首页|基于随机森林预测的矩形消力井体型

基于随机森林预测的矩形消力井体型

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泄水建筑物出口无法正对河道,地形条件难以满足传统底流消能的池长要求时,增加池深与池宽形成矩形消力井是一种可行的选择.基于水工模型试验数据,通过随机森林算法底板动水压强预测模型,研究入射水流动能变化条件下的矩形消力井体型.研究结果表明:预测模型可以得到矩形消力井几何边界重要程度,从大到小依次为井深、井长、井宽;进而给出了不同傅汝德数入射水流适宜井宽条件下,底板动水压强能够满足消能要求的井深、井长组合关系;在分析入射水流动能(傅汝德数)所对应的多组消能水体容积基础上,得出了满足消能效果的最小消能水体容积和边界取值.
Rectangular Dissipation Well Shape Based on Random Forest Prediction
When the outlet of the spillway building cannot face the river and the topographical conditions are difficult to meet the pool length requirement of traditional bottom flow dissipation,increasing the pool depth and width to form a rectangular dissipation well is a feasible option.The shape of the rectangular dissipation well under varying incident water kinetic energy conditions was studied using a random forest algorithm bottom plate dynamic water pressure prediction model based on hydraulic modelling test data.The results show that the prediction model provides insights into the importance of the geometric boundaries of the rectangular dissipation well,ranking them in descending order as well depth,well length,and well width.Appropriate combinations of well depth and well length are provided for different Fourier number incident water flows,taking into account the optimal well width conditions.This ensures that the dynamic water pressure on the bottom plate meets the energy dissipation requirements.By analysing several groups of energy dissipation water volumes corresponding to the incident water kinetic energies(Fourier numbers),the study determines the minimum water volume required to achieve effective energy dissipation and identifies the optimum boundary values to achieve the energy dissipation effect.

minimum volumeshape studyboundary importancerandom forest predictionrectangular dissipation well

邱勇、黄梓涵、和云秋、普进兵、韩玉銮

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云南农业大学水利学院,昆明 650201

天津大学建筑工程学院,天津 300350

最小容积 体型研究 边界重要性 随机森林预测 矩形消力井

国家级大学生创新创业训练计划云南省"兴滇英才支持计划"

201910676014202201788

2024

科学技术与工程
中国技术经济学会

科学技术与工程

CSTPCD北大核心
影响因子:0.338
ISSN:1671-1815
年,卷(期):2024.24(13)
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