https://github.com/rpakishore/nbcc-loadings

Library to obtain NBCC Loadings
https://github.com/rpakishore/nbcc-loadings

pip python

Last synced: 12 days ago
JSON representation

Library to obtain NBCC Loadings

• Host: GitHub
• URL: https://github.com/rpakishore/nbcc-loadings
• Owner: rpakishore
• License: mit
• Created: 2023-02-16T21:21:10.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-23T23:46:27.000Z (about 1 year ago)
• Last Synced: 2024-10-11T09:35:05.075Z (about 1 month ago)
• Topics: pip, python
• Language: Python
• Homepage:
• Size: 35.2 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        



  
NBCC Loadings

  


    Library to obtain NBCC Loadings

  



    View Demo

   · 

    Documentation

   · 

    Report Bug

   · 

    Request Feature

  






[![tests](https://github.com/rpakishore/nbcc-loadings/actions/workflows/test.yml/badge.svg)](https://github.com/rpakishore/nbcc-loadings/actions/workflows/test.yml)

![GitHub commit activity](https://img.shields.io/github/commit-activity/m/rpakishore/nbcc-loadings)

![GitHub last commit](https://img.shields.io/github/last-commit/rpakishore/nbcc-loadings)

![PyPI - Format](https://img.shields.io/pypi/format/nbcc_loading) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/nbcc_loading)

Table of Contents


- [1. About the Project](#1-about-the-project)

- [2. Getting Started](#2-getting-started)

  - [2.1. Installation](#21-installation)

- [3. Usage](#3-usage)

- [4. Roadmap](#4-roadmap)

- [5. License](#5-license)

- [6. Contact](#6-contact)

- [7. Acknowledgements](#7-acknowledgements)

## 1. About the Project

A library to supply NBCC loadings, to be incorporated into other calculations

## 2. Getting Started

### 2.1. Installation

Install from pypi

```bash

pip install nbcc_loading

```

## 3. Usage

```python

# Load required modules

from nbcc_loading import Snow, Wind

# Set the year

snow = Snow.set_year(year=2015) 

## Can also directly call instance, such as

wind = Wind(2015)

# Get the 3 closest stations to specified coordinates

s_loads = snow.by_gps(latitude=49.2508744, longitude=-122.9032094, data_points=3)

w_load = wind.by_location(city='Agassiz')

# Extract Station Information

s_load = s_loads[0]

s_load.Ss # Snow Load

s_load.Sr # Rain Load

w_load.yr10 # 10-year return wind

w_load.yr50 # 50-year return wind

```

## 4. Roadmap

- [ ] Snow Loadings

  - [x] NBCC 2020

  - [x] NBCC 2015

  - [ ] NBCC 2010

- [ ] Wind Loadings

  - [x] NBCC 2020

  - [x] NBCC 2015

  - [ ] NBCC 2010

- [ ] Seismic Loadings

  - [ ] NBCC 2020

  - [ ] NBCC 2015

  - [ ] NBCC 2010

## 5. License

See `LICENSE` for more information.

## 6. Contact

Arun Kishore - [@rpakishore](mailto:[email protected])

Project Link: [https://github.com/rpakishore/nbcc-loadings](https://github.com/rpakishore/nbcc-loadings)

## 7. Acknowledgements

- [Awesome README Template](https://github.com/Louis3797/awesome-readme-template/blob/main/README-WITHOUT-EMOJI.md)

- [Shields.io](https://shields.io/)