Xiule Chen , Yiming Li , Peifeng Cheng , Haolong Wang , Tengfei Nian
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引用次数: 0
Abstract
To achieve the sustainable and eco-friendly development of pavement materials, finding alternative materials to reduce the dependence on petroleum resources is desirable. In this study, bio-asphalt was prepared using liquefied products derived from corn straw. Firstly, the effects of liquefaction parameters on the liquefaction yield of straw bio-oil were explored, and a bio-oil liquefaction rate prediction model was constructed by combining the machine learning algorithm. Then, the composition of the bio-oil was characterized using Fourier transform infrared spectroscopy (FTIR) and gas chromatography-mass spectrometry (GC-MS), while its thermal stability was analyzed through thermogravimetric analysis (TGA). Finally, the mechanism by which bio-oil influences both the conventional and rheological characteristics of bio-asphalt was examined. The results indicated that the liquid-solid ratio (LR) during the liquefaction process has the most significant impact on the bio-oil liquefaction yield of corn straw. Constructed corn straw bio-oil liquefaction yield model can predict the liquefaction accurately under various parameters, and the relative error of prediction is less than 5.51 %. The composition of bio-oil includes phenols, esters, and other components with high stability. It can maintain good thermal stability from 0℃ to 200℃, and its chemical composition resembles that of asphalt. The asphalt still retains its inherent properties with a 25 % bio-oil content, and the bio-asphalt exhibits good performance at both high and low temperatures. Moreover, the alcohols present in bio-oil significantly impact the consistency of asphalt, while esters are positively correlated with the asphalt’s performance at high temperatures.
期刊介绍:
Industrial Crops and Products is an International Journal publishing academic and industrial research on industrial (defined as non-food/non-feed) crops and products. Papers concern both crop-oriented and bio-based materials from crops-oriented research, and should be of interest to an international audience, hypothesis driven, and where comparisons are made statistics performed.