3 Star 10 Fork 0

GinkGo.LTD/WAWS

加入 Gitee
与超过 1200万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :)
免费加入
克隆/下载
贡献代码
同步代码
取消
提示: 由于 Git 不支持空文件夾,创建文件夹后会生成空的 .keep 文件
Loading...
README
MIT

WAWS

介绍

WAWS is a generalized solver for wind simulation by utilizing weighted Amplitude Wave Superpostion method. Although it is a quite mature and wide-used method, there is no avaible python module for it.

WAWS is developed as an open-source code with the following objectives:

  • an open, well-documented implementation of the WAWS models for modeling stationary gust wind field;
  • be capable of simulated several wind spectrum, such as Davenport, Harris and Simiu etc.;

I hope that this program will be used by research laboratories, academia, and industry to simulated gust wind fields.

The program is still under development. New featrues will be added:

  • The interpolation algorithm will be introduced to acclerate the decompositon of cross-spectrum matrix
  • Non-stationay gust wind simulation
  • Other wind simulation method

I am still struggling with my Doctoral thesis, the new featrue will developed in futrue.

软件架构

The program is consisted of several spectrum functions, helper functions and two classes (ConfigData, GustWindField). All the simulating parameters are inputed in "config.ini" file, and the ConfigData class is implemented to parse the the "config.ini" file. And the GustWindField class is in charge of the whole process of the WAWS.

安装教程

  1. make sure you have installed the following modules:

    • numpy
    • scipy
    • matplotlib
    • numba
  2. don not need to install, just download and copy to your project directory, and

  3. import waws

使用说明

it is easy to use.

import waws


if __name__ == "__main__":
    config = waws.ConfigData("config.ini")
    gust = waws.GustWindField(config)
    gust.generate(mean=True, method="fft")
    gust.save()
    gust.error()

参与贡献

  1. Fork 本仓库
  2. 新建 Feat_xxx 分支
  3. 提交代码
  4. 新建 Pull Request

MIT License Copyright (c) 2021 fifth_runway Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

简介

谐波合成法(Weighted Amplitude Wave Superposition Method)生成脉动风荷载 展开 收起
Python
MIT
取消

发行版

暂无发行版

贡献者

全部

近期动态

不能加载更多了
马建仓 AI 助手
尝试更多
代码解读
代码找茬
代码优化
1
https://gitee.com/ginkgoltd/waws.git
git@gitee.com:ginkgoltd/waws.git
ginkgoltd
waws
WAWS
master

搜索帮助