Xiamen Seismic Survey Research Center

Xiamen, China

Xiamen Seismic Survey Research Center

Xiamen, China
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Li B.,Wuhan University | Wu L.,Wuhan University | Chen J.,CAS Chengdu Institute of Mountain Hazards and Environment | Peng Y.,Wuhan University | And 2 more authors.
Geotechnical and Geological Engineering | Year: 2016

In highway projects, the common destruction effects of earthquake faults include the sand seismic liquefaction, the instability and failure of slopes. Thereinto, the dynamic instability of slopes induced by earthquake faults is most commonly seen. In order to research the influences of the destruction effects of earthquake faults on the dynamic stability of highway slopes, the distribution of previous earthquakes happening in the research area is qualitatively analyzed to establish the earthquake fault model and explore the kinematic characteristics. On this basis, representative slopes–cutting slopes in seismic damage areas are selected to calculate their earthquake response using the ABAQUS finite element program. The displacement field and acceleration output from the program are used to analyze the variation in the displacement of slope top and calculate the distribution coefficient of acceleration. Then, the stress fields output by the dynamic finite element analysis (FEA) are substituted in the genetic algorithm programmed by MATLAB to obtain the time history curves of safety factor of slopes and intelligently search the critical slip surfaces. By doing so, the changing rule of safety factor with seismic acceleration is obtained, together with the range of the safety factor of the envelope diagram of critical slip surfaces. © 2016 Springer International Publishing Switzerland

Zhou C.-X.,Xiamen Seismic Survey Research Center | Zheng S.-P.,Xiamen Seismic Survey Research Center
Advances in Intelligent Systems and Computing | Year: 2013

Earthquake security evaluating is very important to forecast earthquake, and minimize earthquake damage. In this paper, we propose a novel earthquake security evaluating algorithm by cellular neural network. We introduce nonlinear weight functions based cellular neural network algorithm to evaluate earthquake security by minimizing relative mean square error of a given sample. To validate the effectiveness of our algorithm, we conduct a experiment on 20 samples by seven security evaluating factors. Experimental results show the effectiveness of the proposed algorithm. © 2013 Springer-Verlag.

Yao D.,Xiamen Seismic Survey Research Center | Zhang Y.,Xiamen Seismic Survey Research Center | Yan P.,Xiamen Seismic Survey Research Center | Li P.,Xiamen Seismic Survey Research Center | And 2 more authors.
Acta Seismologica Sinica | Year: 2016

This paper revealed the 2-D crustal velocity structure and interface morphology by inversion of the 2-D ray tracing method along the survey line HX9 conducted by onshore-offshore seismic experiment using the large volume air-gun source in Taiwan Strait, preliminary ascertaining the deep crustal structures of the sea-land transition zone between Fujian land and Taiwan Strait. The results show that there are two velocity discontinuities in the earth's crust, i.e., C and Moho interfaces. C interface, as a demarcation between the upper crust and lower crust, is a small velocity discontinuity, with the velocity rang-ing 0.08-0.16 km/s; whereas for the Moho interface at the bottom of crust, there is a large velocity difference being 1.02-1.29 km/s. The velocity above the Moho interface is 6.75-6.97 km/s, and that beneath the Moho interface is 8.00-8.07 km/s. Along the profile, the overall crustal interface morphology is less volatile. The thickness and its variation tendency in the upper crust are similar to those lower crust of continental area. However, the crustal interface has slightly tilted trends from land to sea, suggesting the characteristic of thinned continental crust. The Moho interface is about 31.6 km deep in the continental area, and gradually thins to about 27.4 km in the southeast coast of Fujian. © 2016, Acta Seismologica Sinica Press. All right reserved.

Zhang Y.-F.,Xiamen Seismic Survey Research Center | Yao D.-P.,Xiamen Seismic Survey Research Center | Xie Z.-Z.,Xiamen Seismic Survey Research Center | Xu Y.-X.,Xiamen Seismic Survey Research Center | And 2 more authors.
Yantu Lixue/Rock and Soil Mechanics | Year: 2010

The mechanism of blasting seism is complicated with numerous influencing factors. In order to find out the controlling factors of blasting seismic effect, the grey correlation theory of grey system is introduced. By conducting case analysis, the pecking order influencing blasting seismic effect is obtained; and it is pointed out that the super-deep drilling, pore network parameters are the controlling factors of the seismic effect. The most effective way for reducing the blasting seismic effect is to optimize these blasting parameters. The calculation of grey correlation analysis method is characterized by simplicity, reliable results and convenience for use; so it is of favorable value to the blasting engineering.

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