Titlebook: Dynamic Image Analysis of Granular Materials; Particle Granulometr Magued Iskander,Linzhu Li Book 2024 The Editor(s) (if applicable) and Th

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Beziehungen zwischen Situationen. In the short term the work will allow engineers to utilize DIA for routine statistical particle granulometry analyses. In the long term it is expected that the voluminous data offered by DIA will provide a foundation for training artificial intelligence models that can be used for automatic particle identification and classification.

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Book 2024tes that there is no correlation between size and shape parameters in many sands and that shape descriptors can be reduced to four independent parameters representing sand granulometry at different scales. Additionally, the use of DIA in exploring the depositional history of two complex calcareous s

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Compendium of Size and Shape Statics of Sand, are also given. The chapter demonstrates that DIA is suitable for characterizing a wide range of soils. In addition, it is believed that the provided information can be employed for a variety of numerical modelling applications.

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Conclusions and Recommendations,ine learning. Finally, this chapter also includes some practical considerations for utilizing DIA in geotechnical and geological research, as well as recommendations for future research and potential applications of DIA.