Affiliations: [a]
Beijing Institute of Technology, Beijing, China
| [b]
North China Institute of Science and Technology, East Beijing, China
Correspondence:
[*]
Corresponding author. Wang Zhongqi, Beijing Institute of Technology, Beijing, 100081, China. E-mail: czqwang@bit.edu.cn.
Abstract: In order to determine the explosion value in the confined space, this time the simulation model of the deep learning algorithm is used to study it. The research status of deep learning algorithm is first expounded, and the numerical record of gas explosion in confined space is constructed according to computer technology. In order to ensure the optimization of numerical processing, the deep learning algorithm is used to process the simulation data to ensure the accuracy of the explosion value. In order to further test the numerical accuracy of the numerical model of gas limited space explosion, the comparison of different values in the constrained space is carried out, and the efficiency and accuracy of the deep learning algorithm are tested. The test results show the application of deep learning algorithm. The accuracy of the explosion value is further guaranteed and needs further application.
Keywords: Deep learning algorithm, confined space, gas explosion, model
construction
