engleski

Parameter estimation in fiber reinforced concrete

This paper presents application of a novel method for parameter estimation in a stochastic model of fiber reinforced concrete. Fiber reinforced concrete (FRC) is a new material with increasing application. Numerical model of FRC is not so well established as that of ordinary concrete. It is even more truth for procedures for material parameter estimation. Deterministic model of FRC has to deal with a large number of fibres and identification from that type of model is generally difficult. In this work we present a stochastic model of FRC based on the fiber bundle model. Fiber bundle model allows introduction of a probability distribution function into the model and simple performance of Monte Carlo experiments. Introduction of order statistics and the Levenberg – Marquardt procedure leads to formulation of the inverse model that permits identification of material parameters. Numerical examples illustrate the properties and stability of the proposed method.

fiber reinforced concrete, stochastic model, fiber bundle model, parameter estimation, Monte Carlo experiments

Vol 5. 978-2-35158-227-5 ; e-ISBN: 978-2-35158-218-3