Improved accuracy of continuum surface flux models for metal additive manufacturing melt pool simulations [0.03%]
提高金属增材制造熔池模拟连续体自由面模型的精度
Nils Much,Magdalena Schreter-Fleischhacker,Peter Munch et al.
Nils Much et al.
Computational modeling of the melt pool dynamics in laser-based powder bed fusion metal additive manufacturing (PBF-LB/M) promises to shed light on fundamental mechanisms of defect generation. These processes are accompanied by rapid evapor...
Clément Vella,Pierre Gosselet,Serge Prudhomme
Clément Vella
We propose in this paper a Proper Generalized Decomposition (PGD) solver for reduced-order modeling of linear elastodynamic problems. It primarily focuses on enhancing the computational efficiency of a previously introduced PGD solver based...
Deep convolutional architectures for extrapolative forecasts in time-dependent flow problems [0.03%]
基于深度卷积架构的时变流问题外推预测方法
Pratyush Bhatt,Yash Kumar,Azzeddine Soulaïmani
Pratyush Bhatt
Physical systems whose dynamics are governed by partial differential equations (PDEs) find numerous applications in science and engineering. The process of obtaining the solution from such PDEs may be computationally expensive for large-sca...
Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders [0.03%]
基于深度空间和时间卷积自编码器的随机大规模及时变流动问题降阶建模方法研究
Azzedine Abdedou,Azzeddine Soulaimani
Azzedine Abdedou
A non-intrusive reduced-order model based on convolutional autoencoders is proposed as a data-driven tool to build an efficient nonlinear reduced-order model for stochastic spatiotemporal large-scale flow problems. The objective is to perfo...
A "data-driven uncertainty" computational method to model and predict instabilities of a frictional system [0.03%]
一种基于“数据驱动不确定性”的计算方法以模拟和预测摩擦系统的失稳现象
Farouk Maaboudallah,Noureddine Atalla
Farouk Maaboudallah
Most of the recently developed methods for predicting instabilities of frictional systems couple stochastic algorithms with the finite element method (FEM). They use random variables to model the uncertainty of input parameters through stan...
Vincent Magnoux,Benoît Ozell
Vincent Magnoux
Simulators for virtual surgery training need to perform complex calculations very quickly to provide realistic haptic and visual interactions with a user. The complexity is further increased by the addition of cuts to virtual organs, such a...
A flexible framework for sequential estimation of model parameters in computational hemodynamics [0.03%]
一种用于计算血动力学模型参数序列估计的灵活框架
Christopher J Arthurs,Nan Xiao,Philippe Moireau et al.
Christopher J Arthurs et al.
A major challenge in constructing three dimensional patient specific hemodynamic models is the calibration of model parameters to match patient data on flow, pressure, wall motion, etc. acquired in the clinic. Current workflows are manual a...
A Ferrer,J Oliver,J C Cante et al.
A Ferrer et al.
The work deals on computational design of structural materials by resorting to computational homogenization and topological optimization techniques. The goal is then to minimize the structural (macro-scale) compliance by appropriately desig...
An unstructured immersed finite element method for nonlinear solid mechanics [0.03%]
基于不结构网格的有限元离散嵌入几何方法及其在非线性固体力学中的应用
Thomas Rüberg,Fehmi Cirak,José Manuel García Aznar
Thomas Rüberg
We present an immersed finite element technique for boundary-value and interface problems from nonlinear solid mechanics. Its key features are the implicit representation of domain boundaries and interfaces, the use of Nitsche's method for ...
Convergence study of the h-adaptive PUM and the hp-adaptive FEM applied to eigenvalue problems in quantum mechanics [0.03%]
基于量子力学本征值问题的PUM的h自适应方法和FEM的hp自适应方法的收敛研究
Denis Davydov,Tymofiy Gerasimov,Jean-Paul Pelteret et al.
Denis Davydov et al.
In this paper the h-adaptive partition-of-unity method and the h- and hp-adaptive finite element method are applied to eigenvalue problems arising in quantum mechanics, namely, the Schrödinger equation with Coulomb and harmonic potentials,...