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학술논문한국기계가공학회지2020.04 발행KCI 피인용 1

분말에서 발생하는 Washboarding 현상에 대한 이산요소법을 이용한 수치해석적 연구

A Numerical Analysis for the Washboarding Phenomenon on the Top Surface of Fine Powders Using the Discrete Element Method

이승준(금오공과대학교); 박준영(금오공과대학교)

19권 4호, 93~98쪽

초록

Washboarding is a phenomenon in which a wavy shape occurs periodically and naturally on an unpaved roadmade of soil or gravel. This phenomenon causes high-frequency vibration of the traffic traveling on the roadbecause of the height difference of the wave pattern, which may lead to vehicle failure. Consequently, associatedresearch is needed concerning vehicle safety. Therefore, in this study, a numerical simulation was conductedusing the discrete element method, which is often used for powder simulation. In contrast to previous studies,the results of this study demonstrate that washboarding can occur even in an environment of 1.5 m/s or less. However, the amount of washboarding is minimal. The study revealed that washboarding develops over time,such that sufficient development time is required before measurements are taken.

Abstract

Washboarding is a phenomenon in which a wavy shape occurs periodically and naturally on an unpaved roadmade of soil or gravel. This phenomenon causes high-frequency vibration of the traffic traveling on the roadbecause of the height difference of the wave pattern, which may lead to vehicle failure. Consequently, associatedresearch is needed concerning vehicle safety. Therefore, in this study, a numerical simulation was conductedusing the discrete element method, which is often used for powder simulation. In contrast to previous studies,the results of this study demonstrate that washboarding can occur even in an environment of 1.5 m/s or less. However, the amount of washboarding is minimal. The study revealed that washboarding develops over time,such that sufficient development time is required before measurements are taken.

발행기관:
한국기계가공학회
분류:
기계공학

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분말에서 발생하는 Washboarding 현상에 대한 이산요소법을 이용한 수치해석적 연구 | 한국기계가공학회지 2020 | AskLaw | 애스크로 AI