ThermCoeff 0.2

Module for thermoelastic coefficient identification

ThermCoeff - Thermoelastic coefficent evaluation

Thermoelastic coefficent evaluation for Thermoelastic Stress Analysis (TSA)

Simple examples

Here is a simple example on how to use the code:

.. code-block:: python

pip install ThermCoeff

Import packages:

.. code-block:: python

import numpy as np
import pysfmov as sfmov
import ThermCoeff

Thermoelastic coefficient of standard materials is available as:

.. code-block:: python

s = 'steel'                         # Steel material is chosen
km = ThermCoeff.from_material(s)    # Thermoelastic coefficient of steel is obtained

The following materials are available: aluminium, epoxy, glass, magnesium, steel, titanium

If strain gauge calibration is performed and the strain is acquired externally during the experiment:

.. code-block:: python

# Uniaxial strain-gauge					
eps = np.random.rand(1000)		# Simulated strain from strain-gauge
strain = ThermCoeff.get_strain(eps)	# Obtain strain

# Strain-gauge rosette
eps = np.random.rand(1000, 3)				# Simulated strain from rosette
configuration = '90' 					# Angular configuration of the rosette
strain = ThermCoeff.get_strain(eps, configuration)	# Obtain strain

Once the strain is obtained (or already known):

.. code-block:: python

filename = './data/rec.sfmov'   # Path to the thermal video
data = sfmov.get_data(filename) # Load the data
fs = 400			# Sampling frequency [Hz]
fl = 40				# Load frequency [Hz]
location = 56, 38, 30, 70	# Location of the strain-gauge on the camera field of view

E = 75 * 10**9 			# Young Modulus [Pa]
ni = 0.33 			# Poisson's ratio

km = ThermCoeff.from_strain_gauge(data, fs, fl, E, ni, strain, location)

Reference: https://www.sciencedirect.com/science/article/pii/S0142112320301924