Christoph Kralovec

Post-doctoral researcher, Assist.-Prof. since 2020

Johannes Kepler Universität Linz Technisch-Naturwissenschaftliche Fakultät

Austria

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Christoph Kralovec is a Post-doctoral researcher and Assistant Professor at Johannes Kepler Universität Linz in Austria. His research focuses on advanced materials and structural health monitoring, with recent articles addressing topics such as anomaly detection in aerospace structures and the long-term behavior of piezoresistive sensor materials. His work also includes investigations into damage evaluation and monitoring techniques for composite materials, utilizing various innovative methodologies including acoustic emission measurements and deep learning approaches.

Christoph Kralovec

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Articles (19)

Semi-Supervised Anomaly Detection for the Identification of Damages in an Aerospace Sandwich Structure Based on Synthetically Generated Strain Data

Assessing the Adhesiveness and Long-Term Behaviour of Piezoresistive Strain Sensor Materials for Application in Structural Health Monitored Structures

Static strength and fatigue life of pinned hybrid titanium-composite single-lap-shear joints

Impact of Model Knowledge on Acoustic Emission Source Localization Accuracy

Feature Engineering for Physics-informed Evaluation of Electromechanical Impedance Measurements for Sandwich Face Layer Debonding Identification

Physics-driven deep neural networks for damage identification using guided wave damage interaction coefficients

Damage monitoring of pinned hybrid composite–titanium joints using direct current electrical resistance measurement

Damage evaluation in plain-woven CFRP plate with circular hole under cyclic tensile loading using electrical impedance tomography

Prediction of the Released Mechanical Energy of Loaded Lap Shear Joints by Acoustic Emission Measurements

Damage Propagation and Residual Strength of Simple Block-Loaded CFRP Plates with Circular Holes under Tension–Tension Fatigue Conditions

Sandwich Face Layer Debonding Detection and Size Estimation by Machine-Learning-Based Evaluation of Electromechanical Impedance Measurements

Local residual random forest classifier for strain-based damage detection and localization in aerospace sandwich structures

Monitoring of Atmospheric Corrosion of Aircraft Aluminum Alloy AA2024 by Acoustic Emission Measurements

Scattered Ultrasonic Guided Waves Characterized by Wave Damage Interaction Coefficients: Numerical and Experimental Investigations

Damage identification using wave damage interaction coefficients predicted by deep neural networks

Development of Aircraft Spoiler Demonstrators for Cost-Efficient Investigations of SHM Technologies under Quasi-Realistic Loading Conditions

Structural Response Prediction of Thin-Walled Additively Manufactured Parts Considering Orthotropy, Thickness Dependency and Scatter

Material modelling and property mapping for structural FEA of thin-walled additively manufactured components

Vibration-Based Thermal Health Monitoring for Face Layer Debonding Detection in Aerospace Sandwich Structures

Collaborators (2)

Bettina Heise

Martin Schagerl

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