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The proposed model is simple and easy for material parameter determination.
The proposed model is based on the commonly available S-N curve parameters of the material and does not require any additional material parameter determination or S-N curve modification.
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Therefore, oxygen is always a potential threat of reinforcement corrosion in concrete and oxygen diffusivity is a material parameter for service life determination and durability designing of the concrete.
The procedure is automated through the integrated software COMPARE (COnstitutive Material PARameter Estimator) that enables the determination of an 'optimum' set of material parameters by minimizing the errors between the experimental test data and the model's predicted response.
The entire procedure is automated through an integrated software namely, COnstitutive Material PARameter Estimator, COMPARE, to enable the determination of an 'optimum' set of material parameters by minimizing the errors between the experimental test data and the predicted response.
See 'Materials and methods' for details on parameters and parameter determination.
In addition, a univariate comparison for determination of age-group differences for each material parameter, using the Kruskal-Wallis test, was done for the entire population.
Each experiment for model parameter determination was carried out with 1.9 g of plant material at a flowrate of 1 mL/min and an applied pressure of 11 bar.
The optimization (error minimization) procedure was integrated in the parameter determination process using a Matlab™ shell program, which makes this approach readily adaptable to other test geometries and material models.
Parameter determination and their relationships are discussed.
Details of model parameter determination are provided.
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