Fracture and Structural Integrity e-ISSN 1971-8993 Open access
Analytical, Numerical and Physical Models Vol. 17, No. 66 (2023)

Analysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach

Author and affiliation details
  • Asraar Anjum Department of Mechanical and Aerospace Engineering, Faculty of Engineering, International Islamic University Malaysia, P.O. Box 10, 50725 Kuala Lumpur, Malaysia
  • Abdul Aabid Shaikh Corresponding author Department of Engineering Management, College of Engineering, Prince Sultan University, PO BOX 66833, Riyadh 11586, Saudi Arabia aaabid@psu.edu.sa
  • Meftah Hriari Department of Mechanical and Aerospace Engineering, Faculty of Engineering, International Islamic University Malaysia, P.O. Box 10, 50725 Kuala Lumpur, Malaysia
DOI
10.3221/IGF-ESIS.66.06
Pages
112-126
Published
Licence
CC BY 4.0
Published inVol. 17, No. 66 (2023)Go to the issue

Abstract

In recent studies, piezoelectric actuators have been recognized as a practical and effective material for repairing cracks in thin-walled structures, such as plates that are adhesively bonded with piezoelectric patches due to their electromechanical effects. In this study, we used the finite element method through the ANSYS commercial code to determine the stress intensity factor (SIF) at the crack tip of a cracked plate bonded with a piezoelectric actuator under a plane stress model. By running various simulations, we were able to examine the impact of different aspects that affect this component, such as the size and characteristics of the plate, actuator, and adhesive bond. To optimize performance, we utilized machine learning algorithms to examine how these characteristics affect the repair process. This study represents the first-time machine learning has been used to examine bonded PZT actuators in damaged structures, and we found that it had a significant impact on the current problem. As a result, we were able to determine which of these parameters were most helpful in achieving our goal and which ones should be adjusted to improve the actuator's quality and reduce significant time and costs.

Keywords

Article history

  1. ReceivedUntil the next stage: 90 days
  2. RevisedUntil the next stage: 4 days
  3. AcceptedUntil the next stage: 56 days
  4. Published

How to cite

APA

Anjum, A., Shaikh, A. A., & Hriari, M. (2023). Analysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach. Fracture and Structural Integrity, 17(66), 112–126. https://doi.org/10.3221/IGF-ESIS.66.06

IEEE

A. Anjum, A. A. Shaikh, and M. Hriari, “Analysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach,” Fracture and Structural Integrity, vol. 17, no. 66, pp. 112–126, 2023, doi: 10.3221/IGF-ESIS.66.06.

MLA

Anjum, Asraar, et al. “Analysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach.” Fracture and Structural Integrity, vol. 17, no. 66, 2023, pp. 112–126. https://doi.org/10.3221/IGF-ESIS.66.06.

Chicago

Anjum, Asraar, Abdul Aabid Shaikh, and Meftah Hriari. 2023. “Analysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach.” Fracture and Structural Integrity 17 (66): 112–126. https://doi.org/10.3221/IGF-ESIS.66.06.

Harvard

Anjum, A., Shaikh, A.A. and Hriari, M. (2023) ‘Analysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach’, Fracture and Structural Integrity, 17(66), pp. 112–126. doi: 10.3221/IGF-ESIS.66.06.

Vancouver

Anjum A, Shaikh AA, Hriari M. Analysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach. Fracture and Structural Integrity. 2023;17(66):112-126. doi:10.3221/IGF-ESIS.66.06

BibTeX

@article{anjum2023, author = {Anjum, Asraar and Shaikh, Abdul Aabid and Hriari, Meftah}, title = {Analysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach}, journal = {Fracture and Structural Integrity}, year = {2023}, volume = {17}, number = {66}, pages = {112--126}, doi = {10.3221/IGF-ESIS.66.06}, url = {https://doi.org/10.3221/IGF-ESIS.66.06}, issn = {1971-8993} }

RIS

TY - JOUR AU - Anjum, Asraar AU - Shaikh, Abdul Aabid AU - Hriari, Meftah TI - Analysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2023 DA - 2023/09/27 VL - 17 IS - 66 SP - 112 EP - 126 DO - 10.3221/IGF-ESIS.66.06 UR - https://doi.org/10.3221/IGF-ESIS.66.06 SN - 1971-8993 ER -

Licence

Creative Commons Attribution 4.0 International

May be shared and adapted, provided appropriate credit is given. Copyright © 2023 Asraar Anjum, Abdul Aabid Shaikh, Meftah Hriari.

Copyright 
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