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espanolEn este estudio se desarrollo un Algoritmo Evolutivo Multi Objetivo (AEMO) para determinar las mezclas optimas de material esteril extraidos de la mineria del carbon a cielo abierto con cal y cemento, para su uso en construccion. El objetivo es compensar el efecto ambiental de la extraccion de estos materiales de la mineria del carbon aplicandolos en la estabilizacion de suelos para infraestructura vial. Se establecieron dos funciones objetivo: maximizar la capacidad de soporte del suelo y minimizar los costos, con restricciones asociadas a la granulometria, plasticidad y costos de los aditivos. Se muestra que estos materiales pueden ser utilizados para material de afirmado, subbase y/o terraplen con un tratamiento previo de la granulometria y un ajuste de los porcentajes de cal (entre el 2 y el 4%) y cemento (menos del 1%) mediante la aplicacion del AEMO, quedando la Relacion de Soporte California (CBR) e indice de plasticidad dentro del rango adecuado. EnglishIn 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.

Optimización de Residuos Mineros de Carbón para el Mejoramiento de Suelos Viales con Algoritmos Evolutivos Multiobjetivo