Abstract
As a monitoring sensor, distributed fiber optic sensors (DFOSs) are widely applied in geotechnical engineering. However, existing researches mainly focused on the practice of DFOSs in different engineering fields, few about DFOSs data processing. Under this circumstance, this study proposed a dyadic wavelet-based DFOSs data processing method. To verify the feasibility of the proposed method, a real monitored raw DFOSs signal is tested. In addition, an embankment sliding surface detection scheme by DOFSs using the wavelet-based signal processing method is proposed. An embankment sliding surface detection test based on the finite element method is carried out. The uncertainty of soil properties is taken into account by 3D random fields together with a finite element model. The results show that the dyadic wavelet-based method can effectively avoid the interferences and accurately detect the characteristics of DFOSs data; the proposed scheme can detect the potential embankment sliding surface effectively.
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