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道路沥青材料针入度与温度的关联及其数学模型的验证 被引量:1

Relation and Mathematical Model Verification between the Penetration and Temperature of Pavement Asphalt Material
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摘要 很多文献研究针入度的对数与摄氏温度的线性关系用于评价沥青中温的温度敏感性的有效性,却鲜有人对其线性关系是否是表征针入度与温度关系的最优关系提出质疑。张小英最新研究得出针入度的对数与绝对温度对数之间的关联最适合表征针入度与温度之间的.关系,并用10个沥青产品建立了针入度与温度之间的数学模型。本研究采用34个沥青产品不仅验证并证实了张小英最新研究的结论的正确性,而且证明了其数学模型的普遍适用性。研究得出用针入度的对数与温度对数的斜率或截距表征沥青材料中温的温度敏感性比针入度指数更准确更有效,且其与沥青产品一一对应,而目前的针入度指数与沥青之间并不存在一一对应关系。 Many literatures have studied the validity of linear relationship between penetration’s logarithm and Celsius temperature,which is used in evaluating the temperature sensitivity of asphalt in medium temperature,but few people question whether the linear relationship is the optimal one to characterize the relationship between penetration and temperature.Zhang Xiaoying’s latest research concluded that the relationship between penetration logarithm and absolute temperature logarithm is the most suitable to represent the relationship between penetration and temperature,and a mathematical model between penetration and temperature is established by 10 asphalt products.In this study,34 asphalt products are used not only to verify and confirm the correctness of the conclusion of Zhang Xiaoying’s latest research,but also to prove the universal applicability of this mathematical model.The results show that the slope or intercept of penetration log and temperature log is more accurate and effective than the penetration index in characterizing the temperature sensitivity of asphalt material,and it correspond asphalt products one to one,but present there is no one to one correspondence between current penetration index and asphalt.
作者 车金良 杨亚龙 张小英 CHE Jinliang;YANG Yalong;ZHANG Xiaoying(CNOOC Research Institute of Refining and,Petrochemicals,Qingdao 266500;College of Chemical Engineering,China University of Petroleum,Qingdao 266500;State Key Laboratory of Heaey Oii Processing,Qingdao 266580)
出处 《石油沥青》 2022年第1期45-54,共10页 Petroleum Asphalt
关键词 沥青 针入度 关联 数学模型 温度敏感性 asphalt penetration correlation mathematical model temperature sensibility
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