Comparison of machine learning methods and finite element analysis on the fracture behavior of polymer composites
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Artificial Neural Networks (ANNs), Random Forest (RF), and Support Vector Regression (SVR) have shown remarkable efficacy in different applications.
“Among the various ML algorithms, Artificial Neural Networks (ANNs), Random Forest (RF), and Support Vector Regression (SVR) have shown remarkable efficacy in different applications.”
From Machine Learning Algorithms for Prediction and Characterization of Cohesive Zone Parameters for Mixed-Mode Fracture (2024) · cites this paper as [50]
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Ramian, A., & Elhajjar, R. (2024) · Journal of Composites Science · doi:10.3390/jcs8080326 · Cited by 8 · see citing works
“For instance, Balcıo˘glu and Seçkin [50] compared ANN methods with traditional finite element analysis (FEA) for fracture behavior prediction, demonstrating superior performance in learning from real-world data.”
- Authors
- Balcıoğlu, H. E., & Seçkin, A. Ç.
- Affiliations
- Usak University (TR)
- Adnan Menderes University (TR)
- Corresponding author
- Balcıoğlu, H. Ersen
- Venue
- Archive of Applied Mechanics
- Published
- 2020-09-09
- Volume
- 91
- Issue
- 1
- Pages
- 223-239
- ISSN
- 0939-1533 (ISSN-L)
- 1432-0681
- OpenAlex
- W3085870618
- Cited by
- 40
- References
- 60
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 8 · 2023: 9 · 2022: 6 · 2021: 2
- FWCI
- 2.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archive of Applied Mechanics (publishedVersion)
- Topics
- Physical Sciences › Engineering › Mechanics of Materials › Mechanical Behavior of Composites
- Physical Sciences › Engineering › Mechanics of Materials › Fatigue and fracture mechanics
- Physical Sciences › Engineering › Mechanics of Materials › Numerical methods in engineering
- Keywords
- fracture behavior, polymer composites, composite laminates, mode I fracture, mode II fracture, mixed-mode fracture, glass fiber reinforced composites, carbon fiber composites, J-integral, crack tip analysis, machine learning regression, finite element method comparison
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