Big Data Approach Application for Steel Pipelines in the Conditions of Corrosion Fatigue
This paper presents results of the use of Big Data approach and neural network for the pipelines diagnosis problem. In this case the pipeline is in the conditions of crack growth of corrosion fatigue and exposed to hydrogen. It is proposed to use graphene protective coatings. The mathematical model...
Saved in:
| Main Authors: | Skrynkovskyy R. M., Yuzevych L. V., Ogirko O. I., Pawlowski G. |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sumy State University
2018-11-01
|
| Series: | Журнал інженерних наук |
| Subjects: | |
| Online Access: | http://jes.sumdu.edu.ua/?page_id=27291 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DEVELOPMENT OF SOFTWARE SYSTEM FOR MONITORING OF STRESS CORROSION CRACKING OF THE PIPELINE UNDER TENSION
by: Z. K. Abaev, et al.
Published: (2016-07-01) -
Stress corrosion cracking behavior of pipeline steel due to liquid ammonia with water and oxygen impurities
by: Jiaqing LI, et al.
Published: (2025-06-01) -
Research on Causes of Corrosion Perforation in Changning Shale Gas Gathering Pipelines
by: QING Song-zhu, ZHANG Xiao-lin, WEN Zhan, DAN Xia, TANG Yu, KANG Lin, LIAO Ke-xi
Published: (2021-06-01) -
Soil and Ground Factors Affecting the Steel Underground Pipelines Corrosion Process and their Computer Simulation
by: V. N. Romaniuk, et al.
Published: (2025-05-01) -
Corrosion Perforation Failure Analysis for a Natural Gas Pipeline
by: CHEN Chao, GUO Yu-jie, SUN Hai-jiao, YU Yan-zhao, LI Zi-mo, ZHANG Jiang-jiang
Published: (2021-06-01)