Synchronization between local PC and gitea

Super-Pressure.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+# VARIABLES:
+
+v0    = 0.00     # Initial Balloon Velocity in [m/s]
+s0    = 0.00     # Initial Balloon Altitude in [m]
+p0    = 101325   # (Initial) Air Pressure in [Pa]
+rho_a = 1.2250   # (Initial) Air Density in [kg/m^3]
+
+tmax = 50000
+
+T_a   = 288.15   # (Initial) Air Temperature in [K]
+g     = 9.80665  # local gravitation in [m/s^2]
+dt    = 0.01     # time step in [s]
+cD    = 0.47     # drag coefficient balloon (spherical) [-]
+
+R_a = 287.1      # Specific Gas Constant Dry Air in [J/(kg * K)]
+R_He = 2077.1    # Specific Gas Constant Helium in [J/(kg * K)]
+
+
+
+m_B = 50         # Balloon (Start) Mass in [kg]
+m_PL = 10        # Balloon Payload (Start) Mass in [kg]
+
+
+
+
+pi = np.pi
+
+def T(h):
+    if h >= 0 and h <= 11000:
+        res = 288.15 - 0.0065 * h
+        return res
+    elif h > 11000 and h <= 20000:
+        res = 216.65
+        return res
+    elif h >= 20000:
+        res = 216.65 + 0.0010 * (h - 20000)
+        return res
+
+def p(h):
+    if h >= 0 and h <= 11000:
+        res = 101325 * ((288.15 - 0.0065 * h)/288.15) ** 5.25577
+        return res
+    elif h > 11000 and h <= 20000:
+        res = 22632 * np.exp(-(h - 11000)/6341.62)
+        return res
+    elif h > 20000:
+        res = 5474.87 * ((216.65 + 0.0010 * (z - 20000))/216.65) ** (-34.163)
+        return res
+
+def rho(h):
+    res = p(h)/(R_a * T(h))
+    return res
+
+
+
+
+# p_a = p0         # air pressure = constant
+p_He = 101325       # initial gas pressure = air pressure
+T_g = 288.15        # gas temperature = air temperature = constant
+
+
+# GAS DENSITY
+rho_g = p_He / (R_He * T_g)
+
+V_B = m_B / rho_g
+D_B = (6 * V_B / pi) ** (1/3)
+
+
+v = []
+time = []
+alt = []
+
+
+v_z = v0
+z = s0
+t = 0
+D = 0
+
+rho_plot = []
+T_plot = []
+p_plot = []
+D_plot = []
+
+while t < tmax:
+    v.append(v_z)
+    alt.append(z)
+    time.append(t)
+
+    rho_plot.append(rho(z))
+    T_plot.append(T(z))
+    p_plot.append(p(z))
+    D_plot.append(D)
+
+    D = 0.5 * cD * 0.25 * pi * rho(z) * v_z ** 2 * D_B ** 2
+    I = g * V_B * (rho(z) - rho_g)
+    G = g * m_PL
+
+
+    dv_z = (I - np.sign(v_z) * D - G) / m_B * dt
+
+    v_z += dv_z * dt
+    z += v_z * dt
+
+    t += dt
+
+
+
+#plt.plot(time, rho_plot)
+#plt.plot(time, T_plot)
+###plt.plot(time, v)
+###plt.show()
+#plt.plot(time, ind)
+#plt.plot(time, D_plot)
+
+plt.plot(time, alt)
+plt.show()
+
+
+
+