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Filtering by: Date 2013 Remove constraint Date: 2013 Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.) Subject Monte Carlo method Remove constraint Subject: Monte Carlo method

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An MCNP benchmark model of the large experimental ZPPR-19B sodium fast reactor

Creator:

Onufer, Mark

Abstract:

The International Handbook of Evaluated Reactor Physics Benchmark Experiments contains detailed descriptions of many different reactor facilities. A large portion of these experiments have not been fully modeled due to the unavailability of computational power at the time of the experiment’s execution. With the advent of renewed interest in Sodium...

Resource Type:

Masters Thesis
Simulating extreme total water levels using a time-dependent, extreme value approach

Creator:

Serafin, Katherine A.

Abstract:

Coastal flood hazard zones and the design of coastal defenses are often devised using either the maximum recorded total water level (TWL) or a 'design' event such as the 100-year return-level flood, usually projected from observed extreme events. Despite technological advances driving more consistent instrumental records of wave heights and...

Resource Type:

Masters Thesis
Rank and linear correlation differences in simulation and other applications

Creator:

Agahi, Maryam

Abstract:

Monte Carlo simulation is used to quantify and characterize uncertainty in a variety of applications such as financial/engineering economic analysis, and project management. The dependence or correlation between the random variables modeled can also be simulated to add more accuracy to simulations. However, there exists a difference between how correlation...

Resource Type:

Masters Thesis
Hybrid classical-quantum dose computation method for radiation therapy treatment planning

Creator:

Colburn, Gabriel G.

Abstract:

Radiation therapy treatment planning and optimization requires accurate, precise, and fast computation of absorbed dose to all critical and target volumes in a patient. A new method for speeding up the computational costs of Monte Carlo dose calculations is described that employs a hybrid classical-quantum computing architecture. Representative results are...

Resource Type:

Masters Thesis

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Academic Affiliation

Nuclear Engineering and Radiation Health Physics2
College of Earth, Ocean, and Atmospheric Sciences1
Mechanical, Industrial, and Manufacturing Engineering1

Advisor

Kim, David S.1
Klein, Andrew C.1
Ruggiero, Peter1
Tack, Krystina M.1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2013 to 2014

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Committee Member

Coffey, Mark1
Funk, Kenneth H.1
Hill, David F.1
Holman, Robert A.1
Krane, Kenneth S.1
more Committee Members »

Creator

Agahi, Maryam1
Colburn, Gabriel G.1
Onufer, Mark1
Serafin, Katherine A.1

Date

2013[remove]4

Decade

2010-20194

Degree Field

Industrial Engineering1
Medical Physics1
Nuclear Engineering1
Ocean, Earth, and Atmospheric Science1

Degree Level

Master's4

Degree Name

Master of Science (M.S.)[remove]4

Language

English [eng]4

License

All rights reserved4

Non-Academic Affiliation

Oregon State University. Graduate School4

Peer Reviewed

No4

Resource Type

Masters Thesis4

Rights Statement

In Copyright4

Subject

Monte Carlo method[remove]4
Beach erosion -- Oregon -- Pacific Coast -- Mathematical models1
Correlation (Statistics)1
Criticality (Nuclear engineering)1
Engineering economy -- Simulation methods1
more Subjects »

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