Numerical benchmark for road bridge damage detection from passing vehicles responses applied to four data-driven methods

• Autorzy: Cantero Daniel , Sarwar Zohaib , Malekjafarian Abdollah , Corbally Robert , Alamdari Mehrisadat Makki , Cheema Prasad , Aggarwal Jatin , Noh Hae Young , Liu Jingxiao

Identyfikatory

DOI

10.1007/s43452-024-01001-9

• Języki publikacji: EN

Abstrakty

EN

Drive-by bridge monitoring utilizes measured responses from passing vehicles to perform damage detection of bridge, a methodology challenged by multiple factors and operational conditions. Recently, data-driven methods have been used to improve the accuracy of drive-by monitoring. This thriving research field requires (but lacks) publicly available datasets to improve and validate its monitoring and damage detection capabilities. To foster data-driven drive-by bridge damage assessment methods, this document presents an openly available dataset consisting of numerically simulated vehicle responses crossing a range of bridge spans with various damage conditions. The dataset includes results for different monitoring scenarios, road profile conditions, vehicle models, vehicle mechanical properties and speeds. The intention is to provide a useful resource to the research community that serves as a reference set of results for testing and benchmarking new developments in the field. In addition, four recently published data-driven drive-by methods have been tested using the same dataset.

Słowa kluczowe

EN

indirect monitoring; damage detection; vehicle-bridge interaction

PL

uszkodzenie mostu; monitoring mostu; przęsło mostu

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2024
• Tom: Vol. 24, no. 3
• Strony: art. no. e190, 2024
• Opis fizyczny: Bibliogr. 35 poz., rys., wykr.

Twórcy

autor

Cantero Daniel

• Department of Structural Engineering, Norwegian University of Science and Technology NTNU, Trondheim, Norway

• https://orcid.org/0000-0001-8947-8569

autor

Sarwar Zohaib

• Department of Structural Engineering, Norwegian University of Science and Technology NTNU, Trondheim, Norway

• https://orcid.org/0000-0003-4810-1516

autor

Malekjafarian Abdollah

• Structural Dynamics and Assessment Laboratory, School of Civil Engineering, University College Dublin, Dublin, Ireland

• https://orcid.org/0000-0003-1358-1943

autor

Corbally Robert

• Structural Dynamics and Assessment Laboratory, School of Civil Engineering, University College Dublin, Dublin, Ireland

• https://orcid.org/0000-0003-4841-5267

autor

Alamdari Mehrisadat Makki

• Centre for Infrastructure Engineering and Safety, School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney, Australia

• https://orcid.org/0000-0001-6587-7493

autor

Cheema Prasad

• Centre for Infrastructure Engineering and Safety, School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney, Australia

• https://orcid.org/0000-0002-8560-3745

autor

Aggarwal Jatin

• Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA

• https://orcid.org/0009-0006-2118-0946

autor

Noh Hae Young

• Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA

• https://orcid.org/0000-0002-7998-3657

autor

Liu Jingxiao

• Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA

• https://orcid.org/0000-0001-5559-1627

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025)