ISSN 3080-8022(Print)
ISSN 3080-8030(Online)
Past Views
Copyright

ISSN 3080-8022(Print)
ISSN 3080-8030(Online)
CODEN:SOABCV
(International Standard Serial Identifier ·
Globally Unique Identifier)
Assigning Agency: Chemical Abstracts Service (CAS)
Editorial Board
Editor-in-chief
Zheng Wentao
Editor-in-Chief of Health Sciences
Professor Kaibin Huang/China
Research Alias:Baichuan
Deputy Editor-in-Chief
Xiaoming Li,72nd Group Army Hospital,People’s Liberation Army of China/Min Liu,Affiliated Hospital of Gansu University of Chinese Medicine,China/Xiabing Chen,China/Bishan Chen,China/Miaona Li,China/Shengmei Ye,China/Yili Zhang,China/Xiaomin Zhao,China/Dawen Peng,China/Jieping Xu,China / Suleman Khan,UK/Saraju P.Mohanty,USA/Gautam Srivastava,Canada(The above rankings are not in order)
Editorial Board Member
Shubin LiuPhD/Gansu Provincial Hospital of Traditional Chinese Medicine,China
Yuwei Zhang/Chongqing University,China
Assistant to the Editorial Board
Xiaojing Li,China
Journal Homepage
Online Subm.
Join Us
Index / Retrieve / Archive
DOI
Index Copernicus
EuroPub Publishing Company
Eurasian Science Journal Index(ESJI)
Yangtze River Repos.(cjwk.cn)
Open Access Library(OALib)
Kind Congress(Azerbaijan)
Research Bible
Sci Online
Baidu Baike
Editing and Publishing:
Quest Press Limited
Address:
7th Floor,D, No.19,Palawak
Lane,Macau
Telephone:
+853 6881 9699
Email:
QuestPress@hotmail.com
Web site:
http://sci.scionline2025.com


  首页 -> 往期阅览-> 2025年
《Sci Online》( ISSN 3080-8022、EISSN 3080-8030 ) Publisher:Quest Press Release Date:2025/10/9
10.12479/questpress-scionline.20250113 Open Access Downloaded 1 Viewed 53

 

Big data analysis empowers optimization of building structure design problem analysis and strategy construction

Yuanping Lin
Beihai Vocational College of Wellness, Beihai Guangxi 536000, China
Abstract:In the context of the transformation of the construction industry towards green and intelligent development, big data analysis provides a new path for optimizing building structure design. This article analyzes the application value of big data analysis in building structure design through literature research and case analysis. It points out the four core problems currently faced, including uneven data quality, difficulties in technology implementation, shortage of professional talents, and data security risks. The causes are analyzed from the dimensions of data management, technology research and development, talent cultivation, and security assurance. On this basis, strategies such as building a standardized data management system, promoting technology adaptation and implementation, improving talent attraction and education mechanisms, and enhancing security guarantee systems are proposed. Research has shown that big data analysis can effectively enhance the scientificity of design, reduce costs, and improve efficiency. Relevant strategies can provide reference for solving practical problems and promoting high-quality development of building structural design.
Keywords:big data analysis; Architectural structural design; Design optimization; data management
 
 
 
  Peer Review Editorial Services Research Ethics Policy Contributorship & Authorship About Quest Press / Macau Sino Int. Med. Press
  Global Indexing Copyright Licensing Data Sharing Policy Appeal/Correction/Retraction
  Online Submission To the Librarian Open Access Statement Misconduct Handling Policy
  Content Licensing Guidelines for Reviewers Quality Control Mechanism Academic Misconduct Screening Policy
  Advertising Policy Article Processing Charge (APC) Publication Ethics Policy Call for Editorial Board Members/Associate Editors/Peer Reviewers/Editors-in-Chief