Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures
The Population-Based Structural Health Monitoring (PBSHM) paradigm has recently
emerged as a promising approach to enhance data-driven assessment of engineering …
emerged as a promising approach to enhance data-driven assessment of engineering …
Computer-Aided Structural Diagnosis of Bridges Using Combinations of Static and Dynamic Tests: A Preliminary Investigation
Reinforced concrete bridges deteriorate over time, therefore displaying a regular need for
structural assessment and diagnosis. The reasons for their deterioration are often the …
structural assessment and diagnosis. The reasons for their deterioration are often the …
Spatiotemporal denoising for structural dynamic response monitoring data
J Ma, D Zheng - Engineering Structures, 2024 - Elsevier
Engineering typically deploys multi-points to capture structural dynamic response signals
which are vulnerable to noise interference. Non-stationary random vibration makes most …
which are vulnerable to noise interference. Non-stationary random vibration makes most …
Fast subspace identification method based on containerised cloud workflow processing system
Subspace identification (SID) has been widely used in system identification and control
fields, since it can estimate system models while only relying on the input and output data …
fields, since it can estimate system models while only relying on the input and output data …
Model Order Selection for Uncertainty Quantification in Subspace-Based OMA of Vestas V27 Blade
Although several uncertainty quantification algorithms have gained widespread use in
applications, recent work suggests that the resultant uncertainty estimates are inaccurate …
applications, recent work suggests that the resultant uncertainty estimates are inaccurate …
Institute of Structural Engineering (IBK), SMM Team, ETH Zürich, 8093 Zürich, Switzerland 2
S Greś¹, M Döhler - Experimental Vibration Analysis for Civil …, 2023 - books.google.com
Although several uncertainty quantification algorithms have gained widespread use in
applications, recent work suggests that the resultant uncertainty estimates are inaccurate …
applications, recent work suggests that the resultant uncertainty estimates are inaccurate …
On Model Order Estimation and Hankel Matrix Denoising in the Framework of Subspace State Space System Identification for Modal Analysis
F Golnary, H Kalhori, B Li - Available at SSRN 4966360 - papers.ssrn.com
Subspace state space system identification are strong tools in identifying the modal analysis
of structures, including identifying the natural frequencies, mode-shapes, and damping …
of structures, including identifying the natural frequencies, mode-shapes, and damping …