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Appendix C: Corrosion Modeling
Pages 153-156

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From page 153...
... Once validated, corrosion models can support a variety of analyses, such as estimating the required interval between maintenance and repair actions, gauging the effectiveness of various corrosion mitigation approaches, aiding in the selection of materials and coatings, and performing sensitivity analysis regarding the basic assumptions and the initial and boundary conditions used in a corrosion analysis. The word "model" is itself ambiguous, and there is no uniform terminology to define models.
From page 154...
... .1 In situations in which the underlying model is well confirmed and understood, computer experiments potentially could replace real experiments, which is especially useful when data collection is difficult and expen sive. Computer simulations could also be heuristically important; for example, they may suggest new theories, models, and hypotheses based on a systematic explora tion of a model's parameter space.2,3 Several different taxonomies can be used to describe problems in corrosion science: static and dynamic, well and poorly understood, and simple and difficult.
From page 155...
... Accordingly, there are two complementary approaches for developing corrosion models and predicting corrosion damage: • Empirical models based on what has been measured or experienced, and • Deterministic models based on known and established natural laws. Within these two classes of models, there exist numerous subclasses.
From page 156...
... research oPPortunities corrosion science engineering  in and • Static ersus dynamic: A static model does not account for the element of time, whereas a dynamic model does. Pure "determinism" is an ideal concept that is probably never achieved in reality and thus integrating deterministic and empirical models could provide the most effective method for predicting corrosion damage.


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