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semantic_scholare-Journal of Nondestructive Testing2026-08-01Cited by 0

Data set on ultrasonic guided waves in a composite overwrapped pressure vessel under variable operational conditions for the Open Guided Waves Platform

Jan Heimann, Daniel Lozano, H. El Moutaouakil, Octavio A. Márquez Reyes, Enes Savli, David Pöhlig, Jochen Moll, Peter Kraemer, Andreas Schütze, Jens Prager

Structural Health Monitoring (SHM) using ultrasonic-guided waves (UGWs) enables continuous monitoring of components with complex geometries and provides detailed information about their structural integrity and overall condition. Due to their intricated characteristics, UGWs are highly sensitive to material properties as well as environmental and operational factors such as temperature and pre-stress. To advance the development and validation of UGW-based SHM evaluation techniques, benchmark data sets are therefore essential for enabling transparent comparison of emerging algorithms. With the growing relevance of composite overwrapped pressure vessels (COPVs) in various industries, this work introduces a comprehensive open-access dataset of UGW measurements on a COPV, to be published on the Open Guided Waves platform. The COPV was placed in a high-pressure hydraulic system, and it was exposed to varying temperature and pressure levels to simulate realistic environmental and operational conditions. UGWs were excited and recorded using a distributed network of piezoelectric transducers attached to the surface of the specimen. Tests were repeated by introducing artificial and real damages on the vessel to evaluate their effect under similar conditions. The paper provides a brief overview of the experimental methodology, key results demonstrating the dataset’s scope and a short section on technical validation, including machine learning-based damage detection, and localisation.

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semantic_scholare-Journal of Nondestructive Testing2026-08-01

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Ultrasonic guided waves are widely used for monitoring composite panels due to their high sensitivity to structural changes. While numerous damage indices (DIs) have been proposed to detect and localize damage, they are typically applied either independently, ignoring the potenti…

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semantic_scholare-Journal of Nondestructive Testing2026-08-01

Physics-Informed Neural Network for baseline-free damage diagnosis using Ultrasonic Guided Waves

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Ultrasonic Guided Waves (UGWs) are among the most effective tools for damage diagnosis and Structural Health Monitoring (SHM) of thin-walled structures. However, traditional SHM methods based on UGWs typically require baseline measurements and signal post-processing to extract da…

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semantic_scholare-Journal of Nondestructive Testing2026-08-01

First damaging experiments on the openLAB research bridge: Extensive open data sets and preliminary insights

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The openLAB is a 45 m long, three-span semi-integral research bridge near Bautzen, Germany, constructed from prestressed concrete girders. It serves as a benchmark platform for evaluating and comparing structural health monitoring (SHM) systems through controlled experiments. Thi…

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semantic_scholare-Journal of Nondestructive Testing2026-08-01

Guided Wave-Based Structural Health Monitoring of Rails: A Deep Learning Approach for Damage Detection

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semantic_scholare-Journal of Nondestructive Testing2026-08-01

Efficient simulation of guided wave testing through frequency-domain synthesis: a comparison with time-domain methods

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semantic_scholare-Journal of Nondestructive Testing2026-08-01

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