Litcius/Paper detail

Identifying effective AE parameters for damage evaluation of concrete in headwork: a combined cluster and random forest analysis of acoustic emission data

Yuma Shimamoto, Sena Tayfur, Ninel Alver, Tetsuya Suzuki

2022Paddy and Water Environment15 citationsDOI

Topics & Concepts

Acoustic emissionCompressive strengthCluster (spacecraft)Structural engineeringCluster analysisEnvironmental scienceStatisticsMaterials scienceGeotechnical engineeringMathematicsGeologyComposite materialEngineeringComputer scienceProgramming languageRock Mechanics and ModelingGeophysical Methods and ApplicationsUltrasonics and Acoustic Wave Propagation
Identifying effective AE parameters for damage evaluation of concrete in headwork: a combined cluster and random forest analysis of acoustic emission data | Litcius