Proceedings of the 2015 International Conference on Architectural, Civil and Hydraulics Engineering

Analysis of Neural Network Models in Prediction of Ground Surface Settlement around Deep Foundation Pit

Authors
Fuzhang Zhao, Chen Chen, Fang Qian
Corresponding Author
Fuzhang Zhao
Available Online November 2015.
DOI
10.2991/icache-15.2015.81How to use a DOI?
Keywords
prediction of ground surfacesettlement; deep foundation pit; PSO-BP neural network; GA-BP neural network;GRNN neural network
Abstract

During the foundation pit excavation,the prediction of ground surface settlement around deep foundation pit is directly related to the safety of the foundation pit excavation, surrounding buildings and pipelines, but the ground surface settlement of foundation pit has the characteristics of nonlinear and fuzzy. So it is necessary to monitor and predict the excavation settlement according to the excavation conditions, the surrounding environment, security level and other buildings around. Neural networkcan simulate any unknown system of complex polygene conveniently and high precision. GRNN and two improved BP neural network prediction models are established to predictsettlement in this paper. The ground surfacesettlement around a deep foundation pit is predicted with all main influential factors being taken into account properly. The three neural network prediction models—GRNN, PSO-BP and GA-BPpredictionmodel are analyzed in principle and network architecture design.And they are used to predict ground surface settlement for an engineering example in Beijing. The prediction results show that neural network have high feasibility and reliabilityin predicting ground surface settlement around deep foundation pit, and neural network will have better application prospect in the field of geotechnical in-situ testing & monitoring.

Copyright
© 2015, 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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Volume Title
Proceedings of the 2015 International Conference on Architectural, Civil and Hydraulics Engineering
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
978-94-6252-139-1
ISSN
2352-5401
DOI
10.2991/icache-15.2015.81How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Fuzhang Zhao
AU  - Chen Chen
AU  - Fang Qian
PY  - 2015/11
DA  - 2015/11
TI  - Analysis of Neural Network Models in Prediction of Ground Surface Settlement around Deep Foundation Pit
BT  - Proceedings of the 2015 International Conference on Architectural, Civil and Hydraulics Engineering
PB  - Atlantis Press
SP  - 418
EP  - 424
SN  - 2352-5401
UR  - https://doi.org/10.2991/icache-15.2015.81
DO  - 10.2991/icache-15.2015.81
ID  - Zhao2015/11
ER  -