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
A shimmer pre-load component for Plotly Dash

dash-loading-shimmer A shimmer pre-load component for Plotly Dash Installation Get it with pip: pip install dash-loading-extras Or maybe you prefer Pi

Lucas Durand 4 Oct 12, 2022
Custom Plotly Dash components based on Mantine React Components library

Dash Mantine Components Dash Mantine Components is a Dash component library based on Mantine React Components Library. It makes it easier to create go

Snehil Vijay 239 Jan 08, 2023
HW_02 Data visualisation task

HW_02 Data visualisation and Matplotlib practice Instructions for HW_02 Idea for data analysis As I was brainstorming ideas and running through databa

9 Dec 13, 2022
An animation engine for explanatory math videos

Powered By: An animation engine for explanatory math videos Hi there, I'm Zheer 👋 I'm a Software Engineer and student!! 🌱 I’m currently learning eve

Zaheer ud Din Faiz 2 Nov 04, 2021
A minimalistic wrapper around PyOpenGL to save development time

glpy glpy is pyOpenGl wrapper which lets you work with pyOpenGl easily.It is not meant to be a replacement for pyOpenGl but runs on top of pyOpenGl to

Abhinav 9 Apr 02, 2022
HM02: Visualizing Interesting Datasets

HM02: Visualizing Interesting Datasets This is a homework assignment for CSCI 40 class at Claremont McKenna College. Go to the project page to learn m

Qiaoling Chen 11 Oct 26, 2021
Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver

Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver, the wheel size, gear shifting sequence by modeling drivetrain constrai

Sabbella Prasanna 1 Jan 11, 2022
nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.

nptsne nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation and HSNE modelling. For more detail s

Biomedical Visual Analytics Unit LUMC - TU Delft 29 Jul 05, 2022
a python function to plot a geopandas dataframe

Pretty GeoDataFrame A minimum python function (~60 lines) to draw pretty geodataframe. Based on matplotlib, shapely, descartes. Installation just use

haoming 27 Dec 05, 2022
NorthPitch is a python soccer plotting library that sits on top of Matplotlib

NorthPitch is a python soccer plotting library that sits on top of Matplotlib.

Devin Pleuler 30 Feb 22, 2022
JupyterHub extension for ContainDS Dashboards

ContainDS Dashboards for JupyterHub A Dashboard publishing solution for Data Science teams to share results with decision makers. Run a private on-pre

Ideonate 179 Nov 29, 2022
A script written in Python that generate output custom color (HEX or RGB input to x1b hexadecimal)

ColorShell ─ 1.5 Planned for v2: setup.sh for setup alias This script converts HEX and RGB code to x1b x1b is code for colorize outputs, works on ou

Riley 4 Oct 31, 2021
paintable GitHub contribute table

githeart paintable github contribute table how to use: Functions key color select 1,2,3,4,5 clear c drawing mode mode on turn off e print paint matrix

Bahadır Araz 27 Nov 24, 2022
Keir&'s Visualizing Data on Life Expectancy

Keir's Visualizing Data on Life Expectancy Below is information on life expectancy in the United States from 1900-2017. You will also find information

9 Jun 06, 2022
Streamlit-template - A streamlit app template based on streamlit-option-menu

streamlit-template A streamlit app template for geospatial applications based on

Qiusheng Wu 41 Dec 10, 2022
An open-source plotting library for statistical data.

Lets-Plot Lets-Plot is an open-source plotting library for statistical data. It is implemented using the Kotlin programming language. The design of Le

JetBrains 820 Jan 06, 2023
A curated list of awesome Dash (plotly) resources

Awesome Dash A curated list of awesome Dash (plotly) resources Dash is a productive Python framework for building web applications. Written on top of

Luke Singham 1.7k Dec 26, 2022
daily report of @arkinvest ETF activity + data collection

ark_invest daily weekday report of @arkinvest ETF activity + data collection This script was created to: Extract and save daily csv's from ARKInvest's

T D 27 Jan 02, 2023
Geocoding library for Python.

geopy geopy is a Python client for several popular geocoding web services. geopy makes it easy for Python developers to locate the coordinates of addr

geopy 3.8k Jan 02, 2023
Apache Superset is a Data Visualization and Data Exploration Platform

Superset A modern, enterprise-ready business intelligence web application. Why Superset? | Supported Databases | Installation and Configuration | Rele

The Apache Software Foundation 50k Jan 06, 2023