SPMS 2024

Session

Acoustic Emission and Defectoscopy

21 Jun 2024, 09:30

Dobřichovice

Conveners

Acoustic Emission and Defectoscopy

• Jiří Franc (Czech Technical University (CZ))

Acoustic Emission and Defectoscopy

• Václav Kůs (KM FJFI CVUT)

24. Innovative Applications of Acoustic Emission Measurement in Material Testing

Mr Milan Chlada

21/06/2024, 09:30

Acoustic Emission (AE) is a crucial non-destructive testing method that captures ultrasonic stress waves in materials, aiding in the detection of fractures and wear. This study highlights AE's role in material integrity and predictive maintenance. Employing a specialized setup from the Institute of Thermomechanics of the Czech Academy of Sciences, we used various AE sensors and a USB...

5. Deep NN in acoustic emission classification and hysteresis analysis

Jan Zavadil

21/06/2024, 10:00

This contribution presents the results of the past year of our research, the main objective of which was to identify, implement, and compare deep learning methods for the recognition of acoustic emission signals. Two experiments were conducted to obtain relevant data for comparing these methods. Initially, five selected architectures designed to work
directly with 1D signals as input data are...

22. Classification of Signals Based on $\phi$-divergences

Zuzana Dvořáková

21/06/2024, 11:00

The main topic of this paper is the application of $\phi$-divergence in the field of non-destructive testing. The $\phi$-divergence is applied both in the framework of signal parameters and as part of the classification method. The application of $\phi$-divergence is verified both in an acoustic emission experiment and in a scatterer classification experiment in a water tank. In the latter...

17. Parameter Optimization in Cyclic Plastic Loading

Martin Kovanda

21/06/2024, 11:20

Modeling the behavior of materials under cyclic plastic loading is a crucial topic in the engineering design process for various applications. Numerous constitutive models have been developed for this purpose. In this paper, we have selected a specific material model with 12 parameters that must be fitted to measured data. This results in a non-convex optimization problem with many local...

8. Modelling slow dynamics and hysteresis using non-equilibrium strain theory

Radovan Zeman

21/06/2024, 11:40

The nonlinear behavior of consolidated granular materials includes three distinct phenomena: classical nonlinearity, hysteresis, and slow dynamics. Despite the occurrence of these phenomena simultaneously, they have been studied separately, resulting in the development of independent theoretical models.

In our recent work, we have proposed the concept of non-equilibrium strain, which we...