Data-driven Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure
Summary
Data-driven Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure is a scholarly article[1].
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Data-driven Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Data-driven Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-driven-methods-to-predict-the-burst-strength-of-corroded-line-pipelines-subjected-to-internal-pressure
MLA“Data-driven Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-driven-methods-to-predict-the-burst-strength-of-corroded-line-pipelines-subjected-to-internal-pressure.
BibTeX@misc{4ortxyz_data-driven-methods-to-predict-the-burst-strength-of-corroded-line-pipelines-subjected-to-internal-pressure_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data-driven Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure}}, year = {2026}, url = {https://4ort.xyz/entity/data-driven-methods-to-predict-the-burst-strength-of-corroded-line-pipelines-subjected-to-internal-pressure}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data-driven Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure — https://4ort.xyz/entity/data-driven-methods-to-predict-the-burst-strength-of-corroded-line-pipelines-subjected-to-internal-pressure (retrieved 2026-05-24)
