2023
DOI: 10.1016/j.cscm.2023.e01841
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Performance investigation and parameter optimization of ultra-light aerated concrete using orthogonal experimental design

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Cited by 4 publications
(3 citation statements)
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“…The introduction of these techniques required the use of mathematical concepts such as matrices with special properties (rotatability, D optimal, A optimal) that brought users maximum satisfaction with minimum resources [49][50][51]. There are many fields where this method has been successfully applied, including agriculture [52,53], materials science [54,55], environment [56,57], process optimisation [58,59], sustainable building…”
Section: Design Of Experiments Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The introduction of these techniques required the use of mathematical concepts such as matrices with special properties (rotatability, D optimal, A optimal) that brought users maximum satisfaction with minimum resources [49][50][51]. There are many fields where this method has been successfully applied, including agriculture [52,53], materials science [54,55], environment [56,57], process optimisation [58,59], sustainable building…”
Section: Design Of Experiments Methodsmentioning
confidence: 99%
“…The introduction of these techniques required the use of mathematical concepts such as matrices with special properties (rotatability, D optimal, A optimal) that brought users maximum satisfaction with minimum resources [49][50][51]. There are many fields where this method has been successfully applied, including agriculture [52,53], materials science [54,55], environment [56,57], process optimisation [58,59], sustainable building construction [14,15], etc. Overall, it can be said that the experimental planning method is able to solve processes/phenomena of the black box type shown in Figure 5 that depend on a series of known/controllable input factors, Xi, and that can influence their output characteristics, Yi, called output factors, being totally dependent on them.…”
Section: Design Of Experiments Methodsmentioning
confidence: 99%
“…Te selected sample points should sufciently refect the characteristics of the entire experimental design space, making it a crucial aspect of constructing the response surface model. Commonly used methods for sample selection include central composite design (CCD) [31], Latin hypercube sampling design [32], orthogonal experimental design [33], and Box-Behnken experimental design [34]. Considering the complexity of the mapping relationship between design variables and output response values, the central composite design method is adopted in this paper to construct the sample space.…”
Section: Design and Simulationmentioning
confidence: 99%