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基于多目标遗传算法反求土壤的扩散率与导水率
Diffusivity and Hydraulic Conductivity Using Reverse Evaluation Based on Multi-object Optimization Genetic Algorithm
【摘要】 土壤水热耦合运移的数学模型是研究土壤中水分迁移及其热量传输的重要依据,而准确地确定土壤的扩散率与导水率是进行研究的重要前提。为此,在水热耦合运移方程的理论基础上,以温度误差、含水率误差最小为目标建立数学模型;在不同初始含水率的土柱冻结试验条件下,利用多目标遗传算法优化反求土壤的扩散率与导水率,通过验证表明计算结果具有较好的精度。
【Abstract】 The model of coupled heat and water transport is an important basis on the study of heat and water transport,and it is important to confirm diffusivity and hydraulic conductivity in soil.Based on the mathematical equation for solving the problem of coupled water and heat transport during soil freezing,the target was established with the temperature error and water error minimal.Under different experiment condition,diffusivity and hydraulic conductivity was calculated by multi-object optimization genetic algorithm,the result has high accuracy.
【Key words】 genetic algorithms; soil; reverse evaluation; computer simulation; MATLAB;
- 【文献出处】 农机化研究 ,Journal of Agricultural Mechanization Research , 编辑部邮箱 ,2009年07期
- 【分类号】S152.72
- 【被引频次】4
- 【下载频次】151