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Nakajima, Norihiro; Nishida, Akemi; Miyamura, Hiroko; Iigaki, Kazuhiko; Sawa, Kazuhiro
Kashika Joho Gakkai-Shi (USB Flash Drive), 36(Suppl.2), 4 Pages, 2016/10
Since nuclear power plants have dimensions approximately 100m
and their structures are an assembly made up of over 10 million components, it is not convenient to experimentally analyze its behavior under strong loads of earthquakes, due to the complexity and hugeness of plants. The proposed system performs numerical simulations to evaluate the behaviors of an assembly like a nuclear facility. The paper discusses how to carry out visual analysis for assembly such as nuclear power plants. In a result discussion, a numerical experiment was carried out with a numerical model of High Temperature engineering Test Reactor of Japan Atomic Energy Agency and its result was compared with observed data. A good corresponding among them was obtained as a structural analysis of an assembly by using visualization. As a conclusion, a visual analytics methodology for assembly is discussed.
Furutaka, Kazuyoshi
JAEA-Data/Code 2014-027, 32 Pages, 2015/02
JAEA-Data-Code-2014-027.pdf:7.25MB
A suite of software tools has been developed to facilitate the development of apparatus using a radiation transport simulation code PHITS by enabling 4D visualization (3D space and time) and quantitative analysis of so-called dieaway plots. To deliver useable tools as soon as possible, the existing software was utilized as much as possible; ParaView will be used for the 4D visualization of the results, whereas the analyses of dieaway plots will be done with ROOT toolkit with a tool named "diana". To enable 4D visualization using ParaView, a suite of tools (angel2vtk, DispDCAS1, CamPos) have been developed for the conversion of the data format to the one which can be read from ParaView and to ease the visualization.
Azumi, Masafumi
Purazuma, Kaku Yugo Gakkai-Shi, 80(5), p.378 - 381, 2004/05
Progress of large scale scientific simulation environment in JAERI is briefly described. The expansion of fusion simulation science have been played a key role in the increasing performances of super computers and computer network system in JAERI. Both scalar parallel and vector parallel computer systems are now working in Naka and Tokai sites respectively and, particle and fluid simulation codes developed under the fusion simulation project, NEXT, are running on each system. The storage grid system has been also successfully developed for the effective visualization analysis by remote users. Fusion research is going to enter the new phase of ITER, and the need for the super computer system with higher performance are increasing more than as ever along with the development of reliable simulation models.
Ueshima, Yutaka
JAERI-Conf 2004-003, 62 Pages, 2004/03
JAERI-Conf-2004-003.pdf:6.14MB
no abstracts in English
Suzuki, Yoshio
Gazo Rabo, 2002(11), p.26 - 29, 2002/10
no abstracts in English
Suzuki, Yoshio; Kishimoto, Yasuaki; NEXT Group
Purazuma, Kaku Yugo Gakkai-Shi, 78(1), p.59 - 69, 2002/01
From the year 2000 to 2001, the computer system located on Naka Fusion Research Establishment, Japan Atomic Energy Research Institute has been replaced. Since the main computer is the scalar parallel computer, which is about 40 times superior to the previous one, the amount of data outputted from the numerical simulations becomes much larger. In this paper, which scientific visual analysis system is more useful to extract the physical phenomena from such a large amount of data is investigated and the performance of the established visual analysis system is estimated.
Matsuda, Katsuyuki*; Takemiya, Hiroshi*
JAERI-Data/Code 2001-003, 27 Pages, 2001/03
JAERI-Data-Code-2001-003.pdf:3.33MB
no abstracts in English
Matsuda, Katsuyuki*; Takemiya, Hiroshi*
JAERI-Data/Code 2000-014, p.121 - 0, 2000/02
JAERI-Data-Code-2000-014.pdf:6.36MB
no abstracts in English
Takeda, Takeshi; Kunitomi, Kazuhiko; Okubo, Minoru
Nihon Genshiryoku Gakkai-Shi, 38(4), p.307 - 314, 1996/00
no abstracts in English
Tsuji, Yoshiyuki*; *; *; *; *; *; Matsubayashi, Masahito; Fujine, Shigenori*
Nuclear Instruments and Methods in Physics Research A, 377, p.148 - 152, 1996/00
Times Cited Count：7 Percentile：55.21(Instruments & Instrumentation)no abstracts in English
Akino, Norio
Dai-13-Kai Nihon Netsu Bussei Shimpojiumu Koen Rombunshu, p.273 - 276, 1992/00
no abstracts in English
Nakajima, Norihiro
no journal, ,
A methodology to synthesize the visualizing data is introduced based upon the emergence technique of the artifact engineering. The methodology is applied to the visualization of the results of structure analyses using the finite element method. With the high performance computer, the visualization technology may improve its performance to show what can be observed through the results.
Miyamura, Hiroko
no journal, ,
Big data visualization is a considerable challenge in high-performance computing (HPC) and visualization fields. The simulation data obtained on the HPC side become multidimensional, multivariate, and multi-run data that present a significant challenge in terms of visualization and analysis. In this study, we introduce our scenario of a big data visualization challenge: the visualization of virtual plant vibration simulator results. We calculate these data using HPC and apply batch mode summary visualization and pack data subsets of interest transmission.
