Fiber metal laminates (FML) are hybrid materials consisting of metal and composite layers. They have great mechanical and fatigue properties. However, interface between metal and composite layers can be critical for their final properties. In this paper, process of determination of some fracture parameters of this interface in unusual FML material is described. Experimental tests following ASTM norm were conducted using Double Cantilever Beam (DCB). However, due to asymmetry, fracture energy cannot be obtained directly from the force–displacement curve. Finite element method simulations were carried out using cohesive elements and cohesive surfaces approach. The cohesive behavior of interface layers were modelled using traction separation law. Key properties of this law were obtained—maximal traction and fracture energy. In this particular case cohesive approach was better in reflecting experimental results. Determined values can be used in later research tasks (like modelling big structures containing this material) as material properties. The presented approach can be used successfully to obtain fracture energy in cases of materials for which standard approach is insufficient.
Fibre metal laminates (FML) are layered materials consisting of both metal and reinforced composite layers. Due to numerous possibilities of configuration, constituent materials, etc., designing and testing such materials can be time- and cost-consuming. In addition to that, some parameters cannot be obtained directly from the experiment campaign. These problems are often overcome by using numerical simulation. In this article, the authors reviewed different approaches to finite element analysis of fibre metal laminates based on published articles and their own experiences. Many aspects of numerical modelling of FMLs can be similar to approaches used for classic laminates. However, in the case of fibre metal laminates, the interface between the metal and the composite layer is very relevant both in experimental and numerical regard. Approaches to modelling this interface have been widely discussed. Numerical simulations of FMLs are often complementary to experimental campaigns, so an experimental background is presented. Then, the software used in numerical analysis is discussed. In the next two chapters, both static and fatigue failure modelling are discussed including several key aspects like dimensionality of the model, approaches to the material model of constituents and holistic view of the material, level of homogenization, type of used finite elements, use of symmetry, and more. The static failure criteria used for both fibres and matrix are discussed along with different damage models for metal layers. In the chapter dedicated to adhesive interface composite—metal, different modelling strategies are discussed including cohesive element, cohesive surfaces, contact with damage formulation and usage of eXtended Finite Element Method. Also, different ways to assess the failure of this layer are described with particular attention to the Cohesive Zone Model with defined Traction–Separation Law. Furthermore, issues related to mixed-mode loading are presented. In the next chapter other aspects of numerical modelling are described like mesh sensitivity, friction, boundary conditions, steering, user-defined materials, and validation. The authors in this article try to evaluate the quality of the different approaches described based on literature review and own research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.