Computers and Concrete

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Hierarchical multiscale modeling for predicting the physicochemical characteristics of construction materials: A review

  • Jin-Ho Bae (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology) ;
  • Taegeon Kil (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology) ;
  • Giljae Cho (Khanstone P&D Team, Hyundai L&C) ;
  • Jeong Gook Jang (Division of Architecture and Urban Design, Urban Science Institute, Incheon National University) ;
  • Beomjoo Yang (School of Civil Engineering, Chungbuk National University)
  • Received : 2023.06.01
  • Accepted : 2024.01.04
  • Published : 2024.03.25
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Abstract

The growing demands for sustainable and high-performance construction materials necessitate a deep understanding of their physicochemical properties by that of these heterogeneities. This paper presents a comprehensive review of the state-of-the-art hierarchical multiscale modeling approach aimed at predicting the intricate physicochemical characteristics of construction materials. Emphasizing the heterogeneity inherent in these materials, the review briefly introduces single-scale analyses, including the ab initio method, molecular dynamics, and micromechanics, through a scale-bridging technique. Herein, the limitations of these models are also overviewed by that of effectively scale-bridging methods of length or time scales. The hierarchical multiscale model demonstrates these physicochemical properties considering chemical reactions, material defects from nano to macro scale, microscopic properties, and their influence on macroscopic events. Thereby, hierarchical multiscale modeling can facilitate the efficient design and development of next-generation construction.

Keywords

Acknowledgement

This research was supported by Chungbuk National University KNUDP program (2022).

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