Open AccessCommon Problems in Stress Analysis of Concrete Cutoff Wall Based on Big Data Analysis
Author(s) -
Ma Long,
Shixiang Cai,
Zhenling Liu,
Yingying Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1578/1/012176
Subject(s) - stress (linguistics) , cluster analysis , structural engineering , computer science , big data , engineering , data mining , artificial intelligence , philosophy , linguistics
In order to ensure the safety of various buildings, the application of concrete cut off wall in various buildings is more and more extensive. The stress of cut off wall is directly related to the stability of the wall. At present, many scholars have made in-depth research on stress analysis of concrete cut off wall. With the development of big data analysis technology, it has been applied to stress analysis of cut off wall. With its application and further research, it can be found that there are some common problems in stress analysis of concrete cut off wall based on big data analysis, which affect the accuracy of analysis results. Therefore, it is urgent to study these problems in depth. Based on the analysis of big data, this paper collected and processed the stress data of cut off wall in detail, and obtained the common problems in stress analysis of concrete cut off wall with the help of clustering analysis algorithm, and put forward relevant improvement Suggestions on this basis. It not only guarantees the accuracy of the stress analysis results, but also has reference significance for the future related research.