Cited by Prediction of internal corrosion rate for gas pipeline: a new method based on Transformer architecture

Fast and Accurate Prediction of Corrosion Rate of Natural Gas Pipeline Using a Hybrid Machine Learning Approach DOI

Hongbo Liu,

Xinlei Cai,

Xiangzhao Meng

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 2023 - 2023

Published: Feb. 14, 2025

The precise prediction of natural gas pipeline corrosion rates holds great significance for maintenance and control. Existing methods, especially traditional models, often fail to adequately consider noise interference the strong nonlinear characteristics data, resulting in insufficient accuracy. To enhance predictive performance, a hybrid model based on machine learning is been proposed. This consists three main components: data processing, optimization, performance evaluation. In this model, decomposition algorithms principal component analysis are employed eliminate redundant from original capture their primary features. A stratified sampling method utilized divide into training set test set, avoiding biases caused by random sampling. modified particle swarm optimization algorithm applied optimize parameters back propagation neural network. model’s assessed using various indicators, including R2, MAPE, RMSE, MAE, U1, U2, RE, forecasting effectiveness, comparing results with existing literature, Grey Relational Analysis, interpretability research. proposed compared eight advanced models western China. study reveals that developed outperforms others, demonstrating excellent accuracy effectively guiding formulation control measures.

Language: Английский

Citations

Mechanical performance, structural optimization, and production of PVC axial hollow‐wall pipes through materials‐saving DOI

Zeyuan Guo,

Pengfei Tang,

Changheng Lu

et al.

Journal of Vinyl and Additive Technology, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Abstract A novel structural wall pipe, PVC axial hollow‐wall pipe (AHWP) has been developed to reduce carbon emissions during the “Full Life Cycle” of pipelines by reducing material use in walls. The advantages and application prospects AHWP are examined, followed manufacturing prototypes using advanced production techniques. properties, internal external pressure resistance, impact buried load deformation three types were evaluated. Experimental numerical simulations analyzed how cross‐sectional structure on mechanical performance proposed optimization pathways. Results indicate that process for closely resembles solid‐wall pipes (SWP), allowing rapid large‐scale industrial with appropriate adjustments. Material consumption is only 60% 70% SWP. All can withstand long‐term hydrostatic 0.6 MPa, meeting basic requirements low‐pressure non‐pressure plastic drainage pipes, circular‐hole demonstrating best performance. diversify market, support societal shift toward sustainable development, characterized conservation resources reduction greenhouse gas emissions. Highlights Validated new design enhanced efficiency. Optimized performance, cost, energy. Developed refined analyses. Established future improvement routes testing. Demonstrated AHWP's potential efficiency, materials, applications.

Language: Английский

Citations

Ageing Underground Water Pipelines: Time-to-Failure Models, Gaps and Future Directions DOI

Beenish Bakhtawar, Tarek Zayed, Ibrahim Abdelfadeel Shaban

et al.

Water Research X, Journal Year: 2025, Volume and Issue: unknown, P. 100331 - 100331

Published: March 1, 2025

Language: Английский

Citations

Prediction of internal corrosion rate for gas pipeline: a new method based on Transformer architecture DOI

Li Tan, Yang Yang, Kemeng Zhang

et al.

Computers & Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 109084 - 109084

Published: March 1, 2025

Language: Английский

Citations