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Información tecnológica

On-line version ISSN 0718-0764

Abstract

JIMENEZ, Yolanda A.; BASTIDAS, Marlon J.  and  CONSUEGRA, José L.. Obtaining of Coal Mining Waste Mixtures for the Soil Stabilization Through Multiobjective Evolutive Algorithm. Inf. tecnol. [online]. 2019, vol.30, n.4, pp.249-258. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642019000400249.

In this study a Multi-Purpose Evolutionary Algorithm (AEMO) was developed to determine the optimum mixtures of these materials with lime and cement to use these mixtures as construction material. The objective is to compensate for the environmental impact of the extraction of these materials of carbon open mines, applying the mixtures to stabilize roads. Two objective functions were established: to maximize soil support capacity and minimize costs, with restrictions associated with granulometry, plasticity and additive costs. It is shown that these materials can be used for bond material, subbase and/or fill with a pre-treatment of the granulometry and an adjustment of the percentages of the lime. (between 2 and 4 %) and cement (less than 1%) by applying the AEMO, leaving the California Bearing Ratio (CRB) and plasticity index within the appropriate range.

Keywords : excavation material; industrial reuse; mining; evolutionary algorithms; optimization.

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