According to the nonlinear characteristics of slope displacement-time series
the information offered by the time series datum sets can be fully exploited and the trend of slope displacement evolution can be precisely predicted by making real-time forecasting based on phase space reconstruction. The method of local function approximation and the prediction based on Lyapunov exponents are discussed in this paper. The examples suggest that the methods based on phase space reconstruction aremore accurate and more adaptable than the decomposition model of non-stationary time series.
Law of time-dependent deformation and chaos characteristics of goaf surface based on empirical mode decomposition and phase space reconstruction technique
TU 441+.6 Study on chaotic characteristics of soft soil foundation deformation in Pearl River Delta
Physical-mechanical properties and durability analysis of foamed lightweight soil based on excavated soil and fly ash
Mechanism of water infiltration affecting ground ice melting in the silty clay layers of the Dema Expressway in the eastern Qinghai-Xizang Plateau
Experimental study on the definition and evolution characteristics of unfrozen water retention states in frozen clay
Related Author
ZHANG An-bing
LIU Xin-xia
GAO Jing-xiang
ZHANG Zhao-jiang
LIU Yong-jian
Related Institution
School of Resources, Hebei University of Engineering
School of Environment Science and Spatial Informatics, China University of Mining and Technology
Research Institute of Geotechnical Engineering, Guangdong University of Technology
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences