Dynamic Image Analysis of Granular Materials: Particle Granulometry for Geotechnical, Material, and Geological Applications

Iskander, Magued, Li, Linzhu

Dynamic Image Analysis of Granular Materials: Particle Granulometry for Geotechnical, Material, and Geological Applications
  • 出版商: Springer
  • 出版日期: 2024-05-19
  • 售價: $6,480
  • 貴賓價: 9.5 折 $6,156
  • 語言: 英文
  • 頁數: 353
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 303147533X
  • ISBN-13: 9783031475337

    • 海外代購書籍(需單獨結帳)

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商品描述

This 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.


商品描述(中文翻譯)

本書探討了動態影像分析（DIA）在砂土顆粒分析中的有效性，並提出了使用DIA進行土壤特性描述的標準，包括測試參數、樣本尺寸、在間隙分級土壤中的效能以及其限制。DIA是一種現代實驗技術，用於基於顆粒的大小、形狀和其他形態特性進行顆粒材料分析和分類。該方法利用高幀率攝像機捕捉經過各種技術運輸和分離的個別砂粒的圖像。

DIA通過分析數千到數百萬個顆粒生成顆粒大小和形狀信息，提供了樣本內顆粒大小和形狀分佈的定量統計描述。該文稿還對2D和3D顆粒大小和形狀描述符進行了全面研究。它證明了在許多砂土中，大小和形狀參數之間沒有相關性，並且形狀描述符可以簡化為四個獨立參數，代表不同尺度下的砂土顆粒分級。此外，還介紹了使用DIA探索兩種複雜的鈣質砂土的沉積歷史。

該文稿介紹了30種代表性砂土的特性，包括大小和形狀參數，並將它們擬合到統計分佈中。研究的土壤包括自然和機器分選的材料，具有規則和不規則形狀的顆粒，以及矽質和鈣質砂土。

使用2D、3D DIA和微型計算機斷層掃描（μCT）比較了砂粒的物理顆粒分級。該研究表明，DIA在3D形狀分析的效率方面具有顯著優勢，同時能夠提供大多數砂土顆粒大小和形狀的適當表示。

最後，該文稿將傳統的岩土工程與計算機視覺和人工智能相結合。利用大小和形狀描述符通過機器學習模型進行砂土分類。這項工作是實現土壤自動機器分類的重要一步，有望實現使用配備高分辨率攝像頭的智能手機進行現場分類。

作者簡介

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).

作者簡介(中文翻譯)

Magued Iskander博士，PE，F.ASCE，是紐約大學（NYU）坦頓工程學院（前身為Polytechnic University/Institute，又稱布魯克林理工學院）的土木工程教授，自2013年起擔任土木與城市工程系主任。Iskander博士擁有亞歷山大大學土木工程學士學位和德克薩斯大學奧斯汀分校土木（岩土）工程博士學位。他在紐約、新澤西和威斯康辛州擁有註冊專業工程師（PE）資格。

Iskander博士是國際知名的岩土工程專家。他撰寫了5本書，編輯了11本書，發表了250多篇論文，其中包括100多篇經過同行評審的期刊文章，涉及基礎工程、透明土壤的實驗模型、顆粒介質的快速滲透、地震土壓力、教學法、離岸岩土工程、城市岩土工程和顆粒粒度測定等領域。

李琳竹博士是布拉德利大學土木與建築工程系的助理教授。李博士在中國西南石油大學獲得石油勘探技術與工程學士學位，並在伊利諾伊理工學院（IIT）獲得岩土工程碩士學位，以及紐約大學（NYU）土木（岩土工程）博士學位。

李博士的研究領域包括動態影像分析（DIA）在顆粒砂粒大小和形狀分析以及透明顆粒介質流動可視化方面的應用。她發表了9篇期刊文章，涉及圖像處理、機器學習和岩土工程中的計算流體力學。她還應邀在各種專業會議和大學進行技術演講。

李博士是美國土木工程師學會（ASCE）的附屬會員。

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