4.6 Article

A novel recursive multi-scale modeling for predicting the burst pressure of filament wound composite pressure vessels

Journal

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00339-022-05505-0

Keywords

Filament winding; Multi-scale modeling; Manufacturing inconsistencies; Computational modeling; Progressive damage modeling

Ask authors/readers for more resources

A novel recursive multi-scale modeling approach is developed to predict the burst pressure in filament wound composite pressure vessels. The modeling considers the micro, meso, and macro scales, and takes into account the imperfections in fiber arrangement. It starts from the micro scale, simulating fiber spacing and contiguity, and progresses to the meso scale to capture the influence of fiber-bundle undulation and crossovers. Finally, it analyzes the stress/strain distribution on each layer at the macro scale.
A novel recursive multi-scale modeling is developed for the purpose of predicting the burst pressure in filament wound composite pressure vessels. The modeling covers all scales of micro, meso and macro and the unavoidable imperfections associated with fiber arrangement during the filament winding process are taken into account. The modeling starts from the scale of micro where fiber spacing and fiber contiguity are simulated. Then at the scale of meso as an in-between scale, the influence of fiber-bundle undulation, crossovers and overlaps are captured. At the final scale of macro, the distribution of stress/strain on each layer is analyzed. After accomplishment of bottom-up modeling, a top-down modeling is implemented. The obtained stress/strain are downscaled from macro to meso and from meso to micro to extract individual stress components on fiber and resin. The failure occurrence is investigated using micro-failure criteria and progressive damage modeling. The recursive modeling procedure repeats till the complete failure of the vessel.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available