Multiple Crack Detection in Thick-walled Pipes Using Artificial Bee Colony Algorithm release_vwyv7cuncvhdla7gyof6sxywdy

by Amir Banimahd, Mohammad Amir Rahemi

Published in Periodica polytechnica. Civil engineering by Periodica Polytechnica Budapest University of Technology and Economics.

2021  

Abstract

An analytical method for diagnosis of cracks in thick-walled pipes with a circular hollow section is investigated in this study. In the proposed method, the defect is assumed to be a non-leaking crack, which is modeled by a massless linear spring with infinitesimal length at the crack location. In order to find the cracks in the pipe, the vibration-based method related to the modal properties of the pipe is utilized. In the modal analysis, the mass and stiffness matrices influence the dynamic properties of the pipe. It is assumed that the mass matrix remains unchanged after the crack initiation, while the corresponding stiffness matrix changes. The stiffness matrix of a cracked element can be formulated by the finite element method with two unknown parameters: location and depth of the crack. Using the eigensolution for an undamped dynamic system to formulate the objective function yields to a complicated optimization problem, which can be solved by an iterative numerical optimization method. Among the optimization approaches, the Artificial Bee Colony (ABC) algorithm is a simple and flexible technique for minimizing the objective function. In this paper, the analytical model is utilized to find the size and position of cracks in a pipe using the ABC algorithm and subsequently some numerical examples are examined in order to assess the accuracy of the method. The results show that the proposed method is able to acceptably estimate the location and depth of multiple cracks in the straight pipes as well as curved ones.
In application/xml+jats format

Archived Files and Locations

application/pdf  2.4 MB
file_5ua7tzazorbqvdilets3e37egy
pp.bme.hu (publisher)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2021-04-06
Container Metadata
Not in DOAJ
Not in Keepers Registry
ISSN-L:  0553-6626
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 1e83bfb3-87d4-4da6-9ea7-57ed97148b14
API URL: JSON