Dynamic Image Analysis of Granular Materials

Magued Iskander, Ph.D., PE, F.ASCE, is a civil engineering professor at New York University (NYU) Tandon School of Engineering (formerly Polytechnic University/Institute, aka. Brooklyn Poly), where he has also served as the Chair of the Civil and Urban Engineering Department since 2013.  Dr. Iskander holds a B.Sc. degree in Civil Engineering from Alexandria University and a Ph.D. degree in Civil (Geotechnical) Engineering from the University of Texas at Austin.  He is a licensed professional engineer (PE) in the States of New York, New Jersey, and Wisconsin. Dr. Iskander is an internationally recognized geotechnical engineering expert.  He authored 5 books, edited 11 books, and published over 250 papers including 100+ refereed journal articles dealing with foundations, experimental modeling with transparent soils, rapid penetration into granular media, seismic earth pressure, pedagogy, offshore geotechnics, urban geotechnology, and particle granulotremetry.Linzhu Li, Ph.D., is an assistant professor at Bradley University, Department of Civil and Construction Engineering. Dr. Li holds a bachelor of Engineering degree in Petroleum Exploration Technology and Engineering from Southwest Petroleum University in China. She received her Master’s degree in Geotechnical Engineering from the Illinois Institute of Technology (IIT) and a Ph.D. Degree in Civil (Geotechnical Engineering) from the New York University (NYU).Dr. Li’s research area includes Application of Dynamic Image Analysis (DIA) for granular sand particle size and shape analysis and Visualization of flow through porous transparent granular materials.  She published 9 journal articles dealing with image processing, machine learning, and computational fluid mechanics in geotechnology.  She also has been invited to make technical presentations at a variety of professional meetings and universities. Dr. Li is an affiliate member of the American Society of Civil Engineers (ASCE).

• Introduction.- Methods for Determining Particle Granulometry.- Particle Size and Shape Descriptors.- Compendium of Size and Shape Statics of Sand.- Best Practices for Conducting 2D DIA.- Comparison of 2D and 3D DIA.- Comparison of 2D/3D DIA and µCT.- Use of DIA for Tracing the Geologic Origin of Two Marine Calcareous Sands.- DIA for Classification of Soils using Machine Learning and Computer Vision.- Conclusions and Recommendations.