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Xiaozhou Ma

Researcher at Dalian University of Technology

Publications -  46
Citations -  690

Xiaozhou Ma is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: Geology & Breaking wave. The author has an hindex of 11, co-authored 33 publications receiving 264 citations.

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Investigation on the effects of Bragg reflection on harbor oscillations

TL;DR: In this paper, the effects of Bragg reflection on harbors have been investigated using a fully nonlinear Boussinesq model, and the influence of the number and the amplitude of sinusoidal bars on the mitigation effect of harbor resonance and on the optimal wavelength of the bars was investigated.
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Numerical investigation of harbor oscillations induced by focused transient wave groups

TL;DR: In this paper, the influence of focused wave groups on harbors has been studied using a fully nonlinear Boussinesq model, FUNWAVE 2.0, based on the Morlet wavelet transform and discrete Fourier transform techniques, and the capability of focused transient wave groups to trigger the harbor resonance phenomenon is revealed.
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Experimental study of wave–wave nonlinear interactions using the wavelet-based bicoherence

TL;DR: In this article, the wavelet-based bicoherence was used to study the nonlinear wave-wave interactions of breaking and non-breaking gravity waves propagating over a sill, and the results indicated that the degree of quadratic phase coupling increases in the shoaling region consistent with a wave profile that is pitched shoreward, relative to a vertical axis as seen in the experiments.
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Hydroelastic analysis and model tests of a single module VLFS deployed near islands and reefs

TL;DR: In this article, a direct coupled method is established on the basis of the Boussinesq equations and RANKINE source method to analyze the hydroelastic responses of floating bodies near islands and reefs.
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Cross-shore variations of wave groupiness by wavelet transform

TL;DR: In this paper, a new definition of groupiness factor (GF) based on the local wavelet energy density of the wave time series was proposed to describe the groupiness degree of waves.