摘要
考察了常用添加剂掺量与改性沥青软化点、延度、针入度三个改性沥青关键指标的相关性,结果显示在一定的范围内,SBS、相容剂的加入量与各指标呈现较好的线性关系,随后通过逐步回归方法建立了沥青关键指标预测模型,编制计算机程序实现了数据的自动处理,并通过具体实例对模型的精确度进行了验证。结果显示:在历史数据充分的前提下,所构建模型在已知配方的情况下能够较为准确的对所需指标进行预测,可用于辅助沥青产品开发决策。
The correlation between the dosage of common additives and the modified asphalt key indexes such as softening point, ductility and penetration were investigated in this paper. The results showed that the dosage of SBS and compatibilizer had a good linear relationship with Various indexes. Then, the asphalt index prediction model is established by stepwise regression method, and a computer program is designed to achieve automatic data processing. Here after, the accuracy of the model is verified by concrete examples. The results showed that based on the sufficient historical data, the accuracy of the forecasting' model is good, and the ex- pected indicators can be predicted accurately in the case of known formulas. The model can be used to assist the design of modified asphalt products.
出处
《石油沥青》
2017年第5期22-26,共5页
Petroleum Asphalt
关键词
改性沥青
SBS
逐步回归指标预测
modified asphalt
SBS
stepwise regression
index prediction