Sustainable utilization of foundry waste: Forecasting mechanical properties of foundry sand based concrete using multi-expression programming

Waste Foundry sand (WFS), a major solid waste from metal casting industry, is posing a significant environmental threat owing to its disposal to landfills. In this research, an innovative artificial intelligence technique i.e. Multi-Expression Programming (MEP) is applied to model the split tensile...

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Vydáno v:	The Science of the total environment Ročník 780; s. 146524
Hlavní autoři:	Iqbal, Muhammad Farjad, Javed, Muhammad Faisal, Rauf, Momina, Azim, Iftikhar, Ashraf, Muhammad, Yang, Jian, Liu, Qing-feng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.08.2021
Témata:	artificial intelligence compression strength concrete environment Foundry sand industry Landfill disposal model validation modulus of elasticity Multi-expression programming Parametric analysis prediction sand sand fraction Solid waste solid wastes statistical analysis Sustainable construction tensile strength waste disposal Landfill disposal Solid waste Multi-expression programming Parametric analysis Sustainable construction Foundry sand
ISSN:	0048-9697, 1879-1026, 1879-1026
On-line přístup:	Získat plný text
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