| Issue |
E3S Web Conf.
Volume 233, 2021
2020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 8 | |
| Section | HCCE2020-Hydraulic, Civil and Construction Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202123303001 | |
| Published online | 27 January 2021 | |
Safety Prediction of Deep Foundation Pit Based on Neural Network and Entropy Fuzzy Evaluation
College of Civil Engineering of Fuzhou University, Fuzhou, Fujian , China
Xie Xiudong:E-mail:zlxxd@163.com
The monitoring data can effectively reflect the safety status of the project during the construction of deep foundation pit, and the risks existing in the project can be discovered in time and the development trend can be reasonably predicted through the processing and analysis of the existing monitoring data. In this paper, a deep foundation pit in compound soil area of a coastal city was taken as an example, the BP neural network was taken to predict the monitoring data in the next stage, the entropy method was utilized to determine the weight of the evaluation index according to the predicted value, and the fuzzy comprehensive evaluation method was used to quantitatively describe the future safety status, so as to formulate targeted countermeasures and improve the construction safety.
© The Authors, published by EDP Sciences 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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