NuBe-DBBM: Numerical Benchmark for Drive-By Bridge Monitoring methods
Contributors
- 1. Department of Structural Engineering, Norwegian University of Science and Technology NTNU, Trondheim, Norway
- 2. Structural Dynamics and Assessment Laboratory, School of Civil Engineering, University College Dublin, Ireland
- 3. Centre for Infrastructure Engineering and Safety, School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney, Australia
- 4. Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, 94305
Description
This repository contains an extensive dataset of numerically simulated vehicle responses crossing a range of bridge spans with various damage conditions. In addition, the dataset includes results for different 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 of drive-by bridge monitoring.
The dataset is made of a collection of individual files, each containing results and information about single vehicle crossing events. The dataset provides results for different dimensions of the problem, which are: monitoring scenario (DSA, DSB), bridge spans (B09, B015, B21, B27, B33, B39), damage location (DL25, DL50), damage magnitude (DM00, DM020, DM40), vehicle model (V1, V2, V5), road profile (P00, PA1, PA2), and event number (E0001, E0002, …, E0800). In total, the dataset contains 518 400 separate files conveniently categorized into a system of subfolders. Each file contains the simulated responses from a 2D representation of the vehicle-bridge interaction problem in Matlab environment. The files here are in .mat format. Refer to the document ReadMe.pdf for extended explanations about the filing structure and file contents. In addition, an extended description of the dataset and numerical modelling can be found in the associated journal publication listed below.
Cantero D, Sarwar Z, Malekjafarian A, Corbally R, Makki Alamdari M, Cheema P, Aggarwal J, Noh HY, Liu J. Numerical benchmark for road bridge damage detection from passing vehicles responses applied to four data-driven methods. Archives of Civil and Mechanical Engineering, Vol. 24, Article number 190, 2024.
Files
Bridges.zip
Files
(55.9 GB)
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Additional details
Related works
- Is described by
- Publication: 10.1007/s43452-024-01001-9 (DOI)
Software
- Repository URL
- https://github.com/DanielCanteroNTNU/VBI-2D