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已同步 2025-08-07 15:10:13 +08:00
Added class and methods for upcoming transmission line.
这个提交包含在:
@@ -18,11 +18,13 @@
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import numpy as np
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import numpy as np
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from gprMax.constants import c, floattype
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from gprMax.grid import Ix, Iy, Iz
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from gprMax.utilities import rvalue
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from gprMax.utilities import rvalue
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class VoltageSource:
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class VoltageSource:
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"""Voltage sources."""
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"""The voltage source can be a hard source if it's resistance is zero, i.e. the time variation of the specified electric field component is prescribed. If it's resistance is non-zero it behaves as a resistive voltage source."""
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def __init__(self):
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def __init__(self):
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self.polarisation = None
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self.polarisation = None
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@@ -34,12 +36,11 @@ class VoltageSource:
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self.resistance = None
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self.resistance = None
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self.waveformID = None
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self.waveformID = None
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def update_fields(self, abstime, timestep, updatecoeffsE, ID, Ex, Ey, Ez, G):
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def update_E(self, abstime, updatecoeffsE, ID, Ex, Ey, Ez, G):
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"""Updates electric field values for a voltage source.
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"""Updates electric field values for a voltage source.
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Args:
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Args:
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abstime (float): Absolute time.
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abstime (float): Absolute time.
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timestep (int): Iteration number.
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updatecoeffsE (memory view): numpy array of electric field update coefficients.
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updatecoeffsE (memory view): numpy array of electric field update coefficients.
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ID (memory view): numpy array of numeric IDs corresponding to materials in the model.
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ID (memory view): numpy array of numeric IDs corresponding to materials in the model.
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Ex, Ey, Ez (memory view): numpy array of electric field values.
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Ex, Ey, Ez (memory view): numpy array of electric field values.
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@@ -74,7 +75,7 @@ class VoltageSource:
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class HertzianDipole:
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class HertzianDipole:
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"""Hertzian dipoles, i.e. normal additive source (current density)."""
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"""The Hertzian dipole is an additive source (electric current density)."""
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def __init__(self):
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def __init__(self):
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self.polarisation = None
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self.polarisation = None
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@@ -85,12 +86,11 @@ class HertzianDipole:
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self.stop = None
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self.stop = None
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self.waveformID = None
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self.waveformID = None
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def update_fields(self, abstime, timestep, updatecoeffsE, ID, Ex, Ey, Ez, G):
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def update_E(self, abstime, updatecoeffsE, ID, Ex, Ey, Ez, G):
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"""Updates electric field values for a Hertzian dipole.
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"""Updates electric field values for a Hertzian dipole.
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Args:
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Args:
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abstime (float): Absolute time.
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abstime (float): Absolute time.
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timestep (int): Iteration number.
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updatecoeffsE (memory view): numpy array of electric field update coefficients.
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updatecoeffsE (memory view): numpy array of electric field update coefficients.
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ID (memory view): numpy array of numeric IDs corresponding to materials in the model.
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ID (memory view): numpy array of numeric IDs corresponding to materials in the model.
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Ex, Ey, Ez (memory view): numpy array of electric field values.
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Ex, Ey, Ez (memory view): numpy array of electric field values.
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@@ -116,7 +116,7 @@ class HertzianDipole:
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class MagneticDipole:
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class MagneticDipole:
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"""Magnetic dipoles, i.e. current on a small loop."""
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"""The magnetic dipole is an additive source (magnetic current density)."""
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def __init__(self):
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def __init__(self):
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self.polarisation = None
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self.polarisation = None
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@@ -127,12 +127,11 @@ class MagneticDipole:
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self.stop = None
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self.stop = None
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self.waveformID = None
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self.waveformID = None
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def update_fields(self, abstime, timestep, updatecoeffsH, ID, Hx, Hy, Hz, G):
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def update_H(self, abstime, updatecoeffsH, ID, Hx, Hy, Hz, G):
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"""Updates electric field values for a magnetic dipole.
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"""Updates magnetic field values for a magnetic dipole.
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Args:
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Args:
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abstime (float): Absolute time.
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abstime (float): Absolute time.
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timestep (int): Iteration number.
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updatecoeffsH (memory view): numpy array of magnetic field update coefficients.
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updatecoeffsH (memory view): numpy array of magnetic field update coefficients.
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ID (memory view): numpy array of numeric IDs corresponding to materials in the model.
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ID (memory view): numpy array of numeric IDs corresponding to materials in the model.
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Hx, Hy, Hz (memory view): numpy array of magnetic field values.
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Hx, Hy, Hz (memory view): numpy array of magnetic field values.
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@@ -156,3 +155,143 @@ class MagneticDipole:
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elif self.polarisation is 'z':
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elif self.polarisation is 'z':
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Hz[i, j, k] -= waveform.amp * waveform.calculate_value(time, G.dt) * (G.dt / (G.dx * G.dy * G.dz))
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Hz[i, j, k] -= waveform.amp * waveform.calculate_value(time, G.dt) * (G.dt / (G.dx * G.dy * G.dz))
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class TransmissionLine:
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"""The transmission line source is a one-dimensional transmission line which is attached virtually to a grid cell."""
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def __init__(self, G):
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"""
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Args:
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G (class): Grid class instance - holds essential parameters describing the model.
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"""
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self.polarisation = None
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self.positionx = None
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self.positiony = None
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self.positionz = None
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self.start = None
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self.stop = None
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self.length = None
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self.resistance = None
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self.waveformID = None
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# Coefficients for ABC termination of end of the transmission line
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self.abcv0 = 0
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self.abcv1 = 0
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# Spatial step of transmission line
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self.dl = np.sqrt(3) * c * G.dt
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# Nodal position of one-way injector excitation in the transmission line
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self.source = 10
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# Number of nodes in the transmission line; add nodes to the length to account for position of one-way injector
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self.nl = rvalue(self.length/self.dl) + self.source
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self.voltage = np.zeros(self.nl, dtype=floattype)
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self.current = np.zeros(self.nl, dtype=floattype)
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def update_abc(self, G):
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"""Updates absorbing boundary condition at end of the transmission line.
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Args:
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G (class): Grid class instance - holds essential parameters describing the model.
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"""
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tmp = (c * G.dt - self.dl) / (c * G.dt + self.dl)
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self.voltage[0] = (self.voltage[1] - self.abcv0) + self.abcv1
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self.abcv0 = self.voltage[0]
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self.abcv1 = self.voltage[1]
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def update_voltage(self, time, G):
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"""Updates voltage values along the transmission line.
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Args:
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time (float): Absolute time.
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G (class): Grid class instance - holds essential parameters describing the model.
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"""
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waveform = next(x for x in G.waveforms if x.ID == self.waveformID)
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# Update all the voltage values along the line
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for i in range(1, self.nl):
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self.voltage[i] -= self.resistance * (c * G.dt / self.dl) * (self.current[i] - self.current[i - 1])
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# Update the voltage at the position of the one-way injector excitation
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self.voltage[self.source] += (c * G.dt / self.dl) * waveform.amp * waveform.calculate_value(time - 0.5 * G.dt, G.dt)
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# Update ABC before updating current
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self.update_abc(G)
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def update_current(self, time, G):
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"""Updates current values along the transmission line.
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Args:
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time (float): Absolute time.
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G (class): Grid class instance - holds essential parameters describing the model.
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"""
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waveform = next(x for x in G.waveforms if x.ID == self.waveformID)
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# Update all the current values along the line
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for i in range(0, self.nl - 1):
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self.current[i] -= (1 / self.resistance) * (c * G.dt / self.dl) * (self.voltage[i + 1] - self.voltage[i])
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# Update the current one node before the position of the one-way injector excitation
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self.current[self.source - 1] += (c * G.dt / self.dl) * waveform.amp * waveform.calculate_value(time - 0.5 * G.dt, G.dt) * (1 / self.resistance)
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def update_E(self, abstime, Ex, Ey, Ez, G):
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"""Updates electric field value in the main grid from voltage value in the transmission line.
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Args:
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abstime (float): Absolute time.
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Ex, Ey, Ez (memory view): numpy array of electric field values.
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G (class): Grid class instance - holds essential parameters describing the model.
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"""
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if abstime >= self.start and abstime <= self.stop:
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# Set the time of the waveform evaluation to account for any delay in the start
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time = abstime - self.start
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i = self.positionx
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j = self.positiony
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k = self.positionz
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self.update_voltage(time, G)
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if self.polarisation is 'x':
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Ex[i, j, k] = - self.voltage[self.nl - 1] / G.dx
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elif self.polarisation is 'y':
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Ey[i, j, k] = - self.voltage[self.nl - 1] / G.dy
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elif self.polarisation is 'z':
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Ez[i, j, k] = - self.voltage[self.nl - 1] / G.dz
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def update_H(self, abstime, Hx, Hy, Hz, G):
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"""Updates current value in transmission line from magnetic field values in the main grid.
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Args:
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abstime (float): Absolute time.
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Hx, Hy, Hz (memory view): numpy array of magnetic field values.
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G (class): Grid class instance - holds essential parameters describing the model.
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"""
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if abstime >= self.start and abstime <= self.stop:
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# Set the time of the waveform evaluation to account for any delay in the start
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time = abstime - self.start
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i = self.positionx
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j = self.positiony
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k = self.positionz
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if self.polarisation is 'x':
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self.current[self.nl - 1] = Ix(i, j, k, G.Hy, G.Hz, G)
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elif self.polarisation is 'y':
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self.current[self.nl - 1] = Iy(i, j, k, G.Hx, G.Hz, G)
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elif self.polarisation is 'z':
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self.current[self.nl - 1] = Iz(i, j, k, G.Hx, G.Hy, G)
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self.update_current(time, G)
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