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PCM Bearing Capacity Prediction Criteria Development Based on Registered AE Parameters

A.A. Bryansky, О. В. Башков, I. O. Bashkov, Denis B. Solovev

2020IOP Conference Series Earth and Environmental Science18 citationsDOIOpen Access PDF

Abstract

Abstract In this paper a result of the registered acoustic emission (AE) signals during static deformation and destruction of the polymer composite material (PCM) study is presented. Analysis of the total AE accumulation, changing of the Ib-value and probability densities of peak amplitudes and median frequencies of the AE signals was done. An approach for the PCM destruction stages identification and the bearing capacity determination based on the energy and frequency analysis of the AE signals wavelet decomposition is proposed.

Topics & Concepts

Acoustic emissionWaveletBearing capacityAmplitudeBearing (navigation)Materials scienceAcousticsEnergy (signal processing)Structural engineeringComposite materialMathematicsComputer scienceStatisticsEngineeringPhysicsOpticsArtificial intelligenceUltrasonics and Acoustic Wave PropagationThermography and Photoacoustic TechniquesStructural Health Monitoring Techniques