A Review of Finite Element Analysis and Artificial Neural Networks as Failure Pressure Prediction Tools for Corroded Pipelines.
- DOI
- 10.3390/ma14206135
- Published
- 2021 Oct 15
- Container
- Materials (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/ma14206135,
title = {A Review of Finite Element Analysis and Artificial Neural Networks as Failure Pressure Prediction Tools for Corroded Pipelines.},
author = {Vijaya Kumar SD and Lo Yin Kai M and Arumugam T and Karuppanan S},
year = {2021},
journal = {Materials (Basel, Switzerland)},
doi = {10.3390/ma14206135},
url = {https://doi.org/10.3390/ma14206135}
}RIS
TY - JOUR TI - A Review of Finite Element Analysis and Artificial Neural Networks as Failure Pressure Prediction Tools for Corroded Pipelines. AU - Vijaya Kumar SD AU - Lo Yin Kai M AU - Arumugam T AU - Karuppanan S PY - 2021 JO - Materials (Basel, Switzerland) DO - 10.3390/ma14206135 UR - https://doi.org/10.3390/ma14206135 ER -
APA
SD, V. K., M, L. Y. K., T, A., & S, K. (2021). A Review of Finite Element Analysis and Artificial Neural Networks as Failure Pressure Prediction Tools for Corroded Pipelines.. Materials (Basel, Switzerland). https://doi.org/10.3390/ma14206135
Source records
- pubmed · retrieved 2026-09-25T03:30:58.774Z