scholarly journals FATIGUE FAILURE LIFE PREDICTION METHOD OF ASPHALT PAVEMENT

2008 ◽  
Vol 64 (3) ◽  
pp. 416-426
Author(s):  
Kimio MARUYAMA ◽  
Jun TAKO ◽  
Atsushi KASAHARA
Keyword(s):  
Fatigue Failure ◽  
Life Prediction ◽  
Asphalt Pavement ◽  
Prediction Method ◽  
Failure Life

Prediction of Ball Fatigue Life in a Ball/V-Ring Test Rig

1997 ◽  
Vol 119 (3) ◽  
pp. 365-370 ◽  
Author(s):  
T. A. Harris
Keyword(s):  
Fatigue Life ◽  
Fatigue Failure ◽  
Life Prediction ◽  
Prediction Method ◽  
Ring Test ◽  
Ball Bearings ◽  
Test Rig ◽  
Material Life ◽  
Endurance Testing ◽  
Fatigue Endurance

Standard load and life ratings of ball bearings are based on fatigue failure of the bearing inner and outer raceway surfaces. The rating equations are derived from the mathematical and experimental work of Gustav Lundberg and Arvid Palmgren conducted in Sweden during the 1930s and 1940s; they considered the occurrence of subsurface-initiated, ball fatigue failure highly improbable. In modern ball bearings, this phenomenon occurs occasionally, creating the need for a life prediction means. Ball/v-ring rig fatigue endurance testing is a currently used method to screen ball materials and processing methods, particularly for aircraft applications. As a first step toward predicting ball fatigue life in bearings, the Lundberg-Palmgren and Ioannides-Harris life prediction methods were applied to ball/v-ring test data. The latter method predicted ball fatigue lives which correlated well with the measured ball lives. The Lundberg-Palmgren life prediction method modified using currently accepted material-life and lubrication-life factors did not yield satisfactory correlation.

scholarly journals Life Prediction Method of Power Battery for New Energy Vehicle

CONVERTER ◽  
2021 ◽  
pp. 635-642
Author(s):  
Guanqiang Ruan, Jinliang Cao, Xing Hu
Keyword(s):  
Life Prediction ◽  
Evaluation Method ◽  
Prediction Method ◽  
Battery Life ◽  
Degradation Data ◽  
Power Battery ◽  
New Energy ◽  
Life Model ◽  
New Energy Vehicle ◽  
Failure Life

Battery life is a key factor restricting the development of new energy vehicle manufacturing industry.Taking a LiMn2O4 power battery as an example, the life prediction method of power battery based on performance degradation data was studied. It is found that the capacity of the battery basically conforms to the decline trajectory of the power function, and the pseudo failure life of the battery is extrapolated by using the decline model. The distribution of pseudo failure life is studied, and the results are consistent with the fitting effect of Weibull distribution. Finally, the reliability of the battery is evaluated based on Weibull life distribution. This paper analyzes the influence of the actual cycle data on the prediction accuracy. The test results show that the life model and reliability evaluation method have high accuracy, and solve the problems of long life evaluation cycle and high cost of power battery.

scholarly journals Fatigue Design of Steel Bridge Deck Asphalt Pavement Based on Nonlinear Damage Accumulation Theory

2021 ◽  
Vol 11 (12) ◽  
pp. 5668
Author(s):  
Xunqian Xu ◽  
Yu Li ◽  
Wei Huang ◽  
Dakai Chen ◽  
Chen Zhang ◽  
...  
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Bridge Deck ◽  
Asphalt Pavement ◽  
Prediction Method ◽  
Fatigue Life Prediction ◽  
Steel Bridge ◽  
Fatigue Design ◽  
Sequence Effects ◽  
Loading Sequence

Based on the nonlinear damage theory, this paper aims to explore the fatigue performance of steel bridge deck asphalt pavement under multistage fatigue load. Manson–Halford cumulative damage model and the modified model were introduced to describe loading sequence effects, and interactions between multiple loads were represented in stress ratio. The fatigue life prediction method of steel bridge deck asphalt pavement was put forward, considering loading sequence effects and load interactions. The fatigue design of steel bridge deck asphalt pavement was investigated with the fatigue life prediction model. The effects of different load levels and loading sequence on the fatigue design parameters stress ratio of steel bridge deck asphalt pavement were studied. The design results were compared with experimental results, and the prediction results were based on traditional Miner’s theory. The analysis results showed that the fatigue life prediction method based on the nonlinear cumulative damage theory can effectively design and analyze the fatigue characteristics of asphalt pavement of steel bridge deck with high accuracy and reliability. The fatigue life prediction model of steel bridge deck asphalt pavement can well reflect loading sequence effects and load interactions. In addition, the design model has relatively few parameters; therefore, it can be applied to practical engineering design.

Hybrid remaining useful life prediction method. A case study on railway D-cables

2021 ◽  
pp. 107746
Author(s):  
Yu Zang ◽  
Wei Shangguan ◽  
Baigen Cai ◽  
Huasheng Wang ◽  
Michael. G. Pecht
Keyword(s):  
Life Prediction ◽  
Prediction Method ◽  
Remaining Useful Life ◽  
Useful Life

Remaining useful life prediction method for machine tools based on meta-action theory

2021 ◽  
pp. 1748006X2110025
Author(s):  
Zongyi Mu ◽  
Yan Ran ◽  
Genbao Zhang ◽  
Hongwei Wang ◽  
Xin Yang
Keyword(s):  
Machine Tools ◽  
Life Prediction ◽  
Action Theory ◽  
Prediction Method ◽  
Operational Reliability ◽  
Remaining Useful Life ◽  
Practical Application ◽  
Dynamic Prediction ◽  
Degradation Model ◽  
Useful Life

Remaining useful life (RUL) is a crucial indictor to measure the performance degradation of machine tools. It directly affects the accuracy of maintenance decision-making, thus affecting operational reliability of machine tools. Currently, most RUL prediction methods are for the parts. However, due to the interaction among the parts, even RUL of all the parts cannot reflect the real RUL of the whole machine. Therefore, an RUL prediction method for the whole machine is needed. To predict RUL of the whole machine, this paper proposes an RUL prediction method with dynamic prediction objects based on meta-action theory. Firstly, machine tools are decomposed into the meta-action unit chains (MUCs) to obtain suitable prediction objects. Secondly, the machining precision unqualified rate (MPUR) control chart is used to conduct an out of control early warning for machine tools’ performance. At last, the Markov model is introduced to determine the prediction objects in next prediction and the Wiener degradation model is established to predict RUL of machine tools. According to the practical application, feasibility and effectiveness of the method is proved.

Micromechanics Method to Evaluate Fatigue Life of Ni-Based Superalloys during Morphological Evolution

2008 ◽  
Vol 385-387 ◽  
pp. 221-224
Author(s):  
Wen Ping Wu ◽  
Ya Fang Guo ◽  
Yue Sheng Wang
Keyword(s):  
Fatigue Life ◽  
Plastic Strain ◽  
Life Prediction ◽  
Morphological Evolution ◽  
Mean Field ◽  
Prediction Method ◽  
Field Method ◽  
External Stress ◽  
Equivalent Inclusion ◽  
Evolution Of Precipitates

A quantitative life prediction method has been proposed to evaluate fatigue life during morphological evolution of precipitates in Ni-based superalloys. The method is essentially based on Eshelby’s equivalent inclusion theory and Mori-Tanaka’s mean field method. The shape stability and life prediction are discussed when the external stress and matrix plastic strain are applied. The calculated results show that the fatigue life is closely related with microstructures evolution of precipitates. The magnitude and sign of the external stress and matrix plastic strain have an important effect on fatigue life of Ni-based superalloys during the morphological evolution of precipitates.

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