A Water Surface Wave-Height Radio Telemeter

A numerical model was used to simulate the propagation of internal waves (IW) along the surface layer. The results show that strong water exchange during IW propagation results in strong free surface flow and produces small but distinct free surface waves. We found a close relationship between the internal and ocean surface waves. Our intuitive reaction is that by training the relationship between the water surface wave height and the internal wave waveform, the internal wave waveform can be reversed from the water surface wave height value. This paper intends to validate our intuition. The artificial neural network (ANN) method was used to train the Fluent simulated results, and then the trained ANN model was used to predict the inner waves below by the free surface wave signal. In addition, two linear internal wave equations (I and II) were derived, one based on the Archimedes principle and the other based on the long wave and Boussinesq approximation. The prediction by equation (II) was superior to the prediction of equation (I), which is independent of depth. The predicted IW of the proposed ANN method was in good agreement with the simulated results, and the predicted quality was much better than the two linear wave formulas. The proposed simple method can help researchers infer the magnitude of IW from the free surface wave signal. In the future, the spatial distribution of IW below the sea surface might be obtained by the proposed method without costly field investigation.

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Influence of Water Surface Wave Disturbance on Wireless Optical Communication

Acta Optica Sinica ◽

10.3788/aos202141.0706005 ◽

2021 ◽

Vol 41 (7) ◽

pp. 0706005

Author(s):

李军 Li Jun ◽

罗江华 Luo Jianghua ◽

元秀华 Yuan Xiuhua

Keyword(s):

Surface Wave ◽

Optical Communication ◽

Water Surface ◽

Wave Disturbance ◽

Wireless Optical Communication ◽

Influence Of Water

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Experimental Study on 2D Motion Characteristics of Submerged Floating Tunnel in Waves

Journal of Marine Science and Engineering ◽

10.3390/jmse8020123 ◽

2020 ◽

Vol 8 (2) ◽

pp. 123 ◽

Cited By ~ 1

Author(s):

Zhiwen Yang ◽

Jinzhao Li ◽

Huaqing Zhang ◽

Chunguang Yuan ◽

Hua Yang

Keyword(s):

Wave Height ◽

Water Surface ◽

Weight Ratio ◽

Mooring Line ◽

Natural Period ◽

Main Challenge ◽

Line Angle ◽

Submerged Floating Tunnel ◽

Motion Characteristics ◽

The Stability

Submerged floating tunnel (SFT) is a new type of transportation infrastructure for crossing sea straits in relatively deeper water. Compared with the fixed tunnel, the main challenge in designing a SFT is the stability maintaining in a complex hydrodynamic environment, especially for the wave-induced dynamic load. In this study, a series of systematic experiments were conducted to investigate the 2D motion characteristics (i.e., heave, sway and roll) of the SFT exposed to regular waves. The movement of the SFT model is measured by the image processing method which is a noncontact measurement. The experimental observation of SFT motion during the process of wave and SFT interaction is described in detail, and the influence of several governing parameters is thoroughly analyzed, including the wave height and period, submergence depth, buoyancy to weight ratio (BWR), and the mooring line angle. The results show that the motion amplitudes of SFT increase with the wave height increasing. The effect of wave period is related to the natural period of the structure. The sway, heave and roll of the SFT submerged beneath the water surface are much smaller than that of the SFT on the water surface. With the increase of BWR, the motion of SFT decreases. The motion amplitude increases with mooring line angle increasing. Finally, empirical equations are proposed to estimate the motion characteristics of the SFT.

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