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Data-driven SHM of a timber lamella dome using deep learning

Abstract Timber lamella domes are structurally efficient spatial systems whose long-term performance is challenging to monitor due to complex load paths, limited accessibility, and sensitivity to environmental effects. This study presents a data-driven structural health monitoring (SHM) framework th...

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Bibliografische gegevens
Hoofdauteurs: Mohsen Mokhtari Kashavar, Yaser Shahbazi, Haniyeh Seyvani Amirkhiz, Aynaz Sadeghi, Siamak Pedrammehr, Siamak Pedrammeh
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Springer 2026-04-01
Reeks:Discover Civil Engineering
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Online toegang:https://doi.org/10.1007/s44290-026-00456-4
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