Research on Performance Prediction Model of Accumulative Energy Self-luminous Road Marking Coatings Based on Fractal Theory
SUN Siwei1, JIN Xin2, DENG Changning1, GUO Naisheng2, YU Yaowei1
1 Liaoning Transportation Research Institute Co., Ltd., Shenyang 110000, China 2 College of Transportation Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China
Abstract Water-based acrylic emulsion, modified fluorocarbon emulsion, glass powder, self-made solvent and rare earth luminescent filler was used to independently develop an environmentally friendly self-luminous road marking coating. The optimal formula of self-luminous road marking coating was obtained through the detection of afterglow brightness, wear resistance, adhesion and anti-slip performance. By using fractal theory to establish a rare earth shine filler particle size distribution function, and get the whole fractal dimension (D), coarse aggregate fractal dimension (Dc)and fine aggregate fractal dimension (Df), according to the road marking quality changing with the fractal dimension, build and verify based on rare-earth luminescence filler particle size distribution fractal dimension of the predictive model. The results showed that the addition of modified fluorocarbon emulsion further improved the adhesion property and self-cleaning property of the coating. Under the joint action of glass powder and rare earth luminescent filler, the energy storage self-luminous road marker has better anti-slip and wear resistance, and the economic benefit is the best. D represents the internal irregularity of the rare earth optical packing. The larger the D value, the smaller the particle size, the greater the irregularity. Dc and Df reflect the content of the coarse and fine particle sizes of the energetic rare earth light fillers, respectively. The content of fine particles increases, and the afterglow brightness and anti-skid performance of the road markers with spontaneous light storage decrease with the increase of Df. However, an appropriate increase in the content of coarse particle size can effectively improve the afterglow brightness and anti-skid performance of the road markers with spontaneous light storage. The prediction model can be used to calculate the quality control indexes of the spontaneous energy storage cursor line with high accuracy, which can provide a certain theoretical basis for selecting a reasonable particle size mixing scheme for the rare earth spontaneous light materials.
SUN Siwei,JIN Xin,DENG Changning, et al. Research on Performance Prediction Model of Accumulative Energy Self-luminous Road Marking Coatings Based on Fractal Theory[J]. Materials Reports,
2022, 36(Z1): 20110256-7.
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2022, Vol. 36 
