登录
首页 » Fortran » ABAQUS-UMAT-plasticity

ABAQUS-UMAT-plasticity

于 2021-04-05 发布 文件大小:9852KB
0 180
下载积分: 1 下载次数: 67

代码说明:

  帮助umat学习者快速入门,并且详细理解umat的内在运行机制(Umat help learners QuickStart, and a detailed understanding of the inner workings of the mechanism umat)

文件列表:

ABAQUS-UMAT-plasticity.pdf,18226901,2015-04-16

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • python for informatics
    python for informatics, 专门介绍如何用python进行数据分析和统计(Introduce how to use Python for data analysis and statistics)
    2020-06-22 12:00:01下载
    积分:1
  • Nine-Free-Programs-Ebook
    this is a book on nine free programs every pc should have.
    2009-11-09 00:47:41下载
    积分:1
  • apb
    this is file for c++ learning in chinese version
    2010-06-05 21:51:32下载
    积分:1
  • keil入门
    keil简单入门书籍,适合于新手入门使用......(Keil simple introductory books)
    2018-02-12 13:59:33下载
    积分:1
  • OreillyHeadFirstJavascript
    javascript pdf ebook
    2010-11-22 08:09:31下载
    积分:1
  • GPS_INS_matlab
    适用于低成本组合导航系统的松组合算法。.(an approach which is suit for the low-cost navigation system.)
    2017-06-11 15:57:58下载
    积分:1
  • Deal_with_DLL
    说明:  在AutoIt3中如何处理DLL库的教程(The AutoIt3 tutorial in how to deal with DLL)
    2010-03-24 12:45:18下载
    积分:1
  • shiliangkongzhifangzhen
    异步电机矢量控制系统,可以为初学者做系统调试使用。也可以作为多台电机协同控制的基础系统。(Induction motor vector control system, you can do system debug for beginners. It can be used as the basis of more than one motor cooperative control system.)
    2021-04-29 11:28:43下载
    积分:1
  • kaggle_diabetic-master
    A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh. Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images. You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.
    2019-05-11 15:31:21下载
    积分:1
  • PronyToolbox
    prony matlab toolbox
    2020-11-02 09:39:53下载
    积分:1
  • 696518资源总数
  • 104269会员总数
  • 42今日下载