A Source-Aware and Physically Interpretable Data-Driven Framework for Predicting Semi-Circular Bending (SCB) Fracture Energy of Fiber-Reinforced Asphalt Mixtures.
- DOI
- 10.3390/ma19102172
- Published
- 2026 May 21
- Container
- Materials (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/ma19102172,
title = {A Source-Aware and Physically Interpretable Data-Driven Framework for Predicting Semi-Circular Bending (SCB) Fracture Energy of Fiber-Reinforced Asphalt Mixtures.},
author = {Zeng W and Ge Z and Shan L and Liao H and Xiao Q and Xu X},
year = {2026},
journal = {Materials (Basel, Switzerland)},
doi = {10.3390/ma19102172},
url = {https://doi.org/10.3390/ma19102172}
}RIS
TY - JOUR TI - A Source-Aware and Physically Interpretable Data-Driven Framework for Predicting Semi-Circular Bending (SCB) Fracture Energy of Fiber-Reinforced Asphalt Mixtures. AU - Zeng W AU - Ge Z AU - Shan L AU - Liao H AU - Xiao Q AU - Xu X PY - 2026 JO - Materials (Basel, Switzerland) DO - 10.3390/ma19102172 UR - https://doi.org/10.3390/ma19102172 ER -
APA
W, Z., Z, G., L, S., H, L., Q, X., & X, X. (2026). A Source-Aware and Physically Interpretable Data-Driven Framework for Predicting Semi-Circular Bending (SCB) Fracture Energy of Fiber-Reinforced Asphalt Mixtures.. Materials (Basel, Switzerland). https://doi.org/10.3390/ma19102172
Source records
- pubmed · retrieved 2026-09-27T00:12:45.765Z