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Study on the Optimizing Mix Design Based on Particle Shape of Coarse Aggregate

Author: ChengXiaoYun
Tutor: ZhangZhengQi
School: Chang'an University
Course: Road and Railway Engineering
Keywords: Asphalt mixture Grading Digital Image Processing Aggregate shape characteristics Temperature performance
CLC: U414
Type: Master's thesis
Year: 2010
Downloads: 114
Quote: 0
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Abstract


With the constant improvement of China 's highway network , inter-city , the City , the city 's traffic reachability , efficiency , convenience and safety have been greatly improved. Various diseases steady erosion of existing roads , especially Rut is prevalent throughout the country , serious damage to the asphalt pavement performance, pavement lower level of service , greatly increasing the cost of road operators and road users travel expenses . Practice has proved that the reason for the road damage in addition to these external causes overload, natural aging , the most critical is the mixture gradation internal factors . Therefore, the gradation is imperative to optimize the research . The grading design depends on the experience in the design , existing optimization method with start from the adjustment level , focusing on macroeconomic factors , such as the regulation of the particle size . But practice shows that the aggregate gradation performance not only its particle size , particle shape , size and texture of a great relationship , the the current grading design method only consider the particle size, can not achieve optimal design results . Multi-scale analysis graded influencing factors, Research of Design Method of great significance . This article from the mineral aggregate micro-scale study , by means of image processing technology, in-depth study of mineral aggregate particle shape characteristics proposed parameters to characterize the mineral aggregate particle shape characteristics . And pre - set different shaped particles of different content , mixes high temperature performance test , and explore the variation of each parameter ; Fractal Theory grading curve quantitative methods . Using SPSS mixture performance and mineral aggregate particle shape characteristic parameters and grading parameter mathematical relationship analysis software , and a high correlation . The papers referred to in the model reflects the combined effects of aggregate gradation and particles on the performance of asphalt mixture gradation optimized design provides a theoretical basis . If certain mineral aggregate gradation must , according to the model to calculate the mixture performance , which can be adjusted aggregate gradation of the preliminary design , greatly improving the efficiency of the asphalt mixture design , a design gradation ex ante optimization method . Results for mix design , to improve the asphalt mixture performance and reduce road surface disease is important.

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