Parametric Generation of Random Distribution of Fibers in Long-Fiber Reinforced Composites and Micromechanical FE Analysis

Zhen Qing Wang; Xiao Qiang Wang; Ji Feng Zhang; Song Zhou

doi:10.4028/www.scientific.net/KEM.452-453.117

Paper Titles

Elastoplastic Seismic Response Analysis of Masonry Buildings with Variable Wall Thickness along Height
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Investigation and Analysis on Seismic Damage of Masonry Buildings Subjected to Wenchuan Ms=8.0 Earthquake
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The Effect on Dynamic Properties of Reactive Powder Concrete under High Temperature Burnt and its Micro-Structure Analysis
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The Steady-State Growing Crack-Tip Field Characteristics of Mode I Elastic-Viscoplastic/Rigid Interface Cracks
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Parametric Generation of Random Distribution of Fibers in Long-Fiber Reinforced Composites and Micromechanical FE Analysis
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Mechanical Behavior of Structural Concrete Made with Recycled Aggregates from Tunnel Excavation
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Creep Behaviour of Reinforced Masonry Walls by CFRP Sheets and Structural Mortar
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Cyclic vs. Static Loading Behaviour of Masonry Blocks: An Approach to Evaluate the Long-Term Behaviour
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Study on Non-Local Damage Constitutive Model of Concrete under Freeze-Thaw Action
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Parametric Generation of Random Distribution of Fibers in Long-Fiber Reinforced Composites and Micromechanical FE Analysis

Abstract:

A method for the parametric generation of the transversal cross-section microstructure model of unidirectional long-fiber reinforced composite (LFRC) is presented in this paper. Meanwhile, both the random distribution of the fibers and high fiber volume fraction are considered in the algorithm. The fiber distribution in the cross-section is generated through random movements of the fibers from their initial regular square arrangement. Furthermore, cohesive zone element is introduced into modeling the interphase between the fiber and the matrix. All these processes are carried out by the secondary development of the finite element codes (ABAQUS) via Python language programming. Based on the model generated, micromechanical finite element analysis (FEA) is performed to predict the damage initiation and subsequent evolution of the composites. The results show that this technique is capable of capturing the random distribution nature of these composites even for high fiber volume fraction. Moreover, the results prove that a good agreement with the experimental results is found.