Now showing items 1-4 of 4
Compressive strength prediction models for cementitious composites with fly ash using machine learning techniques
In this study, it was proposed a novel prediction model to predict compressive strength of mortar samples having different properties. For this purpose, 8 different fly ashes were used in mortar mixture as a replacement ...
Radio-wave absorption by aluminum and its dependence on the absorption distance
The absorption of radio wave is relevant to electromagnetic interference (EMI) shielding and low observability. The effect of the absorption distance much above the calculated skin depth on the absorption of radio wave ...
DC electric polarization of cured cement paste being unexpectedly hindered by free water
Electric polarization is basic to the dielectric behavior, which is pertinent to the science and applications of cement-based materials. This work reports the dynamics of the DC-current-induced electric polarization/depolarization ...
Capacitance-based stress self-sensing effectiveness of a model asphalt without functional component
Capacitance-based self-sensing is shown for the first time on a pitch-based material, which serves as model asphalt. No functional component is involved. Compressive stress (5–1720 Pa) is sensed. The capacitance increases ...