eamontoyaa/pysigmap

Open source application software in Python3 for calculating the preconsolidation pressure.

Hi there 👋, I'm Exneyder A. Montoya-Araque

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pysigmap's Issues

Issues with running the code with oedometer data that does not have a reloading stage

• pySigmaP version: 0.1.9
• Python version: 3.10.10
• Operating System: Windows 10 Pro

Description

Tried to determine the preconsolidation pressure from oedometer test data. However the test data only had one loading and an unloading stage. The program does not seem to be able to run with such data throwing up and index error (below). It is reasonably frequent that reloading is not specified in the industry, therefore having a function to run without reloading curve would be useful.

FYI - I tested the code with the testData.csv provided and removing the reloading stage from that data resulted in the same error message.

brkIdx1 = idx_unloading_init[self.use_this_UR_stage]
IndexError: list index out of range

Dataframe:
Effective_Vertical_Stress Axial_Strain Void_Ratio
0 123.0 0.0 0.791
1 251.0 0.0 0.749
2 498.0 0.0 0.723
3 1001.0 0.0 0.674
4 2002.0 0.0 0.612
5 3999.0 0.0 0.548
6 8002.0 0.0 0.464
7 15999.0 0.0 0.357
8 29001.0 0.0 0.246
9 7248.0 0.0 0.141
10 1814.0 0.0 0.222

What I Did

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from pysigmap.data import Data
from pysigmap.boone import Boone


input_data = r'XXXXXXXXXXXXXXX'
data_frame = pd.read_csv(input_data)
print(data_frame)

data = Data(data_frame, sigmaV=75)

method = Boone(data)
fig = method.getSigmaP()

Evaluation of Data with Second Reloading after Second Unloading possible?

• pySigmaP version: 0.1.9
• Python version: 3.9.
• Operating System: Windows 10

Description

Is there any way to apply pySigmaP for the evaluation of oedometer tests, in which there is a second reloading after the second unloading ?

What I Did

If I load a dataset with a second reloading, the follow error occurs
ValueError: "x" must be strictly increasing sequence.

Removing the data of the second reloading from the rawdata does resolve that issue, but if possible, I would like to keep the dataset for the evaluation complete.

Thanks in advance!