Model order reduction of thermo-mechanical models with parametric convective boundary conditions: focus on machine tools [0.03%]
含参强制对流边界条件的热-力学模型降阶：以机床为例
Pablo Hernández-Becerro,Daniel Spescha,Konrad Wegener
Pablo Hernández-Becerro
Thermo-mechanical finite element (FE) models predict the thermal behavior of machine tools and the associated mechanical deviations. However, one disadvantage is their high computational expense, linked to the evaluation of the large system...
A constrained spline dynamics (CSD) method for interactive simulation of elastic rods [0.03%]
弹性绳索交互仿真的约束样条方法
Karthikeyan Panneerselvam,Rahul,Suvranu De
Karthikeyan Panneerselvam
In this paper, we present constrained spline dynamics (CSD) as a unified framework for the elastodynamic simulation of elastic rods subjected to constraints at interactive rates. The geometry of the rod and its kinematics are discretized us...
Characterization of partially observed epidemics through Bayesian inference: application to COVID-19 [0.03%]
通过贝叶斯推断对部分观测流行病进行刻画：应用于COVID-19
Cosmin Safta,Jaideep Ray,Khachik Sargsyan
Cosmin Safta
We demonstrate a Bayesian method for the "real-time" characterization and forecasting of partially observed COVID-19 epidemic. Characterization is the estimation of infection spread parameters using daily counts of symptomatic patients. The...
A Bayesian estimation method for variational phase-field fracture problems [0.03%]
一种用于变分相场断裂问题的贝叶斯估计方法
Amirreza Khodadadian,Nima Noii,Maryam Parvizi et al.
Amirreza Khodadadian et al.
In this work, we propose a parameter estimation framework for fracture propagation problems. The fracture problem is described by a phase-field method. Parameter estimation is realized with a Bayesian approach. Here, the focus is on uncerta...
Correction to: System inference for the spatio-temporal evolution of infectious diseases: Michigan in the time of COVID-19 [0.03%]
更正：用于传染病时空演变系统推理的模型：COVID-19时期的密歇根州
Z Wang,X Zhang,G H Teichert et al.
Z Wang et al.
[This corrects the article DOI: 10.1007/s00466-020-01894-2.]. © Springer-Verlag GmbH Germany, part of Springer Nature 2020.
Published Erratum
Computational mechanics. 2020;66(5):1177. DOI:10.1007/s00466-020-01925-y 2020
Dynamics identification and forecasting of COVID-19 by switching Kalman filters [0.03%]
通过切换卡尔曼滤波器对COVID-19的动态识别与预测
Xiaoshu Zeng,Roger Ghanem
Xiaoshu Zeng
The COVID-19 pandemic has captivated scientific activity since its early days. Particular attention has been dedicated to the identification of underlying dynamics and prediction of future trend. In this work, a switching Kalman filter form...
Kevin Linka,Proton Rahman,Alain Goriely et al.
Kevin Linka et al.
A key strategy to prevent a local outbreak during the COVID-19 pandemic is to restrict incoming travel. Once a region has successfully contained the disease, it becomes critical to decide when and how to reopen the borders. Here we explore ...
Tarek I Zohdi,Ellen Kuhl
Tarek I Zohdi
Diffusion-reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study [0.03%]
基于连续介质力学框架制定的扩散-反应隔室模型：COVID-19的应用、数学分析和数值研究
Alex Viguerie,Alessandro Veneziani,Guillermo Lorenzo et al.
Alex Viguerie et al.
The outbreak of COVID-19 in 2020 has led to a surge in interest in the research of the mathematical modeling of epidemics. Many of the introduced models are so-called compartmental models, in which the total quantities characterizing a cert...
Rainald Löhner,Harbir Antil,Sergio Idelsohn et al.
Rainald Löhner et al.
A summary is given of the mechanical characteristics of virus contaminants and the transmission via droplets and aerosols. The ordinary and partial differential equations describing the physics of these processes with high fidelity are pres...