XFEM for Composites, Biological, and Bioinspired Materials: A Review

被引:3
作者
Vellwock, Andre E. [1 ]
Libonati, Flavia [2 ]
机构
[1] Tech Univ Dresden, B CUBE Ctr Mol Bioengn, D-01307 Dresden, Germany
[2] Univ Genoa, Dept Mech Energy Management & Transportat Engn, I-16145 Genoa, Italy
基金
英国科研创新办公室;
关键词
XFEM; FEM; fracture modeling; composites; biological materials; bioinspiration; AI; FINITE-ELEMENT-METHOD; CRACK-PROPAGATION; CORTICAL BONE; PHASE-FIELD; FRACTURE-BEHAVIOR; MULTISCALE XFEM; DYNAMIC CRACK; LAMELLAR BONE; SIMULATION; DAMAGE;
D O I
10.3390/ma17030745
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The eXtended finite element method (XFEM) is a powerful tool for structural mechanics, assisting engineers and designers in understanding how a material architecture responds to stresses and consequently assisting the creation of mechanically improved structures. The XFEM method has unraveled the extraordinary relationships between material topology and fracture behavior in biological and engineered materials, enhancing peculiar fracture toughening mechanisms, such as crack deflection and arrest. Despite its extensive use, a detailed revision of case studies involving XFEM with a focus on the applications rather than the method of numerical modeling is in great need. In this review, XFEM is introduced and briefly compared to other computational fracture models such as the contour integral method, virtual crack closing technique, cohesive zone model, and phase-field model, highlighting the pros and cons of the methods (e.g., numerical convergence, commercial software implementation, pre-set of crack parameters, and calculation speed). The use of XFEM in material design is demonstrated and discussed, focusing on presenting the current research on composites and biological and bioinspired materials, but also briefly introducing its application to other fields. This review concludes with a discussion of the XFEM drawbacks and provides an overview of the future perspectives of this method in applied material science research, such as the merging of XFEM and artificial intelligence techniques.
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页数:21
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