Title: Probabilistic Sensitivity Studies of Open-Hole Tension Composite Damage Models

Authors: Matthew L. Kirby, David S. Riha, and Marcus L. Stanfield

DOI: 10.33599/nasampe/s.22.0694

Abstract: Accurate damage predictions for aerospace composite structures has the potential to reduce risk of new designs and inform decisions about damaged or aging structures. Progressive damage analysis methodologies attempt to address the complexity of damage in composites by modeling damage evolution and interaction phenomena. Costly standard and non-standard testing is required in order to calibrate certain parameters in these progressive damage models. Also, to account for significant uncertainties in these material parameters, multiple coupons need to be tested for each material property parameter. Thus, there is an acute need to reduce cost and testing time for composites material progressive damage analysis model calibration while increasing the accuracy of predictions. The objective of this research is to quantify the influence of uncertain input parameters on predicting the maximum failure load of open-hole tension coupon experiments. The BSAM progressive damage analysis software tool, which uses discrete damage modeling and mesh independent cracking to model progressive damage, is being exercised to perform sensitivity analysis to understand the impact of uncertainties.

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Conference: SAMPE 2022

Publication Date: 2022/05/23

SKU: TP22-0000000694

Pages: 17

Price: $34.00