effect of adding probiotic bacteria on bauxite waste mud

Bauxite waste sludge is quite dangerous when polluted into the surrounding environment. The number is increasing with the higher mining production. The utilization is still not maximized hence it is unbalanced to the increasing number, and it is necessary to use on a large scale. Sub-grade soil could use a lot of bauxite waste sludge but in reality, this waste is unsafe to use and its characteristics are mud the requirements of bearing capacity according to the AASHTO and USCS Classification unfulfilled. This study aims to determine the effect of the use of probiotic bacteria in bauxite waste on its physical characteristics and pH value. This experimental research method develops test objects according to ASTM standards with the same weight of bauxite waste and variations in the number of probiotic bacteria, namely 25 ml, 50 ml, 75 ml, and 100 ml and the incubation time of bacteria is 7 days, 14 days, 21 days, 28 days, 35 days, and 42 days. The results showed that the test specimens with more bacteria and longer incubation times resulted in lower pH values and physical characteristics that fulfilled the requirements for sub-grade soil.

Creation of a knowledge management model based on CBR

This paper proposes a solution to facilitate maintenance activities associated with stand-alone solar photovoltaic installations in our developing countries. The autonomous photovoltaic solar installation is not connected to the electricity distribution grid. It meets the electricity needs on the one hand, of those who are too far away and who do not have access to the distribution grid. On the other hand, those who wish to overcome the constraints of connection to the electrical distribution grid. Our work focuses on the capitalization of knowledge in maintenance activity. The goal is to propose a model capable of helping maintenance technicians during their interventions by providing them with knowledge elements that will be drawn from a knowledge base. This knowledge base is built from the knowledge collected during previous maintenance activities in a given solar photovoltaic installation.