pymechlab
Python Package for Mechanical Laboratory Testing
This package is used for calculating the A-basis and B-Basis mechanical properties from mechanical laboratory test results and data.
An example from CMH-17 is shown below.
Input file 'cmh17_pg_8-87.json':
{
"Material": "Graphite/Epoxy",
"Property": "Compression Strength",
"Test Environment": "ETW",
"Program": "Qualification Data",
"batches": {
"1": {
"datasets": {
"1": {
"coupons": {
"1": 106.358,
"2": 105.899,
"3": 88.464,
"4": 103.902,
"5": 80.206,
"6": 109.2,
"7": 61.014
}
}
}
},
"2": {
"datasets": {
"2": {
"coupons": {
"1": 99.321,
"2": 115.862,
"3": 82.613,
"4": 85.369,
"5": 115.802,
"6": 44.322,
"7": 117.328,
"8": 88.678
}
}
}
},
"3": {
"datasets": {
"3": {
"coupons": {
"1": 107.677,
"2": 108.960,
"3": 116.123,
"4": 80.233,
"5": 106.146,
"6": 104.668,
"7": 104.235
}
}
}
}
}
}
Python script 'cmh17_script.py':
#%%
# Import Dependencies
from IPython.display import display_markdown
from pymechlab.classes.cmh17statistics import pool_from_json
#%%
# Import JSON File
jsonfilepath = '../files/cmh17_pg_8-87.json'
pool = pool_from_json(jsonfilepath)
display_markdown(pool)
#%%
# Import JSON File
jsonfilepath = '../files/cmh17_pg_8-92.json'
pool = pool_from_json(jsonfilepath)
display_markdown(pool)
The output results in markdown are as follows:
| Pool Information | Value |
|---|---|
| Material | Graphite/Epoxy |
| Property | Compression Strength |
| Test Environment | ETW |
| Program | Qualification Data |
| Number of Specimens | 22 |
| Number of Batches | 3 |
| Number of Data Sets | 3 |
| Minimum Value | 44.322 |
| Maximum Value | 117.328 |
| Batch ID | Data Set ID | Coupon ID | Data Values | Before Pooling | After Pooling |
|---|---|---|---|---|---|
| 1 | 1 | 1 | 106.358 | ||
| 1 | 1 | 2 | 105.899 | ||
| 1 | 1 | 3 | 88.464 | ||
| 1 | 1 | 4 | 103.902 | ||
| 1 | 1 | 5 | 80.206 | ||
| 1 | 1 | 6 | 109.2 | ||
| 1 | 1 | 7 | 61.014 | ||
| 2 | 2 | 1 | 99.321 | ||
| 2 | 2 | 2 | 115.862 | ||
| 2 | 2 | 3 | 82.613 | ||
| 2 | 2 | 4 | 85.369 | ||
| 2 | 2 | 5 | 115.802 | ||
| 2 | 2 | 6 | 44.322 | X | |
| 2 | 2 | 7 | 117.328 | ||
| 2 | 2 | 8 | 88.678 | ||
| 3 | 3 | 1 | 107.677 | ||
| 3 | 3 | 2 | 108.96 | ||
| 3 | 3 | 3 | 116.123 | ||
| 3 | 3 | 4 | 80.233 | X | |
| 3 | 3 | 5 | 106.146 | ||
| 3 | 3 | 6 | 104.668 | ||
| 3 | 3 | 7 | 104.235 |
| Anderson k-Sample Test | Value |
|---|---|
| ADK Statistic | 0.328731 |
| AD Critical (α = 0.250) | 0.449259 |
| AD Critical (α = 0.100) | 1.30528 |
| AD Critical (α = 0.050) | 1.94342 |
| AD Critical (α = 0.025) | 2.57697 |
| AD Critical (α = 0.010) | 3.41635 |
| AD Critical (α = 0.005) | 4.0721 |
| AD Critical (α = 0.001) | 5.56419 |
| ADK p-value | 0.2888 |
| Normal Distribution Statistics | Value |
|---|---|
| Observed Significance Level (OSL) | 0.00605107 |
| Mean | 96.9264 |
| Standard Deviation | 18.8048 |
| Coefficient of Variation (%) | 19.4012% |
| B-Basis Value | 61.4527 |
| A-Basis Value | 36.1265 |
| Log Normal Distribution Statistics | Value |
|---|---|
| Observed Significance Level (OSL) | 0.000307372 |
| Log Mean | 4.55097 |
| Log Standard Deviation | 0.234756 |
| B-Basis Value | 60.8328 |
| A-Basis Value | 44.3433 |
| Two Param Weibull Distribution Statistics | Value |
|---|---|
| Observed Significance Level (OSL) | 0.0218837 |
| Scale Parameter | 103.847 |
| Shape Parameter | 7.28576 |
| B-Basis Value | 66.864 |
| A-Basis Value | 43.1806 |
| Non-Parametric Statistics | Value |
|---|---|
| B-Basis Method | Hans-Koop |
| A-Basis Method | Hans-Koop |
| B-Basis Rank | 10 |
| A-Basis Rank | N/A |
| B-Basis Hans-Koop k Factor | 1.18418 |
| A-Basis Hans-Koop k Factor | 2.2602 |
| B-Basis Value | 37.8853 |
| A-Basis Value | 12.9966 |
| Parameter | Value |
|---|---|
| Fcalc | 1.50529 |
| pcalc | 0.247263 |
| Fcrit | 4.67443 |
| ANOVA Statistics | Value |
|---|---|
| Sample Between-batch Mean Sq. (MSB) | 257.302 |
| Error Mean Square (MSE) | 363.761 |
| Estimate of Pop. Std. Deviation(s) | 18.6873 |
| B-Basis Tolerance Limit Factor (TB) | 1.88641 |
| A-Basis Tolerance Limit Factor (TA) | 3.2332 |
| B-Basis Value | 61.6745 |
| A-Basis Value | 36.5067 |
Metadata
Release files for pymechlab 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pymechlab-0.1.1.tar.gz | 17.3 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pymechlab-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.2 kB
Release files / pymechlab-0.1.1.tar.gz
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