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Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics Applications
The intersection of physics and machine learning has given rise to the physics-enhanced machine learning (PEML) paradigm, aiming to improve the capabilities and reduce the individual shortcomings of data- or physics-only methods.
Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods
The collected data is made freely and openly available with the intention that it serve as a benchmark dataset for challenges in full-scale structural dynamics.
Structured Machine Learning Tools for Modelling Characteristics of Guided Waves
The use of ultrasonic guided waves to probe the materials/structures for damage continues to increase in popularity for non-destructive evaluation (NDE) and structural health monitoring (SHM).
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