红外快速检测技术在国道242项目中的应用研究

Application of Infrared Rapid Detection Technology in National Highway 242 Project

采用红外快速检测技术在国道242项目上对到场沥青进行宏观性能预测,试验结果表明,当进行软化点预测时,应先采用S-G导数对沥青样品的红外光谱进行预处理,然后采用留一法建立模型样品库,对于入库样品采用主成分分析—PLS方法建立软化点预测模型;当进行针入度和延度预测时,不进行预处理,直接采用留一法建库、主成分分析—PLS方法建模。对于国道242线工程现场单一来源样品,10个样品即可建模,软化点预测结果全部满足要求,针入度和延度仅有一个预测结果不满足要求。该技术在国道242线上的成功应用,缩短了沥青到场入库时间,减少人为干扰,提高了检测效率和准确性。

In this paper,the infrared rapid detection technology is used to predict the macro performance of asphalt on the national highway 242 project. The test results show that when predicting the softening point,the S-G derivative should be used to preprocess the infrared spectrum of asphalt samples,and then the model sample library is established by the leave one method,and the PCA-PLS method is used to establish the softening point prediction model for the incoming samples. When the penetration and ductility are predicted,the method of leaving one method is used to build the database and PCA-PLS is used to build the model. For the national highway 242 project site single source sample,10 samples can be modeled,softening point prediction results all meet the requirements. For penetration and ductility,only one prediction result does not meet the requirements.The successful application of this technology in national highway 242 shortens the time of asphalt arrival and storage,reduces human interference,and improves the detection efficiency and accuracy.