Volume 36 Issue 6
Dec.  2021
Turn off MathJax
Article Contents
HE Lei, HE Liang, MA Xiaoyang. Design of Database Application System for Hull Structural Steel and Welding Materials[J]. Development and Application of Materials, 2021, 36(6): 49-55.
Citation: HE Lei, HE Liang, MA Xiaoyang. Design of Database Application System for Hull Structural Steel and Welding Materials[J]. Development and Application of Materials, 2021, 36(6): 49-55.

Design of Database Application System for Hull Structural Steel and Welding Materials

  • Received Date: 2021-07-13
  • Publish Date: 2021-12-25
  • In order to promote the storage validity and utilization efficiency, the database application system of hull structural steel and welding materials is designed and developed by using SQL Server as background database, VB as system development and ODBC data source as connection technology. The system has four functional modules:structural steel information query, welding material information query, standard query and report query. Structural steel welding rod has been taken as an example to test the practicability of the system. The mechanical performance prediction is realized by the construction of the intelligent framework for performance prediction and the neural network model, and the transformation of neural network matrix model into VB code. It has a certain reference and practical value for the design of structural steel and welding materials.

     

  • loading
  • [1]
    张豪, 雷运涛, 魏金山. 高强度船体结构钢的现状与发展[J]. 钢结构, 2004, 19(2):38-40.
    [2]
    王卓, 王礞, 雍歧龙, 等. 材料信息学及其在材料研究中的应用[J]. 中国材料进展, 2017, 36(2):132-140.
    [3]
    杨丽, 苏航, 柴锋, 等. 材料数据库和数据挖掘技术的应用现状[J]. 中国材料进展, 2019, 38(7):672-681.
    [4]
    何冰, 米鹏辉, 张力文, 等. The Most Comprehensive Database of Ionic Transport Characteristics to Date[J]. 材料导报, 2020, 34(20):20001-20002.
    [5]
    向勇, 闫宗楷, 朱焱麟, 等. 材料基因组技术前沿进展[J]. 电子科技大学学报, 2016, 45(4):634-649.
    [6]
    GU Q, ZHONG R, JU D Y. Development of materials database system for cae system of heat treatment based on data mining technology[J]. Transactions of Nonferrous Metals Society of China, 2006, 16:s572-s576.
    [7]
    LEI T Y, PENG W P, LEI J, et al. A product mo-dule mining method for PLM database[J]. Journal of Central South University, 2016, 23(7):1754-1766.
    [8]
    XU R, ZHAO Y H, HAN Q Z, et al. On the database-based strategy of candidate extractant generation for de-phenol process in coking wastewater treatment[J]. Chinese Journal of Chemical Engineering, 2018, 26(7):1570-1580.
    [9]
    JIE J S, WENG M Y, LI S N, et al. A new MaterialGo database and its comparison with other high-throughput electronic structure databases for their predicted energy band gaps[J]. Science China Technological Sciences, 2019, 62(8):1423-1430.
    [10]
    唐辉, 齐乐华, 李贺军. 基于SQL Server的C/C复合材料实验数据库系统平台的设计开发[J]. 新型炭材料, 2007, 22(2):148-152.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (122) PDF downloads(14) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return