Physics-Informed Multi-Fidelity Graph Learning for Sequence-Aware Residual Bolt Preload Prediction in Hyperelastic-Sealed Flanges.
- DOI
- 10.3390/s26175534
- Published
- 2026 Aug 31
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26175534,
title = {Physics-Informed Multi-Fidelity Graph Learning for Sequence-Aware Residual Bolt Preload Prediction in Hyperelastic-Sealed Flanges.},
author = {Wang J and Tan J and Liu Y and Zhong J},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26175534},
url = {https://doi.org/10.3390/s26175534}
}RIS
TY - JOUR TI - Physics-Informed Multi-Fidelity Graph Learning for Sequence-Aware Residual Bolt Preload Prediction in Hyperelastic-Sealed Flanges. AU - Wang J AU - Tan J AU - Liu Y AU - Zhong J PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26175534 UR - https://doi.org/10.3390/s26175534 ER -
APA
J, W., J, T., Y, L., & J, Z. (2026). Physics-Informed Multi-Fidelity Graph Learning for Sequence-Aware Residual Bolt Preload Prediction in Hyperelastic-Sealed Flanges.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26175534
Source records
- pubmed · retrieved 2026-11-10T08:34:38.342Z