登录
首页 » python » ABAQUS离散元脚本

ABAQUS离散元脚本

于 2022-01-28 发布 文件大小:2.39 kB
0 93
下载积分: 2 下载次数: 2

代码说明:

离散元方法(DEM)首次于20世纪70年代由CundallandStrack在《A discrete numerical model for granular assemblies》一文提出,并不断得到学者的关注和发展。..............................................................................................

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

  • 负荷预测(python例子)
    实时负荷预测,15分钟到4小时
    2021-05-06下载
    积分:1
  • training
    说明:  kaggle竞赛题————存活预测(xgboost方法)的训练集,891条数据(The training data of Titanic Accident Survival Prediction in Kaggle Initial Competition (xgboost method))
    2019-03-13 15:37:54下载
    积分:1
  • new_model1(1)
    python编程对于心电信号项目的预处理仿真建模(The ECG processing program based on Python is for reference only)
    2020-06-22 18:00:01下载
    积分:1
  • python遍历文件夹下的所有文件以及文件夹(含子文件夹)
    python遍历文件夹下的所有文件以及文件夹(含子文件夹)
    2019-12-02下载
    积分:1
  • object-intersection
    blender script to make a object intersection
    2014-01-12 21:59:12下载
    积分:1
  • Learning Data Mining with Python
    Python数据挖掘入门与实践 本书作为数据挖掘入门读物,介绍了数据挖掘的基础知识、基本工具和实践方法,通过循序渐进地讲解算法,带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式,呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果,如何使用亲和性分析方法推荐电影,如何使用朴素贝叶斯算法进行社会媒体挖掘,等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。(Introduction and practice of Python data mining As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)
    2019-05-19 03:08:27下载
    积分:1
  • 在abaqus中嵌入零厚度cohesive单元Insert_Coh
    在abaqus中嵌入零厚度cohesive单元(Embedding zero thickness cohesive element in ABAQUS)
    2020-07-07 20:58:56下载
    积分:1
  • machine learning enample of spam email
    说明:  机器学习示例之垃圾邮件识别,包括csv数据和python代码(machine learning example of spam email filter, including csv data and python code)
    2021-04-04 23:03:45下载
    积分:1
  • SKlearn在Spark上的拓展源码包
    SKlearn是很好的机器学习和统计学习包,附件分享的这个是能够在Spark上运行的拓展源码包。
    2022-05-29 04:37:12下载
    积分:1
  • MIMO-master
    说明:  预编码 BER仿真 matlab ,MIMO,预编码算法仿真,precoding MIMO,BER(Precoding BER simulation matlab, MIMO, precoding algorithm simulation, precoding MIMO, BER)
    2021-03-17 16:29:20下载
    积分:1
  • 696518资源总数
  • 106208会员总数
  • 21今日下载