| International Conference on Manufacturing Technology, Materials and Chemical Engineering | |
| The Determination of Damping Ratio Based on Cross-correlation Function Method | |
| 机械制造;材料科学;化学工业 | |
| Ma, Qian-Qian^1 ; Han, Jue^2 | |
| Highway School, Chang'An University, Xi'an, China^1 | |
| School of Civil Engineering, Shangluo University, Shangluo, China^2 | |
| 关键词: Cross-correlation function; Dynamic characteristics; Dynamic pore pressure; Dynamic stress; Equivalent linear model; Measurement and analysis; Sinusoidal dynamics; Stochastic theories; | |
| Others : https://iopscience.iop.org/article/10.1088/1757-899X/392/6/062004/pdf DOI : 10.1088/1757-899X/392/6/062004 |
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| 学科分类:材料科学(综合) | |
| 来源: IOP | |
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【 摘 要 】
For a long time, the regular, even sinusoidal dynamic load is used to study the development of pore pressure and strain in soil dynamic tests. But in fact, the dynamic loads in the study of soil dynamic characteristics are mostly irregular and even random. At present, the equivalent linear model method is used to calculate the dynamic characteristics of soil under random loads. However, this method does not take into account the plastic deformation of soil which is contrary to the actual deformation of soil. In this paper, the stochastic process theory is introduced into the measurement and analysis of soil dynamic characteristics. The dynamic stress time history, dynamic strain time history and dynamic pore pressure time history are all regarded as random processes. So a cross-correlation function method based on stochastic theory is proposed, and the feasibility of determining the damping ratio of soil by this method is verified by means of experiments and numerical analysis. The results show that the cross-correlation function method can not only solve the damping ratio of soil under periodic load, but also determine the damping ratio of soil under random load.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| The Determination of Damping Ratio Based on Cross-correlation Function Method | 324KB |
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