Linear Regression Young's modulus

By Michael N Sakano1; Saaketh Desai1; Alejandro Strachan1

1. Purdue University

Use linear regression to extract Young's modulus and yield stress from stress-strain data

Launch Tool

You must login before you can run this tool.

Version 1.0 - published on 24 Sep 2020

doi:10.21981/3NK6-A772 cite this

Open source: license | download

View All Supporting Documents

    Young's Moduli Yield Stress

Category

Tools

Published on

Abstract

This tool uses python in Jupyter notebooks to analyze stress-strain data of materials and extract two materials properties: Young's modulus and yield stress. The tool has pre-loaded data users can upload and analyze their own data. The tool uses Pandas to manage and organize data and scikit-learn for regression. 

Users can explore, hands-on, how changing the range of strain affects the calculation of Young's moduli and script the calculations to analyze large groups of stress-strain data.

Cite this work

Researchers should cite this work as follows:

  • Michael N Sakano, Saaketh Desai, Alejandro Strachan (2020), "Linear Regression Young's modulus," https://nanohub.org/resources/youngsmod. (DOI: 10.21981/3NK6-A772).

    BibTex | EndNote

Tags

  1. linear regression
  2. material properties
  3. materials science
  4. mechanical properties
  5. NCN Group - Materials Science
  6. Young’s modulus