This research is carried out to investigate the Gaussian process regression (GPR) based on a machine learning model predict compressive strength of Miscanthus lightweight concrete (MLWC). A database 414 experimental data, which includes nine input variables such as six mix constituents concrete, form specimen, curing time and pre-treatment condition an output variable MLWC, constructed from dat...

Structural lightweight concrete (LWC) has recently acquired research importance because of its good thermal insulation properties. However, there is a lack knowledge about properties at elevated temperatures. The properties, such as conductivity and specific heat, porous LWC vary depending on the aggregates, air voids, moisture content in question. To study these effects, this paper, we measure...