Accurate Sparse Recovery of Rayleigh Wave Characteristics Using Fast Analysis of Wave Speed (FAWS) Algorithm for Soft Soil Layers

作者：Chen, Zhuoshi; Jiang, Baofeng; Song, Jingjing; Wang, Wentao^*

来源：Applied Sciences-Basel, 2018, 8(7): 1204.

DOI：10.3390/app8071204

• Rayleigh wave
• surface wave
• dispersion curve
• compressive sensing
• soil

This paper presents a novel fast analysis of wave speed (FAWS) algorithm from the waveforms recorded by a random-spaced geophone array based on a compressive sensing (CS) platform. Rayleigh-type seismic surface wave testing is excited by a hammer source and conducted to develop the phase velocity characteristics of the subsoil layers in Shenyang Metro line 9. Data are filtered by a band pass filter bank to pursue the dispersive profiles of phase velocity at various frequencies. The Rayleigh-type surface-wave dispersion curve for the soil layers at each frequency is conducted by the l(1)-norm minimization algorithm of CS theory. The traditional frequency-wave number transform technique and in-site down hole observation are employed as the comparison of the proposed technique. The experimental results indicate the proposed FAWS algorithm has a good agreement with both the results of conventional even-spaced geophone array and the in-site measurements, which provides an effective and efficient way for accurate non-destructive evaluation of the surface wave dispersion curve of the soil.

• 出版日期2018-7
• 单位中国地震局; 东北大学; 中国地震局工程力学研究所