Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development

Consumption of Industrial Waste in Sustainable Development of Clean and Environmentally Friendly City Near an Industrial Area

Author(s): Sufyan Ghani and Sunita Kumari *

Pp: 103-119 (17)

DOI: 10.2174/9789815049077122010010

* (Excluding Mailing and Handling)


 Environmental sustainability has become an important problem due to irrational consumption of natural resources and extensive wastes generation. Urbanisation and industrialization have led to a substantial increase in the amount of industrial wastes and their inappropriate disposal leads to serious environmental impacts. Construction industry has the potential for using these wastes in accordance with the sustainability of the environment. In view of the above, the present study explores the effectiveness and bulk utilization of ferrochrome slag, a sort of industrial waste used as a geo-material to improve soil strength by controlling foundation settlement. To investigate the strength and deformation properties of strip footing lying on ferrochrome slag waste, a series of model load tests with varying geotextile depths were conducted. Furthermore, Artificial Intelligence (AI) based computational model has been used for the prediction of settlement for different parameters and geotextile layers. The use of computational models provides a new technique for accurately and cost-effectively predicting footing settling. The findings show that using ferrochrome slag as a ground improvement material is a cost-effective and environmentally friendly way to recycle industrial waste and that AI-based computational models are highly effective at predicting footing settlement and can be used as a reliable tool for preliminary assessments. It also directs towards a clean and environmentally friendly city near the industrial area. 

Keywords: Artificial intelligence, Ferrochrome slag, Geotextile, Settlement, Strip footing, Sustainability.

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