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引用本文:丁庆军,赵明宇,沈凡,卢吉.基于灰色系统理论的RAP材料颗粒组成特征分析[J].建筑材料学报,2015,18(4):619-625
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基于灰色系统理论的RAP材料颗粒组成特征分析
丁庆军1, 赵明宇1, 沈凡2, 卢吉1
1.武汉理工大学硅酸盐建筑材料国家重点实验室,湖北武汉430070;2.武汉工程大学材料科学与工程学院,湖北武汉430073
摘要:
针对废弃沥青混凝土(RAP)颗粒组成复杂,不利于再生沥青混凝土级配准确控制的问题,利用灰色系统理论,以RAP制备的多孔沥青混凝土的孔隙率偏差值作为灰色系统的主行为,以不同虚拟系数(Kc)在合成筛分中所占的比例作为影响系统主行为的相关因素行为,对RAP材料颗粒组成进行灰色关联分析,得到代表再生沥青混凝土级配准确程度与RAP颗粒组成关系的灰色关联度序列.结果表明:不同粒径范围的RAP颗粒组成规律不同,粒径越大对再生沥青混凝土级配的影响越明显;通过关联度对比分析,可模拟出1条接近再生后RAP颗粒真实存在状态的虚拟筛分曲线,经验证,该虚拟筛分曲线能够更准确地控制再生沥青混凝土级配,从而为RAP在骨架型沥青混合料中的应用提供理论指导.
关键词:  灰色系统  废弃沥青混凝土  颗粒组成  虚拟筛分曲线
DOI:103969/jissn1007 9629201504015
分类号:
基金项目:国家自然科学基金资助项目(51302198);武汉工程大学科学研究基金资助项目(K201302);湖北省公路管理局科技项目
Granulometric Composition Analysis of RAP Based on Grey System Theory
DING Qingjun1, ZHAO Mingyu1, SHEN Fan2, LU Ji1
1.State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Wuhan 430070, China;2.School of Materials Science and Engineering, Wuhan Institute of Technology, Wuhan 430073, China
Abstract:
For complex composition of reclaimed asphalt concrete(RAP) particles to accurately control the gradation of recycled asphalt concrete, based on grey system theory, putting deviation value of void ratio in RAP porous asphalt concrete as system behavior and percentage of virtual coefficient(Kc) in synthetic screening as relevant factor behavior to analyze grey correlation between the two behaviors, this work figures out grey correlation degree sequence which represents recycled asphalt concrete gradation accuracy and RAP particles relations. Results indicate that RAP particles with different particle size range have different compositions, and impact on the gradation of the recycled asphalt concrete is more obvious with the larger RAP particle size. Through comparative analysis of correlation, a virtual screening curve is simulated,which is close to real particles state of RAP. And this virtual screening curve can accurately control the gradation of recycled asphalt concrete.
Key words:  grey system  reclaimed asphalt pavement  particle composition  virtual screening curve