Drive-by bridge damage detection by vehicle-bridge interaction neural operator

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Drive-by bridge damage detection by vehicle-bridge interaction neural operator ; volume:29 ; number:7 ; year:2024
E-Journal of nondestructive testing ; 29, Heft 7 (2024)

Creator: Irawan, Joshua
Kim, Chul-Woo

DOI: 10.58286/29760

URN: urn:nbn:de:101:1-2502041141163.659371714705

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:33 AM CEST

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Irawan, Joshua
Kim, Chul-Woo

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Drive-by bridge damage detection by vehicle-bridge interaction neural operator

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Other Objects (12)

Smart Bridge Damage Assessment through Integrated Multi-Sensor Fusion Vehicle Monitoring

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Identifying damage on a bridge using rotation-based Bridge Weigh-In-Motion

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Cloud simulation based bridge damage identification enhanced by computer vision and augmeted reality

Drive-by damage detection methodology for high-speed railway bridges using sparse autoencoders

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Smart Bridge Damage Assessment through Integrated Multi-Sensor Fusion Vehicle Monitoring

Damage identification of Chi River bridge based on vehicle excitation and WPEVCR

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Smartphone-based bridge monitoring through vehicle–bridge interaction: analysis and experimental assessment

Damage characterization and resilience optimization of reinforced concrete bridge piers under vehicle impact

Identifying damage on a bridge using rotation-based Bridge Weigh-In-Motion

Crowdsourcing bridge dynamic monitoring with smartphone vehicle trips

Cloud simulation based bridge damage identification enhanced by computer vision and augmeted reality

Drive-by damage detection methodology for high-speed railway bridges using sparse autoencoders

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Bridge und Auction-Bridge

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Damage identification of Chi River bridge based on vehicle excitation and WPEVCR

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Smartphone-based bridge monitoring through vehicle–bridge interaction: analysis and experimental assessment

Damage characterization and resilience optimization of reinforced concrete bridge piers under vehicle impact

Identifying damage on a bridge using rotation-based Bridge Weigh-In-Motion

Crowdsourcing bridge dynamic monitoring with smartphone vehicle trips

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