• 콘크리트학회논문집
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• 제28권4호
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• pp.455-462
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• 2016

본 실험적 연구는 고속 비상체 충돌 시 UHPC 외장재의 내충격성을 파악하는데 그 목적이 있다. 이 연구에서는 두께를 주요 변수로 UHPC과 화강암 패널 실험체에 고속충격을 가하여 실험체의 성능을 비교하였으며, 배면의 변형률을 기록하였다. UHPC는 외관이 우수하였으며, 내충격성도 화강암에 비해 우수하여 외장재로 사용하기에 적당하다고 판단된다. 비상체가 시험체에 충돌한 후 압축파가 배면에 도달하고 그 후 자유단 지점을 중심으로 인장파가 발생하여서 배면파괴를 일으킨 것으로 사료된다. 이러한 배면파괴 발생 메커니즘은 변형률 기록이 압축파구간, 보합구간, 인장구간으로 나누어지는 것을 통해 알 수 있다. 관통파괴 형태를 살펴보면 고속 충돌 시 전단력이 배면에 작용하여 파괴가 발생되는 shear plug 현상이 나타난 것으로 판단된다. 즉 충격하중에 대하여 배면의 파괴는 전단력과 인장응력에 의해 동시에 영향을 끼쳐 발생한 것으로 사료된다.

• 한국기계가공학회지
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• 제20권1호
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• pp.116-124
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• 2021

In this study, the reliability of vehicle frames employed in small electric road sweepers was assessed through durability testing. The frames were tested under three conditions, whereby mechanical loads were applied to (1) the entire frame, (2) the front frame, and (3) the rear frame. The strain distributions in the loaded frames were determined through a combination of direct strain gauge measurements and supplementary numerical analysis. While subtle differences were observed between the experimental and numerical analyses, both methods successfully yielded comparable deformation patterns. Thus, the dependence of stress distribution and the state of the frame on loading conditions could be fully identified through our combined structural and numerical analysis.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.690-693
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• 2005

In this paper, probabilistic distribution of fatigue life of chassis component is determined statistically by applying the design of experiments and the Pearson system. To construct $p-\varepsilon-N$ curve, the case that fatigue data are random variables is attempted. Probabilistic density function(p.d.f) for fatigue life is obtained by design of experiment and using this p.d.f fatigue reliability about any aimed fatigue life can be calculated. Lower control arm and rear torsion bar of chassis component are selected as examples for analysis. Component load histories, which are obtained by multi-body dynamic simulation for Belsian load history, are used. Finite element analysis are performed using commercial software MSC Nastran and fatigue analysis are performed using FE Fatigue. When strain-life curve itself is random variable, probability density function of fatigue life has very little difference from log-normal distribution. And the case of fatigue data are random variables, probability density functions are approximated to Beta distribution. Each p.d.f is verified by Monte-Carlo simulation.

• 한국정밀공학회지
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• 제24권2호
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• pp.110-117
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• 2007

In this paper, probabilistic distribution of chassis component fatigue life is determined statistically by applying the design of experiments and the Pearson system. To construct p - ${\varepsilon}$ - N curve, the case that fatigue data are random variables is attempted. Probabilistic density function (p.d.f) for fatigue life is obtained by the design of experiment and using this p.d.f fatigue reliability, any aimed fatigue life can be calculated. Lower control arm and rear torsion bar of chassis components are selected as examples for analysis. Component load histories which are obtained by multi-body dynamic simulation for Belsian load history are used. Finite element analysis is performed by using commercial software MSC Nastran and fatigue analysis is performed by using FE Fatigue. When strain-life curve itself is random variable, the probability density function of fatigue life has very little difference from log-normal distribution. And the cases of fatigue data are random variables, probability density functions are approximated to Beta distribution. Each p.d.f is verified by Monte-Carlo simulation.