• 제목/요약/키워드: Durability Life

검색결과 803건 처리시간 0.026초

타이어 벨트 끝단의 피로수명 예측 (Fatigue Life Prediction of Tire Belt Edge)

  • 김재연;양영수;김기운
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2004년도 추계학술대회 논문집
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    • pp.954-957
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    • 2004
  • Tire belt durability is characterized by the initiation of a crack at the belt edge region, and the propagation of the crack until the ply is separated. Experimental methods have been used to analysis of the belt durability in the cord-reinforced rubber composite tires, but it takes much cost and time to make experiments. In this paper, a finite element method to analyze the fatigue life of a crack at the belt edge of tires is presented. The fatigue life is analyzed by using a three-dimensional Finite Element Modeling. This method includes a global-local finite element analysis to provide the detail necessary to model explicitly an internal crack and use of the J-integral for energy release rate evaluation.

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화물차량용 현가계 부품의 피로 수명 예측 (FATIGUE LIFE PREDICTION OF THE PARTS USED IN THE SUSPENSION SYSTEM FOR TRUCKS)

  • 전갑진;박태원;이수호;윤지원;권순기
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회A
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    • pp.1051-1056
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    • 2007
  • The air suspension system is widely used in commercial vehicles such as buses or special purpose trucks because it improves ride better than any other types of suspension. Since the durability of vehicle parts is directly related to the safety, the evaluation of the durability at the design stage is necessary. In this research, the fatigue life of the air suspension frame for trucks is predicted by the modal stress recovery(MSR) method. Using the process proposed in this research, the fatigue life of vehicle parts can be predicted efficiently at the design stage.

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Concrete mix design for service life of RC structures exposed to chloride attack

  • Kwon, Seung-Jun;Kim, Sang-Chel
    • Computers and Concrete
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    • 제10권6호
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    • pp.587-607
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    • 2012
  • The purpose of this research is to propose a design technique of concrete mix proportions satisfying service life through genetic algorithm (GA) and neural network (NN). For this, thirty mix proportions and the related diffusion coefficients in high performance concrete are analyzed and fitness function for diffusion coefficient is obtained considering mix components like w/b (water to binder ratio), cement content, mineral admixture (slag, flay ash and silica fume) content, sand and coarse aggregate content. Through averaging the results of 10 times GA simulations, relative errors to the previous data decrease lower than 5.0% and the simulated mix proportions are verified with the experimental results. Assuming the durability design parameters, intended diffusion coefficient for intended service life is derived and mix proportions satisfying the service life are obtained. Among the mix proportions, the most optimized case which satisfies required concrete strength and the lowest cost is selected through GA algorithm. The proposed technique would be improved with the enhancement of comprehensive data set including wider the range of diffusion coefficients.

Load bearing capacity reduction of concrete structures due to reinforcement corrosion

  • Chen, Hua-Peng;Nepal, Jaya
    • Structural Engineering and Mechanics
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    • 제75권4호
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    • pp.455-464
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    • 2020
  • Reinforcement corrosion is one of the major problems in the durability of reinforced concrete structures exposed to aggressive environments. Deterioration caused by reinforcement corrosion reduces the durability and the safety margin of concrete structures, causing excessive costs in managing these structures safely. This paper aims to investigate the effects of reinforcement corrosion on the load bearing capacity deterioration of the corroded reinforced concrete structures. A new analytical method is proposed to predict the crack growth of cover concrete and evaluate the residual strength of concrete structures with corroded reinforcement failing in bond. The structural performance indicators, such as concrete crack growth and flexural strength deterioration rate, are assumed to be a stochastic process for lifetime distribution modelling of structural performance deterioration over time during the life cycle. The Weibull life evolution model is employed for analysing lifetime reliability and estimating remaining useful life of the corroded concrete structures. The results for the worked example show that the proposed approach can provide a reliable method for lifetime performance assessment of the corroded reinforced concrete structures.

도상자갈의 마모/파쇄 특성 (Breakage Characteristics of Ballast)

  • 정근영;김현기;이종득
    • 한국철도학회논문집
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    • 제2권3호
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    • pp.61-69
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    • 1999
  • The durability of ballast plays an important role in track behaviour. To estimate the deterioration characteristics of ballast, several tests have been carried out by several scholars. The deterioration characteristics is very important factor in the behaviour of track and its life. In this paper, abrasion/breakage characteristics of ballast is studied to see the effect of physical ballast characteristics on ballast life. To reveal breakage characteristics of ballast, the ballast box test and the MTT field test were carried out. The breakage characteristics studied in this paper is applied to the ballast life prediction in various conditions, such as LA abrasion, annual tonnage, tamping number per year, etc

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해상철탑구조물의 수명관리방안 연구 (Study on the Life Cycle Management System of the Marine Transmission Tower Structures)

  • 방기성;송영철;윤덕중;김도겸
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2006년도 춘계 학술발표회 논문집(II)
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    • pp.281-284
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    • 2006
  • The marine Transmission tower infrastructure erected in the SI-HWA lake is deteriorated and damaged by the various environment effect, and then, there is a possibility of going bad in the safety. The appropriate maintenance to ensure the security of the structure during life cycle is necessary. Specially the Jacket or the steel file foundation in the sea is apt to be corroded quickly. In this research, to establish life management system of 345kV Yonghung marine transmission tower structure, the actual durability research facility which can obtain the actual proof data is constructed. the maintenance guideline and procedure of the structure are established. Hereafter, there is a plan which will advance the research against the composition of the life prediction model, which is based on the data acquired from the actual durability research facility.

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자동차 쇽업소버의 피로해석에 관한 연구 (A Study on Fatigue Analysis of Automotive Shock Absorber)

  • 조재웅;한문식
    • 한국공작기계학회논문집
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    • 제17권1호
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    • pp.92-97
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    • 2008
  • The safety and the durability of the shock absorber as an automotive chassis part under the fatigue load can be predicted in this study. The fatigue life becomes constant from 0.5 to 0.75 at the change of load which is the amplitude load divided by average load. But its life is sharply decreased at the change of load from 0.75 to 1.5. The influence of fatigue life according to the change of load can be predicted by these results. As the value of maximum damage is 9.61 at the middle part of upper side on shock absorber under the concentrated load, there is the greatest possibility of destruction at this part. The spring of shock absorber becomes nearly the state of pure shear and the uniaxial or biaxial stress exists at the rest part of it under the fatigue load.

차체 구조물의 피로수명 예측을 위한 컴퓨터 시뮬레이션 방법에 관한 연구 (A Study on Computational Method for Fatigue Life Prediction of Vehicle Structures)

  • 이상범;박태원;박종성;이선병;임홍재
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2000년도 춘계학술대회논문집
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    • pp.1883-1888
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    • 2000
  • In this paper a computer aided analysis method is proposed for durability assessment in the early design stages using dynamic analysis, stress analysis and fatigue life prediction method. From dynamic analysis of a vehicle suspension system, dynamic load time histories of a suspension component are calculated. From the dynamic load time histories and the stress of the suspension component, a dynamic stress time history at the critical location is produced using the superposition principle. Using linear damage law and cycle counting method, fatigue life cycle is calculated. The predicted fatigue life cycle is verified by experimental durability tests.

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신뢰성 해석을 통한 탄산화에 노출된 타설이음부 및 균열부 콘크리트의 내구수명 평가 (A Service Life Prediction for Joint and Cracked Concrete Exposed to Carbonation Based on Stochastic Approach)

  • 권성준;박상순;이상민
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2006년도 추계 학술발표회 논문집
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    • pp.597-600
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    • 2006
  • In this study, field survey of carbonation for RC column in city is carried out and carbonation behavior in sound, joint, and cracked concrete is also analyzed. Futhermore, probability of durability failure with time is calculated through considering probability variables such as concrete cover depth and carbonation depth which are obtained from field survey. The probability of durability failure in cracked concrete with considering crack width and time is also calculated and service life is predicted based on intended failure probability in domestic specification. Through this study, it is known that service life in a RC column is evaluated differently for local conditions and each service life is rapidly decreased with decrease in cover depth and increase in crack width.

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Prediction model of service life for tunnel structures in carbonation environments by genetic programming

  • Gao, Wei;Chen, Dongliang
    • Geomechanics and Engineering
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    • 제18권4호
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    • pp.373-389
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    • 2019
  • It is important to study the problem of durability for tunnel structures. As a main influence on the durability of tunnel structures, carbonation-induced corrosion is studied. For the complicated environment of tunnel structures, based on the data samples from real engineering examples, the intelligent method (genetic programming) is used to construct the service life prediction model of tunnel structures. Based on the model, the prediction of service life for tunnel structures in carbonation environments is studied. Using the data samples from some tunnel engineering examples in China under carbonation environment, the proposed method is verified. In addition, the performance of the proposed prediction model is compared with that of the artificial neural network method. Finally, the effect of two main controlling parameters, the population size and sample size, on the performance of the prediction model by genetic programming is analyzed in detail.