The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/8a8a9975-859d-4197-bca9-95e7eb5ed28c

Zhu, Longxiang; Gao, Lei; Zhang, Lei (2025): Data underlying the publication: A Prediction Method for Creep Camber in High-Speed Railway Simply Supported Beam Bridges Based on SHAP-XGBoost. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/8a8a9975-859d-4197-bca9-95e7eb5ed28c.v1

Categories

• Civil Engineering
• Engineering

Keywords

Bridge engineering Creep camber High-speed railway simply supported beam bridge Machine learning Shapley additive explanations Temperature gradient XGBoost model

Licence

CC BY-NC-ND 4.0

Interoperability

• RO-Crate Metadata

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by Longxiang Zhu, Lei Gao, Lei Zhang

The dataset consists of processed feature data, including environmental parameters of the bridge's location (ambient temperature, wind speed, wind direction, radiation, atmospheric pressure), solar incidence angle and solar azimuth angle calculated based on the bridge's latitude/longitude and time information, temperature data monitored by temperature sensors installed inside the processed box girder, and measured mid-span creep camber displacement values.

History

• 2025-09-23 first online, published, posted

Publisher

4TU.ResearchData

Format

spreadsheet/.xlsx

References

• https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5088423

Organizations

Jiangsu University of Science and Technology, School of Architecture and Civil Engineering;
Shandong University, State Key Laboratory for Tunnel Engineering