2021
DOI: 10.3390/ma14081866
|View full text |Cite
|
Sign up to set email alerts
|

Design of Experiment on Concrete Mechanical Properties Prediction: A Critical Review

Abstract: Concrete mix design and the determination of concrete performance are not merely engineering studies, but also mathematical and statistical endeavors. The study of concrete mechanical properties involves a myriad of factors, including, but not limited to, the amount of each constituent material and its proportion, the type and dosage of chemical additives, and the inclusion of different waste materials. The number of factors and combinations make it difficult, or outright impossible, to formulate an expression… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
19
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
3

Relationship

2
7

Authors

Journals

citations
Cited by 43 publications
(24 citation statements)
references
References 75 publications
0
19
0
Order By: Relevance
“…The foamed concrete mix design is commonly determined based on a trial and error approach [ 38 , 39 , 40 , 41 , 42 , 43 , 44 ]. The design of the experiment based on empirical or computational modelling [ 45 , 46 , 47 , 48 ] and statistical methods approaches have been implemented to analyze multifactor experiments and the model used in the prediction of compressive strength of foamed concrete with minimal mean square errors and standard deviation. In addition, the analysis of variance (ANOVA) is used to ascertain the influence of different factors on the various properties to get the optimal conditions for the target value, and the multiple regression approach is used to develop empirical relationships that are used for the mix design [ 49 , 50 , 51 ].…”
Section: Introductionmentioning
confidence: 99%
“…The foamed concrete mix design is commonly determined based on a trial and error approach [ 38 , 39 , 40 , 41 , 42 , 43 , 44 ]. The design of the experiment based on empirical or computational modelling [ 45 , 46 , 47 , 48 ] and statistical methods approaches have been implemented to analyze multifactor experiments and the model used in the prediction of compressive strength of foamed concrete with minimal mean square errors and standard deviation. In addition, the analysis of variance (ANOVA) is used to ascertain the influence of different factors on the various properties to get the optimal conditions for the target value, and the multiple regression approach is used to develop empirical relationships that are used for the mix design [ 49 , 50 , 51 ].…”
Section: Introductionmentioning
confidence: 99%
“…Over several years, OPC has been extensively employed globally as a binder to manufacture concrete and an assortment of edifice materials. However, it is a scientifically proven fact that the contemporary production process is highly energy intensive with necessitating elevated temperatures of about 1450 to 1550 • C and, more importantly, not an ecobenevolent one since it causes grave environmental pollution through the emission of a substantial quantity of greenhouse gases (GHG) [1][2][3][4][5]. Unfortunately, OPC production alone is blamed for virtually 6 to 7% of total CO 2 emissions-a primary GHG, as estimated by International Energy Agency (IEA) [6].…”
Section: Introductionmentioning
confidence: 99%
“…In the same context, Gao et al [ 46 ] employed RSM to maximise the compressive strength of alkali-activated slag under different ratios of liquid to solid concentrations and alkali activator. Other predictions and optimisation models are also available in the present literature [ 47 , 48 ].…”
Section: Introductionmentioning
confidence: 99%