01.v1tx = 1
p01.v1rx = 1
p01.v2tx = 0
p01.v2rx = 1
p01.w1tx = 1
p01.w1rx = 1
p01.w2tx = 0
p01.w2rx = 1
p01.u1ty = 1
p01.u1ry = 1
p01.u2ty = 0
p01.u2ry = 1
p01.v1ty = 1
p01.v1ry = 1
p01.v2ty = 0
p01.v2ry = 1
p01.w1ty = 1
p01.w1ry = 1
p01.w2ty = 0
p01.w2ry = 1
p02.u1tx = 1
p02.u1rx = 1
p02.u2tx = 0
p02.u2rx = 1
p02.v1tx = 1
p02.v1rx = 1
p02.v2tx = 0
p02.v2rx = 1
p02.w1tx = 1
p02.w1rx = 1
p02.w2tx = 0
p02.w2rx = 1
p02.u1ty = 0
p02.u1ry = 1
p02.u2ty = 1
p02.u2ry = 1
p02.v1ty = 0
p02.v1ry = 1
p02.v2ty = 1
p02.v2ry = 1
p02.w1ty = 0
p02.w1ry = 1
p02.w2ty = 1
p02.w2ry = 1
p03.u1tx = 0
p03.u1rx = 1
p03.u2tx = 1
p03.u2rx = 1
p03.v1tx = 0
p03.v1rx = 1
p03.v2tx = 1
p03.v2rx = 1
p03.w1tx = 0
p03.w1rx = 1
p03.w2tx = 1
p03.w2rx = 1
p03.u1ty = 1
p03.u1ry = 1
p03.u2ty = 0
p03.u2ry = 1
p03.v1ty = 1
p03.v1ry = 1
p03.v2ty = 0
p03.v2ry = 1
p03.w1ty = 1
p03.w1ry = 1
p03.w2ty = 0
p03.w2ry = 1
p04.u1tx = 0
p04.u1rx = 1
p04.u2tx = 1
p04.u2rx = 1
p04.v1tx = 0
p04.v1rx = 1
p04.v2tx = 1
p04.v2rx = 1
p04.w1tx = 0
p04.w1rx = 1
p04.w2tx = 1
p04.w2rx = 1
p04.u1ty = 0
p04.u1ry = 1
p04.u2ty = 1
p04.u2ry = 1
p04.v1ty = 0
p04.v1ry = 1
p04.v2ty = 1
p04.v2ry = 1
p04.w1ty = 0
p04.w1ry = 1
p04.w2ty = 1
p04.w2ry = 1
conndict = [
dict(p1=p01,
p2=p02,
func='SSycte',
ycte1=0,
ycte2=p02.b,
kt=kt12,
kr=kr12),
dict(p1=p01,
p2=p03,
func='SSxcte',
xcte1=0,
xcte2=p03.a,
kt=kt13,
kr=kr13),
dict(p1=p02,
p2=p04,
func='SSxcte',
xcte1=0,
xcte2=p04.a,
kt=kt24,
kr=kr24),
dict(p1=p03,
p2=p04,
func='SSycte',
ycte1=0,
ycte2=p04.b,
kt=kt34,
kr=kr34),
]
panels = [p01, p02, p03, p04]
size = sum([3 * p.m * p.n for p in panels])
k0 = 0
kM = 0
row0 = 0
col0 = 0
for p in panels:
k0 += p.calc_k0(row0=row0,
col0=col0,
size=size,
silent=True,
finalize=False)
kM += p.calc_kM(row0=row0,
col0=col0,
size=size,
silent=True,
finalize=False)
p.row_start = row0
p.col_start = col0
row0 += 3 * p.m * p.n
col0 += 3 * p.m * p.n
p.row_end = row0
p.col_end = col0
for conn in conndict:
if conn.get('has_deffect'): # connecting if there is no deffect
continue
p1 = conn['p1']
p2 = conn['p2']
if conn['func'] == 'SSycte':
k0 += connections.kCSSycte.fkCSSycte11(conn['kt'],
conn['kr'],
p1,
conn['ycte1'],
size,
p1.row_start,
col0=p1.col_start)
k0 += connections.kCSSycte.fkCSSycte12(conn['kt'],
conn['kr'],
p1,
p2,
conn['ycte1'],
conn['ycte2'],
size,
p1.row_start,
col0=p2.col_start)
k0 += connections.kCSSycte.fkCSSycte22(conn['kt'],
conn['kr'],
p1,
p2,
conn['ycte2'],
size,
p2.row_start,
col0=p2.col_start)
elif conn['func'] == 'SSxcte':
k0 += connections.kCSSxcte.fkCSSxcte11(conn['kt'],
conn['kr'],
p1,
conn['xcte1'],
size,
p1.row_start,
col0=p1.col_start)
k0 += connections.kCSSxcte.fkCSSxcte12(conn['kt'],
conn['kr'],
p1,
p2,
conn['xcte1'],
conn['xcte2'],
size,
p1.row_start,
col0=p2.col_start)
k0 += connections.kCSSxcte.fkCSSxcte22(conn['kt'],
conn['kr'],
p1,
p2,
conn['xcte2'],
size,
p2.row_start,
col0=p2.col_start)
assert np.any(np.isnan(k0.data)) == False
assert np.any(np.isinf(k0.data)) == False
k0 = csr_matrix(make_symmetric(k0))
assert np.any(np.isnan(kM.data)) == False
assert np.any(np.isinf(kM.data)) == False
kM = csr_matrix(make_symmetric(kM))
eigvals, eigvecs = freq(k0,
kM,
tol=0,
sparse_solver=True,
silent=True,
sort=True,
reduced_dof=False,
num_eigvalues=25,
num_eigvalues_print=5)
# Results for single panel
m = 15
n = 15
singlepanel = Panel(a=(a1 + a3),
b=(b1 + b2),
r=r,
m=m,
n=n,
plyt=plyt,
stack=stack,
laminaprop=laminaprop,
mu=mu)
singlepanel.freq(silent=True)
assert np.isclose(eigvals[0], singlepanel.eigvals[0], atol=0.01, rtol=0.01)
