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基于材料基因组方法的沥青混合料基因特性综述及展望

Translated title of the contribution: Review and Prospect of Genetic Characteristics of Asphalt Mixture Based on Material Genome Method
  • School of Transportation Science and Engineering, Harbin Institute of Technology

Research output: Contribution to journalReview articlepeer-review

Abstract

The data-driven material genomic method has received increasing interest in the research and development of materials for the future. In particular, it has important guiding significance for asphalt mixtures with complex material compositions, significant structural randomness, and uneven material distribution. In order to promote the application of genomic methods to asphalt mixtures, this paper reviews the research progress of the main genetic characteristics that affect the performance of asphalt mixtures. First, the applications of the material genomic method in material engineering are summarized. Then, the basic material genomic characteristics of asphalt mixtures is introduced, including the asphalt component, asphalt microstructure, aggregate mineral composition, and aggregate morphology, and the relationship between the genomic characteristics and material performance is analyzed. Then, this paper introduces research on the microstructure of asphalt mixtures, including the relationship between void distribution, aggregate distribution, and aggregate contact and summarizes the research methods and the relationship between the characteristic genes and the performance of asphalt mixtures. Finally, a representative material genome system for characterizing the performance of asphalt mixture, genomic database, shared platform, and data mining methods are prospected.

Translated title of the contributionReview and Prospect of Genetic Characteristics of Asphalt Mixture Based on Material Genome Method
Original languageChinese (Traditional)
Pages (from-to)76-90
Number of pages15
JournalZhongguo Gonglu Xuebao/China Journal of Highway and Transport
Volume33
Issue number10
DOIs
StatePublished - Oct 2020

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