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pro vyhledávání: '"Liam Cronin"'
Autor:
Liam Cronin, Soheil Sadeghi Eshkevari, Thomas J. Matarazzo, Sebastiano Milardo, Iman Dabbaghchian, Paolo Santi, Shamim N. Pakzad, Carlo Ratti
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-12 (2024)
Abstract Structural information deficits about aging bridges have led to several avoidable catastrophes in recent years. Data-driven methods for bridge vibration monitoring enable frequent, accurate structural assessments; however, the high costs of
Externí odkaz:
https://doaj.org/article/77ee264a74cd4081acd83064cf4c2bc8
Publikováno v:
Structural Health Monitoring. 22:2022-2037
There is a growing attention in real-time bridge condition assessment using data from drive-by vehicles as a potentially scalable approach. Most system identification methods are based on synchronized vibration data collection for this purpose. This
Publikováno v:
ICASSP
This study proposes a learning-based method with domain adaptability for input estimation of vehicle suspension systems. In a crowdsensing setting for bridge health monitoring, vehicles carry sensors to collect samples of the bridge's dynamic respons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41cf8efcf845f0cf55af22069527a1be
Publikováno v:
Mechanical Systems and Signal Processing. 166:108368
Input estimation is an involved task with wide applications in nonlinear dynamic systems. Model-based input estimation methods are not feasible solutions for problems in which the underlying behavior is not sufficiently known. Data-driven methods hav