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A numerical model for wave propagation in a harbour is verified by use of physical models.The extended time-dependent mild slope equation is employed as the governing equation,and the model is solved by use of ADI method containing the relaxation factor.Firstly,the reflection coefficient of waves in front of rubble-mound breakwaters under oblique incident waves is determined through physical model tests,and it is regarded as the basis for simulating partial reflection boundaries of the numerical model.Then model tests on refraction,diffraction and reflection of waves in a harbour are performed to measure wave height distribution.Comparative results between physical and numerical model tests show that the present numerical model can satisfactorily simulate the propagation of regular and irregular waves in a harbour with complex topography and boundary conditions.
Synthetic Aperture Radar(SAR)has become one of the important tools for shallow water bathymetry surveys.This has significant economic efficiency compared with the traditional bathymetry surveys.Numerical models have been developed to simulate shallow water bathymetry SAR images.Inversion of these models makes it possible to assess the water depths from SAR images.In this paper,these numerical models of SAR technique are reviewed,and examples are illustrated including in the coastal areas of China.Some issues about SAR technique available and the research orientation in future are also discussed.
An engineering application tool for prediction of the static equilibrium bay(Beach Mod)is established to describe two bay shape formulas by use of the programming software "MATLAB" with a graphic user interface(GUI).The tool is user-friendly for engineering students for the design of beach shapes.This tool was tested through application on three types of beaches in Taiwan and Australia.By implementing the concept of Headland Control,the Beach Mod program allows users to draw a structure and create an artificial headland.The results indicate that Beach Mod can efficiently forecast beach changes as well as MEPBAY,a competing software package,while boasting a better user interface.
Spar technology has been applied to the deep-sea oil and gas exploitation for several years.From the first generation of classic spar,the spar platform has developed into the second generation of truss spar and the latest cell spar.Owing to its favorable adaptability to wide range of water depth and benign motion performances,spar has aroused quite a lot of interests from oil companies,universities and research institutes.In the present paper,a new cell-truss spar concept,put forward by the State Key Laboratory of Ocean Engineering(SKLOE)at Shanghai Jiao Tong University,is studied both numerically and experimentally.The numerical simulation was conducted by means of nonlinear time-domain fully coupled analysis,and its results were compared to the experimental data.Whereafter,detailed analysis was carried out to obtain the global performances of the new spar concept.Proposals for the improvement of numerical calculation and experimental technique were tabled meanwhile.
The natural gas hydrate resource is tremendous.How to utilize the gas from hydrates safely is researchers' concern.In this paper,a one-dimensional model is developed to simulate the hydrate dissociation by depressurization in hydrate-bearing porous medium.This model can be used to explain the effects of the flow of multiphase fluids,the endothermic process of hydrate dissociation,the variation of permeability,the convection and conduction on the hydrate dissociation.Numerical results show that the hydrate dissociation can be divided into three stages:a rapid dissociation stage mainly governed by hydrate dissociation kinetics after an initially slow dissociation stage governed mainly by flow,and finally a slow dissociation stage.Moreover,a numerical approach of sensitivity analysis of physical parameters is proposed,with which the quantitative effect of all the parameters on hydrate dissociation can be evaluated conveniently.
The longitudinal dispersion of solute in open channel flow with short period progressive waves is investigated. The waves induce second order drift velocity in the direction of propagation and enhance the mixing process in concurrent direction. The 1-D wave-period-averaged dispersion equation is derived and an expression for the wave-current induced longitudinal dispersion coefficient (WCLDC) is proposed based on Fischer's expression (1979) for dispersion in unidirectional flow. The result shows that the effect of waves on dispersion is mainly due to the cross-sectional variation of the drift velocity. Furthermore, to obtain a more practical expression of the WCLDC, the longitudinal dispersion coefficient due to Seo and Cheong (1998) is modified to incluee the effect of drift velocity. Laboratory experiments have been conducted to verify the proposed expression. The experimental results, together with dimensional analysis, show that the wave effect can be reflected by the ratio between the wave amplitude and wave period. A comparative study between the cases with and without waves demonstrates that the magnitude of the longitudinal dispersion coefficient is increased under the presence of waves.
In multiresolution analysis(MRA)by wavelet function Daubechies(db),we decompose the signal to two parts,the low and high frequency content.The high-frequency content of the data is removed first and a new "de-noise" signal is reconstructed by using inverse wavelet transform.The wavelet spectrum and harmonic analysis were used to analyze the characteristics of tidal data before constructing the input and output structure of ANN model.That is,the concept of tidal constituent phase-lags was introduced and the new "de-noise" signal was used as the input data set of ANN and the forecasting accuracy of ANN model is significantly improved.
In this study,an advanced probabilistic neural network(APNN)method is proposed to reflect the global probability density function(PDF)by summing up the heterogeneous local PDF which is automatically determined in the individual standard deviation of variables.The APNN is applied to predict the stability number of armor blocks of breakwaters using the experimental data of van der Meer,and the estimated results of the APNN are compared with those of an empirical formula and a previous artificial neural network(ANN)model.The APNN shows better results in predicting the stability number of armor blocks of breakwater and it provided the promising probabilistic viewpoints by using the individual standard deviation in a variable.
Experiments on silt incipient motion under wave action were carried out.Under wave action,for different wave periods,water depths and bulk densities of silt,the shear stress or height of waves for incipient motion was determined,and a relation between the shear stress and bulk density of silt was established.Results indicate that the critical shear stress depends on the structure of the silt itself,related to the tightness between the grains(or bulk density).Exterior condition is only an external cause of silt incipient motion,and the critical shear stress for the incipient motion is the token of exterior condition.
The Tianjin Port is the largest man-made port in China.Since the navigation channel of the Tianjin Port is constructed by dredging,a very important problem,as many people concerned,is the submarine slope stability.As the environment on land is different from that in submarine,it is necessary to evaluate the influence of the environmental loading,such as wave and tide,on the stability of navigation channel slope.In the present study,based on the observed results,the characteristics of the navigation channel slope are summarized,and the causes of creating the special slope shape are analyzed.The roles of waves and tides are evaluated,and failure mechanics are discussed to helq us predict what will happen in the future.
How to evaluate time-domain Green function and its gradients efficiently is the key problem to analyze ship hydrodynamics in time domain.Based on the Bessel function,an Ordinary Differential Equation(ODE)was derived for time-domain Green function and its gradients in this paper.A new efficient calculation method based on solving ODE is proposed.It has been demonstrated by the numerical calculation that this method can improve the precision of the time-domain Green function.Numerical research indicates that it is efficient to solve the hydrodynamic problems.
ScholarOne Manuscripts Log In
- Volume 34
- Issue 4
- August 2020
- Superintended by:
CHINA ASSOCIATION FOR SCIENCE AND TECHNOLOGY
- Sponsored by:
Chinese Ocean Engineering Society （COES）
- Edited by:
Nanjing Hydraulic Research Institute
Adaptive Predictive Inverse Control of Offshore Jacket Platform Based on Rough Neural Network
Numerical Simulation of Water Exchange Characteristics of the Jiaozhou Bay Based on A Three-Dimensional Lagrangian Model
A Global Reliability Assessment Method on Aging Offshore Platforms with Corrosion and Cracks