Effective modeling strategy for drop test analysis of composite curved beam

Chinh, Pham Duc

doi:10.31219/osf.io/24fjn

Cited by 1 publication

(1 citation statement)

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“…There is a need to accurately predict the fatigue behavior of woven fabrics of an arbitrary layup based on the test data of coupons with pre-defined ply orientations. While many studies have been performed on failure analyses of fiber-reinforced woven fabrics subject to quasi-static and dynamic load cases [1][2][3][4][5][6][7][8], progressive damage studies of the fabric materials due to fatigue are still limited because of the perception of a higher fatigue damage resistance of woven-fabric laminates under normal operating conditions. The presence of fabrication induced defects and the combined aggressive mechanical and environmental loading conditions has driven the current design and certification of a composite structure to be based on the damage tolerance approach.…”

Section: Introductionmentioning

confidence: 99%

A 3D progressive damage model for fatigue analysis of woven fabric composites

Pham

Lua

2018

2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference

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A new 3D damage model is developed to predict the progressive failure and accumulated fatigue damage of woven fabric composite materials. Stress-based failure criteria are used to predict the damage initiation in x-tow, y-tow, and matrix constituent. An S-N based damage accumulation model is implemented to characterize the cycle dependent strength of the xand y-fiber tows and matrix subjected to axial tension, compression, or in-plane share loading. A curve-fit non-linear shear model is also employed based on the static coupon test data of (+45/-45) woven fabric laminates. A static failure progression module is used to predict the damage and failure at the peak load prior to fatigue cycling. Stiffness degradation, fatigue damage accumulation, and failure mode detection are performed during the fatigue marching process. The developed user-defined material model for Abaqus features: 1) description of initial nonlinear shear before the damage initiation; 2) characterization of failure initiation based on a maximum stress criterion; and 3) performance of fatigue damage accumulation using a phenomenological model based on S-N test data. The predictive capabilities of the developed model are demonstrated using tensiontension fatigue of SYNCOGLAS R420 E-glass woven fabrics.

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