(9)Methodology for the Spatial Representation of the State of Compaction in Tailings Dams

摘要

It is common today that the control of the compaction processes for tailings deposits is completed ina punctual manner, which partnered with the large volume of residual deposits, oftenmisrepresents the quality of the construction process; therefore weak areas within the structure ofthe deposit are not detected, and can be generated possible zones of failures.An analysis of the dynamic variability cone resistance parameter (qd) is shown, which is obtainedfrom the variable energy dynamic lightweight penetrometer test (Panda 2 ~R). The assessmentvariability was estimated using classic statistical tools.Estimations were performed for the qualitative characteristics as a function of the relative density(RD %), this parameter was obtained using a correlation with qdN1 (normalized dynamic coneresistance parameter). Then, the level of compaction, mechanical behavior and risk of liquefaction isdetermined showing weak zones. The data processing and geospatial modeling were made usingthe software Rockworks v.14 ~R.This work enabled a validation of the hypothesis regarding reconstruction of the internal structureof a tailings deposit, through the compaction test parameters whether quantitative (dynamic coneresistance parameter, qd) or qualitative (compaction, mechanical behavior). Weak zones andcorroborating the quality of the compaction test process was performed. Furthermore postcompaction control recommendations were completed.