Landslide process analysis method, process numerical reconstruction method and application
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A process analysis and numerical simulation technology, applied in the field of signal analysis, can solve the problems of fuzzy pre-processing of signals, high frequency of occurrence, too generality, etc., to achieve obvious social benefits, increase the richness, and improve the effect of utilization efficiency.
Active Publication Date: 2021-04-02
TSINGHUA UNIV +3
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However, there are three obvious shortcomings in the implementation of this type of technology: First, as mentioned above, landslide disasters are both independent disasters and derivative disasters, so the frequency of occurrence is high and the location is uncertain
The main defects of this method are as follows: First, the landslide event is finally divided into "stationary-acceleration-deceleration-integral re-acceleration after front-end anti-tilt-stationary", which is too general compared with the actual landslide process and cannot be used. The purpose of numerical simulation to restore the disaster process; second, this method inverts the low-frequency landslide seismic signal to obtain the force-time function of the landslide source area, and performs classical mechanical analysis on this function to obtain the motion characteristics of the landslide body, but the signal is not affected during the inversion process. The previous processing is fuzzy, and there are errors in the force-time function completed on this basis; third, the method mainly focuses on the data of the slope of the slide bed, the direction of the landslide, and the displacement of the slide body obtained from seismic signal inversion, combined with the force-time function The final result of time function analysis, time-frequency analysis and on-site monitoring data is only to roughly restore the landslide process, and it is impossible to further introduce numerical models to complete the numerical reconstruction of the landslide process, so it cannot provide the possibility for more accurate landslide disaster research
At the same time, the article does not give the specific process of dividing the stages, and it cannot belong to the technical solution claimed in the patent.
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Embodiment 1
[0049]Such asFigure 1 ~ 5 As shown, a landslide disaster process is completed by the method of the invention.
[0050]figure 1 It is a schematic diagram of the landslide process analysis method. Medium and low frequency analysis in 0Hz ~ 5Hz.
[0051]1, original landslide seismic signal
[0052]In 2017, landslide events occurred in Sichuan, and the broadband seismographs of Sichuan Earthquake Network Earthquake Monitoring Station were monitored to the landslide event. The original landslide seismic signal of the second landslide event is extracted from the original seismic waveform signal recorded from the broadband seismometer (record 0.001Hz ~ 500 Hz frequency range). The original landslide seismic signal is about 150s, and the waveform diagram can be seen twice more pronounced amplitude peaks, and the second peak value is larger than the first peak.figure 2 It is the original landslide seismic signal.
[0053]2, extract signal a
[0054]The original landslide seismic signal is decomposed to obt...
Embodiment 2
[0074]Such asFigure 6 ~ 10 As shown, on the basis of the first example, numerical simulation reconstruction of this landslide disaster process is continued.
[0075]Figure 6 It is a schematic diagram of a landslide process numerical analog reconstruction method.
[0076]1. Calculate the power spectral density PSD of the signal B
[0077]For each stage of the landslide process, the signal power spectral density PSD of the signal B is calculated to obtain energy distribution at each stage.
[0078]In this example, the transition phase signal (28S ~ 68S) is analyzed as an example, and the frequency value of the landslide process transition phase signal in the signal B is substituted to the formula 1, and the transition phase is calculated from the power spectral density PSD characterization. Energy distribution.Figure 7 It is a transition phase power spectral density PSD diagram.
[0079]
[0080]In the formula, F represents the frequency, T indicates the time.
[0081]2, numerical simulation
[0082]PFC2D 5....
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Abstract
The invention discloses a landslide process analysis method, a process numerical reconstruction method and application. According to the landslide disaster process analysis method, an IMF main component signal is extracted on the basis of an original landslide ground motion signal, time-frequency spectrum transformation is carried out, and then five stages of a landslide process are divided according to frequency energy characteristics of different time periods in the landslide ground motion signal. The method extracts the transition stage of the landslide process for the first time. The invention provides application of a landslide disaster process analysis method in landslide disaster analysis, landslide disaster emergency response scheme design and landslide event mathematical modeling.The invention further provides a numerical simulation reconstruction method for the landslide process, and numerical simulation reconstruction of the landslide process is carried out on the basis ofenergy data evolution of the landslide ground motion signals. The invention further discloses application of the reconstruction method in landslide disaster analysis and landslide disaster emergency response scheme design. According to the method, the basic data richness of landslide disasters and the effectiveness of disaster prevention and control emergency schemes are improved, and the invention has remarkable social benefits.
Description
Technical field[0001]The present invention relates to a signal analysis technique, and more particularly to a technique of analyzing the landslide disaster process for analyzing and disaster - oriented techniques and its application, belonging to signal analysis processing technology, geological disaster monitoring technology.Background technique[0002]The earthquake observation network throughout the world is monitored daily to obtain massive seismic signals. The essence of seismic signal is the seismic waveform information generated by various natural and non-natural earthquake events, including information generated by various geological disasters. Ground dynamic signal public resources, and have initially realized sharing of global seismic information. Thus, various types of technological disaster prevention and control can be implemented using ground vibration signals, and the monitoring costs of geological disasters can be saved, especially for large regions.[0003]Landslide is ...
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