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A Micromechanical Progressive Damage Algorithm for Prediction of Failure in Composite Laminates
Rajaeenezhad, Iman | 2013
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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 45536 (45)
- University: Sharif University of Technology
- Department: Aerospace Engineering
- Advisor(s): Hosseini Kordkheili, Ali
- Abstract:
- Macro models which are used to predict failure of composite structures in most cases predict ¬reasonable results; however, they are not able to consider micro level parameters such as micro cracks. Furthermore, these failure macro models need various empirical data. Considering micromechanical construction of composites; including fiber, matrix and their interfaces, using micromechanical models for predicting failures in these phases is more appropriate. The aim of this study is to represent a micro-mechanical algorithm in order to predict progressive failures of fiber-reinforced composites. The failure model which is used in this study is a micromechanical modeling of failure (MMF) model, which is based on numerical methods and it can convert macro stresses to micro stresses. To this aim, a two-phase model (fiber and matrix phases) with the assumption of full connectivity between different phases are applied. Considering full connectivity between the fibers and matrix causes the fiber-matrix interfacial failure does not happen. In the proposed algorithm, it is assumed that the fiber and matrix are homogeneous and failure in fibers and matrix is calculated independently. Failure is calculated micromechanically in each element and layer. As each element failed, the element properties are reduced and with the fraction of each layer, the composite properties are reduced. Finally, when all the layers are failed, catastrophic failure takes place in composite. This progressive micromechanical algorithm is implemented as Python program along with USDFLD subroutine and Abaqus software. The evaluated results of running these codes are compared with those of available literature and a very good agreement is observed
- Keywords:
- Micromechanics ; Prognostics Failure ; Composite ; Progressive Failure Analysis
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