E3S Web Conf.
Volume 236, 20213rd International Conference on Energy Resources and Sustainable Development (ICERSD 2020)
|Number of page(s)||4|
|Section||Sustainable Development and Prevention of Urban Environmental Pollution|
|Published online||09 February 2021|
Displacement Prediction of Surrounding Rock in Tunnel Based on cellular ant algorithm
1 Shanghai Urban Construction Vocational College, 200438, Shanghai, China
2 Shanghai Institute of Technology, 201418 Shanghai, China
* Corresponding author: firstname.lastname@example.org
The deformation of tunnel surrounding rock is the key factor to analyze the stability of surrounding rock. However, due to the influence of many factors and the strong non-linear relationship between the factors, it is difficult to predict the deformation effectively. In this paper, a method based on cellular ant neural network model is proposed to simulate the displacement of surrounding rock with time. The results show that this method is efficient and feasible, and can meet the requirements of engineering and control.
© The Authors, published by EDP Sciences 2021
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