Frost Damage to Roof Tiles: Ice Distribution in Freeze-thaw Experiment

Freeze-Thaw Bayesian Optimization

In machine learning, the term “training” is used to describe the procedure of fitting a model to data. In many popular models, this fitting procedure is framed as an optimization problem, in which a loss is minimized as a function of the parameters. In all but the simplest machine learning models, this minimization must be performed with an iterative algorithm such as stochastic gradient descen...

Acoustic Emission to Detect Damage in FRP Strength Under Freeze and Thaw Cycles

Using Acoustic Emission to Quantify Freeze–Thaw Damage of Mortar Saturated with NaCl Solutions

Mortar samples were saturated with NaCl solutions of various concentrations and subjected to freeze– thaw cycles. Passive and active acoustic emission (AE) testing was conducted. The freezing temperature of the NaCl solutions in mortar corresponded with the sudden observation of passive AE events. The acoustic energy and damage parameter were calculated to evaluate the extent of freeze–thaw dam...

Producing superhydrophobic coatings for roof tiles

Luis A.M. Carrascosa Group TEP-243, Departamento de Química-Física, Facultad de Ciencias (Universidad de Cádiz), Puerto Real (Cadiz), Spain, [email protected] Dario S. Facio Group TEP-243, Departamento de Química-Física, Facultad de Ciencias (Universidad de Cádiz), Puerto Real (Cadiz), Spain, [email protected] Maria J. Mosquera Group TEP-243, Departamento de Química-Física, F...

Cavitation and water fluxes driven by ice water potential in Juglans regia during freeze–thaw cycles

Freeze-thaw cycles induce major hydraulic changes due to liquid-to-ice transition within tree stems. The very low water potential at the ice-liquid interface is crucial as it may cause lysis of living cells as well as water fluxes and embolism in sap conduits, which impacts whole tree-water relations. We investigated water fluxes induced by ice formation during freeze-thaw cycles in Juglans reg...