Soft Soil Foundation Settlement Prediction and Economic Cost Management Analysis based on New Algorithm

DOI

10.2991/emcs-15.2015.81How to use a DOI?

Keywords

Contrary degree; Opposite Degree; Soft soil; Foundation settlement; Economic cost management

Abstract

In order to predict the soft soil foundation settlement and analyze economic cost management, the basic concepts of soil foundation settlement are discussed. A new prediction algorithm is proposed. The new prediction algorithm principles of numerical prediction are described based on the basic concept of contrary degree and Opposite Degree. Firstly, the relevant data is selected from engineering example; then, according to the contrary degree algorithm, the test set and prediction set are calculated based on Opposite Degree computation; finally, in order to evaluation experimental results, the prediction results compared with BP neural network algorithm and Opposite Degree algorithm. The results show that, Opposite Degree computation algorithm is an effective method for settlement prediction of soft soil foundation. At last, we analyzed the economic cost in soft soil foundation and put forward some management suggestions.

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/).

Download article (PDF)

TY  - CONF
AU  - Shun Zhou
AU  - Xiaoguang Yue
PY  - 2015/01
DA  - 2015/01
TI  - Soft Soil Foundation Settlement Prediction and Economic Cost Management Analysis based on New Algorithm
BT  - Proceedings of the International Conference on Education, Management, Commerce and Society
PB  - Atlantis Press
SP  - 387
EP  - 391
SN  - 2352-5398
UR  - https://doi.org/10.2991/emcs-15.2015.81
DO  - 10.2991/emcs-15.2015.81
ID  - Zhou2015/01
ER  -