Fatigue performance of graphene oxide modified asphalt mixture: experimental investigation and response surface methodology
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作者:
Adnan, Abbas Mukhtar
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Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou, Peoples R China
Zhejiang Prov Engn Res Ctr Digital & Smart Mainte, Hangzhou, Peoples R ChinaZhejiang Univ, Coll Civil Engn & Architecture, Hangzhou, Peoples R China
Adnan, Abbas Mukhtar
[1
,2
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Lu, Chaofeng
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Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou, Peoples R ChinaZhejiang Univ, Coll Civil Engn & Architecture, Hangzhou, Peoples R China
Lu, Chaofeng
[1
]
Luo, Xue
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Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou, Peoples R ChinaZhejiang Univ, Coll Civil Engn & Architecture, Hangzhou, Peoples R China
Luo, Xue
[1
]
Wang, Jinchang
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Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou, Peoples R China
Zhejiang Prov Engn Res Ctr Digital & Smart Mainte, Hangzhou, Peoples R ChinaZhejiang Univ, Coll Civil Engn & Architecture, Hangzhou, Peoples R China
Wang, Jinchang
[1
,2
]
机构:
[1] Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou, Peoples R China
[2] Zhejiang Prov Engn Res Ctr Digital & Smart Mainte, Hangzhou, Peoples R China
Fatigue in asphalt pavements is a major deterioration caused by repeated traffic loading. The objectives of this research were to investigate the fatigue performance of graphene oxide (GO) modified asphalt mixtures and evaluate the influence of temperature and stress level on the fatigue life of GO asphalt mixtures using response surface methodology (RSM). For this purpose, an indirect tensile fatigue test was conducted. The results showed that the application of GO increased the fatigue life of the asphalt mixture. The RSM analysis proposed a quadratic model with a high determination coefficient (R-2 = 0.9977) to fit the experimental data. The ANOVA test showed that temperature, stress level, and GO percentage had a pronounced effect on the fatigue performance of the mixture. Furthermore, multi-objective optimization was used to achieve an optimized mixture proportion and verify the model's reliability by conducting validation experiments. The predicted and actual results were found to be in excellent agreement, with a variation of only 2.12%, suggesting that the model can accurately predict the fatigue life of the GO-modified asphalt mixture.
机构:
Wuhan Univ Technol, State Key Lab Silicate Mat Architectures, Wuhan 430070, Hubei, Peoples R ChinaWuhan Univ Technol, State Key Lab Silicate Mat Architectures, Wuhan 430070, Hubei, Peoples R China
Li, Yuanyuan
Wu, Shaopeng
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Wuhan Univ Technol, State Key Lab Silicate Mat Architectures, Wuhan 430070, Hubei, Peoples R ChinaWuhan Univ Technol, State Key Lab Silicate Mat Architectures, Wuhan 430070, Hubei, Peoples R China
Wu, Shaopeng
Amirkhanian, Serji
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Wuhan Univ Technol, State Key Lab Silicate Mat Architectures, Wuhan 430070, Hubei, Peoples R ChinaWuhan Univ Technol, State Key Lab Silicate Mat Architectures, Wuhan 430070, Hubei, Peoples R China
机构:
North Univ China, Shanxi Key Lab Adv Mfg Technol, Taiyuan, Peoples R ChinaNorth Univ China, Shanxi Key Lab Adv Mfg Technol, Taiyuan, Peoples R China
Wang, Qian
Yu, Ruien
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North Univ China, Shanxi Key Lab Adv Mfg Technol, Taiyuan, Peoples R China
Shanxi Transportat Technol Res & Dev Co Ltd, Taiyuan, Peoples R ChinaNorth Univ China, Shanxi Key Lab Adv Mfg Technol, Taiyuan, Peoples R China
Yu, Ruien
Cai, Lina
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Shanxi Transportat Technol Res & Dev Co Ltd, Taiyuan, Peoples R ChinaNorth Univ China, Shanxi Key Lab Adv Mfg Technol, Taiyuan, Peoples R China
Cai, Lina
Chen, Xiaowen
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机构:
Beijing Oriental Yuhong Waterproof Technol Co Ltd, State Key Lab Special Funct Waterproof Mat, Beijing, Peoples R ChinaNorth Univ China, Shanxi Key Lab Adv Mfg Technol, Taiyuan, Peoples R China
Chen, Xiaowen
Zhu, Xijing
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North Univ China, Shanxi Key Lab Adv Mfg Technol, Taiyuan, Peoples R ChinaNorth Univ China, Shanxi Key Lab Adv Mfg Technol, Taiyuan, Peoples R China
机构:
Northeast Forestry Univ, Coll Civil Engn, Harbin 150040, Peoples R ChinaNortheast Forestry Univ, Coll Civil Engn, Harbin 150040, Peoples R China
Cheng, Peifeng
Wang, Cong
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Northeast Forestry Univ, Coll Civil Engn, Harbin 150040, Peoples R ChinaNortheast Forestry Univ, Coll Civil Engn, Harbin 150040, Peoples R China
Wang, Cong
Zhang, Kaiyuan
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Northeast Forestry Univ, Coll Civil Engn, Harbin 150040, Peoples R ChinaNortheast Forestry Univ, Coll Civil Engn, Harbin 150040, Peoples R China
Zhang, Kaiyuan
Wu, Zitao
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机构:
Heilongjiang Bada Rd & Bridge Construct Co Ltd, Harbin 150006, Peoples R ChinaNortheast Forestry Univ, Coll Civil Engn, Harbin 150040, Peoples R China