2019
DOI: 10.28991/cej-2019-03091243
|View full text |Cite
|
Sign up to set email alerts
|

Experimental Investigation and Statistical Modeling of FRP Confined RuC Using Response Surface Methodology

Abstract: Scrap tires that are dumped to landfill is a serious problem in China and rest of the world. The use of rubber in concrete is an effective environmental approach to reduce the amount of scrap tires around the world. However, the loss in compressive strength of concrete is a major drawback of rubberized concrete. In this paper, the fiber reinforced polymer (FRP) confinement technique is used to overcome the drawbacks of rubberized concrete (RuC). A total of sixty six RuC cylinders were tested in axial compressi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
4
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 18 publications
(4 citation statements)
references
References 36 publications
0
4
0
Order By: Relevance
“…ANOVA technique was used to perform the statistical analysis of experimental data for onwards application in the response surface methods to determine the optimum mix parameters. The outcomes of ANOVA were optimized by widely accepted RSM techniques [23,48]. The significance level was kept at 0.05 for the quantification of the statistical significance of the experimental outcome.…”
Section: Resultsmentioning
confidence: 99%
“…ANOVA technique was used to perform the statistical analysis of experimental data for onwards application in the response surface methods to determine the optimum mix parameters. The outcomes of ANOVA were optimized by widely accepted RSM techniques [23,48]. The significance level was kept at 0.05 for the quantification of the statistical significance of the experimental outcome.…”
Section: Resultsmentioning
confidence: 99%
“…e output emphasized ANN and SVR models yielded higher accuracy compared to the RSM model. RSM was used to study the impact of input attributes on response attributes illustrated in [16][17][18]. Various analyses of techniques to predict the surface finish in machining procedures are mentioned in [19].…”
Section: Introductionmentioning
confidence: 99%
“…The statistical model is significant because the difference between the predicted and adjusted R 2 is very small which indicates the significance of the statistical models. The statistical model can provide more understanding for the design of experiments and parameters that affect the concrete properties [26][27][28].…”
Section: Introductionmentioning
confidence: 99%