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Multiple Regression Models for Compressive and Flexural Strength of Recycled Printed Circuit Board Concrete by Muchhadiya, Pratiksha Dayabhai (author);Pitroda, J.R. (author);Gujar, Rajesh (author);Soni, Jaykumar (author) is a Engineering article available to read on EtoBox.
What is Multiple Regression Models for Compressive and Flexural Strength of Recycled Printed Circuit Board Concrete about?
Printed circuit board (PCB) waste is becoming a major environmental and human health concern. PCB trash disposal is becoming a significant issue. In the building industry, there is the possibility to use new technology to recycle huge quantities of printed circuit board waste material. The civil engineer is compelled to look for a cheaper aggregate source since the extra expense has increased. Minimize electronic trash on the planet and the material used in building by implementing printed circuit boards. PCB waste concrete's compressive and flexural strengths will be examined in this study. The concrete's compressive and flexural properties were conducted using a printed circuit board as a coarse aggregate substitute. When using a water-cement ratio of 0.50 for M30 concrete, certain common cubes lose between 5 and 25 percent of aggregate. Seven and 28-day tests are used to see how PCB waste material impacts concrete cubes and beams' compressive and flexural strengths. The association between the PCB waste concrete and the regression analysis is determined. The most precise regression model is obtained utilizing several regression equations, such as multiple regression equations.
Who reads Multiple Regression Models for Compressive and Flexural Strength of Recycled Printed Circuit Board Concrete?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Muchhadiya, Pratiksha Dayabhai (author);Pitroda, J.R. (author);Gujar, Rajesh (author);Soni, Jaykumar (author)
- Publisher
- Elsevier BV
- Published
- 2022
- Language
- EN
- Field
- Engineering (Physical Sciences)