A probabilistic state assessment framework for damaged heavy-haul railway bridges using vehicle–bridge collaborative monitoring
- DOI
- 10.1038/s41598-026-60777-3
- Published
- 2026-07-19
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-60777-3,
title = {A probabilistic state assessment framework for damaged heavy-haul railway bridges using vehicle–bridge collaborative monitoring},
author = {Jiaqi Shi and Hongmei Shi and Jianbo Li and Nan Zhang},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-60777-3},
url = {https://doi.org/10.1038/s41598-026-60777-3}
}RIS
TY - JOUR TI - A probabilistic state assessment framework for damaged heavy-haul railway bridges using vehicle–bridge collaborative monitoring AU - Jiaqi Shi AU - Hongmei Shi AU - Jianbo Li AU - Nan Zhang PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-60777-3 UR - https://doi.org/10.1038/s41598-026-60777-3 ER -
APA
Shi, J., Shi, H., Li, J., & Zhang, N. (2026). A probabilistic state assessment framework for damaged heavy-haul railway bridges using vehicle–bridge collaborative monitoring. Scientific Reports. https://doi.org/10.1038/s41598-026-60777-3
Source records
- crossref · retrieved 2026-09-25T19:15:23.271Z