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In this study, mix proportion parameters of expanded polystyrene (EPS) lightweight aggregate concrete are analyzed by using Taguchi's approach.
The purpose is to ensure mixture proportion parameters fulfill the design requirements for concrete workability, bending strength, and durability.
The present paper focuses on understanding the relationship between the mixing proportion parameters of self-compacting concrete (SCC) and its environmental impact and thus developing more greener SCC.
In this study, mix proportion parameters of high strength self compacting concrete (HSSCC) are analyzed by using the Taguchi's experiment design methodology for optimal design.
This study also illustrates how ANNs can be used to beneficially predict durability in terms of chloride ions permeability across a wide range of mix proportion parameters of HPC.
Regardless of the mixing proportion parameters, the e-CO2, e-energy and e-resource index of SCC both decrease with the increasing compressive strength for SCCs with a compressive strength ranging from 30 to 60 MPa.
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It is characterized by a seed that yields the heterogeneity distribution and a diagenesis proportion parameter a of 0.5.
In this paper, we propose new polynomial-time algorithms to establish upper bounds of the proportion parameter.
Most of the existing methods can provide only upper and lower bounds on the proportion parameter that characterizes the null space condition.
Results show that comparing the two systems the hybrid pump allows to save more primary energy, costs and carbon dioxide emissions with respect to absorption heat pump with the increasing of compressor proportion parameter.
For example, if it is expected that a given proportion of the population will behave in a certain way, and the rest in another when using a given asset, these two behaviour types can be applied to the model with varying levels by simply calling on these two behaviours and setting a proportion parameter in the command line.
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