Image-based identification procedure of a crack propagation law

Image-based identification procedure of a crack propagation law

A novel methodology to identify a fatigue crack propagation law is proposed. It is based on an optimization scheme that directly interrogates the images from the sought law rather than using a sequence of fitting schemes. Two procedures are presented and tested first on artificial data with a known law, and second on an actual image series obtained from a fatigue test performed on a thin titani...

On efficiency of identification of a stochastic crack propagation model based on Virkler experimental data

In the paper we concentrate on one aspect of the experimental design: how the information coming from an experiment can be utilised for identification of a specific mathematical model. To express the consistency of the data and the model we need some quality measure, allowing to transform our intuition to numbers. As the mathematical tool we propose a version of the statistical procedure of cro...

A Crack Identification Microwave Procedure Based on a Genetic Algorithm for Non-destructive Testing

Point-based Dynamic Deformation and Crack Propagation

In this paper, we articulate a novel meshless computational paradigm for the effective modeling, accurate physical simulation, and rapid visualization of solid objects. The uniqueness of our approach is that both the interior and the boundary of our new volumetric representation are point-based, generalizing the powerful and popular method of point-sampled surfaces. We also build the point-base...

Stress Inversion of Coal with a Gas Drilling Borehole and the Law of Crack Propagation

Tianjun Zhang 1,2,3, Lei Zhang 2,3,* ID , Shugang Li 2,3, Jialei Liu 4, Hongyu Pan 2,3 and Shuang Song 2,3 1 College of Science, Xi’an University of Science and Technology, Xi’an 710054, China; [email protected] 2 School of Safety Engineering, Xi’an University of Science and Technology, Xi’an 710054, China; [email protected] (S.L.); [email protected] (H.P.); [email protected] (S...