Multi-level [Formula: see text] -nearest neighbors algorithm for direct point cloud-based engineering analysis [0.03%]
一种多级 knn 点云直接分析算法
Ashton M Corpuz,Monu Jaiswal,Ming-Chen Hsu et al.
Ashton M Corpuz et al.
Point cloud representations are increasingly being used for geometric modeling in science and engineering applications, largely due to the widespread adoption of advanced scanning technologies. While point clouds are highly flexible in repr...
Full-field surrogate modeling of cardiac electrophysiology encoding geometric variability [0.03%]
基于几何变体的心脏电生理全场代理模型化研究
Elena Sabdy Martinez,Beatrice Moscoloni,Matteo Salvador et al.
Elena Sabdy Martinez et al.
Combining physics-based modeling with data-driven methods is critical to enabling the translation of computational methods to clinical use in cardiology. The use of rigorous differential equations combined with machine learning tools allows...
ValveFit: An analysis-suitable B-spline-based surface fitting framework for patient-specific modeling of tricuspid valves [0.03%]
基于B样条的患者特异性三尖瓣建模分析合适表面拟合框架-valvefit
Ajith Moola,Ashton M Corpuz,Michael J Burkhart et al.
Ajith Moola et al.
Patient-specific computational modeling of the tricuspid valve (TV) is vital for the clinical assessment of heart valve diseases. However, this process is hindered by limitations inherent in the medical image data, such as noise and sparsit...
FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method [0.03%]
一种快速且强耦合的三维流-固-生长相互作用方法
Martin R Pfaller,Marcos Latorre,Erica L Schwarz et al.
Martin R Pfaller et al.
Equilibrated fluid-solid-growth (FSGe) is a fast, open source, three-dimensional (3D) computational platform for simulating interactions between instantaneous hemodynamics and long-term vessel wall adaptation through mechanobiologically equ...
Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniques [0.03%]
基于正则化流动和降维技术的改进多保真蒙特卡罗估计器
Andrea Zanoni,Gianluca Geraci,Metteo Salvador et al.
Andrea Zanoni et al.
We study the problem of multifidelity uncertainty propagation for computationally expensive models. In particular, we consider the general setting where the high-fidelity and low-fidelity models have a dissimilar parameterization both in te...
A mechanically consistent unified formulation for fluid-porous-structure-contact interaction [0.03%]
流体-多孔介质-结构-接触相互作用的力学一致性的统一方法
Fannie M Gerosa,Alison L Marsden
Fannie M Gerosa
Fluid-structure interaction with contact poses profound mathematical and numerical challenges, particularly when considering realistic contact scenarios and the influence of surface roughness. Computationally, contact introduces challenges ...
Analysis of 'Investigating an extended multiphase flow model that includes specific interfacial area', Computer Methods in Applied Mechanics and Engineering, 418:116594, 2024 [0.03%]
含特定界面面积的扩展多相流模型的分析——计算机方法与应用力学杂志，2024年，卷418，文章号116594
William G Gray,Cass T Miller
William G Gray
Comments are provided on the recent paper by Ebadi et al. [3], which demonstrates that the formulated model that was solved contains misconceptions or errors that render the work unsuitable for describing the evolution of interfacial areas ...
Aaron L Brown,Matteo Salvador,Lei Shi et al.
Aaron L Brown et al.
In numerical simulations of cardiac mechanics, coupling the heart to a model of the circulatory system is essential for capturing physiological cardiac behavior. A popular and efficient technique is to use an electrical circuit analogy, kno...
Physics-Constrained Data-Driven Variational Method for Discrepancy Modeling [0.03%]
物理约束的数据驱动变分方法用于差异建模
Arif Masud,Sharbel Nashar,Shoaib Goraya
Arif Masud
This paper presents a data-driven discrepancy modeling method that variationally embeds measured data in the modeling and analysis framework. The proposed method exploits the residual between the first-principles theory and sensor-based mea...
Synergistic Integration of Deep Neural Networks and Finite Element Method with Applications of Nonlinear Large Deformation Biomechanics [0.03%]
深度神经网络与有限元法在非线性大变形生物力学中的协同集成
Liang Liang,Minliang Liu,John Elefteriades et al.
Liang Liang et al.
Patient-specific finite element analysis (FEA) holds great promise in advancing the prognosis of cardiovascular diseases by providing detailed biomechanical insights such as high-fidelity stress and deformation on a patient-specific basis. ...