Module weac.eigensystem
Base class for the elastic analysis of layered snow slabs.
Expand source code
"""Base class for the elastic analysis of layered snow slabs."""
# pylint: disable=invalid-name,too-many-arguments,too-many-instance-attributes
# Third party imports
import numpy as np
# Project imports
from weac.tools import gerling, calc_center_of_gravity, load_dummy_profile
class Eigensystem:
"""
Base class for a layered beam on an elastic foundation.
Provides geometry, material and loading attributes, and methods
for the assembly of a fundamental system.
Attributes
----------
g : float
Gravitational constant (mm/s^2). Default is 9180.
lski : float
Effective out-of-plance length of skis (mm). Default is 1000.
tol : float
Relative Romberg integration toleranc. Default is 1e-3.
system : str
Type of boundary value problem. Default is 'pst-'.
weak : dict
Dictionary that holds the weak layer properties Young's
modulus (MPa) and Poisson's raito. Defaults are 0.25
and 0.25, respectively.
t : float
Weak-layer thickness (mm). Default is 30.
kn : float
Compressive foundation (weak-layer) stiffness (N/mm^3).
kt : float
Shear foundation (weak-layer) stiffness (N/mm^3).
slab : ndarray
Matrix that holds the elastic properties of all slab layers.
Columns are density (kg/m^3), layer heigth (mm), Young's
modulus (MPa), shear modulus (MPa), and Poisson's ratio.
k : float
Shear correction factor of the slab. Default is 5/6.
h : float
Slab thickness (mm). Default is 300.
zs : float
Z-coordinate of the center of gravity of the slab (mm).
A11 : float
Extensional stiffness of the slab (N/mm).
B11 : float
Bending-extension coupling stiffness of the slab (N).
D11 : float
Bending stiffness of the slab (Nmm).
kA55 : float
Shear stiffness of the slab (N/mm).
E0 : float
Characteristic stiffness value (N).
ewC : ndarray
List of complex eigenvalues.
ewR : ndarray
List of real eigenvalues.
evC : ndarray
Matrix with eigenvectors corresponding to complex
eigenvalues as columns.
evR : ndarray
Matrix with eigenvectors corresponding to real
eigenvalues as columns.
sC : float
X-coordinate shift (mm) of complex parts of the solution.
Used for numerical stability.
sR : float
X-coordinate shift (mm) of real parts of the solution.
Used for numerical stability.
sysmat : ndarray
System matrix.
"""
def __init__(self, system='pst-'):
"""
Initialize eigensystem with user input.
Arguments
---------
system : {'pst-', '-pst', 'skier', 'skiers'}, optional
Type of system to analyse: PST cut from the right (pst-),
PST cut form the left (-pst), one skier on infinite
slab (skier) or multiple skiers on infinite slab (skeirs).
Default is 'pst-'.
layers : list, optional
2D list of layer densities and thicknesses. Columns are
density (kg/m^3) and thickness (mm). One row corresponds
to one layer. Default is [[240, 200], ].
"""
# Assign global attributes
self.g = 9810 # Gravitaiton (mm/s^2)
self.lski = 1000 # Effective out-of-plane length of skis (mm)
self.tol = 1e-3 # Relative Romberg integration tolerance
self.system = system # 'pst-', '-pst', 'skier', 'skiers'
# Initialize weak-layer attributes that will be filled later
self.weak = False # Weak-layer properties dictionary
self.t = False # Weak-layer thickness (mm)
self.kn = False # Weak-layer compressive stiffness
self.kt = False # Weak-layer shear stiffness
# Initialize slab attributes
self.slab = False # Slab properties dictionary
self.k = False # Slab shear correction factor
self.h = False # Total slab height (mm)
self.zs = False # Z-coordinate of slab center of gravity (mm)
self.A11 = False # Slab extensional stiffness
self.B11 = False # Slab bending-extension coupling stiffness
self.D11 = False # Slab bending stiffness
self.kA55 = False # Slab shear stiffness
self.E0 = False # Stiffness determinant
# Inizialize eigensystem attributes
self.ewC = False # Complex eigenvalues
self.ewR = False # Real eigenvalues
self.evC = False # Complex eigenvectors
self.evR = False # Real eigenvectors
self.sC = False # Stability shift of complex eigenvalues
self.sR = False # Stability shift of real eigenvalues
self.sysmat = False # System matrix
def set_foundation_properties(self, t=30, E=0.25, nu=0.25):
"""
Set material properties and geometry of foundation (weak layer).
Arguments
---------
t : float, optional
Weak-layer thickness (mm). Default is 30.
E : float, optional
Weak-layer Young modulus (MPa). Default is 0.25.
nu : float, optional
Weak-layer Poisson ratio. Default is 0.25.
"""
# Geometry
self.t = t # Weak-layer thickness (mm)
# Material properties
self.weak = {
'nu': nu, # Poisson's ratio (-)
'E': E # Young's modulus (MPa)
}
def set_beam_properties(self, layers, C0=6.0, C1=4.60, nu=0.25):
"""
Set material and properties geometry of beam (slab).
Arguments
---------
layers : list or str
2D list of layer densities and thicknesses. Columns are
density (kg/m^3) and thickness (mm). One row corresponds
to one layer. If entered as str, last split must be
available in database.
C0 : float, optional
Multiplicative constant of Young modulus parametrization
according to Gerling et al. (2017). Default is 6.0.
C1 : float, optional
Exponent of Young modulus parameterization according to
Gerling et al. (2017). Default is 4.6.
nu : float, optional
Possion's ratio. Default is 0.25
"""
# Elastic properties and geometry
if isinstance(layers, str):
layers, E = load_dummy_profile(layers.split()[-1])
else:
layers = np.array(layers)
E = gerling(layers[:, 0], C0=C0, C1=C1) # Young's modulus
# Other elastic properties and geometry
nu = nu*np.ones(layers.shape[0]) # Global poisson's ratio
G = E/(2*(1 + nu)) # Shear modulus
self.k = 5/6 # Shear correction factor
# Assemble layering into matrix (bottom to top)
self.slab = np.flipud(np.vstack([layers.T, E, G, nu]).T)
# Compute center of gravity
self.h, self.zs = calc_center_of_gravity(layers)
def calc_foundation_stiffness(self):
"""Compute foundation normal and shear stiffness."""
# Plaine strain shear and Young's modulus (MPa)
G = self.weak['E']/(2*(1 + self.weak['nu']))
E = self.weak['E']/(1 - self.weak['nu']**2)
# Foundation stiffnesses
self.kn = E/self.t # Normal stiffness (N/mm^3)
self.kt = G/self.t # Shear stiffness (N/mm^3)
def calc_laminate_stiffness_matrix(self):
"""
Provide ABD matrix.
Return plane-strain laminate stiffness matrix (ABD matrix).
"""
# Number of plies, ply thicknesses
n = self.slab.shape[0]
t = self.slab[:, 1]
# Initialize ply coordinates (bottom to top in laminate CSYS)
z = np.zeros(n + 1)
for j in range(n + 1):
z[j] = -self.h/2 + \
sum(t[0:j])
# Initialize stiffness components
A11, B11, D11, kA55 = 0, 0, 0, 0
# Add layerwise contributions (sign of B11 to agree with beam CSYS)
for i in range(n):
# Add layerwise contributions
E, G, nu = self.slab[i, 2:5]
A11 = A11 + E/(1 - nu**2)*(z[i+1] - z[i])
B11 = B11 - 1/2*E/(1 - nu**2)*(z[i+1]**2 - z[i]**2)
D11 = D11 + 1/3*E/(1 - nu**2)*(z[i+1]**3 - z[i]**3)
kA55 = kA55 + self.k*G*(z[i+1] - z[i])
self.A11 = A11
self.B11 = B11
self.D11 = D11
self.kA55 = kA55
self.E0 = B11**2 - A11*D11
def calc_system_matrix(self):
"""
Assemble first-order ODE system matrix.
Using the solution vector z = [u, u', w, w', psi, psi']
the ODE system is written in the form Az' + Bz = d
and rearranged to z' = -(A ^ -1)Bz + (A ^ -1)d = Ez + F
"""
kn = self.kn
kt = self.kt
# Abbreviations (MIT t/2 im GGW, MIT w' in Kinematik)
E21 = kt*(-2*self.D11 + self.B11*(self.h + self.t))/(2*self.E0)
E24 = (2*self.D11*kt*self.t
- self.B11*kt*self.t*(self.h + self.t)
+ 4*self.B11*self.kA55)/(4*self.E0)
E25 = (-2*self.D11*self.h*kt
+ self.B11*self.h*kt*(self.h + self.t)
+ 4*self.B11*self.kA55)/(4*self.E0)
E43 = kn/self.kA55
E61 = kt*(2*self.B11 - self.A11*(self.h + self.t))/(2*self.E0)
E64 = (-2*self.B11*kt*self.t
+ self.A11*kt*self.t*(self.h+self.t)
- 4*self.A11*self.kA55)/(4*self.E0)
E65 = (2*self.B11*self.h*kt
- self.A11*self.h*kt*(self.h+self.t)
- 4*self.A11*self.kA55)/(4*self.E0)
# System matrix
E = [[0, 1, 0, 0, 0, 0],
[E21, 0, 0, E24, E25, 0],
[0, 0, 0, 1, 0, 0],
[0, 0, E43, 0, 0, -1],
[0, 0, 0, 0, 0, 1],
[E61, 0, 0, E64, E65, 0]]
self.sysmat = np.array(E)
def calc_eigensystem(self):
"""Run eigenvalue analysis of the system matrix."""
# Calculate eigenvalues (ew) and eigenvectors (ev)
ew, ev = np.linalg.eig(self.sysmat)
# Classify real and complex eigenvalues
real = (ew.imag == 0) & (ew.real != 0) # real eigenvalues
cmplx = ew.imag > 0 # positive complex conjugates
# Eigenvalues
self.ewC = ew[cmplx]
self.ewR = ew[real].real
# Eigenvectors
self.evC = ev[:, cmplx]
self.evR = ev[:, real].real
# Prepare positive eigenvalue shifts for numerical robustness
self.sR, self.sC = np.zeros(self.ewR.shape), np.zeros(self.ewC.shape)
self.sR[self.ewR > 0], self.sC[self.ewC > 0] = -1, -1
def get_weight_load(self, phi):
"""
Calculate line loads.
Arguments
---------
phi : float
Inclination (degrees).
Returns
-------
qn : float
Line load (N/mm) in normal direction.
qt : float
Line load (N/mm) in tangential direction.
"""
# Convert units
phi = np.deg2rad(phi) # Convert inclination to rad
rho = self.slab[:, 0]*1e-12 # Convert density to t/mm^3
# Sum up layer weight loads
q = sum(rho*self.g*self.slab[:, 1]) # Line load (N/mm)
# Split into components
qn = q*np.cos(phi) # Normal direction
qt = q*np.sin(phi) # Tangential direction
return qn, qt
def get_skier_load(self, m, phi):
"""
Calculate skier point load.
Arguments
---------
m : float
Skier weight (kg).
phi : float
Inclination (degrees).
Returns
-------
Fn : float
Skier load (N) in normal direction.
Ft : float
Skier load (N) in tangential direction.
"""
phi = np.deg2rad(phi) # Convert inclination to rad
F = 1e-3*np.array(m)*self.g/self.lski # Total skier load (N)
Fn = F*np.cos(phi) # Normal skier load (N)
Ft = F*np.sin(phi) # Tangential skier load (N)
return Fn, Ft
def zh(self, x, l=0, bed=True):
"""
Compute bedded or free complementary solution at position x.
Arguments
---------
x : float
Horizontal coordinate (mm).
l : float, optional
Segment length (mm). Default is 0.
bed : bool
Indicates whether segment has foundation or not. Default
is True.
Returns
-------
zh : ndarray
Complementary solution matrix (6x6) at position x.
"""
if bed:
zh = np.concatenate([
# Real
self.evR*np.exp(self.ewR*(x + l*self.sR)),
# Complex
np.exp(self.ewC.real*(x + l*self.sC))*(
self.evC.real*np.cos(self.ewC.imag*x)
- self.evC.imag*np.sin(self.ewC.imag*x)),
# Complex
np.exp(self.ewC.real*(x + l*self.sC))*(
self.evC.imag*np.cos(self.ewC.imag*x)
+ self.evC.real*np.sin(self.ewC.imag*x))], axis=1)
else:
# Abbreviations
H14 = 3*self.B11/self.A11*x**2
H24 = 6*self.B11/self.A11*x
H54 = -3*x**2 + 6*self.E0/(self.A11*self.kA55)
# Complementary solution matrix of free segments
zh = np.array(
[[0, 0, 0, H14, 1, x],
[0, 0, 0, H24, 0, 1],
[1, x, x**2, x**3, 0, 0],
[0, 1, 2*x, 3*x**2, 0, 0],
[0, -1, -2*x, H54, 0, 0],
[0, 0, -2, -6*x, 0, 0]])
return zh
def zp(self, x, phi, bed=True):
"""
Compute bedded or free particular integrals at position x.
Arguments
---------
x : float
Horizontal coordinate (mm).
phi : float
Inclination (degrees).
bed : bool
Indicates whether segment has foundation (True) or not
(False). Default is True.
Returns
-------
zp : ndarray
Particular integral vector (6x1) at position x.
"""
# Get weight load
qn, qt = self.get_weight_load(phi)
# Set foundation stiffness variables
kn = self.kn
kt = self.kt
# Assemble particular integral vectors
if bed:
zp = np.array([
[qt/kt + self.h*qt*(self.h + self.t
- 2*self.zs)/(4*self.kA55)],
[0],
[qn/kn],
[0],
[-qt*(self.h + self.t - 2*self.zs)/(2*self.kA55)],
[0]])
else:
zp = np.array([
[(-3*qt/self.A11 - self.B11*qn*x/self.E0)/6*x**2],
[(-2*qt/self.A11 - self.B11*qn*x/self.E0)/2*x],
[-self.A11*qn*x**4/(24*self.E0)],
[-self.A11*qn*x**3/(6*self.E0)],
[self.A11*qn*x**3/(6*self.E0) + (
(self.zs - self.B11/self.A11)*qt - qn*x)/self.kA55],
[self.A11*qn*x**2/(2*self.E0) - qn/self.kA55]])
return zp
def z(self, x, C, l, phi, bed=True):
"""
Assemble solution vector at positions x.
Arguments
---------
x : float or squence
Horizontal coordinate (mm). Can be sequence of length N.
C : ndarray
Vector of constants (6xN) at positions x.
l : float
Segment length (mm).
phi : float
Inclination (degrees).
bed : bool
Indicates whether segment has foundation (True) or not
(False). Default is True.
Returns
-------
z : ndarray
Solution vector (6xN) at position x.
"""
if isinstance(x, (list, tuple, np.ndarray)):
z = np.concatenate([
np.dot(self.zh(xi, l, bed), C)
+ self.zp(xi, phi, bed) for xi in x], axis=1)
else:
z = np.dot(self.zh(x, l, bed), C) + self.zp(x, phi, bed)
return zClasses
class Eigensystem (system='pst-')-
Base class for a layered beam on an elastic foundation.
Provides geometry, material and loading attributes, and methods for the assembly of a fundamental system.
Attributes
g:float- Gravitational constant (mm/s^2). Default is 9180.
lski:float- Effective out-of-plance length of skis (mm). Default is 1000.
tol:float- Relative Romberg integration toleranc. Default is 1e-3.
system:str- Type of boundary value problem. Default is 'pst-'.
weak:dict- Dictionary that holds the weak layer properties Young's modulus (MPa) and Poisson's raito. Defaults are 0.25 and 0.25, respectively.
t:float- Weak-layer thickness (mm). Default is 30.
kn:float- Compressive foundation (weak-layer) stiffness (N/mm^3).
kt:float- Shear foundation (weak-layer) stiffness (N/mm^3).
slab:ndarray- Matrix that holds the elastic properties of all slab layers. Columns are density (kg/m^3), layer heigth (mm), Young's modulus (MPa), shear modulus (MPa), and Poisson's ratio.
k:float- Shear correction factor of the slab. Default is 5/6.
h:float- Slab thickness (mm). Default is 300.
zs:float- Z-coordinate of the center of gravity of the slab (mm).
A11:float- Extensional stiffness of the slab (N/mm).
B11:float- Bending-extension coupling stiffness of the slab (N).
D11:float- Bending stiffness of the slab (Nmm).
kA55:float- Shear stiffness of the slab (N/mm).
E0:float- Characteristic stiffness value (N).
ewC:ndarray- List of complex eigenvalues.
ewR:ndarray- List of real eigenvalues.
evC:ndarray- Matrix with eigenvectors corresponding to complex eigenvalues as columns.
evR:ndarray- Matrix with eigenvectors corresponding to real eigenvalues as columns.
sC:float- X-coordinate shift (mm) of complex parts of the solution. Used for numerical stability.
sR:float- X-coordinate shift (mm) of real parts of the solution. Used for numerical stability.
sysmat:ndarray- System matrix.
Initialize eigensystem with user input.
Arguments
system:{'pst-', '-pst', 'skier', 'skiers'}, optional- Type of system to analyse: PST cut from the right (pst-), PST cut form the left (-pst), one skier on infinite slab (skier) or multiple skiers on infinite slab (skeirs). Default is 'pst-'.
layers:list, optional- 2D list of layer densities and thicknesses. Columns are density (kg/m^3) and thickness (mm). One row corresponds to one layer. Default is [[240, 200], ].
Expand source code
class Eigensystem: """ Base class for a layered beam on an elastic foundation. Provides geometry, material and loading attributes, and methods for the assembly of a fundamental system. Attributes ---------- g : float Gravitational constant (mm/s^2). Default is 9180. lski : float Effective out-of-plance length of skis (mm). Default is 1000. tol : float Relative Romberg integration toleranc. Default is 1e-3. system : str Type of boundary value problem. Default is 'pst-'. weak : dict Dictionary that holds the weak layer properties Young's modulus (MPa) and Poisson's raito. Defaults are 0.25 and 0.25, respectively. t : float Weak-layer thickness (mm). Default is 30. kn : float Compressive foundation (weak-layer) stiffness (N/mm^3). kt : float Shear foundation (weak-layer) stiffness (N/mm^3). slab : ndarray Matrix that holds the elastic properties of all slab layers. Columns are density (kg/m^3), layer heigth (mm), Young's modulus (MPa), shear modulus (MPa), and Poisson's ratio. k : float Shear correction factor of the slab. Default is 5/6. h : float Slab thickness (mm). Default is 300. zs : float Z-coordinate of the center of gravity of the slab (mm). A11 : float Extensional stiffness of the slab (N/mm). B11 : float Bending-extension coupling stiffness of the slab (N). D11 : float Bending stiffness of the slab (Nmm). kA55 : float Shear stiffness of the slab (N/mm). E0 : float Characteristic stiffness value (N). ewC : ndarray List of complex eigenvalues. ewR : ndarray List of real eigenvalues. evC : ndarray Matrix with eigenvectors corresponding to complex eigenvalues as columns. evR : ndarray Matrix with eigenvectors corresponding to real eigenvalues as columns. sC : float X-coordinate shift (mm) of complex parts of the solution. Used for numerical stability. sR : float X-coordinate shift (mm) of real parts of the solution. Used for numerical stability. sysmat : ndarray System matrix. """ def __init__(self, system='pst-'): """ Initialize eigensystem with user input. Arguments --------- system : {'pst-', '-pst', 'skier', 'skiers'}, optional Type of system to analyse: PST cut from the right (pst-), PST cut form the left (-pst), one skier on infinite slab (skier) or multiple skiers on infinite slab (skeirs). Default is 'pst-'. layers : list, optional 2D list of layer densities and thicknesses. Columns are density (kg/m^3) and thickness (mm). One row corresponds to one layer. Default is [[240, 200], ]. """ # Assign global attributes self.g = 9810 # Gravitaiton (mm/s^2) self.lski = 1000 # Effective out-of-plane length of skis (mm) self.tol = 1e-3 # Relative Romberg integration tolerance self.system = system # 'pst-', '-pst', 'skier', 'skiers' # Initialize weak-layer attributes that will be filled later self.weak = False # Weak-layer properties dictionary self.t = False # Weak-layer thickness (mm) self.kn = False # Weak-layer compressive stiffness self.kt = False # Weak-layer shear stiffness # Initialize slab attributes self.slab = False # Slab properties dictionary self.k = False # Slab shear correction factor self.h = False # Total slab height (mm) self.zs = False # Z-coordinate of slab center of gravity (mm) self.A11 = False # Slab extensional stiffness self.B11 = False # Slab bending-extension coupling stiffness self.D11 = False # Slab bending stiffness self.kA55 = False # Slab shear stiffness self.E0 = False # Stiffness determinant # Inizialize eigensystem attributes self.ewC = False # Complex eigenvalues self.ewR = False # Real eigenvalues self.evC = False # Complex eigenvectors self.evR = False # Real eigenvectors self.sC = False # Stability shift of complex eigenvalues self.sR = False # Stability shift of real eigenvalues self.sysmat = False # System matrix def set_foundation_properties(self, t=30, E=0.25, nu=0.25): """ Set material properties and geometry of foundation (weak layer). Arguments --------- t : float, optional Weak-layer thickness (mm). Default is 30. E : float, optional Weak-layer Young modulus (MPa). Default is 0.25. nu : float, optional Weak-layer Poisson ratio. Default is 0.25. """ # Geometry self.t = t # Weak-layer thickness (mm) # Material properties self.weak = { 'nu': nu, # Poisson's ratio (-) 'E': E # Young's modulus (MPa) } def set_beam_properties(self, layers, C0=6.0, C1=4.60, nu=0.25): """ Set material and properties geometry of beam (slab). Arguments --------- layers : list or str 2D list of layer densities and thicknesses. Columns are density (kg/m^3) and thickness (mm). One row corresponds to one layer. If entered as str, last split must be available in database. C0 : float, optional Multiplicative constant of Young modulus parametrization according to Gerling et al. (2017). Default is 6.0. C1 : float, optional Exponent of Young modulus parameterization according to Gerling et al. (2017). Default is 4.6. nu : float, optional Possion's ratio. Default is 0.25 """ # Elastic properties and geometry if isinstance(layers, str): layers, E = load_dummy_profile(layers.split()[-1]) else: layers = np.array(layers) E = gerling(layers[:, 0], C0=C0, C1=C1) # Young's modulus # Other elastic properties and geometry nu = nu*np.ones(layers.shape[0]) # Global poisson's ratio G = E/(2*(1 + nu)) # Shear modulus self.k = 5/6 # Shear correction factor # Assemble layering into matrix (bottom to top) self.slab = np.flipud(np.vstack([layers.T, E, G, nu]).T) # Compute center of gravity self.h, self.zs = calc_center_of_gravity(layers) def calc_foundation_stiffness(self): """Compute foundation normal and shear stiffness.""" # Plaine strain shear and Young's modulus (MPa) G = self.weak['E']/(2*(1 + self.weak['nu'])) E = self.weak['E']/(1 - self.weak['nu']**2) # Foundation stiffnesses self.kn = E/self.t # Normal stiffness (N/mm^3) self.kt = G/self.t # Shear stiffness (N/mm^3) def calc_laminate_stiffness_matrix(self): """ Provide ABD matrix. Return plane-strain laminate stiffness matrix (ABD matrix). """ # Number of plies, ply thicknesses n = self.slab.shape[0] t = self.slab[:, 1] # Initialize ply coordinates (bottom to top in laminate CSYS) z = np.zeros(n + 1) for j in range(n + 1): z[j] = -self.h/2 + \ sum(t[0:j]) # Initialize stiffness components A11, B11, D11, kA55 = 0, 0, 0, 0 # Add layerwise contributions (sign of B11 to agree with beam CSYS) for i in range(n): # Add layerwise contributions E, G, nu = self.slab[i, 2:5] A11 = A11 + E/(1 - nu**2)*(z[i+1] - z[i]) B11 = B11 - 1/2*E/(1 - nu**2)*(z[i+1]**2 - z[i]**2) D11 = D11 + 1/3*E/(1 - nu**2)*(z[i+1]**3 - z[i]**3) kA55 = kA55 + self.k*G*(z[i+1] - z[i]) self.A11 = A11 self.B11 = B11 self.D11 = D11 self.kA55 = kA55 self.E0 = B11**2 - A11*D11 def calc_system_matrix(self): """ Assemble first-order ODE system matrix. Using the solution vector z = [u, u', w, w', psi, psi'] the ODE system is written in the form Az' + Bz = d and rearranged to z' = -(A ^ -1)Bz + (A ^ -1)d = Ez + F """ kn = self.kn kt = self.kt # Abbreviations (MIT t/2 im GGW, MIT w' in Kinematik) E21 = kt*(-2*self.D11 + self.B11*(self.h + self.t))/(2*self.E0) E24 = (2*self.D11*kt*self.t - self.B11*kt*self.t*(self.h + self.t) + 4*self.B11*self.kA55)/(4*self.E0) E25 = (-2*self.D11*self.h*kt + self.B11*self.h*kt*(self.h + self.t) + 4*self.B11*self.kA55)/(4*self.E0) E43 = kn/self.kA55 E61 = kt*(2*self.B11 - self.A11*(self.h + self.t))/(2*self.E0) E64 = (-2*self.B11*kt*self.t + self.A11*kt*self.t*(self.h+self.t) - 4*self.A11*self.kA55)/(4*self.E0) E65 = (2*self.B11*self.h*kt - self.A11*self.h*kt*(self.h+self.t) - 4*self.A11*self.kA55)/(4*self.E0) # System matrix E = [[0, 1, 0, 0, 0, 0], [E21, 0, 0, E24, E25, 0], [0, 0, 0, 1, 0, 0], [0, 0, E43, 0, 0, -1], [0, 0, 0, 0, 0, 1], [E61, 0, 0, E64, E65, 0]] self.sysmat = np.array(E) def calc_eigensystem(self): """Run eigenvalue analysis of the system matrix.""" # Calculate eigenvalues (ew) and eigenvectors (ev) ew, ev = np.linalg.eig(self.sysmat) # Classify real and complex eigenvalues real = (ew.imag == 0) & (ew.real != 0) # real eigenvalues cmplx = ew.imag > 0 # positive complex conjugates # Eigenvalues self.ewC = ew[cmplx] self.ewR = ew[real].real # Eigenvectors self.evC = ev[:, cmplx] self.evR = ev[:, real].real # Prepare positive eigenvalue shifts for numerical robustness self.sR, self.sC = np.zeros(self.ewR.shape), np.zeros(self.ewC.shape) self.sR[self.ewR > 0], self.sC[self.ewC > 0] = -1, -1 def get_weight_load(self, phi): """ Calculate line loads. Arguments --------- phi : float Inclination (degrees). Returns ------- qn : float Line load (N/mm) in normal direction. qt : float Line load (N/mm) in tangential direction. """ # Convert units phi = np.deg2rad(phi) # Convert inclination to rad rho = self.slab[:, 0]*1e-12 # Convert density to t/mm^3 # Sum up layer weight loads q = sum(rho*self.g*self.slab[:, 1]) # Line load (N/mm) # Split into components qn = q*np.cos(phi) # Normal direction qt = q*np.sin(phi) # Tangential direction return qn, qt def get_skier_load(self, m, phi): """ Calculate skier point load. Arguments --------- m : float Skier weight (kg). phi : float Inclination (degrees). Returns ------- Fn : float Skier load (N) in normal direction. Ft : float Skier load (N) in tangential direction. """ phi = np.deg2rad(phi) # Convert inclination to rad F = 1e-3*np.array(m)*self.g/self.lski # Total skier load (N) Fn = F*np.cos(phi) # Normal skier load (N) Ft = F*np.sin(phi) # Tangential skier load (N) return Fn, Ft def zh(self, x, l=0, bed=True): """ Compute bedded or free complementary solution at position x. Arguments --------- x : float Horizontal coordinate (mm). l : float, optional Segment length (mm). Default is 0. bed : bool Indicates whether segment has foundation or not. Default is True. Returns ------- zh : ndarray Complementary solution matrix (6x6) at position x. """ if bed: zh = np.concatenate([ # Real self.evR*np.exp(self.ewR*(x + l*self.sR)), # Complex np.exp(self.ewC.real*(x + l*self.sC))*( self.evC.real*np.cos(self.ewC.imag*x) - self.evC.imag*np.sin(self.ewC.imag*x)), # Complex np.exp(self.ewC.real*(x + l*self.sC))*( self.evC.imag*np.cos(self.ewC.imag*x) + self.evC.real*np.sin(self.ewC.imag*x))], axis=1) else: # Abbreviations H14 = 3*self.B11/self.A11*x**2 H24 = 6*self.B11/self.A11*x H54 = -3*x**2 + 6*self.E0/(self.A11*self.kA55) # Complementary solution matrix of free segments zh = np.array( [[0, 0, 0, H14, 1, x], [0, 0, 0, H24, 0, 1], [1, x, x**2, x**3, 0, 0], [0, 1, 2*x, 3*x**2, 0, 0], [0, -1, -2*x, H54, 0, 0], [0, 0, -2, -6*x, 0, 0]]) return zh def zp(self, x, phi, bed=True): """ Compute bedded or free particular integrals at position x. Arguments --------- x : float Horizontal coordinate (mm). phi : float Inclination (degrees). bed : bool Indicates whether segment has foundation (True) or not (False). Default is True. Returns ------- zp : ndarray Particular integral vector (6x1) at position x. """ # Get weight load qn, qt = self.get_weight_load(phi) # Set foundation stiffness variables kn = self.kn kt = self.kt # Assemble particular integral vectors if bed: zp = np.array([ [qt/kt + self.h*qt*(self.h + self.t - 2*self.zs)/(4*self.kA55)], [0], [qn/kn], [0], [-qt*(self.h + self.t - 2*self.zs)/(2*self.kA55)], [0]]) else: zp = np.array([ [(-3*qt/self.A11 - self.B11*qn*x/self.E0)/6*x**2], [(-2*qt/self.A11 - self.B11*qn*x/self.E0)/2*x], [-self.A11*qn*x**4/(24*self.E0)], [-self.A11*qn*x**3/(6*self.E0)], [self.A11*qn*x**3/(6*self.E0) + ( (self.zs - self.B11/self.A11)*qt - qn*x)/self.kA55], [self.A11*qn*x**2/(2*self.E0) - qn/self.kA55]]) return zp def z(self, x, C, l, phi, bed=True): """ Assemble solution vector at positions x. Arguments --------- x : float or squence Horizontal coordinate (mm). Can be sequence of length N. C : ndarray Vector of constants (6xN) at positions x. l : float Segment length (mm). phi : float Inclination (degrees). bed : bool Indicates whether segment has foundation (True) or not (False). Default is True. Returns ------- z : ndarray Solution vector (6xN) at position x. """ if isinstance(x, (list, tuple, np.ndarray)): z = np.concatenate([ np.dot(self.zh(xi, l, bed), C) + self.zp(xi, phi, bed) for xi in x], axis=1) else: z = np.dot(self.zh(x, l, bed), C) + self.zp(x, phi, bed) return zSubclasses
Methods
def calc_eigensystem(self)-
Run eigenvalue analysis of the system matrix.
Expand source code
def calc_eigensystem(self): """Run eigenvalue analysis of the system matrix.""" # Calculate eigenvalues (ew) and eigenvectors (ev) ew, ev = np.linalg.eig(self.sysmat) # Classify real and complex eigenvalues real = (ew.imag == 0) & (ew.real != 0) # real eigenvalues cmplx = ew.imag > 0 # positive complex conjugates # Eigenvalues self.ewC = ew[cmplx] self.ewR = ew[real].real # Eigenvectors self.evC = ev[:, cmplx] self.evR = ev[:, real].real # Prepare positive eigenvalue shifts for numerical robustness self.sR, self.sC = np.zeros(self.ewR.shape), np.zeros(self.ewC.shape) self.sR[self.ewR > 0], self.sC[self.ewC > 0] = -1, -1 def calc_foundation_stiffness(self)-
Compute foundation normal and shear stiffness.
Expand source code
def calc_foundation_stiffness(self): """Compute foundation normal and shear stiffness.""" # Plaine strain shear and Young's modulus (MPa) G = self.weak['E']/(2*(1 + self.weak['nu'])) E = self.weak['E']/(1 - self.weak['nu']**2) # Foundation stiffnesses self.kn = E/self.t # Normal stiffness (N/mm^3) self.kt = G/self.t # Shear stiffness (N/mm^3) def calc_laminate_stiffness_matrix(self)-
Provide ABD matrix.
Return plane-strain laminate stiffness matrix (ABD matrix).
Expand source code
def calc_laminate_stiffness_matrix(self): """ Provide ABD matrix. Return plane-strain laminate stiffness matrix (ABD matrix). """ # Number of plies, ply thicknesses n = self.slab.shape[0] t = self.slab[:, 1] # Initialize ply coordinates (bottom to top in laminate CSYS) z = np.zeros(n + 1) for j in range(n + 1): z[j] = -self.h/2 + \ sum(t[0:j]) # Initialize stiffness components A11, B11, D11, kA55 = 0, 0, 0, 0 # Add layerwise contributions (sign of B11 to agree with beam CSYS) for i in range(n): # Add layerwise contributions E, G, nu = self.slab[i, 2:5] A11 = A11 + E/(1 - nu**2)*(z[i+1] - z[i]) B11 = B11 - 1/2*E/(1 - nu**2)*(z[i+1]**2 - z[i]**2) D11 = D11 + 1/3*E/(1 - nu**2)*(z[i+1]**3 - z[i]**3) kA55 = kA55 + self.k*G*(z[i+1] - z[i]) self.A11 = A11 self.B11 = B11 self.D11 = D11 self.kA55 = kA55 self.E0 = B11**2 - A11*D11 def calc_system_matrix(self)-
Assemble first-order ODE system matrix.
Using the solution vector z = [u, u', w, w', psi, psi'] the ODE system is written in the form Az' + Bz = d and rearranged to z' = -(A ^ -1)Bz + (A ^ -1)d = Ez + F
Expand source code
def calc_system_matrix(self): """ Assemble first-order ODE system matrix. Using the solution vector z = [u, u', w, w', psi, psi'] the ODE system is written in the form Az' + Bz = d and rearranged to z' = -(A ^ -1)Bz + (A ^ -1)d = Ez + F """ kn = self.kn kt = self.kt # Abbreviations (MIT t/2 im GGW, MIT w' in Kinematik) E21 = kt*(-2*self.D11 + self.B11*(self.h + self.t))/(2*self.E0) E24 = (2*self.D11*kt*self.t - self.B11*kt*self.t*(self.h + self.t) + 4*self.B11*self.kA55)/(4*self.E0) E25 = (-2*self.D11*self.h*kt + self.B11*self.h*kt*(self.h + self.t) + 4*self.B11*self.kA55)/(4*self.E0) E43 = kn/self.kA55 E61 = kt*(2*self.B11 - self.A11*(self.h + self.t))/(2*self.E0) E64 = (-2*self.B11*kt*self.t + self.A11*kt*self.t*(self.h+self.t) - 4*self.A11*self.kA55)/(4*self.E0) E65 = (2*self.B11*self.h*kt - self.A11*self.h*kt*(self.h+self.t) - 4*self.A11*self.kA55)/(4*self.E0) # System matrix E = [[0, 1, 0, 0, 0, 0], [E21, 0, 0, E24, E25, 0], [0, 0, 0, 1, 0, 0], [0, 0, E43, 0, 0, -1], [0, 0, 0, 0, 0, 1], [E61, 0, 0, E64, E65, 0]] self.sysmat = np.array(E) def get_skier_load(self, m, phi)-
Calculate skier point load.
Arguments
m:float- Skier weight (kg).
phi:float- Inclination (degrees).
Returns
Fn:float- Skier load (N) in normal direction.
Ft:float- Skier load (N) in tangential direction.
Expand source code
def get_skier_load(self, m, phi): """ Calculate skier point load. Arguments --------- m : float Skier weight (kg). phi : float Inclination (degrees). Returns ------- Fn : float Skier load (N) in normal direction. Ft : float Skier load (N) in tangential direction. """ phi = np.deg2rad(phi) # Convert inclination to rad F = 1e-3*np.array(m)*self.g/self.lski # Total skier load (N) Fn = F*np.cos(phi) # Normal skier load (N) Ft = F*np.sin(phi) # Tangential skier load (N) return Fn, Ft def get_weight_load(self, phi)-
Calculate line loads.
Arguments
phi:float- Inclination (degrees).
Returns
qn:float- Line load (N/mm) in normal direction.
qt:float- Line load (N/mm) in tangential direction.
Expand source code
def get_weight_load(self, phi): """ Calculate line loads. Arguments --------- phi : float Inclination (degrees). Returns ------- qn : float Line load (N/mm) in normal direction. qt : float Line load (N/mm) in tangential direction. """ # Convert units phi = np.deg2rad(phi) # Convert inclination to rad rho = self.slab[:, 0]*1e-12 # Convert density to t/mm^3 # Sum up layer weight loads q = sum(rho*self.g*self.slab[:, 1]) # Line load (N/mm) # Split into components qn = q*np.cos(phi) # Normal direction qt = q*np.sin(phi) # Tangential direction return qn, qt def set_beam_properties(self, layers, C0=6.0, C1=4.6, nu=0.25)-
Set material and properties geometry of beam (slab).
Arguments
layers:listorstr- 2D list of layer densities and thicknesses. Columns are density (kg/m^3) and thickness (mm). One row corresponds to one layer. If entered as str, last split must be available in database.
C0:float, optional- Multiplicative constant of Young modulus parametrization according to Gerling et al. (2017). Default is 6.0.
C1:float, optional- Exponent of Young modulus parameterization according to Gerling et al. (2017). Default is 4.6.
nu:float, optional- Possion's ratio. Default is 0.25
Expand source code
def set_beam_properties(self, layers, C0=6.0, C1=4.60, nu=0.25): """ Set material and properties geometry of beam (slab). Arguments --------- layers : list or str 2D list of layer densities and thicknesses. Columns are density (kg/m^3) and thickness (mm). One row corresponds to one layer. If entered as str, last split must be available in database. C0 : float, optional Multiplicative constant of Young modulus parametrization according to Gerling et al. (2017). Default is 6.0. C1 : float, optional Exponent of Young modulus parameterization according to Gerling et al. (2017). Default is 4.6. nu : float, optional Possion's ratio. Default is 0.25 """ # Elastic properties and geometry if isinstance(layers, str): layers, E = load_dummy_profile(layers.split()[-1]) else: layers = np.array(layers) E = gerling(layers[:, 0], C0=C0, C1=C1) # Young's modulus # Other elastic properties and geometry nu = nu*np.ones(layers.shape[0]) # Global poisson's ratio G = E/(2*(1 + nu)) # Shear modulus self.k = 5/6 # Shear correction factor # Assemble layering into matrix (bottom to top) self.slab = np.flipud(np.vstack([layers.T, E, G, nu]).T) # Compute center of gravity self.h, self.zs = calc_center_of_gravity(layers) def set_foundation_properties(self, t=30, E=0.25, nu=0.25)-
Set material properties and geometry of foundation (weak layer).
Arguments
t:float, optional- Weak-layer thickness (mm). Default is 30.
E:float, optional- Weak-layer Young modulus (MPa). Default is 0.25.
nu:float, optional- Weak-layer Poisson ratio. Default is 0.25.
Expand source code
def set_foundation_properties(self, t=30, E=0.25, nu=0.25): """ Set material properties and geometry of foundation (weak layer). Arguments --------- t : float, optional Weak-layer thickness (mm). Default is 30. E : float, optional Weak-layer Young modulus (MPa). Default is 0.25. nu : float, optional Weak-layer Poisson ratio. Default is 0.25. """ # Geometry self.t = t # Weak-layer thickness (mm) # Material properties self.weak = { 'nu': nu, # Poisson's ratio (-) 'E': E # Young's modulus (MPa) } def z(self, x, C, l, phi, bed=True)-
Assemble solution vector at positions x.
Arguments
x:floatorsquence- Horizontal coordinate (mm). Can be sequence of length N.
C:ndarray- Vector of constants (6xN) at positions x.
l:float- Segment length (mm).
phi:float- Inclination (degrees).
bed:bool- Indicates whether segment has foundation (True) or not (False). Default is True.
Returns
z:ndarray- Solution vector (6xN) at position x.
Expand source code
def z(self, x, C, l, phi, bed=True): """ Assemble solution vector at positions x. Arguments --------- x : float or squence Horizontal coordinate (mm). Can be sequence of length N. C : ndarray Vector of constants (6xN) at positions x. l : float Segment length (mm). phi : float Inclination (degrees). bed : bool Indicates whether segment has foundation (True) or not (False). Default is True. Returns ------- z : ndarray Solution vector (6xN) at position x. """ if isinstance(x, (list, tuple, np.ndarray)): z = np.concatenate([ np.dot(self.zh(xi, l, bed), C) + self.zp(xi, phi, bed) for xi in x], axis=1) else: z = np.dot(self.zh(x, l, bed), C) + self.zp(x, phi, bed) return z def zh(self, x, l=0, bed=True)-
Compute bedded or free complementary solution at position x.
Arguments
x:float- Horizontal coordinate (mm).
l:float, optional- Segment length (mm). Default is 0.
bed:bool- Indicates whether segment has foundation or not. Default is True.
Returns
zh:ndarray- Complementary solution matrix (6x6) at position x.
Expand source code
def zh(self, x, l=0, bed=True): """ Compute bedded or free complementary solution at position x. Arguments --------- x : float Horizontal coordinate (mm). l : float, optional Segment length (mm). Default is 0. bed : bool Indicates whether segment has foundation or not. Default is True. Returns ------- zh : ndarray Complementary solution matrix (6x6) at position x. """ if bed: zh = np.concatenate([ # Real self.evR*np.exp(self.ewR*(x + l*self.sR)), # Complex np.exp(self.ewC.real*(x + l*self.sC))*( self.evC.real*np.cos(self.ewC.imag*x) - self.evC.imag*np.sin(self.ewC.imag*x)), # Complex np.exp(self.ewC.real*(x + l*self.sC))*( self.evC.imag*np.cos(self.ewC.imag*x) + self.evC.real*np.sin(self.ewC.imag*x))], axis=1) else: # Abbreviations H14 = 3*self.B11/self.A11*x**2 H24 = 6*self.B11/self.A11*x H54 = -3*x**2 + 6*self.E0/(self.A11*self.kA55) # Complementary solution matrix of free segments zh = np.array( [[0, 0, 0, H14, 1, x], [0, 0, 0, H24, 0, 1], [1, x, x**2, x**3, 0, 0], [0, 1, 2*x, 3*x**2, 0, 0], [0, -1, -2*x, H54, 0, 0], [0, 0, -2, -6*x, 0, 0]]) return zh def zp(self, x, phi, bed=True)-
Compute bedded or free particular integrals at position x.
Arguments
x:float- Horizontal coordinate (mm).
phi:float- Inclination (degrees).
bed:bool- Indicates whether segment has foundation (True) or not (False). Default is True.
Returns
zp:ndarray- Particular integral vector (6x1) at position x.
Expand source code
def zp(self, x, phi, bed=True): """ Compute bedded or free particular integrals at position x. Arguments --------- x : float Horizontal coordinate (mm). phi : float Inclination (degrees). bed : bool Indicates whether segment has foundation (True) or not (False). Default is True. Returns ------- zp : ndarray Particular integral vector (6x1) at position x. """ # Get weight load qn, qt = self.get_weight_load(phi) # Set foundation stiffness variables kn = self.kn kt = self.kt # Assemble particular integral vectors if bed: zp = np.array([ [qt/kt + self.h*qt*(self.h + self.t - 2*self.zs)/(4*self.kA55)], [0], [qn/kn], [0], [-qt*(self.h + self.t - 2*self.zs)/(2*self.kA55)], [0]]) else: zp = np.array([ [(-3*qt/self.A11 - self.B11*qn*x/self.E0)/6*x**2], [(-2*qt/self.A11 - self.B11*qn*x/self.E0)/2*x], [-self.A11*qn*x**4/(24*self.E0)], [-self.A11*qn*x**3/(6*self.E0)], [self.A11*qn*x**3/(6*self.E0) + ( (self.zs - self.B11/self.A11)*qt - qn*x)/self.kA55], [self.A11*qn*x**2/(2*self.E0) - qn/self.kA55]]) return zp