{"title":"Study and prediction analysis on road performance of basalt fiber permeable concrete","authors":"Wenhua Wang, Jinzhong Zhu, Xiaojun Cheng, Da Jiang, Guoqin Shi, Xinghan Chen","doi":"10.1515/secm-2022-0223","DOIUrl":null,"url":null,"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.","PeriodicalId":21480,"journal":{"name":"Science and Engineering of Composite Materials","volume":"2013 1","pages":"0"},"PeriodicalIF":1.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science and Engineering of Composite Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/secm-2022-0223","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Materials Science","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Science and Engineering of Composite Materials is a quarterly publication which provides a forum for discussion of all aspects related to the structure and performance under simulated and actual service conditions of composites. The publication covers a variety of subjects, such as macro and micro and nano structure of materials, their mechanics and nanomechanics, the interphase, physical and chemical aging, fatigue, environmental interactions, and process modeling. The interdisciplinary character of the subject as well as the possible development and use of composites for novel and specific applications receives special attention.