Big Data Approach Application for Steel Pipelines in the Conditions of Corrosion Fatigue

Journal Title: Журнал інженерних наук - Year 2018, Vol 5, Issue 2

Abstract

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 for estimating the changes in the effective surface energy of WPL during plastic deformation, electrochemical overstrain, polarization potential and current density of the metal dissolution reaction at the top of the crack on the pipeline surface during its mechanical loading in an aqueous electrolyte solution is given. The dissolution of the metal is considered on the juvenile surface, taking into account the anode and cathode regions based on the approaches of surface physics and electrochemistry. An element of a mathematical model is a quality functional, taking into account information flows and a sensitivity coefficient. Functional quality is used to specify the feedback between the investment project methodology and risk estimates, as well as to optimize the information flows of enterprises and improve the system of protection of metallic underground pipelines that operate under conditions of corrosion fatigue. The purpose of this project is to improve the relevant regulatory and technical documents as well as software.

Authors and Affiliations

R. M. Skrynkovskyy, L. V. Yuzevych, O. I. Ogirko, G. Pawlowski

Keywords

Related Articles

Hydrodynamics of a Liquid Film Downflow on a Flat Surface in Evaporation Conditions into a Flow of Neutral Gas

The work is devoted to the study of the gravitational motion of a liquid film under evaporation conditions into a flow of neutral gas as applied to film machines with a plane-parallel nozzle. The aim of the work is to de...

Climate change modeling in the context of urban decarbonization strategy

The anthropogenic influence on the Earth’s climate is growing and the risks of the irreversible impacts on ecosystems also increase. This paper is focused on the long-term prediction of the climate change in Kyiv region...

Directions of the environmental protection processes optimization at heat power engineering enterprises

The article observes the impact factors of heat power engineering enterprises on the environment and ways of anthropogenic impact reduction during the application of ecological security control technological methods. The...

Analysis of the application of the galvanic circuits in schemes of the catodic protection for underground papelines

The possibility of using anode earthing in an assembly with a container is considered. Ensuring the integrity of the pipeline is a topical issue in connection with the environmental and economic consequences. The process...

Development of compressor equipment for technologies of hydrocarbons extraction using nitrogen

This article provides an overview of the results of research and development work aimed at the development and implementation of technologies compressor using nitrogen to extract hydrocarbons. Nitrogen as the most afford...

Download PDF file
  • EP ID EP416427
  • DOI 10.21272/jes.2018.5(2).e6
  • Views 85
  • Downloads 0

How To Cite

R. M. Skrynkovskyy, L. V. Yuzevych, O. I. Ogirko, G. Pawlowski (2018). Big Data Approach Application for Steel Pipelines in the Conditions of Corrosion Fatigue. Журнал інженерних наук, 5(2), 27-32. https://europub.co.uk./articles/-A-416427