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

Leilei LIU; Xinlin XIA; Lingxiao HOU; Chuang SUN; Xue CHEN

doi:10.11949/0438-1157.20190615

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

Material science and engineering, nanotechnology | 更新时间：2020-06-24

- Inverse analysis on permeability of micro-nano porous materials based on two-dimensional seepage equation
- CIESC Journal Vol. 70, Issue S2, Pages: 343-348(2019)
- 作者机构：
  
  哈尔滨工业大学能源科学与工程学院，黑龙江哈尔滨 150001
- 作者简介：
- 基金信息：
- DOI：10.11949/0438-1157.20190615
  CLC： TK 123
- Received：02 June 2019，
  
  Revised：2019-06-27，
  
  Published：05 September 2019
- 稿件说明：
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刘磊磊, 夏新林, 侯凌霄, 孙创, 陈学. 基于二维渗流方程的微纳孔隙材料渗透率反演求解[J]. 化工学报, 2019, 70(S2): 343-348

LIU Leilei, XIA Xinlin, HOU Lingxiao, SUN Chuang, CHEN Xue. Inverse analysis on permeability of micro-nano porous materials based on two-dimensional seepage equation[J]. CIESC Journal, 2019, 70(S2): 343-348
刘磊磊, 夏新林, 侯凌霄, 孙创, 陈学. 基于二维渗流方程的微纳孔隙材料渗透率反演求解[J]. 化工学报, 2019, 70(S2): 343-348 DOI： 10.11949/0438-1157.20190615.

LIU Leilei, XIA Xinlin, HOU Lingxiao, SUN Chuang, CHEN Xue. Inverse analysis on permeability of micro-nano porous materials based on two-dimensional seepage equation[J]. CIESC Journal, 2019, 70(S2): 343-348 DOI： 10.11949/0438-1157.20190615.

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。

Abstract

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.

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references

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