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Improvement of the computational efficiency of metaheuristic algorithms for the crack detection of cantilever beams using hybrid methods

Title	Improvement of the computational efficiency of metaheuristic algorithms for the crack detection of cantilever beams using hybrid methods
Author	Firouzi, Behnam, Abbasi, Ahmad, Şendur, Polat
Publication Date:	2022-07-03
Publication Place	- Taylor & Francis
Subject	Crack detection, Optimization, PFA-NM, Euler–Bernoulli beam, Modal analysis
Type	Periodical
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	0305-215X
Record ID	6e4677c8-bdfe-461e-badc-ce253a7421ff
Library Location	Mechanical Engineering
Date	2022-07-03
Sample Text	This study examines the capability of various optimization algorithms and proposes novel hybrid algorithms for more precise prediction of open-edge cracks in cantilever beams. The natural frequencies of the beam with a crack are obtained by modal analysis and experimentally validated by impact testing. The performance of Harris hawk optimization (HHO), electrostatic discharge algorithm (ESDA), pathfinder algorithm (PFA) and Henry gas solubility optimization (HGSO) algorithms from the literature is evaluated to determine the location and depth of an open-edge crack for an Euler-Bernoulli beam. Then, hybrid algorithms (HHO-NM, ESDA-NM and PF-NM) are proposed to improve the results of the aforementioned algorithms. Simulation results show that the proposed hybrid algorithms yield much more precise results with fewer function evaluations than the previously introduced algorithms and, therefore, have superior crack detection capability. Statistical post hoc analysis shows that the proposed hybrid algorithm can be considered a high-performance algorithm, which can significantly improve the efficiency of crack detection applications.
DOI	10.1080/0305215X.2021.1919887
Cilt	54

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Özyeğin University

Improvement of the computational efficiency of metaheuristic algorithms for the crack detection of cantilever beams using hybrid methods

Author Firouzi, Behnam, Abbasi, Ahmad, Şendur, Polat

Publication Date 2022-07-03

Publication Place - Taylor & Francis

Subject Crack detection, Optimization, PFA-NM, Euler–Bernoulli beam, Modal analysis

Type Periodical

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 0305-215X

Record ID 6e4677c8-bdfe-461e-badc-ce253a7421ff

Library Location Mechanical Engineering

Date 2022-07-03

Sample Text This study examines the capability of various optimization algorithms and proposes novel hybrid algorithms for more precise prediction of open-edge cracks in cantilever beams. The natural frequencies of the beam with a crack are obtained by modal analysis and experimentally validated by impact testing. The performance of Harris hawk optimization (HHO), electrostatic discharge algorithm (ESDA), pathfinder algorithm (PFA) and Henry gas solubility optimization (HGSO) algorithms from the literature is evaluated to determine the location and depth of an open-edge crack for an Euler-Bernoulli beam. Then, hybrid algorithms (HHO-NM, ESDA-NM and PF-NM) are proposed to improve the results of the aforementioned algorithms. Simulation results show that the proposed hybrid algorithms yield much more precise results with fewer function evaluations than the previously introduced algorithms and, therefore, have superior crack detection capability. Statistical post hoc analysis shows that the proposed hybrid algorithm can be considered a high-performance algorithm, which can significantly improve the efficiency of crack detection applications.

DOI 10.1080/0305215X.2021.1919887

Cilt 54