Study and prediction analysis on road performance of basalt fiber permeable concrete

Author:

Wang Wenhua1,Zhu Jinzhong1,Cheng Xiaojun1,Jiang Da1,Shi Guoqin1,Chen Xinghan1

Affiliation:

1. School of Civil Engineering of Changchun Institute of Technology, Jilin Province Key Laboratory for Earthquake Resistance and Hazard Mitigation of Civil Engineering , Changchun , Jilin 130012 , China

Abstract

Abstract To analyze the influence of basalt fiber on the performance of permeable concrete for road applications, this study focuses on two key performance indicators: compressive strength and permeability coefficient of basalt fiber permeable concrete. Based on orthogonal experimental data, regression prediction equations were established using SPSS software to assess the effects of different fiber parameters on the compressive strength and permeability coefficient. The predicted results were then compared with experimental data. The findings indicate that the average relative error of the predicted values for both performance indicators is within a manageable range of 5%, demonstrating a high prediction accuracy. Using these regression equations, we can examine the variations in the road performance of basalt fiber permeable concrete under different fiber parameter conditions, thereby overcoming the limitations of conducting numerous parameter analysis experiments.

Publisher

Walter de Gruyter GmbH

Subject

Materials Chemistry,Ceramics and Composites

Reference35 articles.

1. Zhu YC. Effect of fit ratio on strength and voidge of pervious concrete. Shanxi Arch. 2023;49(15):115–8.

2. Sriravindrarajah R, Wang NDH, Ervin LJW. Mix design for pervious recycled aggregate concrete. Int J Concr Struct Mater. 2012;6(4):239–46.

3. Liu XF, Li JX. Experimental study on mix ratio of rigid fiber reinforced pervious concrete. J Hebei Univ Technol. 2015;44(06):104–7.

4. Technical specification for pervious cement concrete pavement. CJJ/T 135-2009 (China); 2009.

5. Wang C. Mechanical properties and application of recycled aggregate pervious concrete. Sichuan Arch. 2023;43(2):303–5.

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