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<b>Abstract</b>— <p>The article proposes a multiscale model based on a cellular automata approach for creating digital twins of porous hierarchical structures of sodium alginate-based aerogels. The proposed model uses a cellular automata approach to generate structures at both the meso- and macroscale levels and then combine them into a single digital multiscale structure that contains both meso- and macropores. Experimental studies of aerogel samples based on sodium alginate are carried out. Computational experiments are carried out to generate digital structures corresponding to the obtained experimental samples. A comparison of the structural characteristics of the digital and experimental samples is carried out, based on which conclusions are drawn about the correct operation of the model. The resulting digital multiscale structures can be used in the future to predict the properties of hierarchical structures, which will allow for partial replacement of natural experiments with computational ones and, consequently, reduce costs in developing new materials with specified properties.</p>

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Using a Cellular Automation Approach to Create Digital Twins of Hierarchical Porous Structures

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • I. V. Lebedev,
  • V. I. Gashenko,
  • O. V. Fedotova,
  • A. A. Abramov,
  • P. Yu. Tsygankov,
  • N. V. Menshutina

摘要

Abstract—

The article proposes a multiscale model based on a cellular automata approach for creating digital twins of porous hierarchical structures of sodium alginate-based aerogels. The proposed model uses a cellular automata approach to generate structures at both the meso- and macroscale levels and then combine them into a single digital multiscale structure that contains both meso- and macropores. Experimental studies of aerogel samples based on sodium alginate are carried out. Computational experiments are carried out to generate digital structures corresponding to the obtained experimental samples. A comparison of the structural characteristics of the digital and experimental samples is carried out, based on which conclusions are drawn about the correct operation of the model. The resulting digital multiscale structures can be used in the future to predict the properties of hierarchical structures, which will allow for partial replacement of natural experiments with computational ones and, consequently, reduce costs in developing new materials with specified properties.