Analysis and Prediction of Soft Foundation Settlement for Expressway Based on BP Neural Network

DOI

10.2991/aece-16.2017.61How to use a DOI?

Keywords

soft foundation; the BP neural network; settlement prediction

Abstract

This paper introduced the principle of BP neural network and established the model of foundation settlement prediction. To analyze the rules of soft foundation settlement, the BP neural network was used to fit and optimize the settlement data of one expressway project. And the one-dimensional consolidation theory and the BP neural network are compared with measured data respectively. The analysis results show that the one-dimensional consolidation theory are more conservative in security while the BP neural network method more accurate and more economical in the practical engineering. It indicates that the BP neural network is an effective method and can be widely used in practical engineering.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qi SHEN
AU  - Yang LI
AU  - Chunli PENG
PY  - 2016/12
DA  - 2016/12
TI  - Analysis and Prediction of Soft Foundation Settlement for Expressway Based on BP Neural Network
BT  - Proceedings of the 2016 International Conference on Architectural Engineering and Civil Engineering
PB  - Atlantis Press
SP  - 274
EP  - 277
SN  - 2352-5401
UR  - https://doi.org/10.2991/aece-16.2017.61
DO  - 10.2991/aece-16.2017.61
ID  - SHEN2016/12
ER  -