Hi all.
Since the pelvis temperature seemed overestimated by JOS-3 in my own research (ME = -3.96 ± 0.16 °C) compared to the experimental results. I tried replicating results from JOS-3 paper for conditions by Werner and Reents for 20 °C. Results can be seen in image below. The steady-state pelvis skin temperature seems to be around 34 °C for To = 20 °C. While the results for Werner and Reents are around 31 °C. I noticed there were some changes regarding several variables for pelvis in JOS-3 version [v0.4.0], which is the version I used. Is JOS-3 model systematicaly overestimating pelvis skin temperatures or have I missed something important?
Kind regards,
Martin
Used code:
`
import jos3
import matplotlib.pyplot as plt
model = jos3.JOS3(height=1.7, weight=60, age=30) # Might not be accurate but it should be roughly the same with different settings
model.To = 20 # Operative temperature [oC]
model.Va = 0.2 # Air velocity [m/s]
model.PAR = 1.2 # Physical activity ratio [-]
model.posture = "sitting" # Set the posture
model.simulate(60) # Exposre time = 60 [min]
jos_skin = ['TskChest', 'TskBack', 'TskPelvis']
results = model.dict_results()
for key in jos_skin:
plt.figure()
plt.scatter(range(0,len(results[key])), results[key], label="JOS3")
plt.title(key)
plt.legend(loc="upper right")
plt.pause(.001)
`
Result for pelvis skin temperature:
Hi all.
Since the pelvis temperature seemed overestimated by JOS-3 in my own research (ME = -3.96 ± 0.16 °C) compared to the experimental results. I tried replicating results from JOS-3 paper for conditions by Werner and Reents for 20 °C. Results can be seen in image below. The steady-state pelvis skin temperature seems to be around 34 °C for To = 20 °C. While the results for Werner and Reents are around 31 °C. I noticed there were some changes regarding several variables for pelvis in JOS-3 version [v0.4.0], which is the version I used. Is JOS-3 model systematicaly overestimating pelvis skin temperatures or have I missed something important?
Kind regards,
Martin
Used code:
`
import jos3
import matplotlib.pyplot as plt
model = jos3.JOS3(height=1.7, weight=60, age=30) # Might not be accurate but it should be roughly the same with different settings
model.To = 20 # Operative temperature [oC]
model.Va = 0.2 # Air velocity [m/s]
model.PAR = 1.2 # Physical activity ratio [-]
model.posture = "sitting" # Set the posture
model.simulate(60) # Exposre time = 60 [min]
jos_skin = ['TskChest', 'TskBack', 'TskPelvis']
results = model.dict_results()
for key in jos_skin:
plt.figure()
plt.scatter(range(0,len(results[key])), results[key], label="JOS3")
plt.title(key)
plt.legend(loc="upper right")
plt.pause(.001)
`
Result for pelvis skin temperature:
