Daniella Escribano Leiva, Carlos Kuncar Medina, Gonzalo Montalva
{"title":"Using a smartphone device to quantify particle size and shape descriptors","authors":"Daniella Escribano Leiva, Carlos Kuncar Medina, Gonzalo Montalva","doi":"10.1007/s11440-025-02676-x","DOIUrl":null,"url":null,"abstract":"<div><p>This paper describes a procedure to obtain particle size and shape descriptors through a 2D image processing algorithm using a smartphone device. This open-source tool is automatic and only requires a simple initial calibration of the camera lens, which is described herein. The output of the tool consists of a spreadsheet with particle size and shape descriptors for each grain, as well as their average values for the entire sample. Optical ready-to-use tools such as this one would benefit the geotechnical community due to the strong link between particle morphology and its mechanical properties. As an application, the script was used to obtain particle shape descriptors of a sand with known critical state parameters in order to evaluate them through particle shape predictive models. The results indicate that a minimum of 30 particles per image is enough to obtain a good match with the experimental data. These results highlight the advantages of the tool as a first estimate and as a complement to a full experimental program.\n</p></div>","PeriodicalId":49308,"journal":{"name":"Acta Geotechnica","volume":"20 10","pages":"5277 - 5295"},"PeriodicalIF":5.7000,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Geotechnica","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s11440-025-02676-x","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This paper describes a procedure to obtain particle size and shape descriptors through a 2D image processing algorithm using a smartphone device. This open-source tool is automatic and only requires a simple initial calibration of the camera lens, which is described herein. The output of the tool consists of a spreadsheet with particle size and shape descriptors for each grain, as well as their average values for the entire sample. Optical ready-to-use tools such as this one would benefit the geotechnical community due to the strong link between particle morphology and its mechanical properties. As an application, the script was used to obtain particle shape descriptors of a sand with known critical state parameters in order to evaluate them through particle shape predictive models. The results indicate that a minimum of 30 particles per image is enough to obtain a good match with the experimental data. These results highlight the advantages of the tool as a first estimate and as a complement to a full experimental program.
期刊介绍:
Acta Geotechnica is an international journal devoted to the publication and dissemination of basic and applied research in geoengineering – an interdisciplinary field dealing with geomaterials such as soils and rocks. Coverage emphasizes the interplay between geomechanical models and their engineering applications. The journal presents original research papers on fundamental concepts in geomechanics and their novel applications in geoengineering based on experimental, analytical and/or numerical approaches. The main purpose of the journal is to foster understanding of the fundamental mechanisms behind the phenomena and processes in geomaterials, from kilometer-scale problems as they occur in geoscience, and down to the nano-scale, with their potential impact on geoengineering. The journal strives to report and archive progress in the field in a timely manner, presenting research papers, review articles, short notes and letters to the editors.