Estimating Parameters of Microplane Material Model Using Soft Computing Methods

1. Abstract The material model M4 for concrete based on a microplane paradigm [1] is a realistic but very complex model with a large number of phenomenological constitutive parameters, which are rather difficult to determine from experiments. In addition, high computational complexity and non-smoothness of the model response prohibits the use of traditional deterministic optimization methods to parameter identification. In the view of recent improvements in soft computing methods, the applicability of a novel methodology for parameter identification proposed by Lehký and Novák [2], when applied to microplane material model, is examined in the present contribution.