Parametric sensitivity study of particle shape effect through 3D printing

Yu Feng Su, Bin Zhang, Seung Jae Lee, Beena Sukumaran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Particle morphology is an important index property at the grain scale that governs the macroscopic behavior of granular soils. There have been major research efforts to realistically model the particle shapes to enhance the predictive capabilities in discrete element simulation. However, significant computational cost is generally required due to the geometric complexity of particle shapes. Therefore, considerably simplified particle shapes have been adopted in the simulations, without really understanding the degree of simulation fidelity that is achieved. The aim of this study is to quantify the influence of fidelity in the modeled particle morphology on the simulation fidelity in estimating soil behavior. This paper introduces a systematic approach that develops a shape spectrum of different geometric complexities for morphometric sensitivity study and uses 3D printed synthetic particles to physically simulate the soil behavior while bypassing the use of discrete element simulation due to high computational costs. The initial results on the synthetic particles’ influence on soil behavior will be highlighted and discussed.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th International Conference on Discrete Element Methods
EditorsXikui Li, Yuntian Feng, Graham Mustoe
PublisherSpringer Science and Business Media, LLC
Pages593-600
Number of pages8
ISBN (Print)9789811019258
DOIs
StatePublished - Jan 1 2017
Event7th International Conference on Discrete Element Methods, DEM7 2016 - Dalian, China
Duration: Aug 1 2016Aug 4 2016

Publication series

NameSpringer Proceedings in Physics
Volume188
ISSN (Print)0930-8989
ISSN (Electronic)1867-4941

Other

Other7th International Conference on Discrete Element Methods, DEM7 2016
CountryChina
CityDalian
Period8/1/168/4/16

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

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