Introduction to Numerical Identification

To further challenge the meso-model, a new morphology coming from an X-ray scan of another characteristic micro-concrete specimen is introduced and its macroscopic behaviour is computed without a priori numerical identification.

, accounting for damage, friction and interlocking, is employed, upon extending this formulation by addressing the degradation of the depth of asperities as a novel mechanical feature, Sensitivity analyses permit to assess the proposed modelling strategy and to devise a procedure for the numerical identification of model parameters.

A numerical identification method that allows rigorous consideration of different experimental configurations is described.

In this paper, we present a method to classify and assign unique numerical identification codes to different water and wastewater types based on their water quality.

An algorithm for the numerical identification of a quadratic scalar Volterra polynomial is proposed.

Additionally, assuming the number of dipoles known, a stability result is obtained and an efficient numerical identification method is developed.

Our main tools include (i) a Floquet analysis of the linear equations, (ii) a multiscale analysis based on a separation of timescales between the parametric oscillations and the beats, and (iii) the numerical identification of limit cycles and attractors.

The procedure of numerical identification of thermophysical properties of concrete during its hardening is presented.