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020 _a9783031475344
_9978-3-031-47534-4
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072 7 _aTEC009150
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082 0 4 _a624.15
_223
100 1 _aIskander, Magued.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aDynamic Image Analysis of Granular Materials
_h[electronic resource] :
_bParticle Granulometry for Geotechnical, Material, and Geological Applications /
_cby Magued Iskander, Linzhu Li.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXVIII, 353 p. 287 illus., 258 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series in Geomechanics and Geoengineering,
_x1866-8763
505 0 _aIntroduction -- 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.
520 _aThis book explores the effectiveness of Dynamic Image Analysis (DIA) in granulometry studies of sand, and presents criteria for soil characterization using DIA, including test parameters, specimen size, efficacy in gap-graded soils, and its limitations. DIA is a modern experimental technique used to analyze and classify particulate materials based on their size, shape, and other morphological properties. This method employs a high-frame-rate camera to capture images of individual sand particles, which have been transported and separated using various techniques. DIA generates both particle size and shape information by analyzing thousands to millions of particles, providing a quantitative statistical description of grain size and shape distribution within the specimen. The manuscript also offers a comprehensive examination of 2D and 3D particle size and shape descriptors. It demonstrates 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 sands is presented. The manuscript presents the properties of 30 representative sands, including size and shape parameters, and fits them to statistical distributions. The investigated soils encompass both natural and machine-sorted materials, particles with regular and irregular shapes, as well as siliceous and calcareous sands. Physical granulometry of sand particles is compared using 2D, 3D DIA, and micro-computed tomography (μCT). The work demonstrates that DIA offers significant advantages in terms of efficiency for 3D shape analysis while providing an adequate representation of particle sizes and shapes of most sands. Finally, the manuscript integrates classical geotechnical engineering with computer vision and artificial intelligence. Size and shape descriptors are utilized for sand classification through machine learning models. This work represents a crucial step toward the automatic machine classification of soils, potentially enabling on-site classification using smartphones equipped with high-resolution cameras.
541 _fUABC ;
_cPerpetuidad
650 0 _aEngineering geology.
650 0 _aGeotechnical engineering.
650 0 _aSoft condensed matter.
650 0 _aSignal processing.
650 1 4 _aGeoengineering.
650 2 4 _aGeotechnical Engineering and Applied Earth Sciences.
650 2 4 _aSoft and Granular Matter.
650 2 4 _aDigital and Analog Signal Processing.
700 1 _aLi, Linzhu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031475337
776 0 8 _iPrinted edition:
_z9783031475351
776 0 8 _iPrinted edition:
_z9783031475368
830 0 _aSpringer Series in Geomechanics and Geoengineering,
_x1866-8763
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-47534-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c275061
_d275060