Chaotic Time Series Analysis of Near-Fault Ground Motions and Structural Seismic Responses

2009 ◽  
pp. 301-307
Author(s):  
Dixiong Yang ◽  
Pixin Yang
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Ground Motions ◽  
Chaotic Time Series ◽  
Seismic Responses ◽  
Near Fault ◽  
Series Analysis ◽  
Chaotic Time Series Analysis

CHAOTIC CHARACTERISTIC ANALYSIS OF STRONG EARTHQUAKE GROUND MOTIONS

2012 ◽  
Vol 22 (03) ◽  
pp. 1250045 ◽  
Author(s):  
DIXIONG YANG ◽  
PIXIN YANG ◽  
CHANGGENG ZHANG
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Strong Earthquake ◽  
Ground Motions ◽  
Chaotic Time Series ◽  
Characteristic Analysis ◽  
Acceleration Time ◽  
Earthquake Ground Motions ◽  
Series Analysis ◽  
Chaotic Time Series Analysis

This paper aims to analyze and understand the irregularity and complexity of earthquake ground motions from the perspective of nonlinear dynamics. Chaotic dynamics theory and chaotic time series analysis are suggested to examine the nonlinear dynamical characteristic of strong earthquake ground motions. Based on the power spectral analysis, principal component analysis and modified false nearest neighbors method, it is illustrated qualitatively that the acceleration time series of earthquake ground motions exhibit chaotic property. Next, the chaotic time series analysis is proposed to calculate quantitatively the nonlinear characteristic parameters of acceleration time histories of near-fault ground motions. Numerical results show that the correlation dimension of these ground motions is fractal dimension. Their Kolmogorov entropy is a limited positive value, and their maximal Lyapunov exponent is larger than 0. It is demonstrated that the strong earthquake ground motions present the chaotic property rather than the pure random signals, and the severe irregularity and complexity of ground motions are the reflection of high nonlinearity of earthquake physical process.

Research on Ship Swaying Motion Prediction Based on Multi-Variable Chaotic Time Series Analysis

2013 ◽  
Vol 712-715 ◽  
pp. 1550-1554
Author(s):  
Xin Dong Yang ◽  
Zuo Chao Wang ◽  
Ai Guo Shi ◽  
Bo Liu ◽  
Li Li
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Chaotic Time Series ◽  
Ship Motion ◽  
Ship Motions ◽  
Sea State ◽  
Time Prediction ◽  
Series Analysis ◽  
Short Time ◽  
Chaotic Time Series Analysis

Wind and waves have particularly significant influence upon exertion of naval vessels battle effectiveness. It is urgently necessary to improve the ability of the Navy to carry out combat service in severe sea state normally. This paper aims to obtain the accurate prediction of ship motions with second level predictable time in real waves. According to the characteristics of the ship motion, the research on extremely short-time prediction of ship motion has been carried out based on multi-variable chaotic time series analysis, and the effectiveness of the prediction of ship motion in real wave is highly improved.

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