[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-125660-en":3,"doc-seo-125660-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},125660,34359740700684,"Finn","https://ap-avatar.wpscdn.com/avatar/1f400023980c374ae676?_k=1777273430885731487",8,"Research & Report","Analysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach","Piezoelectric actuators are used as practical repair materials for cracks in thin-walled structures via electromechanical effects from piezoelectric patches. The study employs finite element analysis in ANSYS under a plane stress model to compute the stress intensity factor at the crack tip for cracked plates bonded with an actuator. Multiple simulations evaluate the influence of plate, actuator, and adhesive-bond parameters, while machine learning is applied to optimize the repair performance. The results identify the most helpful parameters for improving actuator quality and reducing time and cost, supporting damage-control objectives.","12/5/23 , 4:33 PM Scopus-Print Document  \nDocuments  \nAnjum, A.a , Aabid, A. b , Hrairi, M.a  \nAnalysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach  \n(2023) Frattura ed Integrita Strutturale , 17 (66), pp. 112-126.  \nDOI: 10.3221/IGF-ESIS.66.06  \na Department of Mechanical and Aerospace Engineering, Faculty of Engineering, International Islamic University Malaysia, P.O. Box 10, Kuala Lumpur, 50725, Malaysia  \nb Department of Engineering Management, College of Engineering, Prince Sultan University, PO BOX 66833, Riyadh, 11586, Saudi Arabia  \nAbstract  \nIn 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. © 2023, Gruppo Italiano Frattura. All rights reserved.  \nAuthor Keywords  \nDamaged structure; Finite element method; Machine learning; Piezoelectric actuators  \nIndex Keywords  \nAdhesives, Crack tips, Learning algorithms, Machine learning, Piezoelectric actuators, Piezoelectricity, Plates (structural components), Repair, Thin walled structures; Adhesively bonded, Damage control, Damaged structures, Effective materials, Machine learning approaches, Machine-learning, Piezoelectric patch, Practical materials, Thin plate, Thin-walled structures; Finite element method  \nFunding details  \nInternational Islamic University MalaysiaIIUM Prince Sultan UniversityPSU  \nKementerian Pendidikan MalaysiaKPMFRGS/1/2021/TK0/UIAM/01/5  \nhe author AsraarAnjum acknowledges the support of the TFW2020 scheme from the Kulliyyah of Engineering, International Islamic University Malaysia and this research was supported by the Ministry of Education of Malaysia T (MOE) through Fundamental Research Grant Scheme (FRGS/1/2021/TK0/UIAM/01/5) . Also, the authors acknowledge the support of the Structures and Materials (S&M) Research Lab of Prince Sultan University.  \nReferences  \n Aabid, A. , Baig, M. , Hrairi, M.  \nAdvanced Composite Materials for Structural Maintenance, Repair, and Control  \n(2023) Materials (Basel) , 16 (2), p. 743.  \n Aabid, A. , Parveez, B. , Raheman, M.A. , Ibrahim, Y.E. , Anjum, A. , Hrairi, M. , Parveen, N. , Zayan, J. M.  \nA review of piezoelectric materials based structural control and health monitoring techniques for engineering structures: challenges and opportunities  \n(2021) Actuators , 10 (5), p. 101.  \n Aabid, A. , Raheman, A. , Ibrahim, Y.E. , Anjum, A. , Hrairi, M. , Parveez, B. , Parveen, N. , Zayan, J. M.  \nA Systematic Review of Piezoelectric Materials and Energy Harvesters for Industrial  \n[https://www.scopus.com/citation/print.uri?origin=recordpage&sid=&src=s&stateKey=OFD_1721126609&eid=2-s2.0-85172872170&sort=&clicked](https://www.scopus.com/citation/print.uri?origin=recordpage&sid=&src=s&stateKey=OFD_1721126609&eid=2-s2.0-85172872170&sort=&clicked)… 1/5  \n12/5/23 , 4:33 PM Scopus-Print Document  \nApplications ","cbCaimEdt5L0bFiH","https://ap.wps.com/l/cbCaimEdt5L0bFiH","pdf",217320,1,5,"English","en",105,"# Abstract\n## Finite element modeling\n## Parameter impact analysis\n## Machine learning optimization\n## Key findings and implications","[{\"question\":\"How is the stress intensity factor at the crack tip determined in this study?\",\"answer\":\"The finite element method in ANSYS computes the stress intensity factor at the crack tip for a cracked plate bonded with a piezoelectric actuator under a plane stress model.\"},{\"question\":\"Which parameters are investigated for their effect on the repair process?\",\"answer\":\"Simulations vary plate size and characteristics, actuator properties, and the adhesive bond characteristics to assess their impact on the repair behavior.\"},{\"question\":\"What role does machine learning play in optimizing damage control performance?\",\"answer\":\"Machine learning algorithms analyze how the selected characteristics affect the repair process, enabling identification of the most beneficial parameters to improve actuator quality and reduce time and costs.\"}]","Analysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach | PDF",1785900504,13,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"analysis-of-damage-control-of-thin-plate-with-piezoelectric-actuators-using-finite-element-and-machine-learning-approach","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/analysis-of-damage-control-of-thin-plate-with-piezoelectric-actuators-using-finite-element-and-machine-learning-approach/125660/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"How is the stress intensity factor at the crack tip determined in this study?","Question",{"text":75,"@type":76},"The finite element method in ANSYS computes the stress intensity factor at the crack tip for a cracked plate bonded with a piezoelectric actuator under a plane stress model.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which parameters are investigated for their effect on the repair process?",{"text":80,"@type":76},"Simulations vary plate size and characteristics, actuator properties, and the adhesive bond characteristics to assess their impact on the repair behavior.",{"name":82,"@type":73,"acceptedAnswer":83},"What role does machine learning play in optimizing damage control performance?",{"text":84,"@type":76},"Machine learning algorithms analyze how the selected characteristics affect the repair process, enabling identification of the most beneficial parameters to improve actuator quality and reduce time and costs.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,109,114,119,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":106,"show_sort_weight":107,"slug":108},"Comic",60,"comic",{"id":110,"doc_module":4,"doc_module_name":46,"category_name":111,"show_sort_weight":112,"slug":113},6,"Technology",50,"technology",{"id":115,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":21,"slug":137},19,"General","general"]