Comparison of machine learning methods and finite element analysis on the fracture behavior of polymer composites
- PDF / 1,785,672 Bytes
- 17 Pages / 595.276 x 790.866 pts Page_size
- 71 Downloads / 250 Views
O R I G I NA L
H. Ersen Balcıo˘glu
· Ahmet Ça˘gda¸s Seçkin
Comparison of machine learning methods and finite element analysis on the fracture behavior of polymer composites
Received: 27 April 2020 / Accepted: 24 August 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract In recent years, it became possible to use different methods for the analysis of mechanical systems with the help of computers to learn like humans and by increasing their interaction with the world by observing autonomously. One of these mechanical analyzes is the fracture mechanics in which the behavior of the laminated composites having a crack is examined. In this study, experimental methods, finite element analysis (FEA) and machine learning algorithms (MLA) were used to analyze the fracture behavior of polymer composites in Mode I, Mode I/II and Mode II loading situations. For the experimental study, the fracture behaviors of the laminated composites reinforced with pure glass, pure carbon and glass/carbon hybrid knitted fabrics were tested with the help of Arcan test apparatus. In the finite element method, the linear elastic fracture behavior at the crack tip was analyzed by using the J-integral method. In the field of MLA, there is no single learning algorithm that provides good learning on all real-world problem data. Therefore, algorithm selection is done experimentally so various machine algorithms were used in the study. The analysis result showed that the finite element analysis and machine learning results were in good agreement with experimental measurements. This study is particularly important for the comparison of machine learning techniques with FEA in regression applications. Keywords Fracture toughness · Knitting fabric · Pure and hybrid composite · Finite element analysis · Machine learning algorithms
1 Introduction Also, to be lightness, fiber-reinforced composite materials have high tensile strength and elastic modulus in the fiber direction, superior impact resistance, and high fatigue life. In the last three decades, the laminated composites have gained immense popularity in different weight-sensitive engineering branches including engineering applications. Laminated composite materials, which used especially in the aerospace sector, have many application areas such as building, automotive, and sports equipment. Tough environmental conditions, uneven stress distribution and structural damages arise from production cause unexpected mechanical failures. One of the most common types of failure encountered during production, assembly or use in composite structures is the cracking of the composite structure. For this reason, it is necessary to know the fracture behavior and fracture damage mechanism of the laminated composites which used as a construction material. H. E. Balcıo˘glu (B) Department of Mechanical Engineering, Usak University, U¸sak, Turkey E-mail: [email protected] A. Ç. Seçkin Department of Computer Engineering, Adnan Menderes University, Aydın, Turkey
H. E. Balcıo˘glu, A.
Data Loading...
