Influence of a Novel Carbon-Based Nano-Material on the Thermal Conductivity of Mortar

The paper presents the results of research work to assess thermal conductivity mortar incorporating a novel carbon-based nano-material (CBN). data from laboratory tests served as starting point in training an artificial neural network (ANN) based on Levenberg–Marquardt backpropagation algorithm that was used predict values at later ages. CBNs were essential precursors multi-walled carbon nano-tubes but different their counterparts fact they capped ends. This configuration should result lower surface tension and prevent bundling even without use surfactants sonication. obtained show mixes with CBN exhibit higher for coefficient early ages compared reference mix, very low percentages by weight cement. ANN is able accurately experimental both 28 days serve further investigations into microstructure cement-based materials enhanced CBNs.