Effect of Graphene Oxide on the Pore Structure of Cement Paste: Implications for Performance Enhancement
Source abstract
Abstract
The effect of graphene oxide (GO) nanosheets on the spatial distribution of cement paste pores has been investigated. In this study, a scheme based on the radial distribution function is developed to analyze the spatial distribution of pores in GO–cement composites. By applying the developed scheme, the addition of 0.04% GO is found to reduce the spatial inhomogeneity of pores in cement paste by around 20% at all curing ages. The test results show that the compressive strength of the cement paste sample containing GO is increased by 30–40%, indicating the negative correlation between the spatial inhomogeneity of pores and mechanical properties of GO–cement composites. Besides the spatial homogenization effect of GO on pores, pore structure refinement by GO is also found to increase the mechanical properties of cementitious materials. The findings suggest the great potential of using GO to modify cementitious materials by homogenizing the spatial distribution of pores. The spatial distribution analysis scheme presented in this study can be used for the future structure–property study of nanoengineered cementitious materials with enhanced performance.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Concrete and Cement Materials Research · Innovative concrete reinforcement materials · Composite Material Mechanics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil Engineering, Monash University, Clayton, VIC 3800, Australia
School of Civil Engineering, The University of Queensland, St Lucia, Queensland 4072, Australia
Funding
Australian Research Council
References (67)
Show source-provided references
1. 10.1016/j.compscitech.2013.02.01810.1016/j.compscitech.2013.02.018 ↗
2. 10.1016/j.cemconcomp.2018.06.00810.1016/j.cemconcomp.2018.06.008 ↗
3. 10.1016/j.compositesa.2017.05.00210.1016/j.compositesa.2017.05.002 ↗
4. 10.1021/acsanm.0c0188510.1021/acsanm.0c01885 ↗
5. 10.1016/j.cemconcomp.2015.02.00110.1016/j.cemconcomp.2015.02.001 ↗
6. 10.1016/j.compositesb.2017.01.05610.1016/j.compositesb.2017.01.056 ↗
7. 10.1016/j.conbuildmat.2015.01.08310.1016/j.conbuildmat.2015.01.083 ↗
8. 10.1016/j.cemconres.2007.03.01110.1016/j.cemconres.2007.03.011 ↗
9. 10.1016/s1872-5805(15)60194-910.1016/s1872-5805(15)60194-9 ↗
10. 10.1061/(ASCE)MT.1943-5533.000112510.1061/(ASCE)MT.1943-5533.0001125 ↗
11. 10.1016/j.conbuildmat.2017.04.05810.1016/j.conbuildmat.2017.04.058 ↗
12. 10.1016/S0008-8846(03)00225-410.1016/S0008-8846(03)00225-4 ↗
13. 10.1016/S0008-8846(00)00370-710.1016/S0008-8846(00)00370-7 ↗
14. 10.1016/0008-8846(94)90004-310.1016/0008-8846(94)90004-3 ↗
15. 10.1016/j.pmatsci.2018.01.00510.1016/j.pmatsci.2018.01.005 ↗
16. Dormieux L. · 2007 · 480
17. 10.1016/j.mechmat.2005.06.02610.1016/j.mechmat.2005.06.026 ↗
18. 10.1039/C5RA08078A10.1039/C5RA08078A ↗
19. 10.1016/j.cemconcomp.2010.04.00310.1016/j.cemconcomp.2010.04.003 ↗
20. 10.1111/j.1551-2916.2008.02834.x10.1111/j.1551-2916.2008.02834.x ↗
21. 10.1016/j.conbuildmat.2017.07.19010.1016/j.conbuildmat.2017.07.190 ↗
22. 10.1016/0008-8846(94)90003-510.1016/0008-8846(94)90003-5 ↗
23. 10.1016/S0008-8846(98)00159-810.1016/S0008-8846(98)00159-8 ↗
24. 10.1016/j.micromeso.2009.05.01610.1016/j.micromeso.2009.05.016 ↗
25. 10.1016/j.conbuildmat.2018.07.13610.1016/j.conbuildmat.2018.07.136 ↗
26. 10.1016/j.compscitech.2013.01.00710.1016/j.compscitech.2013.01.007 ↗
27. 10.1016/j.conbuildmat.2016.07.02210.1016/j.conbuildmat.2016.07.022 ↗
28. 10.1016/j.cemconcomp.2019.10348810.1016/j.cemconcomp.2019.103488 ↗
29. 10.1016/j.cemconcomp.2011.09.01310.1016/j.cemconcomp.2011.09.013 ↗
30. 10.1016/j.conbuildmat.2017.11.15410.1016/j.conbuildmat.2017.11.154 ↗
31. 10.1016/j.compositesb.2018.10.03010.1016/j.compositesb.2018.10.030 ↗
32. 10.1016/j.cemconres.2013.09.00310.1016/j.cemconres.2013.09.003 ↗
33. 10.1016/j.conbuildmat.2016.03.09010.1016/j.conbuildmat.2016.03.090 ↗
34. 10.1016/j.cemconres.2004.06.01510.1016/j.cemconres.2004.06.015 ↗
35. Ferreira, T.; Rasband, W. ImageJ User Guide; ImageJ/Fiji, 2012.
36. 10.1016/S0301-0104(00)00179-810.1016/S0301-0104(00)00179-8 ↗
37. 10.1002/qua.2491210.1002/qua.24912 ↗
38. 10.1016/j.cemconres.2004.06.03610.1016/j.cemconres.2004.06.036 ↗
39. Chandler, D. Introduction to Modern Statistical Mechanics; Oxford University Press, 1987; p 288.
40. 10.1038/218985b010.1038/218985b0 ↗
41. 10.1016/0014-4827(74)90148-710.1016/0014-4827(74)90148-7 ↗
42. 10.1038/4010510.1038/40105 ↗
43. 10.1016/S0344-0338(11)81025-310.1016/S0344-0338(11)81025-3 ↗
44. 10.4319/lom.2006.4.38210.4319/lom.2006.4.382 ↗
45. 10.1016/S1044-5803(97)00106-X10.1016/S1044-5803(97)00106-X ↗
46. 10.1016/j.matdes.2012.12.00410.1016/j.matdes.2012.12.004 ↗
47. 10.1016/0014-4827(78)90214-810.1016/0014-4827(78)90214-8 ↗
48. 10.1063/1.47065410.1063/1.470654 ↗
49. Wolberg J. · 2006
50. Lopes R. H. · 2011 · 71810.1007/978-3-642-04898-2_326 ↗
51. 10.1080/01621459.1951.1050076910.1080/01621459.1951.10500769 ↗
52. 10.1016/j.jallcom.2012.10.17110.1016/j.jallcom.2012.10.171 ↗
53. Lu Z. · Acta Mater. Compositae Sin. · 2008 · 6 · 034
54. 10.1021/ja017085410.1021/ja0170854 ↗
55. 10.1002/adma.20039001710.1002/adma.200390017 ↗
56. 10.1088/1367-2630/15/9/09500310.1088/1367-2630/15/9/095003 ↗
57. 10.1093/bioinformatics/btg33110.1093/bioinformatics/btg331 ↗
58. 10.1016/j.compscitech.2009.03.00610.1016/j.compscitech.2009.03.006 ↗
59. 10.1016/j.conbuildmat.2014.09.05410.1016/j.conbuildmat.2014.09.054 ↗
60. 10.1111/j.1151-2916.1953.tb12837.x10.1111/j.1151-2916.1953.tb12837.x ↗
61. 10.1016/0008-8846(86)90072-410.1016/0008-8846(86)90072-4 ↗
62. Taylor H. F. W. · 199710.1680/cc.25929 ↗
63. 10.1021/jp404287t10.1021/jp404287t ↗
64. 10.1021/acs.jcim.5b0045610.1021/acs.jcim.5b00456 ↗
65. 10.1103/PhysRevB.89.20511810.1103/PhysRevB.89.205118 ↗
66. 10.1016/j.conbuildmat.2019.11684310.1016/j.conbuildmat.2019.116843 ↗
67. 10.1016/j.matchar.2019.10980710.1016/j.matchar.2019.109807 ↗