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A Collaborative Virtual Reality System (VRS) with X3D Visualization for RAPID

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Srijith RajamohanAuthors Info & Claims

Web3D '19: Proceedings of the 24th International Conference on 3D Web Technology

Pages 1 - 8

https://doi.org/10.1145/3329714.3338135

Published: 26 July 2019 Publication History

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Abstract

A collaborative Virtual Reality System (VRS) software with X3D interactive visualization has been developed for the RAPID Code System. The software is named “VRS-RAPID”.

VRS-RAPID has several key features including an intuitive and fast input preparation; on-the-fly simulation of nuclear systems using RAPID; 3D, 2D, and tabular visualization of RAPID outputs; nuclear inspection and detection capabilities; and possibility for collaboration of users at different sites. The latter feature provides an excellent capability for training of students and professionals.

Different layers of X3D models are used for the visualization of the nuclear system and to display the code output and the system environment. VRS-RAPID can be accessed via a web browser from a variety of devices, including computers, tablets, and smart-phones. The current version of VRS-RAPID includes databases for simulation of Spent Nuclear Fuel (SNF) Pools, SNF Casks, and nuclear reactor cores. The RAPID code system is developed based on the innovative Multi-stage Response-function Transport (MRT) methodology, that has been thoroughly benchmark and allows for real-time simulation of nuclear systems.

Although developed for coupling with the nuclear code system RAPID, the VRS can be adapted to the modeling and simulation of any physics. The goal of the VRS system is to enable real-time computation and analysis of real-life nuclear systems in a collaborative setting for professionals and students, even far apart from each other; as well as simplifying the input preparation and output processing of complex scientific computing software.

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Qiu SRen HWang DQu YSun J(2024)Research on an educational virtual training system for ship life‐saving appliancesComputer Applications in Engineering Education10.1002/cae.2270832:2Online publication date: 3-Jan-2024
https://doi.org/10.1002/cae.22708
Mascolino VHaghighat A(2023)A Novel Hybrid Deterministic and Monte Carlo Neutron Transport Formulation and Algorithm (tRAPID) for Accurate and Fast 3-D Reactor KineticsNuclear Science and Engineering10.1080/00295639.2023.2197844198:3(592-627)Online publication date: 26-May-2023
https://doi.org/10.1080/00295639.2023.2197844
Korkut ESurer E(2023)Visualization in virtual reality: a systematic reviewVirtual Reality10.1007/s10055-023-00753-827:2(1447-1480)Online publication date: 17-Jan-2023
https://dl.acm.org/doi/10.1007/s10055-023-00753-8
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Published In

Web3D '19: Proceedings of the 24th International Conference on 3D Web Technology

July 2019

131 pages

ISBN:9781450367981

DOI:10.1145/3329714

Conference Chairs:
Nicholas F. Polys
Virginia Tech., U.S.A
,
Mike McCann
Monterey Bay Aquarium Research Institute, U.S.A
,
Program Chairs:
Feng Liu
Mercer University, U.S.A
,
Andreas Plesch
Harvard University, U.S.A

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Association for Computing Machinery

New York, NY, United States

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Published: 26 July 2019

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Web3D '19

Web3D '19: The 24th International Conference on 3D Web Technology

July 26 - 28, 2019

CA, LA, USA

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Qiu SRen HWang DQu YSun J(2024)Research on an educational virtual training system for ship life‐saving appliancesComputer Applications in Engineering Education10.1002/cae.2270832:2Online publication date: 3-Jan-2024
https://doi.org/10.1002/cae.22708
Mascolino VHaghighat A(2023)A Novel Hybrid Deterministic and Monte Carlo Neutron Transport Formulation and Algorithm (tRAPID) for Accurate and Fast 3-D Reactor KineticsNuclear Science and Engineering10.1080/00295639.2023.2197844198:3(592-627)Online publication date: 26-May-2023
https://doi.org/10.1080/00295639.2023.2197844
Korkut ESurer E(2023)Visualization in virtual reality: a systematic reviewVirtual Reality10.1007/s10055-023-00753-827:2(1447-1480)Online publication date: 17-Jan-2023
https://dl.acm.org/doi/10.1007/s10055-023-00753-8
Rau AWalters W(2021)Strategies for Fast Fission Matrix Estimation with Fuel Temperature and Control Rod FeedbackNuclear Science and Engineering10.1080/00295639.2021.1905431195:10(1017-1035)Online publication date: 6-Jul-2021
https://doi.org/10.1080/00295639.2021.1905431

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Experimenting novel virtual-reality immersion strategy to alleviate cybersickness

X3D-Based Virtual Reality Experiences in Water Museum Exhibitions

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