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Reza Davarnejad

Reza Davarnejad

Academic rank: Associate Professor
ORCID: https://orcid.org/0000-0002-0162-5577
Education: PhD.
ScopusId: 21739436900
Faculty: Engineering
Address: Arak University
Phone:

Research

Title
Numerical Analysis of Backscatter Radiography for Prediction of Pipelines Situation: Their Bursting and Casing Failure Consideration from inside
Type
JournalPaper
Keywords
Pipeline Bursting Casing Failure Backscatter Radiography Simulation In-situe
Year
2022
Journal International Journal of Engineering Transactions B: Applications
DOI
Researchers Vahid Jamshidi ، Reza Davarnejad

Abstract

Backscatter radiography as a technique can successfully be applied for predicting the pipeline bursting and casing failure. A valid numerical technique will allow predicting these issues without needing to access the outside of the pipelines. Furthermore, this technique has the ability to estimate the shape and depth of damages. It is normally preferred to apply non-destructive testing (NDT) methods which can monitor the status of a pipeline from the internal surface of it without needing to access both sides of it depending on various locations of pipe such as underground or submarine. In the current study, backscatter radiography as an applicable and NDT method to detect locations with potential for pipeline bursting or casing failure was carefully investigated using the Monte Carlo simulation tool. The data obtained by the simulation process showed that backscatter radiography could detect deformations, corroded areas, depositions, creation of load on the casing, lacking proper cementation, excessive pressure inside the pipelines, and other factors which may increase the risk of pipelines bursting or casing failure (in-situ and online) with an acceptable accuracy.