2022
DOI: 10.1016/j.matpr.2021.12.539
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Multiple Regression Models for Compressive and Flexural Strength of Recycled Printed Circuit Board Concrete

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Cited by 8 publications
(8 citation statements)
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“…5 , where the strength at 28 days was 9.8 MPa for PCB and 14.25 MPa for SFPCB. Due to the availability of SF and PCB fibres, the flexural strength of all five SFPCB fibre mixes was superior to that of the PCB-based mix 44 .
Figure 5 Flexural strength of PCB and SFPCB fibre-reinforced concrete mixes.
…”
Section: Resultsmentioning
confidence: 95%
“…5 , where the strength at 28 days was 9.8 MPa for PCB and 14.25 MPa for SFPCB. Due to the availability of SF and PCB fibres, the flexural strength of all five SFPCB fibre mixes was superior to that of the PCB-based mix 44 .
Figure 5 Flexural strength of PCB and SFPCB fibre-reinforced concrete mixes.
…”
Section: Resultsmentioning
confidence: 95%
“…Linear regression is a standard method to study the quantitative relationship between the independent variable and the dependent variable, which is called multiple linear regression when there is more than one independent variable, and is widely used in data analysis in a variety of scenarios [20][21][22]. Its general expression is as follows:…”
Section: Multiple Regression Methodsmentioning
confidence: 99%
“…The coefficient of determination (R 2 ) was used to determine the suitable regression model to represent the relationship between the two variables studied. The closer the R 2 to 1, the more accurate the connection between the variables [16]. Several regression models were made using Microsoft Excel Workbook, in reference to Muchhadiya, Pitroda [16].…”
Section: Regression Modellingmentioning
confidence: 99%
“…The closer the R 2 to 1, the more accurate the connection between the variables [16]. Several regression models were made using Microsoft Excel Workbook, in reference to Muchhadiya, Pitroda [16].…”
Section: Regression Modellingmentioning
confidence: 99%