Metadata-Version: 2.1
Name: ThermCoeff
Version: 0.1
Summary: Module for thermoelastic coefficient identification
Home-page: https://github.com/LolloCappo/ThermCoeff
Author: Lorenzo Capponi
Author-email: lorenzocapponi@outlook.it
License: UNKNOWN
Description: 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>
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
