• Title/Summary/Keyword: Prediction of Fatigue Life

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Development of Material Properties Measurement and Fatigue Life Evaluation System (재료물성치 측정 및 피로수명평가 시스템의 개발)

  • 박종주;서상민;최용식;김영진
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.6
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    • pp.1465-1473
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    • 1994
  • This paper describes the development strategy and contents of a fatigue life evaluation system, FLEVA. The system is composed of 4 parts; material properties, load histories, cycle counting and life prediction. The cycle counting is based on the rain-flow counting method and peak counting method, and the life prediction is performed based on the linear damage rule. Material properties(static, fatigue) are also provided as a database obtained by a computer aided test system. Case study is performed to verify the developed program.

The Prediction of Fatigue Life According to the Determination of the Parameter in Residual Strength Degradation Model (잔류강도 저하모델의 파라미터결정법에 따른 피로수명예측)

  • 김도식;김정규
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.8
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    • pp.2053-2061
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    • 1994
  • The static and fatigue tensile tests have been conduted to predict the fatigue life of 8-harness satin woven and plain woven carbon/epoxy composite plates containing a circular hole. A fatigue residual strength degradation model, based on the assumption that the residual strength for unnotched specimen decreases monotonically, has been applied to predict statistically the fatigue life of materials used in this study. To determine the parameters(c, b and K) of the residual strength degradation model, the minimization technique and the maximum likelihood method are used. Agreement of the converted ultimate strength by using the minimization technique with the static ultimate strength is reasonably good. Therefore, the minimization technique is more adjustable in the determination of the parameter and the prediction of the fatigue life than the maximum likelihood method.

The Study on Fatigue Life Prediction under Biaxial Variable Load (이축 변동하중하에서의 피로수명 예측기법에 관한 연구)

  • 오세종;이현우;전제춘
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1993.10a
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    • pp.666-671
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    • 1993
  • Fatigue life prediction under multi-axial variable load were performed for Aluminium 7075-T651 alloy using SAE Notched specimen & Torque tube shaft component specimen. When variable multiaxial load is applied to material, maximum damaged plane(critical plane) change. To clarify the situation, experiment is performed on two different changing load path. For multiaxial fatigue life prediction, miner rule is expanded to critical plane theory. Shear based parameter and Elliptical parameter give better correlation. This suggests that miner rule can be applicable on multi-axial variable load.

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Severity Test of Road Surface Profile by Using the Fatigue Life Prediction Method (피로수명 예측법을 이용한 각 도로가 차량의 내구성에 미치는 가혹도 평가)

  • Jung, W.W.;Kang, S.S.
    • Transactions of the Korean Society of Automotive Engineers
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    • v.3 no.6
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    • pp.154-161
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    • 1995
  • There are several kinds of driving conditions according to the characteristic of each vehicle diver. Automaker produces vehicle strong enough to satisfy this several driving conditions at the point of vehicle durability. In order to develop the car in a short period, Automaker engineer tests vehicle at serveral accelerated durability test roads. Before testing the vehicle durability, test engineer must know how much this test road severe than general field road which is composed of high way, city road, paved road and unpaved road. This paper suggests two types of road severity test method that is using relative fatigue life prediction method and using absolute fatigue life prediction method, and also present the merits and demerits of two test methods.

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The prediction of fatigue life of muffler by artificial neural network (인공신경망을 이용한 머플러의 피로 수명 예측)

  • Park, Soon-Cheol;Kang, Sung-Su;Yoon, Jin-Ho;Kim, Gug-Yong
    • Journal of Advanced Marine Engineering and Technology
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    • v.37 no.8
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    • pp.869-876
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    • 2013
  • In order to estimate the fatigue life of mufflers at the early stage of researches and designs, the new prediction process was developed by the artificial neural network, which has the algorism of weldment properties. Bending fatigue test was carried out for defining the characteristics of muffler weldment fatigue life and damage. For considering and predicting mechanical and fatigue properties of the muffler, the maximum stress of weldment was adapted as the variable of artificial neural network training. Also, it was compared with the fatigue life predicting results using fatigue notch factors, for proving the newly developed process of the artificial neural network.

Investigation of random fatigue life prediction based on artificial neural network

  • Jie Xu;Chongyang Liu;Xingzhi Huang;Yaolei Zhang;Haibo Zhou;Hehuan Lian
    • Steel and Composite Structures
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    • v.46 no.3
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    • pp.435-449
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    • 2023
  • Time domain method and frequency domain method are commonly used in the current fatigue life calculation theory. The time domain method has complicated procedures and needs a large amount of calculation, while the frequency domain method has poor applicability to different materials and different spectrum, and improper selection of spectrum model will lead to large errors. Considering that artificial neural network has strong ability of nonlinear mapping and generalization, this paper applied this technique to random fatigue life prediction, and the effect of average stress was taken into account, thereby achieving more accurate prediction result of random fatigue life.

The Fatigue Cumulative Damage and Life Prediction of GFRP under Random Loading (랜덤하중하의 GFRP의 피로누적손상거동과 피로수명예측)

  • Kim, Jeong-Gyu;Sim, Dong-Seok
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.20 no.12
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    • pp.3892-3898
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    • 1996
  • In this study, the prediction of the fatigue life as well as the extimation of the characteristics of fatigue cumulative damage on GFRP under random loading were performed. The constant amplitude tests and the ramdom loading test were carried on notched GFRP specimens with a circular hole. Random waves were generated with a micro-computer and had wide band spectra. Since it is useful that the prediction of fatigue life ot the given load sequences is based on S-N curves under constant amplitude loading, the estimation of equivalent stress is done on every random waves. The equivalent stress wasat first estimated by Miner's rule and then by the proposed model which was based on Hashin-Rotem's comulative damage theory regarding nonlinear fatigue cumulative damage behavior. The fatigue lives were predicted from each equivalent stress evaluated. And each predicted fatigue llife was compared with experimental results. The number of cycles of random loads were counted by mean-cross counting method. The reuslts showed that the fatigue life predicted by proposed model was correlated well with the experimental results in comparison with Miner's model.

Fatigue Characteristic and Life prediction of Induction Surface Hardened Cr-Mo Steel (고주파 표면열처리된 Cr-Mo강재의 피로특성과 수명예측)

  • 송삼흥;최병호
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.676-679
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    • 1995
  • Practically, induction surface hardening is used widely to enhance the local strength of structure. In this study, Fatigue limit and its S-T characteristic for raw and induction hardened specimen of SCM440 is studied experimentally. The life prediction was considered by Juvinall's equation and its predicted result is compared with experiment.

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Prediction on the fatigue life of butt-welded specimens using artificial neural network

  • Kim, Kyoung Nam;Lee, Seong Haeng;Jung, Kyoung Sup
    • Steel and Composite Structures
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    • v.9 no.6
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    • pp.557-568
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    • 2009
  • Fatigue tests for extremely thick plates require a great deal of manufacturing time and are expensive to perform. Therefore, if predictions could be made through simulation models such as an artificial neural network (ANN), manufacturing time and costs could be greatly reduced. In order to verify the effects of fatigue strength depending on the various factors in SM520C-TMC steels, this study constructed an ANN and conducted the learning process using the parameters of calculated stress concentration factor, thickness and input heat energy, etc. The results showed that the ANN could be applied to the prediction of fatigue life.

Predictions of Fatigue Life of Copper Alloy for Regenerative Cooling Channel of Thrust Chamber (연소기 재생냉각 채널용 구리합금의 피로수명예측)

  • Lee, Keumoh;Ryu, Chulsung;Heo, Seongchan;Choi, Hwanseok
    • Journal of the Korean Society of Propulsion Engineers
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    • v.21 no.6
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    • pp.73-82
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    • 2017
  • Low-cycle thermal fatigue problem resulting from multiple use of a liquid rocket engine has to be considered for the development of a reusable launch vehicle. In this study, life prediction equations suggested by previous researchers were compared as applied to various copper alloy cases to predict fatigue lives from tensile test data. The present study has revealed that among the presently considered life prediction methods, universal slopes method provides the best life prediction result for the copper alloys, and the modified Mitchell's method provides the best life prediction result for oxygen free high conductivity (OFHC) copper.