Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Conclusions and Recommendations
This chapter summarizes the essential findings in this book. Dynamic Image Analysis (DIA) has been increasingly used for geotechnical engineering research. The method offers several advantages for studying sand granulometryGranulometry, including speed, requiring small specimen sizes, and providing a voluminous data setDataset that is suitable for statistical analyses and trainingTrainartificial intelligenceArtificial intelligence (AI)modelsModel. The work examined the efficacy of both 2D and 3D DIA for characterizingCharacterisationparticle granulometryGranulometry, in comparison to dataDataacquired usingTomographymicro computed tomographyMicro computed tomography (µCT) (µCT). It also provided a comprehensive datasetDataset comprising particle size and shape descriptors of 30 sands, along with their statistical fitting coefficientsCoefficient. A decision treeTree for selecting the best technology to carry out granulometryGranulometry measurements is provided in this chapter. The book also examined use of DIA for sand classification using machineMachinelearningLearn. Finally, this chapter also includes some practical considerations for utilizing DIA in geotechnical and geologicalGeologic research, as well as recommendations for future research and potential applications of DIA.
Conclusions and Recommendations
This chapter summarizes the essential findings in this book. Dynamic Image Analysis (DIA) has been increasingly used for geotechnical engineering research. The method offers several advantages for studying sand granulometryGranulometry, including speed, requiring small specimen sizes, and providing a voluminous data setDataset that is suitable for statistical analyses and trainingTrainartificial intelligenceArtificial intelligence (AI)modelsModel. The work examined the efficacy of both 2D and 3D DIA for characterizingCharacterisationparticle granulometryGranulometry, in comparison to dataDataacquired usingTomographymicro computed tomographyMicro computed tomography (µCT) (µCT). It also provided a comprehensive datasetDataset comprising particle size and shape descriptors of 30 sands, along with their statistical fitting coefficientsCoefficient. A decision treeTree for selecting the best technology to carry out granulometryGranulometry measurements is provided in this chapter. The book also examined use of DIA for sand classification using machineMachinelearningLearn. Finally, this chapter also includes some practical considerations for utilizing DIA in geotechnical and geologicalGeologic research, as well as recommendations for future research and potential applications of DIA.
Conclusions and Recommendations
Springer Ser.Geomech.,Geoengineer.
Iskander, Magued (Autor:in) / Li, Linzhu (Autor:in)
19.05.2024
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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