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Advanced Modeling and Simulation in Engineering Sciences最新文献

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GPU-friendly data structures for real time simulation. gpu友好的实时模拟数据结构。
Q3 MECHANICS Pub Date : 2021-01-01 Epub Date: 2021-03-27 DOI: 10.1186/s40323-021-00192-7
Vincent Magnoux, Benoît Ozell

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 as would be needed for performing tumor resection. A common method for achieving large performance improvements is to make use of the graphics hardware (GPU) available on most general-use computers. Programming GPUs requires data structures that are more rigid than on conventional processors (CPU), making that data more difficult to update. We propose a new method for structuring graph data, which is commonly used for physically based simulation of soft tissue during surgery, and deformable objects in general. Our method aligns all nodes of the graph in memory, independently from the number of edges they contain, allowing for local modifications that do not affect the rest of the structure. Our method also groups memory transfers so as to avoid updating the entire graph every time a small cut is introduced in a simulated organ. We implemented our data structure as part of a simulator based on a meshless method. Our tests show that the new GPU implementation, making use of the new graph structure, achieves a 10 times improvement in computation times compared to the previous CPU implementation. The grouping of data transfers into batches allows for a 80-90% reduction in the amount of data transferred for each graph update, but accounts only for a small improvement in performance. The data structure itself is simple to implement and allows simulating increasingly complex models that can be cut at interactive rates.

用于虚拟外科训练的模拟器需要非常快速地执行复杂的计算,以便与用户提供真实的触觉和视觉交互。由于需要对虚拟器官进行切割,例如进行肿瘤切除,因此进一步增加了复杂性。实现大幅度性能改进的一种常见方法是利用大多数通用计算机上可用的图形硬件(GPU)。编程gpu需要比传统处理器(CPU)更严格的数据结构,这使得数据更难以更新。我们提出了一种构造图形数据的新方法,该方法通常用于手术期间软组织和一般可变形物体的基于物理的模拟。我们的方法在内存中对齐图的所有节点,独立于它们包含的边的数量,允许局部修改,而不影响结构的其余部分。我们的方法还对记忆传输进行分组,以避免每次在模拟器官中引入一个小切口时更新整个图。我们将数据结构作为基于无网格方法的模拟器的一部分来实现。我们的测试表明,新的GPU实现,利用新的图结构,在计算时间上比以前的CPU实现提高了10倍。将数据传输分组成批可以减少每次图更新传输的数据量80-90%,但只对性能有很小的提高。数据结构本身很容易实现,并允许模拟日益复杂的模型,这些模型可以以交互速率切割。
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引用次数: 2
Phase-inherent linear visco-elasticity model for infinitesimal deformations in the multiphase-field context 多相场环境下无穷小变形的相固有线性粘弹性模型
Q3 MECHANICS Pub Date : 2020-12-01 DOI: 10.1186/s40323-020-00178-x
Felix K. Schwab, A. Reiter, C. Herrmann, D. Schneider, B. Nestler
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引用次数: 1
Finite cell method for functionally graded materials based on V-models and homogenized microstructures 基于v型模型和均质微结构的功能梯度材料有限单元法
Q3 MECHANICS Pub Date : 2020-12-01 DOI: 10.1186/s40323-020-00182-1
B. Wassermann, N. Korshunova, S. Kollmannsberger, E. Rank, G. Elber
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引用次数: 2
Application of an iterative Golub-Kahan algorithm to structural mechanics problems with multi-point constraints 迭代Golub-Cahan算法在多点约束结构力学问题中的应用
Q3 MECHANICS Pub Date : 2020-11-17 DOI: 10.1186/s40323-020-00181-2
C. Kruse, V. Darrigrand, N. Tardieu, M. Arioli, U. Rüde
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引用次数: 3
A firefly algorithm based hybrid method for structural topology optimization 一种基于萤火虫算法的结构拓扑优化混合方法
Q3 MECHANICS Pub Date : 2020-11-16 DOI: 10.1186/s40323-020-00183-0
Hailu Shimels Gebremedhen, D. Woldemichael, F. M. Hashim
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引用次数: 5
Constrained multi-fidelity surrogate framework using Bayesian optimization with non-intrusive reduced-order basis 基于非侵入性降阶基的贝叶斯优化约束多保真代理框架
Q3 MECHANICS Pub Date : 2020-11-12 DOI: 10.1186/s40323-020-00176-z
Hanane Khatouri, T. Benamara, P. Breitkopf, Jean Demange, Paul Feliot
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引用次数: 2
Compressible flow simulation with moving geometries using the Brinkman penalization in high-order Discontinuous Galerkin 基于高阶不连续伽辽金的Brinkman惩罚的运动几何可压缩流动模拟
Q3 MECHANICS Pub Date : 2020-10-21 DOI: 10.21203/rs.3.rs-93466/v1
N. E. Pour, Anand Nikhil, H. Klimach, S. Roller
In this work we investigate the Brinkman volume penalization technique in the context of a high-order Discontinous Galerkin method to model moving wall boundaries for compressible fluid flow simulations. High-order approximations are especially of interest as they require few degrees of freedom to represent smooth solutions accurately. This reduced memory consumption is attractive on modern computing systems where the memory bandwidth is a limiting factor. Due to their low dissipation and dispersion they are also of particular interest for aeroacoustic problems. However, a major problem for the high-order discretization is the appropriate representation of wall geometries. In this work we look at the Brinkman penalization technique, which addresses this problem and allows the representation of geometries without modifying the computational mesh. The geometry is modelled as an artificial porous medium and embedded in the equations. As the mesh is independent of the geometry with this method, it is not only well suited for high-order discretizations but also for problems where the obstacles are moving. We look into the deployment of this strategy by briefly discussing the Brinkman penalization technique and its application in our solver and investigate its behavior in fundamental one-dimensional setups, such as shock reflection at a moving wall and the formation of a shock in front of a piston. This is followed by the application to setups with two and three dimensions, illustrating the method in the presence of curved surfaces.
在这项工作中,我们研究了Brinkman体积惩罚技术在高阶不连续伽辽金方法的背景下,模拟可压缩流体流动模拟的移动壁面边界。高阶近似是特别有趣的,因为它们需要很少的自由度来准确地表示光滑解。这种减少的内存消耗在内存带宽是一个限制因素的现代计算系统上很有吸引力。由于它们的低耗散和色散,它们也对气动声学问题特别感兴趣。然而,高阶离散化的一个主要问题是墙体几何形状的适当表示。在这项工作中,我们研究了Brinkman惩罚技术,它解决了这个问题,并允许在不修改计算网格的情况下表示几何形状。几何结构被模拟为人工多孔介质并嵌入到方程中。由于网格与几何无关,该方法不仅适用于高阶离散,而且适用于障碍物运动的问题。我们通过简要讨论Brinkman惩罚技术及其在求解器中的应用来研究该策略的部署,并研究其在基本一维设置中的行为,例如运动壁面的冲击反射和活塞前方冲击的形成。接下来是二维和三维设置的应用,说明了存在曲面的方法。
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引用次数: 1
FErdocumentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$${text {FE}}^r$$end{document} method with surrogate localization m FErdocumentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$${text {FE}}^r$$end{document} method with surrogate localization m
Q3 MECHANICS Pub Date : 2020-10-06 DOI: 10.1186/s40323-020-00175-0
Ryoichi Hatano, S. Matsubara, Shuji Moriguchi, K. Terada, J. Yvonnet
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引用次数: 1
Computational homogenization of transient chemo-mechanical processes based on a variational minimization principle 基于变分最小化原理的瞬态化学-力学过程的计算均匀化
Q3 MECHANICS Pub Date : 2020-07-25 DOI: 10.1186/s40323-020-00161-6
E. Polukhov, Marc‐André Keip
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引用次数: 7
Correction to: Enhanced numerical integration scheme based on image-compression techniques: application to fictitious domain methods 修正:基于图像压缩技术的增强数值积分方案:在虚拟域方法中的应用
Q3 MECHANICS Pub Date : 2020-07-09 DOI: 10.1186/s40323-020-00165-2
Márton Petö, F. Duvigneau, Sascha Eisenträger
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引用次数: 0
期刊
Advanced Modeling and Simulation in Engineering Sciences
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