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一种用于控制生长诱导残余应力的松弛生长建模框架。

A relaxed growth modeling framework for controlling growth-induced residual stresses.

作者信息

Genet M

机构信息

Laboratoire de Mécanique des Solides, École Polytechnique/Institut Polytechnique de Paris/CNRS, Palaiseau, France; M3DISIM Team, INRIA/Université Paris-Saclay, Palaiseau, France.

出版信息

Clin Biomech (Bristol). 2019 Dec;70:270-277. doi: 10.1016/j.clinbiomech.2019.08.015. Epub 2019 Aug 31.

DOI:10.1016/j.clinbiomech.2019.08.015
PMID:31831206
Abstract

BACKGROUND

Constitutive models of the mechanical response of soft tissues have been established and are widely accepted, but models of soft tissues remodeling are more controversial. Specifically for growth, one important question arises pertaining to residual stresses: existing growth models inevitably introduce residual stresses, but it is not entirely clear if this is physiological or merely an artifact of the modeling framework. As a consequence, in simulating growth, some authors have chosen to keep growth-induced residual stresses, and others have chosen to remove them.

METHODS

In this paper, we introduce a novel "relaxed growth" framework allowing for a fine control of the amount of residual stresses generated during tissue growth. It is a direct extension of the classical framework of the multiplicative decomposition of the transformation gradient, to which an additional sub-transformation is introduced in order to let the original unloaded configuration evolve, hence relieving some residual stresses. We provide multiple illustrations of the framework mechanical response, on time-driven constrained growth as well as the strain-driven growth problem of the artery under internal pressure, including the opening angle experiment.

FINDINGS

The novel relaxed growth modeling framework introduced in this paper allows for a better control of growth-induced residual stresses compared to standard growth models based on the multiplicative decomposition of the transformation gradient.

INTERPRETATION

Growth-induced residual stresses should be better handled in soft tissues biomechanical models, especially in patient-specific models of diseased organs that are aimed at augmented diagnosis and treatment optimization.

摘要

背景

软组织力学响应的本构模型已经建立并被广泛接受,但软组织重塑模型更具争议性。具体而言,对于生长,一个与残余应力相关的重要问题出现了:现有的生长模型不可避免地会引入残余应力,但尚不完全清楚这是生理性的还是仅仅是建模框架的产物。因此,在模拟生长时,一些作者选择保留生长诱导的残余应力,而另一些作者则选择消除它们。

方法

在本文中,我们引入了一种新颖的“松弛生长”框架,该框架能够精细控制组织生长过程中产生的残余应力的量。它是变换梯度乘法分解经典框架的直接扩展,在该框架中引入了一个额外的子变换,以使原始无载构型演化,从而减轻一些残余应力。我们提供了该框架力学响应的多个示例,包括时间驱动的约束生长以及动脉在内压下的应变驱动生长问题,包括开口角实验。

研究结果

与基于变换梯度乘法分解的标准生长模型相比,本文引入的新型松弛生长建模框架能够更好地控制生长诱导的残余应力。

解读

在软组织生物力学模型中,尤其是在旨在增强诊断和优化治疗的患病器官的患者特异性模型中,应更好地处理生长诱导的残余应力。

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