Investigating matrix cracking and fiber failure in composites using artificial intelligence and multiscale models

Document Type : Original Article

Authors
1 Ph.D, Department of Chemical Engineering, Technical and Vocational University (TVU), Tehran, Iran
2 Assistant professor, Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, Iran
Abstract
In today's advanced world, especially in the fields of mechanical engineering and aerospace industries, composites have gained a prominent position due to their unique feature of high strength along with low weight. However, the complex behavior of these materials requires accurate analysis and advanced tools for modeling and predicting their structural damage. The present study, by combining meso-macro multiscale models and continuum damage mechanics concepts, presents a new approach for analyzing and evaluating damage in composite structures. This study uses a quasi-simultaneous multiscale modeling framework that enables comprehensive analysis of matrix cracking and fiber failure using advanced finite element simulation methods and image processing tools. In addition, a subroutine based on continuum failure mechanics concepts can be developed in finite element software that is capable of analyzing the damage evolution, including crack progression, fiber failure, and ultimate failure load prediction of composite structures in a progressive manner. On the other hand, the application of artificial intelligence methods, especially in image processing, has reduced computational time and costs and significantly increased the accuracy of mechanical analyses. These intelligent multiscale approaches play a key role in optimizing design and accurately predicting failure mechanisms. These methods are effective tools for improving the performance and reliability of composite structures, especially in complex and sensitive aerospace applications.
Keywords
Subjects

اصل مقاله

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Volume 4, Issue 1 - Serial Number 7
August 2025
Pages 165-181

  • Receive Date 12 April 2025
  • Revise Date 02 July 2025
  • Accept Date 26 July 2025
  • First Publish Date 26 July 2025
  • Publish Date 22 June 2025