孤立波作用下植物带消浪效果影响因素分析

近岸植物带能有效削弱波浪作用,植物带消浪影响因素分析对布置护岸工程、维护岸线稳定有重要意义。在模型实验基础上,探究相对波高、模型相对宽度、模型相对高度和体积分数对透射系数的影响。设置波浪水槽试验,研究孤立波在不同水深、入射波高及植物排布方式等组合条件下对植物消浪效果的影响。采用遗传编程法得出各复杂度下的透射系数计算公式,并分析各参数在方程中的表现情况,发现遗传编程能定性给出参数的敏感度。相比于非线性回归拟合结果,遗传编程方法得到的函数关系更加精确。采用人工神经网络方法进一步分析与验证各影响因素对植物消浪效果的影响程度,结果表明人工神经网络得出的结果与遗传编程方法相近,体积分数对消浪效果起主导作用。

Analysis of the factors affecting the wave dissipation effect of vegetation under the action of solitary waves

The near-shore vegetation belt can effectively weaken the wave force, and the analysis of the factors affecting the wave elimination by vegetation belt is of great significance to the layout of the revetment works and the maintenance of the shoreline stability. Based on the model experiment, the effects of relative wave height, relative width of the model, relative height of the model and volume fraction on the transmission coefficient were investigated. The wave flume experiment was conducted to study the effects of solitary wave on the wave attenuation effect of vegetation under different water depths, incident wave heights and arrangement patterns. The formulas of transmission coefficient under various complexity were obtained by genetic programming method, and the performance of each parameter in the equation was analyzed. It is found that genetic programming can qualitatively give the sensitivity of parameters, which is suitable for sensitivity analysis of vegetation wave dissipation model. Compared with the result of nonlinear regression fitting, the function relationship obtained by genetic programming is more accurate. The artificial neural network method was used to further analyze and verify the influence degree of each factor on the wave elimination effect of vegetation. The results show that the artificial neural network results are similar to the genetic programming method, and the volume fraction plays a leading role in the wave elimination effect.