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Spatial scaling in multiscale models: methods for coupling agent-based and finite-element models of wound healing

机译:多尺度模型中的空间缩放:耦合剂的基于代理和有限元模型的伤口愈合方法

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Multiscale models that couple agent-based modeling (ABM) and finite-element modeling (FEM) allow the dynamic simulation of tissue remodeling and wound healing, with mechanical environment influencing cellular behaviors even as tissue remodeling modifies mechanics. One of the challenges in coupling ABM to FEM is that these two domains typically employ grid or element sizes that differ by several orders of magnitude. Here, we develop and demonstrate an interpolation-based method for mapping between ABM and FEM domains of different resolutions that is suitable for linear and nonlinear FEM meshes and balances accuracy with computational demands. We then explore the effects of refining the FEM mesh and the ABM grid in the setting of a fully coupled model. ABM grid refinement studies showed unexpected effects of grid size whenever cells were present at a high enough density for crowding to affect proliferation and migration. In contrast to an FE-only model, refining the FE mesh in the coupled model increased strain differences between adjacent finite elements. Allowing strain-dependent feedback on collagen turnover magnified the effects of regional heterogeneity, producing highly nonlinear spatial and temporal responses. Our results suggest that the choice of both ABM grid and FEM mesh density in coupled models must be guided by experimental data and accompanied by careful grid and mesh refinement studies in the individual domains as well as the fully coupled model.
机译:多尺度模型,即基于代理的模型(ABM)和有限元建模(FEM)允许动态模拟组织重塑和伤口愈合,以及机械环境,甚至作为组织重塑改变机械的组织行为。耦合ABM至FEM的挑战之一是这两个域通常采用栅格或元素尺寸,该栅格或元件尺寸不同的几个数量级。在这里,我们开发并展示基于插值的方法,用于在不同分辨率的ABM和FEM结构域之间进行映射,该分辨率适用于线性和非线性有限元网格和与计算需求的准确性平衡。然后,我们探讨了在完全耦合模型的设置中精炼有限元网格和ABM网格的效果。 ABM Grid细化研究表明,每当细胞以足够密度的挤出以影响增殖和迁移的情况下,细胞存在意外的电网尺寸的意外效果。与仅FE模型相比,在耦合模型中精炼FE网格提高了相邻有限元之间的应变差异。允许对胶原蛋白的转变的应变依赖性反馈放大了区域异质性的影响,产生高度非线性空间和时间反应。我们的结果表明,耦合模型中的ABM网格和有效网格密度的选择必须由实验数据引导,并伴随着个人域中的仔细电网和网格细化研究以及完全耦合模型。

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