Author
Liming Liu
Bio: Liming Liu is an academic researcher from Vanderbilt University. The author has contributed to research in topics: Stress intensity factor & Vibration fatigue. The author has an hindex of 2, co-authored 5 publications receiving 143 citations.
Papers
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TL;DR: In this paper, a three-dimensional elasto-plastic finite element model was used to calculate stress intensity factors in wheels, in which a sub-modeling technique was employed to achieve both computational efficiency and accuracy.
92 citations
TL;DR: A general methodology for fatigue reliability degradation of railroad wheels is proposed in this paper and both fatigue crack initiation and crack propagation life are included in the proposed methodology using previously developed multiaxial fatigue models by the same authors.
58 citations
16 Apr 2007
2 citations
01 Jan 2006
TL;DR: In this paper, a general methodology for fatigue reliability degradation of railroad wheels is proposed, and both fatigue crack initiation and crack propagation life are included in the proposed methodology using previously developed multiaxial fatigue models by the authors.
Abstract: A general methodology for fatigue reliability degradation of railroad wheels is proposed in this paper. Both fatigue crack initiation and crack propagation life are included in the proposed methodology using previously developed multiaxial fatigue models by the authors. A response surface method in conjunction with design of experiments is used to develop a closed form approximation of the fatigue damage accumulation with respect to the input random variables. The total fatigue life of railroad wheels under stochastic loading is simulated, accounting for the spatial and temporal randomness of the fatigue damage. The field observations of railroad wheel fatigue failures are compared with the numerical predictions using the proposed methodology.Copyright © 2006 by ASME
07 Apr 2008
TL;DR: In this article, a new characteristic plane-based model using local stresses near crack tip was proposed to predict the threshold stress intensity factor range and crack growth rate of a central crack in smooth specimen under mixed-mode I+II loading.
Abstract: This paper proposes a new characteristic plane-based model using local stresses near crack tip to predict the threshold stress intensity factor range and crack growth rate of a central crack in smooth specimen under mixed-mode I+II loading. The proposed methodology assumes that the local stress ranges on a characteristic plane, which is determined by external load and material properties, can be correlated with fatigue damage. An equivalent stress intensity factor is proposed based on the Kitagawa diagram for fatigue crack growth prediction. The advantage of the proposed method is that it can automatically adapt for tensile/shear failure mechanisms. A wide range of experimental data is used to validate the proposed methodology. It is shown that the model prediction agrees with experimental data very well.
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TL;DR: In this paper, a new methodology is proposed to calculate the equivalent initial flaw size (EIFS) distribution, which is based on the Kitagawa-Takahashi diagram.
240 citations
TL;DR: Results indicate that stochastic FE analysis-based scheme provides more conservative predictions than the probabilistic S-N curves-based one.
211 citations
TL;DR: In this article, the authors present a methodology for uncertainty quantification and model validation in fatigue crack growth analysis using a Bayes network, where several models are connected through a Bayesian network that aids in model calibration and validation.
181 citations
TL;DR: In this article, a probabilistic framework is established for multiaxial LCF assessment of notched components by using the Chaboche plasticity model and Fatemi-Socie criterion.
140 citations
TL;DR: In this article, the authors propose a descriptive model of the wear evolution process in rolling bearings over the whole lifetime, which uses a wide range of empirical findings in the literature to describe the wear interactions and evolution in the five-stage scenario: running-in, steadystate, defect initiation, defect propagation, and damage growth.
100 citations