Meta-analysis of studies on eggshell concrete using mixed regression and response surface methodology
| Autor: | Xiaofeng Li, Mohd Mustafa Al Bakri Abdullah, Ramadhansyah Putra Jaya, Mohd Rosli Mohd Hasan, B. W. Chong, Rokiah Othman |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Cement
Environmental Engineering Aggregate (composite) 020209 energy General Chemical Engineering Mechanical Engineering 0211 other engineering and technologies General Engineering Superplasticizer Slag 02 engineering and technology Catalysis Compressive strength Ground granulated blast-furnace slag visual_art 021105 building & construction 0202 electrical engineering electronic engineering information engineering visual_art.visual_art_medium Geotechnical engineering Response surface methodology Electrical and Electronic Engineering Eggshell Civil and Structural Engineering Mathematics |
| Zdroj: | Journal of King Saud University - Engineering Sciences. |
| ISSN: | 1018-3639 |
| Popis: | Eggshell concrete is an innovative green material that helps to recycle eggshell waste while reducing the environmental harm caused by excessive cement production. However, recent studies on eggshell concrete are limited and the outcomes may vary due to the variation of mix design. Design of experiment is used to simplify and optimize the study of sustainable concrete, yet analysis involving eggshell concrete is still scarce. This paper aimed to develop mathematical models for the prediction of eggshell concrete compressive strength using the mixed regression (MR) and response surface methodology (RSM). Overall, 43 datasets were collected from available studies in the literature on eggshell powder as partial cement replacement. The input variables used were percentage of eggshell, percentage of Ground Granulated Blast-furnace Slag (GGBS), cement content, fine aggregate, coarse aggregate, water, and Conplast SP-430 superplasticizer. The analysis of contour plot concluded that eggshell powder increased the concrete compressive strength at an optimal replacement percentage between 5% and 10%. However, the cement partial replacement with eggshell powder is more optimal for mix design with higher water content. The statistical results of the model, such as R2, adjusted R2 and root-mean-square error (RMSE), indicated that both MR and RSM models are powerful tools to formulate and predict the eggshell concrete compressive strength. However, RSM models showed better accuracy and lower deviation. |
| Databáze: | OpenAIRE |
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