Deformation Prediction of Soft Foundation in Airport Based on Grey Time Series Combined Model

DOI

10.2991/iwmecs-18.2018.11How to use a DOI?

Keywords

grey; time series; airport; settlement prediction

Abstract

With the rapid development of China's civil aviation industry, more and more large aircrafts appear in the civil aviation industry, which puts forward new requirements for the construction of airport runway. Especially in the eastern coastal areas of China, where the soft clay layer is widely distributed, it is of great significance to fully understand and master the laws of settlement of soft ground in airport, so as to avoid unnecessary accidents. Based on the settlement monitoring data of soft foundation in an airport, in this paper the time series analysis, the grey system theory and the combination model prediction method are studied. The results show that the MGM (1,3) +AR (3) model combination can not only reflect the trend of the development and change of the sequence data, but also consider the effects of stochastic fluctuations in the data sequence, which can fit and forecast with high precision. The research results provide a reliable basis for the safety of soft foundation treatment in the construction period and operation period, and provide reference for scientific research and theoretical calculation.

Copyright

© 2018, 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  - Jianbo Zheng
PY  - 2018/04
DA  - 2018/04
TI  - Deformation Prediction of Soft Foundation in Airport Based on Grey Time Series Combined Model
BT  - Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
PB  - Atlantis Press
SP  - 52
EP  - 57
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-18.2018.11
DO  - 10.2991/iwmecs-18.2018.11
ID  - Zheng2018/04
ER  -