Akademik Veri Yönetim Sistemi
ICAME 2021, Balıkesir, Türkiye, 1 - 03 Eylül 2021, sa.8, ss.1-6
Structural health monitoring of maritime structures is a rapidly developing research area. One of the research directions followed within this context is the development of efficient mathematical data and signal processing techniques and their possible usage methods for the health monitoring of coastal and ocean structures. In this paper, we investigate the possible usage of one of such methods, namely the compressive sensing technique (CS), for the measurement and reconstruction of the vibration data of the coastal and ocean structures. CS algorithm outperforms the classical sampling theory by using far fewer measurements for the reconstruction of signals having sparse representation in different orthogonal domains. The aforementioned maritime structures are continuously subjected to harmonic loads in the marine environment, as well as impact loads such as shiploads, earthquakes. Thus, CS algorithm can be used for the reconstruction of vibration velocities, acceleration, and similar parameters under such loadings, which have sparse representations in Fourier or temporal/spatial domains. Implementing a circular cylinder and hollow elastic circular cylinder model for the modeling of the pile foundations, we show that CS can be effectively used for the monitoring and reconstruction of such vibration parameters under cyclic harmonic loads and impact loads including shiploads and earthquakes. We discuss our findings and their possible applicability and usage.