• Title/Summary/Keyword: 섬유모델

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섬유의 배향밀도함수를 이용한 실의 역학적 거동 예측

  • 전붕수
    • Proceedings of the Korean Fiber Society Conference
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    • 1998.10a
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    • pp.418-421
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    • 1998
  • 실의 역학적 특성은 실을 구성하고 있는 섬유의 역학적 특성은 물론 실의 구조적 특성에 의존한다. 실의 구조적 특성은 구성 섬유의 경로에 따라서 결정이 되는데 지금까지는 주로 이상 나선 구조 모델로 가정한 후 실의 역학적 특성을 고찰하여 왔다[1]. 그러나 실제로 꼬임이 있는 실을 방출할 경우 꼬임을 부여하는 과정에서 구성 섬유들 간에 걸리는 장력의 차이에 의하여 섬유들은 실의 외부에서 내부로 또는 내부에서 외부로 이동하게 된다. (중략)

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Phase Segmentation of PVA Fiber-Reinforced Cementitious Composites Using U-net Deep Learning Approach (U-net 딥러닝 기법을 활용한 PVA 섬유 보강 시멘트 복합체의 섬유 분리)

  • Jeewoo Suh;Tong-Seok Han
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.36 no.5
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    • pp.323-330
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    • 2023
  • The development of an analysis model that reflects the microstructure characteristics of polyvinyl alcohol (PVA) fiber-reinforced cementitious composites, which have a highly complex microstructure, enables synergy between efficient material design and real experiments. PVA fiber orientations are an important factor that influences the mechanical behavior of PVA fiber-reinforced cementitious composites. Owing to the difficulty in distinguishing the gray level value obtained from micro-CT images of PVA fibers from adjacent phases, fiber segmentation is time-consuming work. In this study, a micro-CT test with a voxel size of 0.65 ㎛3 was performed to investigate the three-dimensional distribution of fibers. To segment the fibers and generate training data, histogram, morphology, and gradient-based phase-segmentation methods were used. A U-net model was proposed to segment fibers from micro-CT images of PVA fiber-reinforced cementitious composites. Data augmentation was applied to increase the accuracy of the training, using a total of 1024 images as training data. The performance of the model was evaluated using accuracy, precision, recall, and F1 score. The trained model achieved a high fiber segmentation performance and efficiency, and the approach can be applied to other specimens as well.

Probabilistic Fiber Strength of Composite Pressure Vessel (복합재 압력용기의 확률 섬유 강도)

  • 황태경;홍창선;김천곤
    • Composites Research
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    • v.16 no.6
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    • pp.1-9
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    • 2003
  • In this paper, probabilistic failure analysis based on Weibull distribution function is proposed to predict the fiber strength of composite pressure vessel. And, experimental tests were performed using fiber strand specimens, unidirectional laminate specimens and composite pressure vessels to confirm the volumetric size effect on the fiber strength. As an analytical method, the Weibull weakest link model and the sequential multi-step failure model are considered and mutually compared. The volumetric size effect shows the clearly observed tendency towards fiber strength degradation with increasing stressed volume. Good agreement of fiber strength distribution was shown between test data and predicted results for unidirectional laminate and hoop ply in pressure vessel. The site effect on fiber strength depends on material and processing factors, the reduction of fiber strength due to the stressed volume shows different values according to the variation of material and processing conditions.

심근섬유증의 정도에 따른 심실의 전기역학적 특성 분석

  • Lee, Ji-Yeong;Im, Gi-Mu
    • Proceeding of EDISON Challenge
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    • 2017.03a
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    • pp.653-655
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    • 2017
  • 심근섬유증은 심장에서 전도 장애를 일으키며 심부전증상을 발생시킨다. 심근섬유증으로 인한 심장박동현상의 변화를 확인하기 위해 시뮬레이션 연구를 진행하였다. 심실의 유한요소 모델을 설계하고 무작위로 전도 블록을 생성하여 심근섬유증을 적용하고 그 비율을 조절하였다. 심근섬유증의 비율에 따라 전기생리학적 시뮬레이션을 진행하고 그 결과를 바탕으로 기계 수축 시뮬레이션을 진행하여 심실의 수축 변화를 확인하였다. 심근섬유증의 비율이 증가할수록 좌심실의 압력이 감소하고 박출되는 혈액량과 박출계수, 심장박동의 효율이 감소하였다.

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Realistic Prediction of Post-Cracking Behaviour in Synthetic Fiber Reinforced Concrete Beams (합성섬유보강 콘크리트 보의 균열 후 거동 예측)

  • 오병환;김지철;박대균;원종필
    • Journal of the Korea Concrete Institute
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    • v.14 no.6
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    • pp.900-909
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    • 2002
  • Fibers play a role to increase the tensile strength and cracking resistance of concrete structures. The post cracking behavior must be clarified to predict cracking resistance of fiber reinforced concrete. The purpose of this study is to develop a realistic analysis method for the post cracking behavior of synthetic fiber reinforced concrete members. For this purpose, the cracked section is assumed to behave as a rigid body and the pullout behavior of single fiber is employed. A probabilistic approach is used to calculate effective number of fibers across crack faces. The existing theory is compared with test data and shows good agreement. The proposed theory can be efficiently used to describe the load-deflection behavior, moment-curvature relation, load-crack width relation of synthetic fiber reinforced concrete beams.