Analysis of machine learning models and data sources to forecast burst pressure of petroleum corroded pipelines: A comprehensive review

AA Soomro, AA Mokhtar, HB Hussin, N Lashari… - Engineering Failure …, 2024 - Elsevier
A comprehensive evaluation of the integrity of oil and gas pipelines subjected to corrosion
defect is required for forecasting health & safety actions. If corrosion is ignored, it may have …

An automated machine-learning-assisted stochastic-fuzzy multi-criteria decision making tool: Addressing record-to-record variability in seismic design

A Amini, A Abdollahi, MA Hariri-Ardebili - Applied Soft Computing, 2024 - Elsevier
While uncertainty quantification (UQ) has served a prominent role in ensuring the safety of
dynamical engineering systems, the lack of an integrated approach to handle the aleatory …

Reliability assessment for pipelines corroded by longitudinally aligned defects

S Hosseinzadeh, MR Bahaari, M Abyani - Ocean Engineering, 2024 - Elsevier
Internal corrosion poses a significant threat to offshore pipeline services. Toward offshore
pipeline integrity management, this paper aims to use Finite Element Method (FEM) to …

A data-driven methodology for predicting residual strength of subsea pipeline with double corrosion defects

X Li, R Jia, R Zhang - Ocean Engineering, 2023 - Elsevier
The accurate residual strength prediction can support the maintenance planning of
damaged subsea pipeline. Recently, machine learning techniques become a remarkable …

Assessment of the Implications and Challenges of Using Artificial Intelligence for Urban Water Networks in the Context of Climate Change When Building Future …

MT Bui, H Yáñez-Godoy… - Journal of Pipeline …, 2025 - ascelibrary.org
Urban water networks are more than obligatory infrastructures that help to develop and
sustain cities; they are integral to urban resilience. Water networks have undergone an …

Collapse pressure prediction of mechanically lined pipes using FEM and machine learning techniques

L Yuan, C Wang, Q Luo, N Chen - Ocean Engineering, 2023 - Elsevier
Mechanically lined pipe, which proves to be an economical and reliable way to transport
corrosive hydrocarbons, has been used in many offshore projects. The presence of liner and …

Prediction and deployment of compressive strength of high-performance concrete using ensemble learning techniques

R Taiwo, AM Yussif, AH Adegoke, T Zayed - Construction and Building …, 2024 - Elsevier
Concrete is widely utilized in construction; however, accurately predicting its compressive
strength is difficult due to the complex relationships within its mixture. Although previous …

Corroded pipeline assessment using neural networks, the Finite Element Method and discrete wavelet transforms

ADM Ferreira, RB Willmersdorf, SMB Afonso - Advances in Engineering …, 2024 - Elsevier
An essential task in the oil and gas industry is establishing an efficient way to assess
corroded pipeline integrity. The literature shows that integrity analysis with Finite Elements …

Integrated finite element analysis and machine learning approach for propagation pressure prediction in hybrid Steel-CFRP subsea pipelines

M Alrsai, H Karampour, M Alhawamdeh, O Alajarmeh - Ocean …, 2024 - Elsevier
Accurate prediction of the propagation pressure (PP) in hybrid steel-CFRP pipe systems
presents a substantial challenge due to intricate interactions and complex collapse failure …

[HTML][HTML] Explainable ensemble models for predicting wall thickness loss of water pipes

R Taiwo, AM Yussif, MEAB Seghier, T Zayed - Ain Shams Engineering …, 2024 - Elsevier
Abstract Water Distribution Networks (WDNs) are susceptible to pipe failures with significant
consequences. Predicting wall-thickness loss in pipes is vital for proactive maintenance and …