Yves Reuland
CTO & Co‑Founder at irmos technologies; PhD in structural monitoring
Summary
Work
Education
Writing
Two‑step approach for fatigue crack detection in steel bridges using convolutional neural networks
January 1, 2022Work applying deep learning (CNNs) for automated visual detection of fatigue cracks in bridge inspection imagery, reflecting interest in combining sensing and data‑driven methods for infrastructure monitoring.
Measurement‑based support for post‑earthquake assessment of buildings
January 1, 2019Model‑based data‑interpretation framework to assess residual seismic capacity of buildings using scarce measurement data; demonstrates how ambient vibration measurements can augment visual inspection for faster, more quantitative post‑earthquake decisions.
Data‑Interpretation Methodologies for Non‑Linear Earthquake Response Predictions of Damaged Structures
January 1, 2017Comparison of structural identification methodologies (error‑domain model falsification, traditional and modified Bayesian model updating) for deriving non‑linear structural parameters from linear modal properties and assessing prediction uncertainty.