The Time-Frequency Analysis for Energy Dissipation Shed-Tunnel’s Rockfall Impact Signal Based on Wavelet Theory

Abstract:

Article Preview

Shed-tunnel is one of common prevention measures along the highway. Through the wavelet theory we denoised the rockfall impact signal when the rock impact the ordinary shed-tunnel and the energy dissipation shed-tunnel. And then we evaluated the wavelet theory’s denoise effect by the signal-to-noise ratio. The calculation result indicated that the denoise effect is very good. At last, through the autocorrelation analysis and time-frequency analysis for the rockfall impact signal, it was found that the ordinary shed-tunnel’s impact signals didn’t have obvious frequency and the frequency contained many component,but the energy dissipation shed-tunnel’s impact signals had obvious frequency. So the energy dissipation shed-tunnel’s impact signals had a relatively fixed cycle and frequency. The received frequency of rockfall impact by the time-frequency analysis could provide the basis for the design of energy dissipation shed-tunnel’s natural frequency.

Info:

Periodical:

Advanced Materials Research (Volumes 243-249)

Edited by:

Chaohe Chen, Yong Huang and Guangfan Li

Pages:

5085-5088

DOI:

10.4028/www.scientific.net/AMR.243-249.5085

Citation:

L. F. Wang et al., "The Time-Frequency Analysis for Energy Dissipation Shed-Tunnel’s Rockfall Impact Signal Based on Wavelet Theory", Advanced Materials Research, Vols. 243-249, pp. 5085-5088, 2011

Online since:

May 2011

Export:

Price:

$35.00

[1] P. Budetta. Assessment of rockfall risk along roads[J]. Natural Hazards and Earth System Sciences, 2004, (4): 71-81.

DOI: 10.5194/nhess-4-71-2004

[2] I. Vilajosana, E. Suri nach, A. Abell, et al. Rockfall induced seismic signals: case study in Montserrat, Catalonia[J]. Natural Hazardsand Earth System Sciences, 2008, 8, 805-812.

DOI: 10.5194/nhess-8-805-2008

[3] B. Pichler, Ch. Hellmich, H.A. MangImpact of rocks onto gravel Design and evaluation of experiments[J]. nternational Journal of Impact Engineering, 2005, 31, 559–578.

DOI: 10.1016/j.ijimpeng.2004.01.007

[4] S. Kawahara a, T. Muro. Effects of dry density and thickness of sandy soil on impact response due to rockfall[J]. Journal of Terramechanics, 2006, 43, 329–340.

DOI: 10.1016/j.jterra.2005.05.009

[5] CHEN H K, TANG H M. Method to calculation fatigue fracture life of control fissure[J]. Applied Mathematics and Mechanics (English Edition), 2007, 28(5): 643-649.

[6] Chen Hongkai, Tang Hongmei, Ye Siqiao. Damage model of control fissure in perilous rock [J]. Applied Mathematics and Mechanics, 2006, 27(3): 967-974.

DOI: 10.1007/s10483-006-0713-y

[7] Luuk K.A. Dorren, Arie C. Seijmonsbergen. Comparison of three GIS-based models for predicting rockfall runout zones at a regional scale[J]. Geomorphology, 2003, 56, 49–64.

DOI: 10.1016/s0169-555x(03)00045-x

[8] YANG Qi-xin, GUAN Bao-shu. Test and research on calculating method of falling stone impulsive force[J]. Journal of the China railway Society, 1996, 18(1): 101-106.

[9] Wang B L, Drummond S C. A simplified approach for rockfall ground penetration and impact stress calculations[J]. Landslides, 2008, 5: 305-310.

DOI: 10.1007/s10346-008-0123-6

[10] HUANG Run-qiu, LIU Wei-hua, ZHOU Jiang-ping, et al. Rolling tests on movement characteristics of rock blocks[J]. Chinese Journal of Geotechnical Engineering, 2007, 29(9):1296-1302.

In order to see related information, you need to Login.