A simple python script using Numpy and Matplotlib library to plot a Mohr's Circle when given a two-dimensional state of stress.

Overview

Mohr's Circle Calculator

This is a really small personal project done for Department of Civil Engineering, Delhi Technological University (formerly, Delhi College of Engineering) for a course in Mechanics of Solid (Course Code - CE202).

It is a simple program using Python, NumPy and Matplotlibwhich helps a user to plot Mohr's Cirle when given the two-dimensional state of stress.


Documentation

Introduction

In Mechanics, the mechanics of deformable bodies is termed as Strength of Materials, Mechanics of Materials, or in its more advanced form, as Solid Mechanics. Mechanics of Materials deals with stresses, in their simple one-dimensional states, or at a slightly advanced level, a two-dimensional state of stress; a general three-dimensional state of stress is also possible, and involves advanced mathematical methods for its analysis.

A two-dimensional state of stress is characterized by a two-dimensional geometry with two axes, x and y. Stress components are typically represented by their rectangular components, σx, σy and τxy, which are shown in figure below. Here, the stresses σx and σy are the normal stress components and τxy is the shear stress component. The figure below shows an elemental area, with the rectangular components of stress being labeled.

Rectangular Stress Components

If the axes x and y get transformed, then, these stress components also get transformed accordingly, and the equations for their transformation are given below, where θ is the angle by which the elemental area is rotated.

Stress Transformation

There exists a certain angle of the transformed axes for which the stress components are maximum, and the corresponding stress components are termed as the Principal Stresses, σ1 and σ2. These Principal Stresses can be computed by the following formulae. The formula for the angle θp at which these Principal Stresses occur is also given below. Principal Stresses play an important part in the Theories of Failure characterizing engineering materials. The shear stress also takes on a maximum value τmax at its corresponding angle.

Principal Stress Formulae

The Principal Stresses have a nice graphical representation, first devised by Otto Mohr, and this is called as Mohr's Circle. Mohr's Circle is drawn with the normal stress components being represented on the x-axis and the shear stress component on the y-axis. Figure shows a typical Mohr's Circle for a two-dimensional state of stress. It can be noted that the horizontal axis represents the normal stress σ and the vertical axis (pointing downwards in the positive direction) represents the shear stress τ. Every point on the Mohr's Circle represents a transformed state of stress depending on the angle of orientation θ of the area element.

Mohr's Circle

The objective of this program is to draw the Mohr's Circle on the screen, given the rectangular components of stress.

Features of the Program

This program allows the user to specify the three rectangular stress components in a two-dimensional state of stress, σx, σy and τxy and the angle (in degrees) of plane's axis from x-axis; and view the corresponding values of the Principal Stresses and angles, and the maximum shear stress, and also view the Mohr's Circle.

Overview of the Code

Important Variables - The rectangular stress components given as input are stored in three variables σx, σy and τxy. The principal stresses are stored as σ1 and σ2, and the maximum shear stress as τmax. The direction of planes at which principal stresses σ1 and σ2 occur are stored in φ1 and φ2 respectively. The direction of plane at which maximum shear stress τmax occurs is stored in α. The radius of Mohr's Circle is stored in the variable R and the angle of the plane's axis from the x-axis is stored in the variable w. The average stress which acts at the centre of Mohr's circle is stored in the variable σavg.

Outline - drawMohrsCircle(): The program has only this function. This function is used to compute all the values and print them on the screen. It takes user values for rectangular stress components σx, σy and τxy as well as the angle of plane's axis from the x-axis; w. It then performs mathematical operations on all those values based on some pre-defined formulae. It then uses the both the user defined values as well as computed values to plot the Mohr's Circle using the Matplotlib's Pyplot module.

Owner
Agyeya Mishra
Engineering undergrad, open source contributor & programming enthusiast
Agyeya Mishra
Lightweight, extensible data validation library for Python

Cerberus Cerberus is a lightweight and extensible data validation library for Python. v = Validator({'name': {'type': 'string'}}) v.validate({

eve 2.9k Dec 27, 2022
In-memory Graph Database and Knowledge Graph with Natural Language Interface, compatible with Pandas

CogniPy for Pandas - In-memory Graph Database and Knowledge Graph with Natural Language Interface Whats in the box Reasoning, exploration of RDF/OWL,

Cognitum Octopus 34 Dec 13, 2022
Graphical display tools, to help students debug their class implementations in the Carcassonne family of projects

carcassonne_tools Graphical display tools, to help students debug their class implementations in the Carcassonne family of projects NOTE NOTE NOTE The

1 Nov 08, 2021
Time series visualizer is a flexible extension that provides filling world map by country from real data.

Time-series-visualizer Time series visualizer is a flexible extension that provides filling world map by country from csv or json file. You can know d

Long Ng 3 Jul 09, 2021
Create a visualization for Trump's Tweeted Words Using Python

Data Trump's Tweeted Words This plot illustrates twitter word occurences. We already did the coding I needed for this plot, so I was very inspired to

7 Mar 27, 2022
Regress.me is an easy to use data visualization tool powered by Dash/Plotly.

Regress.me Regress.me is an easy to use data visualization tool powered by Dash/Plotly. Regress.me.-.Google.Chrome.2022-05-10.15-58-59.mp4 Get Started

Amar 14 Aug 14, 2022
PyPassword is a simple follow up to PyPassphrase

PyPassword PyPassword is a simple follow up to PyPassphrase. After finishing that project it occured to me that while some may wish to use that option

Scotty 2 Jan 22, 2022
Rockstar - Makes you a Rockstar C++ Programmer in 2 minutes

Rockstar Rockstar is one amazing library, which will make you a Rockstar Programmer in just 2 minutes. In last decade, people learned C++ in 21 days.

4k Jan 05, 2023
A workshop on data visualization in Python with notebooks and exercises for following along.

Beyond the Basics: Data Visualization in Python The human brain excels at finding patterns in visual representations, which is why data visualizations

Stefanie Molin 162 Dec 05, 2022
This tool is designed to help administrators get an overview of their Active Directory structure.

This tool is designed to help administrators get an overview of their Active Directory structure. In the group view you can see all elements of an AD (OU, USER, GROUPS, COMPUTERS etc.). In the user v

deexno 2 Oct 30, 2022
CLAHE Contrast Limited Adaptive Histogram Equalization

A simple code to process images using contrast limited adaptive histogram equalization. Image processing is becoming a major part of data processig.

Happy N. Monday 4 May 18, 2022
Simple CLI python app to show a stocks graph performance. Made with Matplotlib and Tiingo.

stock-graph-python Simple CLI python app to show a stocks graph performance. Made with Matplotlib and Tiingo. Tiingo API Key You will need to add your

Toby 3 May 14, 2022
3D Vision functions with end-to-end support for deep learning developers, written in Ivy.

Ivy vision focuses predominantly on 3D vision, with functions for camera geometry, image projections, co-ordinate frame transformations, forward warping, inverse warping, optical flow, depth triangul

Ivy 61 Dec 29, 2022
The repository is my code for various types of data visualization cases based on the Matplotlib library.

ScienceGallery The repository is my code for various types of data visualization cases based on the Matplotlib library. It summarizes the code and cas

Warrick Xu 2 Apr 20, 2022
cqMore is a CadQuery plugin based on CadQuery 2.1.

cqMore (under construction) cqMore is a CadQuery plugin based on CadQuery 2.1. Installation Please use conda to install CadQuery and its dependencies

Justin Lin 36 Dec 21, 2022
Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.

py-self-organizing-maps Simple implementation of self-organizing maps (SOMs) A SOM is an unsupervised method for learning a mapping from a discrete ne

Jonas Grebe 6 Nov 22, 2022
A deceptively simple plotting library for Streamlit

🍅 Plost A deceptively simple plotting library for Streamlit. Because you've been writing plots wrong all this time. Getting started pip install plost

Thiago Teixeira 192 Dec 29, 2022
Interactive plotting for Pandas using Vega-Lite

pdvega: Vega-Lite plotting for Pandas Dataframes pdvega is a library that allows you to quickly create interactive Vega-Lite plots from Pandas datafra

Altair 342 Oct 26, 2022
Plotly Dash Command Line Tools - Easily create and deploy Plotly Dash projects from templates

🛠️ dash-tools - Create and Deploy Plotly Dash Apps from Command Line | | | | | Create a templated multi-page Plotly Dash app with CLI in less than 7

Andrew Hossack 50 Dec 30, 2022
This is a Cross-Platform Plot Manager for Chia Plotting that is simple, easy-to-use, and reliable.

Swar's Chia Plot Manager A plot manager for Chia plotting: https://www.chia.net/ Development Version: v0.0.1 This is a cross-platform Chia Plot Manage

Swar Patel 1.3k Dec 13, 2022