Global geo-hazard risk assessment of long-span bridges enhanced with InSAR availability. [PDF]
Malinowska D +4 more
europepmc +1 more source
Advances, Challenges, and Recommendations for Non-Destructive Testing Technologies for Wind Turbine Blade Damage: A Review of the Literature from the Past Decade. [PDF]
Qin G, Jin Y, Qiao L, Wu Z.
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Development of a Low-Cost Passive Strain Sensor for Bridge Structural Health Monitoring. [PDF]
Power HM, Shenton HW.
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Quantifying sensor contribution in vibration-based structural health monitoring using explainable multichannel convolutional neural networks. [PDF]
Dadoulis GI, Manolis GD.
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physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks. [PDF]
Chen M, Zhang Y, Ye Y, Lu Y.
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Radar Interferometry Using gNB Base Stations: Estimation and Compensation of Mast Motion and Atmospheric Effects. [PDF]
Beni A +7 more
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STRUCTURAL HEALTH MONITORING (SHM): ADVANCES, METHODS AND APPLICATIONS
openaire +1 more source
Machine learning analysis based on deep learning for fatigue diagnostics in carbon fiber reinforced polymers. [PDF]
Salah Al-Shati A, Mohammed TJ.
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Giant photostriction rate for remote opto-ultrasonic structural health monitoring. [PDF]
Yin J +16 more
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From LLM to FEM: Low-Rank Adaptation for Noise-Robust Structural Damage Detection. [PDF]
Kim J, Kang H, Chang S.
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