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GoldSim : ウィキペディア英語版
GoldSim

GoldSim is dynamic, probabilistic simulation software developed by GoldSim Technology Group.
This general-purpose simulator is a hybrid of several simulation approaches, combining an extension of system dynamics with some aspects of discrete event simulation, and embedding the dynamic simulation engine within a Monte Carlo simulation framework.
While it is a general-purpose simulator, GoldSim has been most extensively used for environmental and engineering risk analysis, with applications in the areas of water resource management

Alfred Kalyanapu, Jason Lillywhite, Brantley Thames and Ebrahim Ahmadisharaf (2014),(Probabilistic Analysis To Evaluate The Effects Of Dam Breach Methodologies On Downstream Flood Hazard ), ''Proceedings of the World Environmental & Water Resources Congress 2014'', Portland, Oregon.


Erfan Goharian and Steven J. Burian (2014), (Integrated Urban Water Resources Modeling In A Semi-Arid Mountainous Region Using A Cyberinfrastructure Framework ), ''Proceedings of the 11th International Conference on Hydroinformatics, HIC 2014'', New York, New York.


Eset Alemu, Richard Palmer, Austin Polebitski and Bruce Meaker (2011), (Decision Support System for Optimizing Reservoir Operations Using Ensemble Streamflow Predictions ), ''Journal of Water Resources Planning and Management'', 137(1), 72–82.


Michel Raymond (2014), (Wivenhoe Somerset Dam Optimisation Study – Simulating Dam Operations for Numerous Floods ), ''Proceedings of Australian National Committee on Large Dams (ANCOLD) Annual Conference 2014'', Canberra, Australia.

,〔
Luke Toombes and Rob Ayre (2014), (Holistic Dam Operations Assessment for Southeast Queensland ), ''Proceedings of Australian National Committee on Large Dams (ANCOLD) Annual Conference 2014'', Canberra, Australia.

mining

Brent Usher, Roald Strand, Chris Strachotta and Jim Jackson (2010), (Linking Fundamental Geochemistry And Empirical Observations For Water Quality Predictions Using GoldSim ), Brazil, ''Proceedings of IMWA 2010, "Mine Water and Innovative Thinking"'', Wolkersdorfer. Ch. and Freund, A., p 313-316, Sydney, Nova Scotia, Canada.


Ted Eary, Jody Eshleman, Ryan Jakubowski and Andrew Watson (2008), (Applying Numerical Hydrochemical Models as Decision Support Tools for Mine Closure Planning ), presented at ''Tailings and Mine Waste ’08'', October 19–22, 2008, Vail, Colorado.

,〔
Lisa Wade (2014), (A Probabilistic Water Balance ), Dissertation for Montana Tech of The University of Montana, Copyright ProQuest, UMI Dissertations Publishing 2014.

radioactive waste management

David Ewing Duncan (2003), (Do or Die at Yucca Mountain ), ''Wired Magazine'', Issue 11.04, April 2003.


Patrick D. Mattie, Robert G. Knowlton & Bill W. Arnold. (2007). (A User’s Guide to the GoldSim/BLT-MS Integrated Software Package: A Low-Level Radioactive Waste Disposal Performance Assessment Model ). ''Sandia Report (SAND2007-1354)''


D. Vopálka, D. Lukin and A. Vokál (2006), (Modelling of processes occurring in deep geological repository — development of new modules in the GoldSim environment ), ''Czechoslovak Journal of Physics'', Volume 56, Supplement 4 / December, 2006.


Chris Markley et al. (2011), (SOAR: A Model For Scoping Of Options And Analyzing Risk Version 1.0 User Guide ), Prepared for U.S. Nuclear Regulatory Commission Contract No. NRC–02–07–006, August 2011.

,〔
Jose Luis Cormenzana (2013), (Probabilistic Sensitivity Analysis for the “Initial Defect in the Canister” Reference Model ), Workreport 2013-25, Posiva Oy, Eurajoki, Finland.

geological carbon sequestration
,〔
Philip H. Stauffer, Hari S. Viswanathan, Rajesh J. Pawar and George D. Guthrie (2009), (A System Model for Geologic Sequestration of Carbon Dioxide ), ''Environ. Sci. Technol.'', 2009, 43 (3), pp 565–570.

aerospace mission risk analysis

Donovan L. Mathias, Susie Go, Ken Gee, and Scott Lawrence (2008), (Simulation Assisted Risk Assessment Applied to Launch Vehicle Conceptual Design ), ''NASA Center for AeroSpace Information (CASI).''

and energy.〔
Steven P. Miller, Jennifer E. Granata and Joshua S. Stein (2012), (The Comparison of Three Photovoltaic System Designs Using the Photovoltaic Reliability and Performance Model (PV-RPM) ), Sandia Report SAND2012-10342, Sandia National Laboratories, Albuquerque, New Mexico.

==History==

In 1990, Golder Associates, an international engineering consulting firm, was asked by the United States Department of Energy (DOE) to develop probabilistic simulation software that could be used to help with decision support and management within the Office of Civilian Radioactive Waste Management. The results of this effort were two DOS-based programs (RIP and STRIP), which were used to support radioactive waste management projects within the DOE.
In 1996, in an effort funded by Golder Associates, the US DOE, the Japan Nuclear Cycle Development Institute (currently the Japan Atomic Energy Agency) and the Spanish National Radioactive Waste Company (ENRESA), the capabilities of RIP and STRIP were incorporated into a general purpose Windows-based simulator called GoldSim. Subsequent funding was also provided by NASA.
Initially only offered to the original funding organizations, GoldSim was released to the public in 2002. In 2004, GoldSim Technology Group LLC was spun off from Golder Associates and is now a wholly independent company.〔(Golder Associates Launches Independent Software Company Based on GoldSim Software ) (2004), ''Water & Wastes DIGEST''〕
Notable applications include providing the simulation framework for: 1) the Yucca Mountain Repository Performance Assessment model developed by Sandia National Laboratories;〔 2) a comprehensive system-level computational model for performance assessment of geological sequestration of CO2 developed by Los Alamos National Laboratory;〔 3) a flood operations model to help better understand and fine tune operations of a large dam used for water supply and flood control in Queensland, Australia;〔〔 and 4) models for simulating risks associated with future manned space missions in NASA’s Constellation program developed by NASA Ames Research Center.〔

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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