A real-time GPU-based coupled fluid-structure simulation with haptic interaction

Jiachao Zhang, Shunpei Yuasa, S. Fukuma, S. Mori
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引用次数: 9

Abstract

Time series scientific simulation on supercomputers generates huge amounts of data at each time step. In the big data era, these data become impossible to be stored anymore, so simultaneous analysis of these data is strongly demanded. In order to realize such an on-the-fly intuitive analysis of simulation, this paper showcases a multimodal visualization and steering system with visual and haptic interfaces for a real-time GPU-based coupled fluid-structure simulation. Since the nature of touching sense of human beings requires extremely fast and continuous refreshing to form authentic feeling, parallel techniques were utilized to speed up haptic updating to around one millisecond. A middle-layer interface for a haptic device was developed to realize the ease of use of this device. Furthermore, a model of palpation was proposed to allow users to touch, push and sense the dynamic fluid motion inside a deformable tube.
基于gpu的具有触觉交互的实时耦合流固仿真
在超级计算机上进行的时间序列科学模拟在每个时间步都会产生大量的数据。在大数据时代,这些数据变得不可能再存储,因此强烈要求对这些数据进行同步分析。为了实现这种实时直观的仿真分析,本文展示了一种具有视觉和触觉界面的多模态可视化转向系统,用于基于gpu的实时耦合流固耦合仿真。由于人类的触觉本质上需要非常快速和持续的刷新才能形成真实的感觉,因此利用并行技术将触觉更新速度加快到1毫秒左右。为实现触觉装置的易用性,设计了触觉装置的中间层接口。此外,提出了一种触诊模型,允许用户触摸,推动和感知可变形管内的动态流体运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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