Progressive damage and failure analysis of bonded composite joints at high energy dynamic impacts

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Issue Date
2019-09
Authors
Bhasin, Akhil
Keshavanarayana, Suresh R.
Gomez Valbuena, Luis M.
Kona Ravi, Aswini
Justusson, Brian P.
Olivares, Gerardo
Advisor
Citation

Bhasin, Akhil; Keshavanarayana, Suresh R.; Gomez, Luis; Kona Ravi, Aswini; Justusson, Brian P.; Olivares, Gerardo. 2019. Progressive damage and failure analysis of bonded composite joints at high energy dynamic impacts. 34th Technical Conference of the American Society for Composites, ASC 2019

Abstract

Both wing and fuselage structures utilize bonded composite joints for structural efficiency in modern commercial and military aircraft. To ensure compliance with certification requirements mechanical fasteners are typically used as a failsafe mechanism for appropriate strength in the event of complete stiffener disbond. However, the use of fasteners decreases the structural efficiency of the structure by adding weight. This establishes the requirement to better exploit the efficiency of bonded structures and fully understand the failure behavior of adhesively bonded composite structures, particularly when subjected to elevated loading rates due to high energy dynamic impacts (HEDI). For this reason, the NASA Advanced Composite Consortium (ACC) HEDI team developed an experimentation and numerical modeling program for high rate loading of composite joints [1] [2]. In the present work, the response of adhesively bonded composite joints subjected to elevated loading rates is studied numerically and validated against experimental results. Due to dynamic considerations of experiments, the idea of wedge insert [3] was extended to use with Split Hopkinson Pressure Bar (SHPB) testing techniques. Mode-I and Mode-II test configurations were simulated to evaluate the capability of two continuum damage material (CDM) models in LS-DYNA, namely MAT162 and MAT261 [4]. Three different levels of fidelity were considered to investigate the level of detail required to numerically predict the failure behavior and the results from high fidelity analysis are presented.

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