对齐AMESim管阻孔口与储气耦合

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huojiarong committed 2026-08-10 13:07:03 +00:00
1 parent 7671418582
commit 6abcc220de
14 files changed
+817 -65

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+136 -37
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@@ -51,13 +51,12 @@ _PNVO001_FLOW_COEFFICIENT_GROUP = ParameterGroupDisplaySpec(
class AmesimPnor001(AlgebraicComponent):
"""AMESim PNOR001 constant-flow-coefficient pneumatic orifice.
This public component preserves the PNOR001 catalog/XML contract and uses a
finite bidirectional compressible-orifice approximation. The Siemens
`pn2rcqfix_` details remain a later calibration target.
This public component preserves the PNOR001 catalog/XML contract and uses
real-gas pressure-ratio flow with AMESim-style near-equal-pressure smoothing.
"""
MODEL_TYPE = "amesim_pnor001"
MODEL_VERSION = "0.2.0"
MODEL_VERSION = "0.3.0"
PORTS = (
PortDefinition.pneumatic("port_1", nominal_role="bidirectional"),
PortDefinition.pneumatic("port_2", nominal_role="bidirectional"),
@@ -188,6 +187,7 @@ class AmesimPnor001(AlgebraicComponent):
self.port_1.h_outflow = initial_h
self.port_2 = self.register_declared_port("port_2")
self.port_2.h_outflow = initial_h
self._connected_h: dict[str, float] = {}
@staticmethod
def _integer_parameter(name: str, value: float) -> int:
@@ -243,16 +243,113 @@ class AmesimPnor001(AlgebraicComponent):
def _upstream_temperature(self, port_name: str) -> float:
port = self.get_port(port_name)
inlet_h = self._connected_h.get(port_name, port.h_outflow)
return max(
self.medium.temperature_from_pressure_enthalpy(
max(port.p, 1.0),
port.h_outflow,
inlet_h,
),
1.0,
)
@staticmethod
def _subsonic_mass_flow_parameter(
*,
pressure_ratio: float,
gamma_s: float,
density: float,
upstream_temperature: float,
upstream_pressure: float,
) -> float:
expansion = (
pressure_ratio ** (2.0 * gamma_s)
- pressure_ratio ** (1.0 + gamma_s)
)
return sqrt(
max(
2.0
/ (1.0 - gamma_s)
* density
* upstream_temperature
/ upstream_pressure
* expansion,
0.0,
)
)
def _one_way_flow_characteristics(
self,
*,
upstream_pressure: float,
downstream_pressure: float,
upstream_temperature: float,
) -> tuple[float, float]:
p_up = max(upstream_pressure, 1.0)
p_down = max(min(downstream_pressure, p_up), 0.0)
T_up = max(upstream_temperature, 1.0)
gamma_s = self.medium.isentropic_density_pressure_factor(
p_up,
T_up,
p_down,
)
gamma_s = min(max(gamma_s, 1.0e-9), 1.0 - 1.0e-9)
density = max(self.medium.density(p_up, T_up), 1.0e-12)
pressure_ratio = max(p_down / p_up, 0.0)
critical_ratio = (2.0 * gamma_s / (gamma_s + 1.0)) ** (
1.0 / (1.0 - gamma_s)
)
if pressure_ratio <= critical_ratio:
effective_pressure_ratio = critical_ratio
mass_flow_parameter = (
sqrt(2.0 / (1.0 + gamma_s) * density * T_up / p_up)
* (2.0 * gamma_s / (gamma_s + 1.0))
** (gamma_s / (1.0 - gamma_s))
)
gas_velocity = sqrt(2.0 / (1.0 + gamma_s) * p_up / density)
else:
effective_pressure_ratio = pressure_ratio
mass_flow_parameter = self._subsonic_mass_flow_parameter(
pressure_ratio=pressure_ratio,
gamma_s=gamma_s,
density=density,
upstream_temperature=T_up,
upstream_pressure=p_up,
)
gas_velocity = sqrt(
max(
2.0
/ (1.0 - gamma_s)
* p_up
/ density
* (1.0 - pressure_ratio ** (1.0 - gamma_s)),
0.0,
)
)
reference = self._subsonic_mass_flow_parameter(
pressure_ratio=_PN_PRESSURE_RATIO_ACCURACY,
gamma_s=gamma_s,
density=density,
upstream_temperature=T_up,
upstream_pressure=p_up,
)
if mass_flow_parameter > 0.0 and reference > 0.0:
argument = (
_PN_LAMINAR_SMOOTHING_GAIN
* abs(mass_flow_parameter / reference)
* log(effective_pressure_ratio)
/ log(_PN_PRESSURE_RATIO_ACCURACY)
)
smoothing_factor = tanh(max(argument, 0.0))
mass_flow_parameter *= smoothing_factor
gas_velocity *= smoothing_factor
return mass_flow_parameter, gas_velocity
def mass_flow(self, p_1: float, p_2: float) -> float:
if p_1 == p_2 or self.effective_area == 0.0:
if (
isclose(p_1, p_2, rel_tol=0.0, abs_tol=1.0e-8)
or self.effective_area == 0.0
):
return 0.0
if p_1 > p_2:
return self._one_way_mass_flow(
@@ -274,43 +371,41 @@ class AmesimPnor001(AlgebraicComponent):
upstream_temperature: float,
) -> float:
p_up = max(upstream_pressure, 1.0)
p_down = max(min(downstream_pressure, p_up), 0.0)
T_up = max(upstream_temperature, 1.0)
gamma = max(self.medium.gamma, 1.000001)
pressure_ratio = max(p_down / p_up, 0.0)
critical_ratio = (2.0 / (gamma + 1.0)) ** (gamma / (gamma - 1.0))
if pressure_ratio <= critical_ratio:
flow_factor = sqrt(gamma / (self.medium.R_gas * T_up)) * (
2.0 / (gamma + 1.0)
) ** ((gamma + 1.0) / (2.0 * (gamma - 1.0)))
else:
expansion = pressure_ratio ** (2.0 / gamma) - pressure_ratio ** (
(gamma + 1.0) / gamma
)
flow_factor = sqrt(
max(
2.0
* gamma
* expansion
/ (self.medium.R_gas * T_up * (gamma - 1.0)),
0.0,
)
)
return self.effective_cq * self.effective_area * p_up * flow_factor
mass_flow_parameter, _ = self._one_way_flow_characteristics(
upstream_pressure=p_up,
downstream_pressure=downstream_pressure,
upstream_temperature=T_up,
)
return (
self.effective_cq
* self.effective_area
* p_up
* mass_flow_parameter
/ sqrt(T_up)
)
def component_result_values(self) -> Mapping[str, float]:
p_1 = max(self.port_1.p, 1.0)
p_2 = max(self.port_2.p, 1.0)
m_flow = abs(self.mass_flow(self.port_1.p, self.port_2.p))
upstream_pressure = max(p_1, p_2)
upstream_temperature = self._upstream_temperature(
"port_1" if p_1 >= p_2 else "port_2"
if p_1 >= p_2:
upstream_port_name = "port_1"
upstream_pressure = p_1
downstream_pressure = p_2
flow_direction = 1.0
else:
upstream_port_name = "port_2"
upstream_pressure = p_2
downstream_pressure = p_1
flow_direction = -1.0
mass_flow_parameter, gas_velocity = self._one_way_flow_characteristics(
upstream_pressure=upstream_pressure,
downstream_pressure=downstream_pressure,
upstream_temperature=self._upstream_temperature(upstream_port_name),
)
density = max(self.medium.density(upstream_pressure, upstream_temperature), 1.0e-12)
area = max(self.effective_area, 1.0e-18)
return {
"cm": m_flow / (self.effective_cq * area * upstream_pressure),
"gasvel": m_flow / (density * area),
"cm": mass_flow_parameter,
"gasvel": flow_direction * gas_velocity,
}
def pressure_flow_equation_residuals(self) -> tuple[EquationResidual, ...]:
@@ -344,6 +439,7 @@ class AmesimPnor001(AlgebraicComponent):
)
def update_stream_outflows(self, connected_h: Mapping[str, float]) -> None:
self._connected_h = dict(connected_h)
self.port_1.h_outflow = connected_h["port_2"]
self.port_2.h_outflow = connected_h["port_1"]
@@ -593,7 +689,10 @@ class AmesimPnvo001FixedOpening(AlgebraicComponent):
)
def mass_flow(self, p_2: float, p_3: float) -> float:
if p_2 == p_3 or self.effective_area == 0.0:
if (
isclose(p_2, p_3, rel_tol=1.0e-7, abs_tol=1.0e-9)
or self.effective_area == 0.0
):
return 0.0
if p_2 > p_3:
return self._one_way_mass_flow(
+123 -13
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@@ -1,7 +1,7 @@
from __future__ import annotations
from collections.abc import Mapping
from math import isclose, log10, pi, sqrt
from math import isclose, log, log10, pi, sqrt, tanh
from app.simulation.components.amesim.gases import (
AMESIM_GAS_INDEX_PARAMETER,
@@ -246,7 +246,7 @@ class AmesimPnl00r(AlgebraicComponent):
while self.darcy_pressure_drop(upper, density=density, temperature=temperature) < pressure_drop:
upper *= 10.0
if upper > 1.0e3:
raise ValueError("unable to bracket PNL00R resistance flow")
return 1.0e3
lower = 0.0
for _ in range(48):
middle = 0.5 * (lower + upper)
@@ -257,7 +257,7 @@ class AmesimPnl00r(AlgebraicComponent):
return 0.5 * (lower + upper)
def mass_flow(self, p_1: float, p_2: float) -> float:
if p_1 == p_2:
if isclose(p_1, p_2, rel_tol=1.0e-7, abs_tol=1.0e-9):
return 0.0
pressure_difference = p_1 - p_2
upstream_pressure = max(p_1, p_2, 1.0)
@@ -645,7 +645,7 @@ class AmesimPnl0001(ThermodynamicVolumeComponent):
) < pressure_drop:
upper *= 10.0
if upper > 1.0e3:
raise ValueError("unable to bracket PNL0001 resistance flow")
return 1.0e3
lower = 0.0
for _ in range(48):
middle = 0.5 * (lower + upper)
@@ -659,16 +659,126 @@ class AmesimPnl0001(ThermodynamicVolumeComponent):
upper = middle
return 0.5 * (lower + upper)
def _one_way_pn2pipefr_mass_flow(
self,
*,
upstream_pressure: float,
downstream_pressure: float,
upstream_temperature: float,
resistance_length: float,
) -> float:
"""AMESim pn2pipefr-style compressible friction flow."""
p_up = max(float(upstream_pressure), 1.0)
p_down = max(min(float(downstream_pressure), p_up), 0.0)
T_up = max(float(upstream_temperature), 1.0)
if resistance_length <= 0.0:
raise ValueError("Pipe resistance length must be positive.")
gamma_s = self.medium.isentropic_density_pressure_factor(
p_up,
T_up,
p_down,
)
gamma_s = min(max(gamma_s, 1.0e-9), 1.0 - 1.0e-9)
density = max(self.medium.density(p_up, T_up), 1.0e-12)
pressure_ratio = max(p_down / p_up, 0.0)
critical_ratio = (2.0 * gamma_s / (gamma_s + 1.0)) ** (
1.0 / (1.0 - gamma_s)
)
def mass_flow_parameter(ratio: float) -> float:
if ratio <= critical_ratio:
value = (
sqrt(2.0 / (1.0 + gamma_s) * density * T_up / p_up)
* (2.0 * gamma_s / (gamma_s + 1.0))
** (gamma_s / (1.0 - gamma_s))
)
effective_ratio = critical_ratio
else:
expansion = ratio ** (2.0 * gamma_s) - ratio ** (1.0 + gamma_s)
value = sqrt(
max(
2.0
/ (1.0 - gamma_s)
* density
* T_up
/ p_up
* expansion,
0.0,
)
)
effective_ratio = ratio
accuracy = 0.9999
reference_expansion = (
accuracy ** (2.0 * gamma_s)
- accuracy ** (1.0 + gamma_s)
)
reference = sqrt(
max(
2.0
/ (1.0 - gamma_s)
* density
* T_up
/ p_up
* reference_expansion,
0.0,
)
)
if value > 0.0 and reference > 0.0:
smoothing_argument = (
12.0
* abs(value / reference)
* log(effective_ratio)
/ log(accuracy)
)
value *= tanh(max(smoothing_argument, 0.0))
return value
def target_flow(mass_flow: float) -> float:
reynolds = self.reynolds_number(mass_flow, T_up)
friction = self.friction_factor(reynolds)
flow_coefficient = sqrt(
self.diam / (resistance_length * friction)
)
return (
flow_coefficient
* self.area
* p_up
* mass_flow_parameter(pressure_ratio)
/ sqrt(T_up)
)
flow_coefficient = sqrt(self.diam / (resistance_length * 0.02))
magnitude = (
flow_coefficient
* self.area
* p_up
* mass_flow_parameter(pressure_ratio)
/ sqrt(T_up)
)
for _iteration in range(16):
next_magnitude = target_flow(magnitude)
if abs(next_magnitude - magnitude) <= max(
1.0e-12,
abs(magnitude) * 1.0e-9,
):
return next_magnitude
magnitude = 0.5 * (magnitude + next_magnitude)
return magnitude
def mass_flow(self, p_1: float, p_2: float, temperature: float) -> float:
if p_1 == p_2:
if isclose(p_1, p_2, rel_tol=0.0, abs_tol=1.0e-8):
return 0.0
pressure_difference = p_1 - p_2
upstream_pressure = max(p_1, p_2, 1.0)
density = max(self.medium.density(upstream_pressure, temperature), 1.0e-12)
magnitude = self._mass_flow_for_pressure_drop(
abs(pressure_difference),
density=density,
temperature=temperature,
upstream_temperature = max(float(temperature), 1.0)
resistance_length = getattr(self, "resistance_length", self.le)
magnitude = self._one_way_pn2pipefr_mass_flow(
upstream_pressure=max(p_1, p_2),
downstream_pressure=min(p_1, p_2),
upstream_temperature=upstream_temperature,
resistance_length=resistance_length,
)
return magnitude if pressure_difference > 0.0 else -magnitude
@@ -1115,7 +1225,7 @@ class AmesimPnl0003(DynamicComponent):
while self.darcy_pressure_drop(upper, density=density, temperature=temperature) < pressure_drop:
upper *= 10.0
if upper > 1.0e3:
raise ValueError("unable to bracket PNL0003 resistance flow")
return 1.0e3
lower = 0.0
for _ in range(48):
middle = 0.5 * (lower + upper)
@@ -1129,7 +1239,7 @@ class AmesimPnl0003(DynamicComponent):
port_1 = self._properties(self.state_1)
port_2 = self._properties(self.state_2)
pressure_difference = port_1.p - port_2.p
if pressure_difference == 0.0:
if isclose(port_1.p, port_2.p, rel_tol=1.0e-7, abs_tol=1.0e-9):
return 0.0
upstream = port_1 if pressure_difference > 0.0 else port_2
magnitude = self._mass_flow_for_pressure_drop(
@@ -4,6 +4,7 @@ from collections.abc import Callable
from dataclasses import dataclass
from typing import ClassVar
from app.simulation.core.errors import RecoverableTrialStateError
from app.simulation.core.medium import (
GasMedium,
IdealGasMedium,
@@ -214,7 +215,9 @@ class AmesimHeliumPengRobinsonMedium(IdealGasMedium):
def temperature_from_mass_internal_energy(self, m: float, U: float) -> float:
if m <= 0.0:
raise ValueError("Mass must stay positive when recovering temperature.")
raise RecoverableTrialStateError(
"Mass must stay positive when recovering temperature."
)
return self.temperature_from_internal_energy(U / m)
def properties_from_mU(
@@ -224,7 +227,9 @@ class AmesimHeliumPengRobinsonMedium(IdealGasMedium):
V: float,
) -> ThermodynamicProperties:
if m <= 0.0:
raise ValueError("Mass must stay positive when recovering temperature.")
raise RecoverableTrialStateError(
"Mass must stay positive when recovering temperature."
)
if V <= 0.0:
raise ValueError("Volume must stay positive.")
density = m / V