Mechanical property and analysis of asphalt components based on molecular dynamics simulation
The asphalt-aggregate interface interaction plays a significant role in the overall performances of asphalt mixture. In order to analyze the chemical constitution of asphalt effects on the asphalt-aggregate interaction, the average structure C64H52S2 is selected to represent the asphalt, and the col...
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sg-ntu-dr.10356-864802023-07-14T15:45:44Z Mechanical property and analysis of asphalt components based on molecular dynamics simulation Li, Rui Guo, Qiqi Du, Hui Pei, Jianzhong School of Materials Science & Engineering Molecular Dynamics Simulation Asphalt-aggregate Interaction The asphalt-aggregate interface interaction plays a significant role in the overall performances of asphalt mixture. In order to analyze the chemical constitution of asphalt effects on the asphalt-aggregate interaction, the average structure C64H52S2 is selected to represent the asphalt, and the colloid, saturated phenol, and asphaltene are selected to represent the major constitutions in asphalt. The molecular models are established for the three compositions, respectively, and the Molecular Dynamics (MD) simulation was conducted for the three kinds of asphaltene-aggregate system at different presses. Comparing the value of Young modulus of these three polymers, the maximum modulus value of asphaltene was 2.80 GPa, the modulus value of colloid was secondary, and the minimum modulus of saturated phenol was 0.52 GPa. This result corresponds to conventional understanding. Published version 2018-07-27T04:47:34Z 2019-12-06T16:22:57Z 2018-07-27T04:47:34Z 2019-12-06T16:22:57Z 2017 Journal Article Li, R., Guo, Q., Du, H., & Pei, J. (2017). Mechanical property and analysis of asphalt components based on molecular dynamics simulation. Journal of Chemistry, 2017, 1531632-. 2090-9063 https://hdl.handle.net/10356/86480 http://hdl.handle.net/10220/45307 10.1155/2017/1531632 en Journal of Chemistry © 2017 Rui Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 9 p. application/pdf |
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Molecular Dynamics Simulation Asphalt-aggregate Interaction Li, Rui Guo, Qiqi Du, Hui Pei, Jianzhong Mechanical property and analysis of asphalt components based on molecular dynamics simulation |
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The asphalt-aggregate interface interaction plays a significant role in the overall performances of asphalt mixture. In order to analyze the chemical constitution of asphalt effects on the asphalt-aggregate interaction, the average structure C64H52S2 is selected to represent the asphalt, and the colloid, saturated phenol, and asphaltene are selected to represent the major constitutions in asphalt. The molecular models are established for the three compositions, respectively, and the Molecular Dynamics (MD) simulation was conducted for the three kinds of asphaltene-aggregate system at different presses. Comparing the value of Young modulus of these three polymers, the maximum modulus value of asphaltene was 2.80 GPa, the modulus value of colloid was secondary, and the minimum modulus of saturated phenol was 0.52 GPa. This result corresponds to conventional understanding. |
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School of Materials Science & Engineering |
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School of Materials Science & Engineering Li, Rui Guo, Qiqi Du, Hui Pei, Jianzhong |
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Article |
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Li, Rui Guo, Qiqi Du, Hui Pei, Jianzhong |
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Li, Rui |
title |
Mechanical property and analysis of asphalt components based on molecular dynamics simulation |
title_short |
Mechanical property and analysis of asphalt components based on molecular dynamics simulation |
title_full |
Mechanical property and analysis of asphalt components based on molecular dynamics simulation |
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Mechanical property and analysis of asphalt components based on molecular dynamics simulation |
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Mechanical property and analysis of asphalt components based on molecular dynamics simulation |
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mechanical property and analysis of asphalt components based on molecular dynamics simulation |
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2018 |
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https://hdl.handle.net/10356/86480 http://hdl.handle.net/10220/45307 |
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1772828843409670144 |