Abstract
An integral computational method has been developed to provide initial values to a subsequent fitting of creep data based on non-linear and iterative methods. The fitting of the Garofalo's equation, which describes creep data, utilizes a strong non-linear objective function. Various algorithms are developed which provide the solution for the fitting. An analysis is made of the significance of this solution in relation to the problem studied. The dispersion of the solution values is related to the final values provided by other non-linear and iterative methods. The method is applied to three types of steels and screens the experimental creep data with a statistical analysis that improves the fitting results.
Peer reviewed