Han, H., Guo, B., Gao, P., Yang, F., Sun, C., Hill, N. A. and Liu, H. (2023) Finite‐element simulation of in‐plane tear propagation in the dissected aorta: implications for the propagation mechanism. International Journal for Numerical Methods in Biomedical Engineering, 39(9), e3743. (doi: 10.1002/cnm.3743) (PMID:37344920)
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Abstract
Computer modeling and numerical simulation are essential for understanding the progression of aortic dissection. However, tear propagation has not been properly modeled and simulated. The in-plane dissection propagation between concentrically distributed elastic lamellae is modeled using the cohesive zone method with a bilinear traction-separation law. The parameters of cohesive elements are calibrated for the three modes of interfacial damage in the media, enabling quantitative predictions of in-plane tear propagation. An idealized cylindrical tube-shaped bilayer thick-wall model of the aorta is employed to elucidate the influence of geometrical parameters, loading conditions and residual stress on the tear propagation. While the model is capable of replicating that deeper, larger tears are associated with lower critical pressure, new findings include: (i) Larger axial stretch leads to lower critical pressure; (ii) Increased magnitude of residual stress is associated with higher critical pressure; (iii) Pressure difference between true and false lumen alters the critical pressure; (iv) The interfacial damage is mostly opening mode in the axial direction, but shear-dominated in the circumferential direction; (v) Damage due to the opening mode is associated with smaller fracture energy, which makes it easier to propagate than the shear and the mixed modes. (vi) The deformed shape of the tear, which is related to its geometrical features and loading conditions, modulates the critical pressure via two pathways: (a) deformed shapes are associated with specific modes of damage, which influences the critical pressure, and (b) deformed shapes modulate the critical pressure directly via geometrical constraints.
| Item Type: | Articles |
|---|---|
| Additional Information: | This work was supported in part by National Natural Science Foundation of China (grant No. 12011530156, 11872267, 82000436, and 82241208) and Science and Technology of Shanghai (21410710500 and 201409004800). The authors were funding in part from Royal Society-Newton Mobility Grant IEC\NSFC\191622. NAH also gratefully acknowledges partial support from EPSRC grants EP/S030875/1 and EP/T017899/1. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Hill, Professor Nicholas |
| Authors: | Han, H., Guo, B., Gao, P., Yang, F., Sun, C., Hill, N. A., and Liu, H. |
| College/School: | College of Science and Engineering > School of Mathematics and Statistics > Mathematics |
| Journal Name: | International Journal for Numerical Methods in Biomedical Engineering |
| Publisher: | Wiley |
| ISSN: | 2040-7939 |
| ISSN (Online): | 2040-7947 |
| Published Online: | 21 June 2023 |
| Copyright Holders: | Copyright © 2023 The Authors |
| First Published: | First published in International Journal for Numerical Methods in Biomedical Engineering 39(9):e3743 |
| Publisher Policy: | Reproduced under a Creative Commons license |
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