基于遗传优化的乳化沥青冷再生混合料的疲劳性能及机理研究

doi:10.11896/cldb.18070156

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Abstract n order to improve the accuracy of fatigue performance evaluation and optimal design of emulsified asphalt cold recycled mixture, the effect of cement content, emulsified asphalt content and RAP content on fatigue performance of cold recycled mixture under various stress ratio were studied by orthogonal test design. Based on BP neural network model and genetic algorithm, materials parameter were optimized and the correlation between materials content and stress level was illustrated. Then the anti-cracking mechanism of cold recycled mixture was revealed according to SEM test and elemental analysis. The results showed that the significance of materials content influencing fatigue performance under various stress ratio was ranked differently, and the fatigue performance all existed a peak as materials content increased under high stress level. The proportion of 1.53% cement, 3.56% emulsified asphalt and 78.31% RAP was recommend by genetic optimization results. Abundant hydration products like C₃S and C₂S were found positioning in the interfacial crack between asphalt and aggregate, where the content of Ca/Si was as high as 78.84% that enhanced the interfacial strength.

Key words： emulsified asphalt cold recycled mixture fatigue performance genetic optimization materials content anti-crack mechanism

Published: 12 July 2019

CLC number:

U414

Fund:This work was financially supported by the Natural Science Foundation of Shanxi Province (2017JQ5085), the Fundamental Research Funds for the Central Universities, CHD (300102219713).

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	Articles by authors
	LYU Zhenghua
	SHEN Aiqin
	LI Yue
	GUO Yinchuan
	YU Muyang

Cite this article:

LYU Zhenghua,SHEN Aiqin,LI Yue, et al. Study on Fatigue Performance and Mechanism of Emulsified Asphalt Cold Recycled Mixture Based on Genetic Optimization[J]. Materials Reports, 2019, 33(16): 2704-2709.

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http://www.mater-rep.com/EN/10.11896/cldb.18070156 OR http://www.mater-rep.com/EN/Y2019/V33/I16/2704

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