• Title, Summary, Keyword: 피로도 분석모델

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A Basic Study on the Fatigue Analysis Model for Marine Officers (항해사의 피로도 분석모델에 관한 기초연구)

  • Yang, Won-Jae
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.15 no.3
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    • pp.217-222
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    • 2009
  • Safe navigation is closely related to the fatigue of marine officers. Also, the fatigue of duty officer can cause serious marine accidents. In this study, the documentary survey about the marine officers' working environments, fatigue factors and symptoms was conducted. And the questionnaire survey which is related to the fatigue analysis factors such as sleepiness, mental physical workload and alcohol for apprentice officers was carried out, and the results of questionnaire survey were analyzed. Lastly, on the basis of this study, the fatigue analysis model was suggested in order to assess the marine officers' performance in the future.

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A Study on the Fatigue Assessment Model for Ship's Officers (항해사의 피로도 평가모델에 관한 연구)

  • Yang, Won-Jae;Keum, Jong-Soo
    • Proceedings of KOSOMES biannual meeting
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    • pp.1-6
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    • 2006
  • 해상에서 선박을 운항하는 항해사의 피로도 (Fatigue) 는 안전항해와 매우 밀접한 관계를 가지고 있으며 당직근무 중에 피로가 누적되어 업무수행능력이 저하되면 선박의 충돌 및 좌초 둥과 같은 매우 위험하고 중대한 해양사고를 유발할 가능성이 높아지게 된다. 따라서 본 연구에서는 항해사의 근무환경, 피로유발요인 및 피로증세 등에 대하여 조사하였고, 항해경험자를 대상으로 정신적 육체적인 작업부하도에 대한 피로도 평가관련 설문조사를 실시하고 그 결과를 분석하였다. 그리고 이와 같은 피로도 조사 및 설문조사 분석결과를 바탕으로 항해사의 피로도 평가항목을 선정하고 이를 토대로 항해사의 업무수행능력을 평가하기 위한 피로도 평가모델을 제시하였다.

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근육 피로도 분석시 사용되는 매개변수들간의 민감도 비교 연구

  • 정명철;김정룡
    • Proceedings of the ESK Conference
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    • pp.406-413
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    • 1997
  • 근전도(EMG:Electromyogram)를 사용하여 국부 근육 피로(Localized Muscle Fatigue)를 정량화으로 분석 하기 위해 널리 이용되고 있는 AR(Autoregressive)모델의 1차 계수, RMS(Root Mean Square), ZCR(Zero Crossing Rate), MPF(Mean Power Frequency), MF(Median Frequency)를 선택하여, 근육이 발휘하는 힘과 시간의 흐름에 따라 근육 피로의 정도를 민감하게 나타내는 매개변수를 규명하였다. 피실험자 10명의 좌우 척추세움근(Erector Spinae Muscle)을 대상으로 등장수축(Sustained Isometric Contraction)조건에서 허리의 신전(Extension)운동을 실시하였다. 이때 발휘해야 하는 힘의 수준은 15%, 30%, 45%, 60%, 75% MVC 로 정하였고 각 수준마다 20초 동안 근전도를 측정하 였다. 데이터 분석은 총20초 구간의 근전도를 0.5초 간격으로 나누어 매개변수들을 각각 구하고 분석을 실시하였다. 시간의 흐름에 대한 피로도 분석 결과, AR 모델의 1차 계수와 MPF가 유의한 차이를 보였으며, 낮은 수준의 %MVC에서는 AR 계수가, 높은 수준에서는 MPF가 민감한 반응 결과를 나타냈다. 그리고 근육이 발휘하는 힘의 정도를 분석하기 위해 주로 사용되고 있는 RMS 보다는 더 AR 계수가 모든 수준에서 뚜렷하게 차이를 보인 것이 확인되었다. 따라서 AR 모델의 1차 계수가 근육의 피로 정도와 힘의 수준을 다른 매개변수에 비해 더욱 민감하게 구별함이 입증되었다. 이러한 결과는 다른 분야에서도 근육 피로를 정량적으로 측정하는데 사용될 수 있을 것으로 생각되며, 개인적 변이도를 고려한 확률 기법을 사용한다면 보다 정확한 근전도 분석이 이루어질 것으로 기대된다.있음을 알 수 있었다. 사료된다.의 결과는 자전거 에르고노미터의 결과가 트레드밀의 결과에 87.60%정도 나타났다.음을 관찰하였다. 특히 vitamin C와 E의 병용투여는 상승적으로 적용하여 간세포손상을 더욱 억제시킴을 알 수 있었다.mance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness is not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI (Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and f[ are signif

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A Study on the Fatigue Analysis of Glass Fiber Reinforced Plastics with Linear and Nonlinear Multi-Scale Material Modeling (선형과 비선형 다중 스케일 재료 모델링을 활용한 유리섬유 강화 플라스틱의 피로해석 연구)

  • Kim, Young-Man;Kim, Yong-Hwan
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.33 no.2
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    • pp.81-93
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    • 2020
  • The fatigue characteristics of glass fiber reinforced plastic (GFRP) composites were studied under repeated loads using the finite element method (FEM). To realize the material characteristics of GFRP composites, Digimat, a mean-field homogenization tool, was employed. Additionally, the micro-structures and material models of GFRP composites were defined with it to predict the fatigue behavior of composites more realistically. Specifically, the fatigue characteristics of polybutylene terephthalate with short fiber fractions of 30wt% were investigated with respect to fiber orientation, stress ratio, and thickness. The injection analysis was conducted using Moldflow software to obtain the information on fiber orientations. It was mapped over FEM concerned with fatigue specimens. LS-DYNA, a typical finite element commercial software, was used in the coupled analysis of Digimat to calculate the stress amplitude of composites. FEMFAT software consisting of various numerical material models was used to predict the fatigue life. The results of coupled analysis of linear and nonlinear material models of Digimat were analyzed to identify the fatigue characteristics of GFRP composites using FEMFAT. Neuber's rule was applied to the linear material model to analyze the fatigue behavior in LCF regimen. Additionally, to evaluate the morphological and mechanical structure of GFRP composites, the coupled and fatigue analysis were conducted in terms of thickness.

Study on Fatigue Analysis of DCB structure using FEM (FEM을 이용한 DCB 구조체의 피로 해석에 관한 연구)

  • Choi, Hae-Kyu;Kim, Sei-Hwan;Cho, Jae-Ung
    • Proceedings of the KAIS Fall Conference
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    • pp.785-788
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    • 2012
  • 본 논문에서는 접착제로 접합된 DCB 구조체의 피로 해석을 수행하였다. 두께가 25및 40 mm인 두 모델들의 피로수명과 피로손상의 해석 결과를 비교해보면, 두께 25 mm인 모델이 두께 40 mm인 모델에 비하여 수명과 손상이 불리한 것으로 나타났으며 불규칙 피로하중에서는 'SAE transmission'에서 가장 불리한 값을 나타냈다. 또한 'SAE transmission'에서 가장 안정한 경향을 보이고 있고 상대적인 손상으로서 약 1.1에서 1.8 % 정도로 가장 작은 것으로 나타났다. 본 연구에서 얻어진 해석 결과를 접착제로 접합된 실제 복합재 구조물에 적용시켜 피로거동을 분석하고 그 기계적인 특성을 파악할 수 있다.

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Development of Pavement Distress Prediction Models Using DataPave Program (DataPave 프로그램을 이용한 포장파손예측모델개발)

  • Jin, Myung-Sub;Yoon, Seok-Joon
    • International Journal of Highway Engineering
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    • v.4 no.2
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    • pp.9-18
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    • 2002
  • The main distresses that influence pavement performance are rutting, fatigue cracking, and longitudinal roughness. Thus, it is important to analyze the factors that affect these three distresses, and to develop prediction models. In this paper, three distress prediction models were developed using DataPave program which stores data from a wide variety of pavement sections In the United States. Also, sensitivity studies were conducted to evaluate how the input variables impact on the distresses. The result of sensitivity study for the prediction model of rutting showed that asphalt content, air void, and optimum moisture content of subgrade were the major factors that affect rutting. The output of sensitivity study for the prediction model of fatigue cracking revealed that asphalt consistency, asphalt content, and air void were the most influential variables. The prediction model of longitudinal roughness indicated asphalt consistency, #200 passing percent of subgrade aggregate, and asphalt content were the factors that affect longitudinal roughness.

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A Study on Statistical Characteristics of Fatigue Life of Carbon Fiber Composite (탄소섬유 복합재 피로수명의 통계적 특성 연구)

  • Joo, Young-Sik;Lee, Won-Jun;Seo, Bo-Hwi;Lim, Seung-Gyu
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.47 no.1
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    • pp.35-40
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    • 2019
  • The objective of this paper is to identify the fatigue properties of carbon-fiber composite which is widely applied for the development of aircraft structures and obtain data for full-scale fatigue test. The durability and damage tolerance evaluation of composite structures is achieved by fatigue tests and parameters such as fatigue life factor and load enhancement factor. The specimens are made with carbon-fiber/epoxy UD tape and fabric prepreg. Fatigue tests are performed with several stress ratios and lay-up patterns. The Weibull shape parameters are analyzed by Sendeckyj model and individual fatigue lives with Weibull distribution. And the fatigue life factor and load enhancement factor considering reliability are evaluated.

Expectation of the Fatigue Life at the Truss Bridge Including Improper Welding (불량용접을 갖는 트러스교의 피로수명)

  • Bang, Myung-Seok
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.3 no.4
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    • pp.191-198
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    • 1999
  • 수많은 판형부재로 구성된 대형 트러스교에서는 불량용접된 부재가 존재할 수 있으며, 이는 교량의 피로수명에 결정적인 영향을 줄 수 있다. 이러한 교량에서 용접불량부를 조사하고 부재단면중 용접불량을 고려한 유효단면을 가정하여 피로수명을 예측하는 방법에 대하여 연구하였다. 이를 위하여 피로수명에 영향을 미치는 교통량을 분석하고 차량모델을 가정하여 유효등가응력을 산정하였으며 모형피로시험에서 구한 응력-반복횟수곡선을 이용하여 피로수명을 예측하였다. 본 연구에서 사용된 분석기법은 불량용접부와 교통량이 강교량의 피로수명에 미치는 영향을 예측하는데 매우 유용함을 알 수 있다.

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Analysis on Correlation between AE Parameters and Stress Intensity Factor using Principal Component Regression and Artificial Neural Network (주성분 회귀분석 및 인공신경망을 이용한 AE변수와 응력확대계수와의 상관관계 해석)

  • Kim, Ki-Bok;Yoon, Dong-Jin;Jeong, Jung-Chae;Park, Phi-Iip;Lee, Seung-Seok
    • Journal of the Korean Society for Nondestructive Testing
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    • v.21 no.1
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    • pp.80-90
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    • 2001
  • The aim of this study is to develop the methodology which enables to identify the mechanical properties of element such as stress intensity factor by using the AE parameters. Considering the multivariate and nonlinear properties of AE parameters such as ringdown count, rise time, energy, event duration and peak amplitude from fatigue cracks of machine element the principal component regression(PCR) and artificial neural network(ANN) models for the estimation of stress intensity factor were developed and validated. The AE parameters were found to be very significant to estimate the stress intensity factor. Since the statistical values including correlation coefficients, standard mr of calibration, standard error of prediction and bias were stable, the PCR and ANN models for stress intensity factor were very robust. The performance of ANN model for unknown data of stress intensity factor was better than that of PCR model.

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Experimental Fatigue Characteristics of Composite Bridge Deck of Hollow Section (중공단면 복합소재 교량 바닥판의 실험적 피로특성 분석)

  • Lee, Sung-Woo;Hong, Kee-Jeung
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.19 no.4
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    • pp.337-345
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    • 2006
  • In this study, to evaluate fatigue characteristics of developed composite bridge deck, compression fatigue test at girder support and flexural fatigue test for the 2.8m-long flexural test model were carried out. For the test specimen, DB 24 truck load was applied up to 2,000,000 cycles. In the compression fatigue test, behavior at deck tube and its bonded connection were evaluated. In the flexural fatigue test, deck behavior at mid-span and girder connection were evaluated.