Experimental and numerical studies on the chloride diffusion coefficient of calcium silicate hydrate gel
Source abstract
Abstract
The chloride diffusivity of calcium silicate hydrate (C-S-H), as the main hydration product of cement paste, plays an important role for the durability of concrete structures, especially for low w/c ratio ones. In this paper, in order to measure the chloride diffusion coefficient of C-S-H, a diffusion path conversion method is proposed to convert the primary diffusion path of ions from capillary pores to gel pores. By combining diffusion path conversion method with steady-state migration test, the diffusion coefficients of C-S-H are obtained. Based on 3D nanostructure, which is generated by a hybrid scheme of Grand Canonical Monte Carlo and Molecular Dynamics, the chloride diffusion coefficient of C-S-H is predicted by a 3D diffusive lattice modelling. Results from the experiments and simulation are compared with the data in the literature. Our work contributes to the understanding of C-S-H diffusivity and is of great importance for predicting the long-term durability of concrete structure.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Concrete and Cement Materials Research · Grouting, Rheology, and Soil Mechanics · Concrete Properties and Behavior
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Civil and Transportation Engineering, Hohai University, Nanjing, China
Jiangsu Key Laboratory of Construction Materials, School of Materials Science and Engineering, Southeast University, Nanjing, China
State Key Laboratory of High Performance Civil Engineering Materials, Nanjing, China
Funding
National Natural Science Foundation of China · Jiangsu Provincial Department of Science and Technology Innovation Support Program
References (59)
Show source-provided references
1. 10.1016/j.cemconcomp.2022.10455710.1016/j.cemconcomp.2022.104557 ↗
2. 10.1016/j.conbuildmat.2017.08.12810.1016/j.conbuildmat.2017.08.128 ↗
3. 10.1016/j.cemconres.2015.05.00610.1016/j.cemconres.2015.05.006 ↗
4. 10.1016/j.cemconres.2006.03.00710.1016/j.cemconres.2006.03.007 ↗
5. 10.1016/0950-0618(94)00019-010.1016/0950-0618(94)00019-0 ↗
6. 10.1016/j.commatsci.2008.11.01810.1016/j.commatsci.2008.11.018 ↗
7. 10.1007/BF0111792110.1007/BF01117921 ↗
8. 10.1617/s11527-012-9903-510.1617/s11527-012-9903-5 ↗
9. 10.1016/j.cemconres.2006.06.00410.1016/j.cemconres.2006.06.004 ↗
10. 10.1016/j.conbuildmat.2014.08.03610.1016/j.conbuildmat.2014.08.036 ↗
11. Nordtest NT BUILD 355. Chloride diffusion coefficient from migration cell experiments. Finland: NORDTEST; 1997.
12. 10.1016/S0008-8846(01)00472-010.1016/S0008-8846(01)00472-0 ↗
13. 10.1016/S0008-8846(97)00042-210.1016/S0008-8846(97)00042-2 ↗
14. 10.1088/1757-899X/490/2/02205010.1088/1757-899X/490/2/022050 ↗
15. 10.1016/j.conbuildmat.2021.12298310.1016/j.conbuildmat.2021.122983 ↗
16. 10.1073/pnas.090218010610.1073/pnas.0902180106 ↗
17. 10.1016/j.mechmat.2011.05.00410.1016/j.mechmat.2011.05.004 ↗
18. 10.1103/PhysRevLett.109.15550310.1103/PhysRevLett.109.155503 ↗
19. 10.1073/pnas.152048711310.1073/pnas.1520487113 ↗
20. 10.1111/jace.1675010.1111/jace.16750 ↗
21. 10.1016/j.conbuildmat.2012.10.00210.1016/j.conbuildmat.2012.10.002 ↗
22. 10.1016/j.compstruc.2014.07.02210.1016/j.compstruc.2014.07.022 ↗
23. 10.1016/j.conbuildmat.2020.11873610.1016/j.conbuildmat.2020.118736 ↗
24. 10.1016/j.conbuildmat.2011.12.06110.1016/j.conbuildmat.2011.12.061 ↗
25. 10.1016/j.conbuildmat.2016.09.06610.1016/j.conbuildmat.2016.09.066 ↗
26. 10.1016/j.compstruc.2016.10.00510.1016/j.compstruc.2016.10.005 ↗
27. Qian Z. Multiscale modeling of fracture process in cementitious materials [PhD thesis]. Delft: Delft University of Technology; 2012.
28. 10.1039/c3sm51815a10.1039/c3sm51815a ↗
29. 10.1021/jp310296410.1021/jp3102964 ↗
30. 10.1016/j.cemconres.2019.05.00210.1016/j.cemconres.2019.05.002 ↗
31. 10.1016/j.cemconres.2016.04.00610.1016/j.cemconres.2016.04.006 ↗
32. 10.1016/j.cemconres.2023.10723710.1016/j.cemconres.2023.107237 ↗
33. 10.1016/j.ijengsci.2019.10319610.1016/j.ijengsci.2019.103196 ↗
34. 10.1016/j.cemconres.2008.06.00310.1016/j.cemconres.2008.06.003 ↗
35. 10.1016/j.cemconcomp.2018.11.00810.1016/j.cemconcomp.2018.11.008 ↗
36. 10.1016/S0008-8846(02)00836-010.1016/S0008-8846(02)00836-0 ↗
37. Shewchuk J. An introduction to the conjugate gradient method without the agonizing pain. Pittsburgh: Carnegie Mellon University; 1994.
38. 10.1016/0008-8846(81)90111-310.1016/0008-8846(81)90111-3 ↗
39. 10.1016/j.conbuildmat.2018.10.07010.1016/j.conbuildmat.2018.10.070 ↗
40. 10.1016/0008-8846(95)00135-Y10.1016/0008-8846(95)00135-Y ↗
41. 10.1016/S0008-8846(01)00469-010.1016/S0008-8846(01)00469-0 ↗
42. 10.1680/cc.2592910.1680/cc.25929 ↗
43. 10.1016/j.cemconres.2017.02.00810.1016/j.cemconres.2017.02.008 ↗
44. 10.1504/IJMSI.2009.02860810.1504/IJMSI.2009.028608 ↗
45. 10.1201/b1711810.1201/b17118 ↗
46. GB/T 176-2017. Methods for chemical analysis of cement. Beijing: China Standards Press, 2017.
47. 10.1016/j.cemconres.2005.07.00710.1016/j.cemconres.2005.07.007 ↗
48. 10.1016/j.cemconres.2006.03.02110.1016/j.cemconres.2006.03.021 ↗
49. 10.1016/j.cemconcomp.2019.10334210.1016/j.cemconcomp.2019.103342 ↗
50. 10.1016/j.conbuildmat.2014.10.00910.1016/j.conbuildmat.2014.10.009 ↗
51. 10.1111/jace.1698210.1111/jace.16982 ↗
52. 10.1016/j.cemconres.2007.11.00210.1016/j.cemconres.2007.11.002 ↗
53. 10.1016/j.conbuildmat.2012.06.07510.1016/j.conbuildmat.2012.06.075 ↗
54. 10.1016/B978-008044100-9/50111-X10.1016/B978-008044100-9/50111-X ↗
55. 10.1016/j.cemconres.2018.04.01510.1016/j.cemconres.2018.04.015 ↗
56. 10.1016/j.cemconres.2015.09.01710.1016/j.cemconres.2015.09.017 ↗
57. 10.5703/128828431612910.5703/1288284316129 ↗
58. 10.1016/j.cemconres.2004.04.00710.1016/j.cemconres.2004.04.007 ↗
59. 10.1016/j.cemconres.2019.10579310.1016/j.cemconres.2019.105793 ↗