Direct Error in Constitutive Equation Formulation for Plane stress Inverse Elasticity Problem [0.03%]
平面应力逆弹性问题直接误设本构方程误差公式化研究
Olalekan A Babaniyi,Assad A Oberai,Paul E Barbone
Olalekan A Babaniyi
We present a new computational formulation for inverse problems in elasticity with full field data. The formulation is a variant of an error in the constitutive equation formulation, but allows direct solution for the modulus field and acco...
A viscoactive constitutive modeling framework with variational updates for the myocardium [0.03%]
一种用于心肌的具有变分更新的粘活性本构建模框架
A V S Ponnaluri,L E Perotti,D B Ennis et al.
A V S Ponnaluri et al.
We present a constitutive modeling framework for contractile cardiac mechanics by formulating a single variational principle from which incremental stress-strain relations and kinetic rate equations for active contraction and relaxation can...
Immersogeometric cardiovascular fluid-structure interaction analysis with divergence-conforming B-splines [0.03%]
基于散度合规B样条的浸入几何心血管流固耦合分析方法研究
David Kamensky,Ming-Chen Hsu,Yue Yu et al.
David Kamensky et al.
This paper uses a divergence-conforming B-spline fluid discretization to address the long-standing issue of poor mass conservation in immersed methods for computational fluid-structure interaction (FSI) that represent the influence of the s...
Rahul Suvranu De
Rahul Suvranu De
A multi-physics model has been developed to investigate the effects of cellular level mechanisms on the thermomechanical response of ultrasonically activated soft tissue. Cellular level cavitation effects have been incorporated in the tissu...
Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy [0.03%]
基于三维图像的机械模型预测新辅助治疗对乳腺癌的疗效
Jared A Weis,Michael I Miga,Thomas E Yankeelov
Jared A Weis
The use of quantitative medical imaging data to initialize and constrain mechanistic mathematical models of tumor growth has demonstrated a compelling strategy for predicting therapeutic response. More specifically, we have demonstrated a d...
Bridging Proper Orthogonal Decomposition methods and augmented Newton-Krylov algorithms: an adaptive model order reduction for highly nonlinear mechanical problems [0.03%]
基于 proper orthogonal decomposition 方法和增广牛顿－克里洛夫算法的高效非线性结构力学问题模型降阶技术研究
P Kerfriden,P Gosselet,S Adhikari et al.
P Kerfriden et al.
This article describes a bridge between POD-based model order reduction techniques and the classical Newton/Krylov solvers. This bridge is used to derive an efficient algorithm to correct, "on-the-fly", the reduced order modelling of highly...
Comparison and calibration of a real-time virtual stenting algorithm using Finite Element Analysis and Genetic Algorithms [0.03%]
基于有限元分析和遗传算法的血管实时虚拟支架放置方法的比较与校准
K Spranger,C Capelli,G M Bosi et al.
K Spranger et al.
In this paper, we perform a comparative analysis between two computational methods for virtual stent deployment: a novel fast virtual stenting method, which is based on a spring-mass model, is compared with detailed finite element analysis ...
A Modified Error in Constitutive Equation Approach for Frequency-Domain Viscoelasticity Imaging Using Interior Data [0.03%]
基于内部数据的频域粘弹性成像的修正型构造型方程方法
Manuel I Diaz,Wilkins Aquino,Marc Bonnet
Manuel I Diaz
This paper presents a methodology for the inverse identification of linearly viscoelastic material parameters in the context of steady-state dynamics using interior data. The inverse problem of viscoelasticity imaging is solved by minimizin...
Isogeometric Kirchhoff-Love shell formulations for biological membranes [0.03%]
用于生物膜的等几何Kirchhoff-Love壳模型公式化研究
Adrián Buganza Tepole,Hardik Kabaria,Kai-Uwe Bletzinger et al.
Adrián Buganza Tepole et al.
Computational modeling of thin biological membranes can aid the design of better medical devices. Remarkable biological membranes include skin, alveoli, blood vessels, and heart valves. Isogeometric analysis is ideally suited for biological...
Reliable and efficient a posteriori error estimation for adaptive IGA boundary element methods for weakly-singular integral equations [0.03%]
一种可靠的自适应IGA边界元方法的后验误差估计及其在弱奇异积分方程中的应用研究
Michael Feischl,Gregor Gantner,Dirk Praetorius
Michael Feischl
We consider the Galerkin boundary element method (BEM) for weakly-singular integral equations of the first-kind in 2D. We analyze some residual-type a posteriori error estimator which provides a lower as well as an upper bound for the unkno...