Fatigue Life Prediction Using Hybrid Prognosis for Structural Health Monitoring

The long-term performance of engineering structures in a corrosive environment will be significantly affected by the coupled action of corrosion and fatigue. In this article, a probabilistic corrosion fatigue analytical model is proposed by taking into account the effects of corrosion-induced reduction of the cross-sectional area and deterioration of the fatigue strength of structural components. The proposed model is exemplified to evaluate the probabilistic corrosion fatigue life of a typical welded joint in the suspension Tsing Ma Bridge instrumented with a long-term structural health monitoring system. A genetic algorithm–based mixture parameter estimation method is developed to facilitate the multimodal modeling of stress spectrum derived from the long-term monitoring data of dynamic strain. The achieved results demonstrate that with the increase in the service life, the reliability index of the investigated typical welded joint is dramatically reduced under the combined effect of corrosion and fatigue.

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RELIABILITY ASSESSMENT FOR AN AUTOMOBILE CRANKSHAFT UNDER RANDOM LOADING

Jurnal Teknologi ◽

10.11113/jt.v78.9194 ◽

2016 ◽

Vol 78 (6-10) ◽

Cited By ~ 1

Author(s):

S.S.K. Singh ◽

S. Abdullah ◽

N.A.N. Mohamed

Keyword(s):

Fatigue Life ◽

Structural Health Monitoring ◽

Markov Process ◽

Health Monitoring ◽

Reliability Assessment ◽

Life Assessment ◽

Loading History ◽

Random Loading ◽

Structural Health ◽

Life Data

This paper presents the stochastic process for reliability assessment based on the fatigue life data under random loading for structural health monitoring of an automobile crankshaft due tofatigue failure. This is based on reported failure of the component due to the effect of the random loads that acts on the component during its operating condition over a given period of time. Since there are significant limitations of the experimental analysis in terms of actual loading history, therefore, the reliability assessment is considered to be less accurate. Hence, the reliability assessment based on fatigue life data using the Markov process by incorporating loading data to synthetically generate loading history has been proposed in this study. The Markov process has the capability of continuously updating the loading history data to reduce the intervals between each data point for reliability assessment based on the fatigue life data. The accuracy of the proposed monitoring system for reliability assessment was validated through its statistical method. The reliability assessment from the Markov process corresponded well by providing an accuracy of more than 95% when compared towards the actual sampling data. The reliability of the crankshaft based on the fatigue life assessment provides a highly accurate for the improvement and control of risk factors in terms of structural health monitoring by overcoming the extensive time and cost required for fatigue testing

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Statistical analysis of stress spectra for fatigue life assessment of steel bridges with structural health monitoring data

Engineering Structures ◽

10.1016/j.engstruct.2012.06.016 ◽

2012 ◽

Vol 45 ◽

pp. 166-176 ◽

Cited By ~ 97

Author(s):

X.W. Ye ◽

Y.Q. Ni ◽

K.Y. Wong ◽

J.M. Ko

Keyword(s):

Fatigue Life ◽

Statistical Analysis ◽

Structural Health Monitoring ◽

Health Monitoring ◽

Steel Bridges ◽

Life Assessment ◽

Monitoring Data ◽

Structural Health ◽

Fatigue Life Assessment

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Analysis of Aircraft Composite Structural Health Monitoring and Life Prediction Technology

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.88-89.515 ◽

2011 ◽

Vol 88-89 ◽

pp. 515-523

Author(s):

Xiao Chuang Tao ◽

Chen Lu

Keyword(s):

Structural Health Monitoring ◽

Health Monitoring ◽

Life Prediction ◽

Health Management ◽

Structure Design ◽

Prognostics And Health Management ◽

Aircraft Structure ◽

Reliability Design ◽

Structural Health ◽

Critical Issues

Along with the constantly updated aircraft structure design, higher performance and reliability design indexes as well as usage of a large portion of new materials especially lightweight composite materials put forward higher requirements for aircraft structure safety. The damage detection, diagnosis, forecast and management become an important part of aircraft Prognostics and Health Management(PHM).In order to better build the Structural Prognostics and Health Management system of a new generation aircraft for the improvement of security, task reliability and economy, this paper introduced the development situation of aircraft composite structural health monitoring and life prediction technologies, classified the existing technologies, and then discussed the principle, quality point, applicability and application situation, finally, pointed out several critical issues which still need further study.

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