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A multi-segment probabilistic fatigue crack growth model to account for reliability in design of components
Published in
2010
Pages: 248 - 255
Abstract
Analysis of fatigue crack growth has undergone several developments in the past few decades. In general, fatigue crack growth is studied using deterministic models from either single or multiple crack growth rate tests. Realizing that several variables influence fatigue crack growth, such as, microstructure, crack length measurement techniques, it is pertinent to assess crack growth using probabilistic models. In the present work, a probabilistic model that considers crack growth data from multiple constant amplitude tests is studied using continuous and segmented crack growth rate data models. It is observed that the prediction of life using Paris constants from continuous data model is accurate only in a finite region of the crack growth. The model based on segmented data provides more accurate life predictions with lesser variance with experimental data than the continuous data model. The proposed modification of probabilistic model for fatigue crack growth can be used to estimate reliability factors based on the scatter in specific crack growth region. © 2010 IEEE.
About the journal
Journal2010 2nd International Conference on Reliability, Safety and Hazard, ICRESH-2010: Risk-Based Technology and Physics-of-Failure Methods
Open AccessNo
Concepts (21)
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    CONSTANT AMPLITUDE
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    CONTINUOUS DATA
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    CRACK GROWTH DATA
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    CRACK GROWTH MODEL
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    CRACK LENGTH MEASUREMENT
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    DETERMINISTIC MODELS
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    Experimental data
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    LIFE PREDICTIONS
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    Model-based opc
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    MULTI-SEGMENT
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    MULTIPLE CRACK
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    PROBABILISTIC FATIGUE
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    Probabilistic models
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    RELIABILITY FACTOR
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    SEGMENTED DATA
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    Several variables
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    Fatigue crack propagation
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    Fatigue of materials
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    Models
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    Reliability analysis
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    Cracks