2006
DOI: 10.13031/2013.20477
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Predicting Soil-Rigid Wheel Performance Using Distinct Element Methods

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Cited by 38 publications
(17 citation statements)
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“…The capability of precise and detailed applications of large-scale DEM for interaction analysis was also investigated (11) . There were many reports on performance prediction of a lugged rigid wheel by the originally developed DEM program (12) - (14) or by the commercially available code, PFC2D (15) .…”
Section: Introductionmentioning
confidence: 99%
“…The capability of precise and detailed applications of large-scale DEM for interaction analysis was also investigated (11) . There were many reports on performance prediction of a lugged rigid wheel by the originally developed DEM program (12) - (14) or by the commercially available code, PFC2D (15) .…”
Section: Introductionmentioning
confidence: 99%
“…, FEM (Finite Element Method) [5] , DEM (Discrete Element Method) [6] 등의 방법들이 있다. 경 험적 방법(empirical method)은 원추 관입 시험기(cone penetration test)를 지형에 밀어 넣어 나오는 수치, 원추 지 수 CI (Cone Index)를 기반으로 지형을 모델링 하는 방법이 다 [7,8] .…”
Section: 서 론unclassified
“…And also, driving efficiency of UGVs is predicted to reduce energy consumption while traversing rough terrains. , FEM (Finite Element Method) [5] , DEM (Discrete Element Method) [6] 등의 방법들이 있다. 경…”
mentioning
confidence: 99%
“…Rigorous models capable of relating wheel forces to fundamental soil mechanical properties are comparatively scarce but nevertheless can be found in the literature. These include the analytical and semi-analytical solutions proposed by Marshall (1968), Dagan and Tulin (1969), Collins (1972Collins ( , 1978, Karafiath and Nowatzki (1978), Petryk (1983), Tordesillas and Shi (2000), and Hambleton and Drescher (2009a), as well as the numerical models developed using either finite element or discrete element methods by Yong et al (1978), Liu and Wong (1996), Fervers (2004), Chiroux et al (2005), Shoop et al (2006aShoop et al ( , 2006b, Asaf et al (2006), Drescher (2009a, 2009b), Modenese (2013), Johnson et al (2015), Xiao and Zhang (2016), Ozaki and Kondo (2016) and Nishiyama et al (2016) among others. Alternative mathematical models, developed ad hoc from theoretical considerations or experimental evidence (e.g., Higa et al, 2015) or based on simplifying physical assumptions (e.g., Gray et al, 2016), can also be found in the literature.…”
Section: Introductionmentioning
confidence: 99%