#civil-engineering #engineering-library #civil

civil

a library to support civil engineering applications (WIP)

9 releases

✓ Uses Rust 2018 edition

0.1.5 Feb 14, 2019
0.1.4 Feb 12, 2019
0.0.3 Feb 7, 2019
Download history 6/week @ 2019-01-31 63/week @ 2019-02-07

24 downloads per month

MIT license

1.5MB
6K SLoC

PHP 4.5K SLoC Rust 1.5K SLoC // 0.1% comments Python 71 SLoC // 0.2% comments

Build Status License: MIT

This is a work in progress

Civil

This package is meant to provide solutions to common civil engineering problems. Everything is very much a work in progress. Ideally, on maturity, this library should support developers interested in making applications that assist with tasks like determining the geometric design of streets, sizing culverts and basic economic analysis for construction projects. The ultimate goal is to have a simple API for common civil engineering design equations so that an application developer can focus more on application-specific implementation rather than on researching methods.

A good example of the intended effect would be if a web developer could write a short function in Rust that uses this API to, say, calculate the flow of water in an open channel given channel dimensions and roughness, then compile that to WASM and call that function from JS with user inputs to produce a graphical representation of the channel in a <canvas></canvas> element. Another good use case would be the functions in this library being used to support a module or extension in a CAD suite.

The aim of Civil is to be comprehensive enough to be useful, but simple enough to be flexible and lightweight. Consequently, complex tasks, like reading in digital elevation models, delineating watersheds and transforming geometric objects to be written to some very vendor-specific file types (I'm looking at you .DWG) is out of scope for this project.

Why?

Why this library?

  1. There are no similar FOSS libraries for Rust that fill this role.

Why make a library at all?

  1. Engineers and designers solve important, tangible problems. Modern infrastructure like water and sanitation enable a quality of life that was impossible just a few generations years ago. Lowering the barriers to providing these benefits to more people makes the world a better place. Robust, freely available software lowers the barriers, and currently there are not the multitude of tools available such as those for problem domains like, dev-ops, for example.

Why Rust?

  1. Rust provides a combination of safety and performance guarantees that are hard to find elsewhere (or at least, never achieved much popularity). I think the need for total reliability of engineering design software should be self-explanatory.

The Road to 0.1.0

Checklist:

  • Scaffold for finished program is near complete. Modules have a sensible layout and major logical groupings have been made.
  • Module files properly reference other shell module files
  • At least one useful thing exposed
  • Sensible TO-DOs where they belong for reference

The Road to 1.0.0

Checklist:

  • All essential modules and functions have been written
  • 100% function documentation
  • 90% code coverage or better
  • Partial benchmarking of functions to support implementation style
  • All unstable features are migrated to a development branch.

Beyond!

Checklist:

  • Usage examples: civil as an API for simple CLI tools, WASM targets, etc.
  • Markdown book to clarify usage
  • Optimization
  • New features

Contributing

There is basically no aspect of this project where contribution isn't welcomed. If you see a gap in the code, make a pull request. I'm not a professional developer, so if you see some pretty obvious meta-programming faux pax, bring it up.

Things this project needs:

  • Everything.
  • Tests
  • Benchmarks
  • Documentation

What if I don't know anything about civil engineering?

There are some excellent texts that thoroughly list most of the functions appropriate for this library. You don't necessarily need to fully understand their context and usage as long as you can translate an equation into rust with sensible inputs and outputs.

The Do's:

  1. The file hierarchy should be clear and have intuitive organization based on logical groupings of tasks.
  2. Clear documentation should be provided with every function or struct.
  3. Clear documentation also means citation. If you add a function, then also provide a source. IEEE style citations are always good.
  4. The build target is stable Rust. We all like nightly features, but the end user should not be forced to abandon the stable release to use this library.
  5. Modules should be as independent as possible.
  6. Write tests.
  7. Formulas should be unit-system agnostic where possible, and should handle differing unit systems (imperial or metric) appropriately. The preference would be for functions to have their unit system as a suffix. There may be a cleaner implementation for this, but for now, explicit seems safer.

The Dont's:

  1. Do not introduce dependencies that are not actually necessary. Using the new hotness in async should be left up to the end user. Very few of these functions actually require anything more sophisticated than High School algebra and geometry.
  2. Do not create interdependencies between top-level modules. Your geotech functions shouldn't break your hydrology functions.

No runtime deps