Machine learning prediction of 28-day compressive strength of CNT/cement composites with considering size effects
It is challenging for either traditional modelling or experiments to capture the complex
relationship between the strength of cement composites and the many influencing factors …
relationship between the strength of cement composites and the many influencing factors …
[HTML][HTML] Predicting the compressive strength of carbon-enhanced cementitious composites using two-dimensional convolutional neural networks
This study addresses the limitations of traditional statistical methods and artificial neural
networks (ANNs) in extracting relevant features from carbon-based cementitious composites …
networks (ANNs) in extracting relevant features from carbon-based cementitious composites …
Cyclic loading effects on the heat-generation performance of carbon nanotube-embedded cement composites
This study investigates the heat-generation stability of carbon nanotube (CNT)/cement
composites after exposing to cyclic loading conditions. The specimens were fabricated with …
composites after exposing to cyclic loading conditions. The specimens were fabricated with …
Data-Driven Prediction of Electrical Resistivity of Graphene Oxide/Cement Composites Considering the Effects of Specimen Size and Measurement Method
The prediction of electrical resistivity of graphene oxide (GO) reinforced cement composites
(GORCCs) is essential to promote the application of the composites in civil engineering …
(GORCCs) is essential to promote the application of the composites in civil engineering …