Study on the modeling method of three-dimensional mesoscopic numerical model of fiber-reinforced recycled aggregate concrete
Source abstract
Abstract
To better study the mesoscopic mechanical behavior of fiber-reinforced recycled aggregate concrete, an efficient modeling method of a three-dimensional mesoscopic numerical model is proposed. For mesoscopic composition, based on the traditional concrete structure of “aggregate-ITZ-mortar,” recycled aggregate is further subdivided into “aggregate core-old ITZ-old mortar” to accurately characterize its heterogeneous nature. For random placement of aggregates and fibers, corresponding random placement methods are established according to their respective geometric characteristics. This ensures uniform and random distribution of aggregates and fibers in three-dimensional space. For mesh generation and property assignment of the concrete matrix, a mapping rule based on geometric inclusion relationships is established. It efficiently assigns complex mesoscopic component properties to homogeneous background mesh elements, solving the problem of property allocation for multiphase materials. Subsequently, a corresponding numerical model is established with reference to real specimens in physical tests, and a uniaxial compression simulation is carried out. It is found that under the same load conditions as physical tests, the failure mode and stress–strain curve of the numerical model established by this method are largely consistent with the actual situation. Finally, the influence of recycled aggregate replacement ratio on the compressive performance of specimens is studied through numerical simulation. The results show that with the increase of recycled aggregate replacement ratio, the compressive strength of specimens decreases continuously. After adding 1% steel fibers to the specimens, their strength and ductility increase compared with before, but the strength still decreases with the increase of recycled aggregate replacement ratio.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Recycled Aggregate Concrete Performance · Innovative concrete reinforcement materials · Innovations in Concrete and Construction Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Beijing University of Technology
Funding
The National Natural Science Foundation of China · Beijing Nova Program
References (36)
Show source-provided references
1. 10.1016/j.rineng.2022.10033510.1016/j.rineng.2022.100335 ↗
2. 10.1016/j.conbuildmat.2024.13506410.1016/j.conbuildmat.2024.135064 ↗
3. 10.1016/j.conbuildmat.2010.11.03110.1016/j.conbuildmat.2010.11.031 ↗
4. Dai YF (2020) Study on size effect of compression performance of steel fiber reinforced recycled concrete. Hunan University.
5. 10.1016/j.compstruc.2020.10627210.1016/j.compstruc.2020.106272 ↗
6. Fédération International du Béton (2020) FIB model code for concrete structures. Berlin, Germany: Ernst & Sohn/Wiley.
7. 10.1016/j.jobe.2025.11427210.1016/j.jobe.2025.114272 ↗
8. 10.1016/j.ijsolstr.2025.11355010.1016/j.ijsolstr.2025.113550 ↗
9. 10.1016/j.jobe.2025.11296110.1016/j.jobe.2025.112961 ↗
10. 10.1007/s43452-025-01197-410.1007/s43452-025-01197-4 ↗
11. 10.1016/j.engfracmech.2025.11182710.1016/j.engfracmech.2025.111827 ↗
12. 10.1016/j.jobe.2026.11540110.1016/j.jobe.2026.115401 ↗
13. Li D, Wang ZQ, Jin L, et al. (2025) Experimental study on strain rate and size effect of cube compressive strength in steel fiber reinforced recycled aggregate concrete. Journal of Beijing University of Technology 41: 1–13.
14. 10.1016/j.cemconcomp.2023.10497910.1016/j.cemconcomp.2023.104979 ↗
15. 10.1016/j.compositesb.2021.10912410.1016/j.compositesb.2021.109124 ↗
16. Liu SH, Yan PY (2010) Mechanical properties of recycled aggregate concrete. Journal of Wuhan University of Technology (Eng. Ed.) 43(1): 85–88.
17. 10.3389/fmats.2020.56062110.3389/fmats.2020.560621 ↗
18. 10.1016/j.conbuildmat.2020.11938210.1016/j.conbuildmat.2020.119382 ↗
19. Ren ZG, Xu B, Cheng SH (2015) Two-dimensional stochastic modeling methods of hybrid fiber reinforced concrete. Journal of Wuhan University of Technology 37(4): 53–58.
20. 10.1002/eng2.1302910.1002/eng2.13029 ↗
21. 10.1016/j.conbuildmat.2019.04.03710.1016/j.conbuildmat.2019.04.037 ↗
22. 10.1061/JENMDT.EMENG-710910.1061/JENMDT.EMENG-7109 ↗
23. 10.1016/j.ijmecsci.2023.10855010.1016/j.ijmecsci.2023.108550 ↗
24. 10.1016/j.jclepro.2018.01.24710.1016/j.jclepro.2018.01.247 ↗
25. 10.1007/978-3-662-53987-310.1007/978-3-662-53987-3 ↗
26. 10.1038/s44359-025-00125-210.1038/s44359-025-00125-2 ↗
27. 10.1061/JMCEE7.MTENG-1684210.1061/JMCEE7.MTENG-16842 ↗
28. 10.1016/j.conbuildmat.2023.13049710.1016/j.conbuildmat.2023.130497 ↗
29. 10.1016/j.compstruct.2024.11875010.1016/j.compstruct.2024.118750 ↗
30. 10.1016/j.compstruct.2024.11828610.1016/j.compstruct.2024.118286 ↗
31. Ying JW, Jian YJ, Xiao JZ (2024a) Two-dimensional concrete meso-modeling research based on pixel matrix and skeleton theory. Computers and Concrete 33(6): 671–688.
32. 10.1016/j.compstruct.2025.11977110.1016/j.compstruct.2025.119771 ↗
33. 10.1016/j.conbuildmat.2024.13647910.1016/j.conbuildmat.2024.136479 ↗
34. 10.1016/j.compscitech.2017.06.01510.1016/j.compscitech.2017.06.015 ↗
35. 10.1016/j.conbuildmat.2023.13211110.1016/j.conbuildmat.2023.132111 ↗
36. 10.1016/j.compstruc.2017.07.00910.1016/j.compstruc.2017.07.009 ↗