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Damage modeling and life extending control for steam turbine are studied in this work.
The methodology developed utilizes unit process modeling and life cycle inventory techniques.
Correction to experimental data generated in the presence of residual stresses is necessary to produce accurate fatigue crack growth data for modeling and life prediction.
Reliability testing, modeling and life time prediction/reliability statistics are combined in one framework to accommodate for the creation of application specific, highly reliable components.
In this contribution, a quantitative merged process based on multiobjective decision analysis technique- (Promethee), Extended Hazop methodology (Hazop supported by dynamic simulation), reliability modeling and life cycle cost modeling is presented.
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The combination of reliability modeling and life-cycle cost analysis can produce very useful data for use in the decision and justification tasks.
Model simulation and life-cycle assessment3 show that reactive nitrogen losses and greenhouse gas emissions are reduced substantially by integrated soil crop system management.
Cox D. Regression models and life tables.
This method represents the nominal information with product model and life cycle flow model.
Such analyses can better inform bioreactor design, scale-up models, and life cycle assessments (LCAs).
Moreover, this study employs life cycle simulation technique to derive the entity information model from the hierarchical structure model and life cycle flow model.
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