Improving the modified global smoothing method for spatial distributed and large data-sets to use it in the real-time visualisation of simulation and measurement information

Gernot Opriessnig, G. Beer
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引用次数: 1

Abstract

With the high-speed development. of computer systems having performance values of calculation machines, which needed one or more rooms of place and a special air conditioning a few years ago, the usage of methods dealing with a high amount of data at one side, and the need of doing a enormous number of calculation work at the other side became used more and more frequently. Tunnelling is one major field, where this advance is very important. That field of science is regarded as one of the more difficult engineering tasks. This is due to the fact that tunnels are excavated in a material whose mechanical and hydraulic properties are highly variable and whose behaviour is difficult to describe to a numerical simulation model. Numerical simulation of tunnel advance can serve as a powerful tool in the design and decision making on site. But this has to be done almost in real-time, that means that the calculation and the necessary post-processing must be finished, before the engineer on site is forced to make his decisions. This circumstance places a very specific challenge to the used hard- and software. This paper describes an algorithm, its development and improvements, which have been done, to find a method of data processing for the purpose of scientific visualisation with the necessary properties.
改进了空间分布大数据集的改进全局平滑方法,将其用于仿真和测量信息的实时可视化
随着高速发展。在几年前需要一个或多个房间和专门的空调的具有计算机性能值的计算机系统中,一边处理大量数据,另一边需要进行大量计算工作的方法的使用越来越频繁。隧道掘进是一个主要领域,这一进展非常重要。这一科学领域被认为是较为困难的工程任务之一。这是由于隧道是在机械和水力性能变化很大的材料中挖掘的,其行为很难用数值模拟模型来描述。隧道超前过程的数值模拟可以作为现场设计和决策的有力工具。但这几乎是实时完成的,这意味着计算和必要的后处理必须在现场工程师被迫做出决定之前完成。这种情况对使用的硬件和软件提出了非常具体的挑战。本文描述了一种算法,它的发展和改进,已经做了,以找到一种数据处理的方法,为科学可视化的目的,具有必要的属性。
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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