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A computational model for understanding the micro-mechanics of collagen fiber network in the tunica adventitia

机译:理解Tunica Adventitia中胶原纤维网络微型机械的计算模型

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Abdominal aortic aneurysm is a prevalent cardiovascular disease with high mortality rates. The mechanical response of the arterial wall relies on the organizational and structural behavior of its microstructural components, and thus, a detailed understanding of the microscopic mechanical response of the arterial wall layers at loads ranging up to rupture is necessary to improve diagnostic techniques and possibly treatments. Following the common notion that adventitia is the ultimate barrier at loads close to rupture, in the present study, a finite element model of adventitial collagen network was developed to study the mechanical state at the fiber level under uniaxial loading. Image stacks of the rabbit carotid adventitial tissue at rest and under uniaxial tension obtained using multi-photon microscopy were used in this study, as well as the force-displacement curves obtained from previously published experiments. Morphological parameters like fiber orientation distribution, waviness, and volume fraction were extracted for one sample from the confocal image stacks. An inverse random sampling approach combined with a random walk algorithm was employed to reconstruct the collagen network for numerical simulation. The model was then verified using experimental stress-stretch curves. The model shows the remarkable capacity of collagen fibers to uncrimp and reorient in the loading direction. These results further show that at high stretches, collagen network behaves in a highly non-affine manner, which was quantified for each sample. A comprehensive parameter study to understand the relationship between structural parameters and their influence on mechanical behavior is presented. Through this study, the model was used to conclude important structure-function relationships that control the mechanical response. Our results also show that at loads close to rupture, the probability of failure occurring at the fiber level is up to 2%. Uncertainties in usually employed ruptu
机译:腹主动脉瘤是一种普遍存在的心血管疾病,死亡率高。动脉壁的机械响应依赖于其微观结构部件的组织和结构行为,因此,需要详细了解在负载下测量的动脉壁层的显微机械响应,以改善诊断技术和可能的治疗是必要的。在普通观念之后,Adventitia是在载荷接近破裂的载荷的最终屏障之后,在本研究中,开发了一种有限元胶原网络的有限元模型,以在单轴载荷下研究纤维水平的机械状态。在本研究中使用了休息和在单轴张力下,使用多光子显微镜获得的单轴张力下的图像堆叠,以及从先前公布的实验中获得的力 - 位移曲线。从共聚焦图像堆叠中提取一种样品等纤维取向分布,波纹和体积分数等形态学参数。使用与随机步行算法结合的逆随机采样方法来重建胶原网络以进行数值模拟。然后使用实验应力拉伸曲线验证该模型。该模型显示了胶原纤维的显着容量,以在装载方向上取消提味并重新定位。这些结果进一步表明,在高伸展时,胶原蛋白网络以高度非仿射方式行使,其为每个样品定量。介绍了了解结构参数与其对机械行为影响的综合参数研究。通过本研究,该模型用于得出控制机械响应的重要结构功能关系。我们的结果还表明,在载荷接近破裂时,纤维水平发生的故障可能性高达2%。通常雇用的不确定性

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