Title: Prediction of Fatigue Failure in Fibrous Composites Using the Reduced-Order Multiscale Discrete Damage Theory

Authors: Zimu Su and Caglar Oskay

DOI: 10.33599/nasampe/s.19.1430

Abstract: We propose a physics-based, multiscale computational modeling framework for prediction of damage accumulation and failure in fiber-reinforced polymer composites subjected to fatigue. The proposed framework is multiscale in space and in time; and employs the principles of the mathematical homogenization theory. The spatial multiscaling is introduced to model the progressive damage accumulation at the scale of the composite constituents, and to bridge the damage information to the scale of a structural component. In order to alleviate the outstanding issues related to multiscale modeling of fracture processes (i.e., computational cost, mesh objectivity, existence of RVE), we propose the reduced order multiscale discrete damage theory (MDDT). MDDT tracks the evolution of failure at microscale at a set of potential “failure paths” and consistently bridges the failure information to the structural scale using length scale-dependent operators. The temporal multiscaling is introduced to efficiently describe the long-term evolution of damage under cyclic loading conditions, leveraging the time scale disparity between a single characteristic load cycle and the overall life of a structural component. The efficacy of the multiscale framework is demonstrated in the context of prediction of fatigue crack initiation in unnotched and open-hole specimens subjected to fatigue loading.

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Conference: SAMPE 2019 - Charlotte, NC

Publication Date: 2019/05/20

SKU: TP19--1430

Pages: 12

Price: FREE