• 제목/요약/키워드: properties prediction

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공간적으로 보강된 복합재의 기계적 물성치 예측 (Prediction of Mechanical Properties for Spatially Reinforced Composites)

  • 유재석;김천곤;홍창선;김광수
    • 한국복합재료학회:학술대회논문집
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    • 한국복합재료학회 2000년도 추계학술발표대회 논문집
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    • pp.177-182
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    • 2000
  • This paper predicted the equivalent stiffness of spatially reinforced composites (SRC) using the volume average of a fiber rod and matrix stiffness, and the strength of SRC using the stiffness reduction and the modified Tsai-Wu composite failure theory. Those equivalent engineering constants are used to analyze the mechanical behavior and the failure of SRC structures. Because the distribution of equivalent engineering constants is varying with the change in SRC shape, we made a program that predicts engineering constants of SRC. Both 3-D and 4-D SRC show the smallest tensile modulus and the largest shear modulus at the maximum rotated direction from each rod. Also the strength properties show the same tendency.

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구동륜(驅動輪)의 성능예측(性能豫測)에 적합한 토양변수(土壤變數)의 차원해석(次元解析)을 위한 차륜(車輪)-토양(土壤) 시스템의 상사성(相似性) 연구(硏究)(I) -견인력(牽引力) 예측(豫測) 분석(分析)- (A Similitude Study of Soil-Wheel System for Identifying the Dimension of Pertinent Soil Parameter(I) -Pull Prediction Analysis-)

  • 이규승;정창주
    • Journal of Biosystems Engineering
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    • 제14권2호
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    • pp.67-79
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    • 1989
  • This study was conducted to investigate the applicability of true model theory for pull prediction in a powered lugged wheel-soil system and to examine the possibility of using principles of similitude in investigating the dimensions of soil parameters pertinent to a powered lugged wheel-soil system concerning the pull prediction. The following conclusions were derived from the study; 1) The pull of prototype wheels proved to be predicted by those of the model wheels for the range of the dynamic weight tested. The pull curves of models and prototype were respectively very similar in the shape. From this basic knowledge, it was enabled to apply the similitude theory to the performance prediction of the true model. 2) A conditional equation which can be used for the prediction of pull of prototype by model test was derived as follows. $n_f=n_1^{-b}$ where $n_f$ : force scale = $w/w_m$ $n_1$ : length scale = ${\ell}/{\ell}_m$ b : exponent on the length dimension of the soil property ${\alpha}$ The range of the numerical value of b, which was determined by the least square method, was found to be -2.0~-2.6. 3) Considering a relatively wide variation of b values in the pull prediction, b is considered to be a function of many variales. Thus it was concluded that there are several soil properties which are pertinent to the powered lugged-wheel-soil system concerning the pull prediction, and these soil properties may have the different effects on the pull of model and protytype wheels, to give the different dimension on the soil parameters.

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국내 고속도로 교통소음 예측모델에 대한 비교 연구 (A Study on Comparison of Highway Traffic Noise Prediction Models using in Korea)

  • 김철환;장태순;이기정;강희만
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 추계학술대회논문집
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    • pp.101-104
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    • 2007
  • All of noise prediction model have it's own features in the case of modeling conditions, so it is very important to know the features of each model case by case for a proper modeling, especially using at the Environmental Impact Assessment. For prediction of highway traffic noise and abating the noise by barriers, two kinds of prediction model, HW-NOISE, KHTN(Korea Highway Traffic Noise) has been mainly used in Korea. In this study, the features of these models were described at the same conditions. The properties of sound power from a road, diffraction characteristics from a barrier, sound pressure level decaying in each model were investigated. Using the results, it will be anticipated that the proper using of prediction models in the works of highway noise abating.

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콘크리트의 재료역학적 성질에 대한 양생온도와 재령의 효과(II) -예측 모델식을 중심으로- (Effect of Curing Temperature and Aging on the Mechanical Properties of Concrete (II) -Evaluation of Prediction Models-)

  • 한상훈;김진근;양은익
    • 콘크리트학회논문집
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    • 제12권6호
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    • pp.35-42
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    • 2000
  • In paper I, the relationships between compressive strength and splitting tensile strength or modulus of elasticity were proposed. In this paper, new prediction model is investigated from estimating splitting tensile strength and modulus of elasticity with curing temperature and aging without compressive strength. New prediction model is based on the model which was proposed to predict compressive strength, and splitting tensile strength and modulus of elasticity calculated by this model are compared with experimental values of paper I. To evaluate in-situ applicability of the model, strength and modulus of elasticity tested with variable temperatures are estimated by the prediction model. The prediction model reasonably estimates the strength and the modulus of elasticity of type I and V cement concretes tested in paper I and experimental results with variable temperature tested in this paper.

냉장고 압축기용 고무마운트 수명예측에 관한 연구 (A Study on the Lifetime Prediction of Rubber Mount for Refrigerator Component)

  • 우창수;박현성
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제6권2호
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    • pp.135-150
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    • 2006
  • Rubber material properties and lifetime evaluation are very important in design procedure to assure the safety and reliability of the rubber components. This paper discusses the failure mechanism and material tests were carried out to predict the useful lifetime of NBR and EPDM for compression motor, which is used in refrigerator component. The heat-aging process leads not only to mechanical properties change but also to chemical structure change so called degradation. In order to investigate the aging effects on the material properties, the accelerated test were carried out. The stress-strain curves were plotted from the results of the tensile test for virgin and heat-aged rubber specimens. The rubber specimens were heat-aged in an oven at the temperature ranging from $70^{\circ}C\;to\;100^{\circ}C$ for a period ranging from 1 to 180 days. Compression set results changes as the threshold are used for assessment of the useful life and time to threshold value were plotted against reciprocal of absolute temperature to give the Arrhenius plot. By using the compression set test, several useful lifetime prediction equations for rubber material were proposed.

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음향방출법에 의한 항공기용 가스터빈 재료의 크리프 수명예측 평가 (Evaluation on Creep Life Prediction of Aircraft Gas Turbine Material by AE)

  • 공유식;윤한기;오세규
    • 동력기계공학회지
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    • 제6권1호
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    • pp.55-60
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    • 2002
  • There has been no report on the life prediction for gas turbine materials at high temperatures based on the creep properties and their relationship with the AE(acoustic emission) properties as a means of real-time non-destructive testing. One of the important issues is thus to develop a reliable method of evaluating creep properties by the AE technique. In this paper, the real-time evaluation of high temperature creep time and AE cumulative counts for nickel-based superalloy Udimet 720 was performed on round-bar type specimens under pure load at the temperatures of 811, 922 and 977K. The total AE cumulative counts until the starting point of secondary creep($N_1$) and that of tertiary creep($N_2$) have quantitative relationship with the tertiary creep time and the rupture time. It is thus possible to construct the life prediction system based on creep and the prevention system of tertiary creep by using AE technique.

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콘크리트 중성화 진행의 예측 (Prediction of Carbonation Process in Concrete)

  • 고경택;김성욱;김도겸;조명석;송영철
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 1999년도 학회창립 10주년 기념 1999년도 가을 학술발표회 논문집
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    • pp.767-770
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    • 1999
  • The carbonation process is affected both by the concrete material properties such as W/C ratio, types of cement and aggregated, admixture characteristics and the environmental factors such as CO2 concentration, temperature, humidity. Based on results of preliminary research on carbonation, this study is to propose a carbonation prediction model by taking into account of prediction model by taking into account of CO2 concentration and W/C ratio among major factors affecting the carbonation process.

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불량탄 안전사고 예방을 위한 탄약 수명 예측 연구 리뷰 (A Review on Ammunition Shelf-life Prediction Research for Preventing Accidents Caused by Defective Ammunition)

  • 정영진;홍지수;김솔잎;강성우
    • 대한안전경영과학회지
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    • 제26권1호
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    • pp.39-44
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    • 2024
  • In order to prevent accidents via defective ammunition, this paper analyzes recent research on ammunition life prediction methodology. This workanalyzes current shelf-life prediction approaches by comparing the pros and cons of physical modeling, accelerated testing, and statistical analysis-based prediction techniques. Physical modeling-based prediction demonstrates its usefulness in understanding the physical properties and interactions of ammunition. Accelerated testing-based prediction is useful in quickly verifying the reliability and safety of ammunition. Additionally, statistical analysis-based prediction is emphasized for its ability to make decisions based on data. This paper aims to contribute to the early detection of defective ammunition by analyzing ammunition life prediction methodology hereby reducing defective ammunition accidents. In order to prepare not only Korean domestic war situation but also the international affairs from Eastern Europe and Mid East countries, it is very important to enhance the stability of organizations using ammunition and reduce costs of potential accidents.

Compressive strength prediction of limestone filler concrete using artificial neural networks

  • Ayat, Hocine;Kellouche, Yasmina;Ghrici, Mohamed;Boukhatem, Bakhta
    • Advances in Computational Design
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    • 제3권3호
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    • pp.289-302
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    • 2018
  • The use of optimum content of supplementary cementing materials (SCMs) such as limestone filler (LF) to blend with Portland cement has been resulted in many environmental and technical advantages, such as increase in physical properties, enhancement of sustainability in concrete industry and reducing $CO_2$ emission are well known. Artificial neural networks (ANNs) have been already applied in civil engineering to solve a wide variety of problems such as the prediction of concrete compressive strength. The feed forward back propagation (FFBP) algorithm and Tan-sigmoid transfer function were used for the ANNs training in this study. The training, testing and validation of data during the backpropagation training process yielded good correlations exceeding 97%. A parametric study was conducted to study the sensitivity of the developed model to certain essential parameters affecting the compressive strength of concrete. The effects and benefits of limestone filler on hardened properties of the concrete such as compressive strength were well established endorsing previous results in the literature. The results of this study revealed that the proposed ANNs model showed a high performance as a feasible and highly efficient tool for simulating the LF concrete compressive strength prediction.

Energy Ratio Factor and Phase Angle Based Fatigue Prediction Model for Flexible Pavements

  • Kim, Nak-Seok
    • 한국방재학회 논문집
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    • 제11권2호
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    • pp.75-80
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    • 2011
  • 본 연구의 주목적은 에너지 비율 인자와 위상각을 이용한 연성포장의 피로예측 모델을 개발하는 것이다. 본 연구에서 도입된 에너지 비율 인자와 위상각은 점탄성 재료의 기본적인 성질을 반영하기 위하여 사용되었다. 에너지 비율 인자는 가상 방출 에너지와 시험 중 파괴시 까지의 누적 방출 에너지의 비로 정의된다. 위상각은 아스팔트 혼합물의 응력과 변형률의 차이로부터 발생한다. 아스팔트 콘크리트 혼합물의 실험결과를 이용하여 위상각이 측정 되었으며 초기 stiffness와 초기 위상각의 관계가 제시 되었다. 본 연구 결과 아스팔트 콘크리트 혼합물의 점탄성 재료라는 고유한 성질을 반영할 수 있는 에너지 비율 인자와 위상각을 활용한 연성포장용 피로 예측 모델이 제안되었다.