The mathematical model based on the Volume-Averaged/Reynolds-Averaged Navier Stokes (VARANS) equations has been adopted in recent years to generally simulate the interaction between waves and porous structures. Howeve...The mathematical model based on the Volume-Averaged/Reynolds-Averaged Navier Stokes (VARANS) equations has been adopted in recent years to generally simulate the interaction between waves and porous structures. However, it is still hard to determine the two experimental coefficients (α and β) included in VARANS equations. In the present study, VARANS equation is adopted to describe the flow inside and outside the porous structures uniformly, with applying the volume averaged k ε model to simulate the turbulence effect. A new calibration method is used to evaluate the accuracy of numerical simulation of wave motion on porous seabed with different coefficients, by taking the wave damping rate as an index. The calibration is achieved by completing a simulation matrix on two calibration cases. A region can be found in the parameter space to produce a lower error, which means that the simulation results are better consistent with the experimental results.展开更多
基金financially supported by the NSFC–Shandong Joint Fund Project(Grant No.U1706226)the National Natural Science Foundation of China(Grant No.51279027)
文摘The mathematical model based on the Volume-Averaged/Reynolds-Averaged Navier Stokes (VARANS) equations has been adopted in recent years to generally simulate the interaction between waves and porous structures. However, it is still hard to determine the two experimental coefficients (α and β) included in VARANS equations. In the present study, VARANS equation is adopted to describe the flow inside and outside the porous structures uniformly, with applying the volume averaged k ε model to simulate the turbulence effect. A new calibration method is used to evaluate the accuracy of numerical simulation of wave motion on porous seabed with different coefficients, by taking the wave damping rate as an index. The calibration is achieved by completing a simulation matrix on two calibration cases. A region can be found in the parameter space to produce a lower error, which means that the simulation results are better consistent with the experimental results.
