复合材料
材料科学
分子动力学
结构工程
工程类
计算化学
化学
作者
Jie Cao,Chao Wang,Jaime Gonzalez‐Libreros,Tongfang Wang,Yongming Tu,Lennart Elfgren,Gabriel Sas
标识
DOI:10.1016/j.cscm.2024.e04153
摘要
This paper investigates the current landscape of multiscale studies in concrete composites incorporating molecular dynamics (MD) methods. Through a thorough literature analysis, it was determined that finite element, discrete element, homogenization, microphysical characterization, and machine learning methods are better suited for integration with MD in multiscale studies of concrete composites. The paper delves into MD's application characteristics and the selection of force fields in multiscale studies and provides a summary of the combined applications between MD and various methods. Challenges identified include the optimization of MD simulations and the appropriate selection of combined methods. The conclusions underscore the growing recognition of MD's significance, advocating for rational multi-method integration in multiscale approaches to effectively advance research on concrete composites. • Assessing multiscale studies in concrete composites. • Identifying compatible methods for MD simulation. • Exploring MD's multiscale application characteristics.
科研通智能强力驱动
Strongly Powered by AbleSci AI