Prediction of Failure Pressure of Sulfur-Corrosion-Defective Pipelines Based on GABP Neural Networks.

Zhu L, Xia Y, Jia B, Ma J

DOI: 10.3390/ma18133177
Published: 2025 Jul 4
Container: Materials (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/ma18133177,
  title = {Prediction of Failure Pressure of Sulfur-Corrosion-Defective Pipelines Based on GABP Neural Networks.},
  author = {Zhu L and Xia Y and Jia B and Ma J},
  year = {2025},
  journal = {Materials (Basel, Switzerland)},
  doi = {10.3390/ma18133177},
  url = {https://doi.org/10.3390/ma18133177}
}

RIS

TY  - JOUR
TI  - Prediction of Failure Pressure of Sulfur-Corrosion-Defective Pipelines Based on GABP Neural Networks.
AU  - Zhu L
AU  - Xia Y
AU  - Jia B
AU  - Ma J
PY  - 2025
JO  - Materials (Basel, Switzerland)
DO  - 10.3390/ma18133177
UR  - https://doi.org/10.3390/ma18133177
ER  -

APA

L, Z., Y, X., B, J., & J, M. (2025). Prediction of Failure Pressure of Sulfur-Corrosion-Defective Pipelines Based on GABP Neural Networks.. Materials (Basel, Switzerland). https://doi.org/10.3390/ma18133177

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pubmed · retrieved 2026-09-25T05:02:07.537Z