Giter VIP home page Giter VIP logo

altrios's People

Contributors

calbaker avatar dependabot[bot] avatar kylecarow avatar mbbruch avatar nreinicke avatar sakhtar312 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar

Forkers

kylecarow

altrios's Issues

Unrealistic number for 0.5*Cd*A in train_res_temp.yaml

  • copy calibrated number to other railcar types

8.44 is the fixed number given for half the drag area of the entire train in train_res_temp.yaml. This document doesn't state how many railcars the train is meant to have, but this drag area is implausibly low for any running train. The bearing friction shown in that document suggests a train length of around 55 cars. At these numbers about 6.7% of the resistance from bearing, rolling and aerodynamic drag will come from aerodynamic drag at 20 meters per second, this is vastly lower than the roughly 30% we should expect to come from aerodynamic drag according to the Davis equation. See the chart here at 40 mph https://pdfcoffee.com/tractive-effort-and-train-resistance-pdf-free.html.

Using this internal CFD simulation from my own startup, https://www.linkedin.com/feed/update/urn:li:activity:7044031752301879296/
a train with one locomotive and 9 intermodal wells should have a total drag area of 19.9. Extrapolating for 55 total cars (using the 8th well car to represent all of the interior cars) gives a total 1/2*CdA of 36.79 for the entire train. This is more than 4 times the given number in train_res_temp.yaml. Replacing 8.44 with 36.79 would give a drag fraction of resistance of 29% at 20 meters per second and no crosswinds, which is very reasonable and about what should be expected from the Davis equation. Of course aerodynamic drag should vary with car types and car counts, but while a single train number is used it needs to be more realistic and much larger than 8.44. Otherwise estimates of fuel/energy consumption will be much too low, adding horsepower will look much better in simulations then in the real world as large speed increases will be shown without much cost in added resistance and fuel, and aerodynamic improvement technologies will appear to have no benefit.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.