基于二维渗流方程的微纳孔隙材料渗透率反演求解  

Inverse analysis on permeability of micro-nano porous materials based on two-dimensional seepage equation

作　　者：刘磊磊 夏新林[1] 侯凌霄 孙创[1] 陈学[1] LIU Leilei;XIA Xinlin;HOU Lingxiao;SUN Chuang;CHEN Xue(School of Energy Science and Engineering,Harbin Institute of Technology,Harbin 150001,Heilongjiang,China)

机构地区：[1]哈尔滨工业大学能源科学与工程学院

出　　处：《化工学报》2019年第A02期343-348,共6页CIESC Journal

基　　金：国家自然科学基金项目(51536001)

摘　　要：设计了一套测量微纳孔隙材料渗透率的瞬态实验装置,以具有微纳孔隙结构的气凝胶为研究对象,基于一维达西定律构建了瞬态渗透率测量的一维求解模型。考虑到实际渗透过程为二维,通过二维等温渗流方程,应用实验得到的瞬态数据,引入遗传算法构建二维反演辨识模型求解出材料的渗透率,并与一维模型得到的结果进行对比、分析。对所提出的反演辨识方法进行了可行性及有效性验证。结果表明,基于遗传算法反演求解二维渗流方程具有可行性,且具有较高的辨识精度,这为微纳孔隙材料渗透率的测量和反演辨识提供了一种新思路。The experimental devices are designed to measure transient permeability of micro-nano porous materials. Silica aerogel, which is a kind of micro-nano porous materials, is selected for experimental research. A one-dimensional model is built to measure transient permeability based on one-dimensional Darcy’s law. Because of the special handling of the material, one-dimensional Darcy’s law for calculating permeability will result errors due to the two-dimensional effects of gas flow during the course of the experiment. GA (genetic algorithm) is introduced to build an inverse identification model with two-dimensional isothermal seepage equation and the transient pressure data in the experiment to receive the permeability. Difference between the two models is explained reasonable. The retrieval method is viable and effective. This method offered a new way to obtain permeability of micro-nano porous materials.

关 键 词：渗透率 微纳孔隙材料 反演辨识 遗传算法 数值模拟 

分 类 号：TK123[动力工程及工程热物理—工程热物理]