Browsing by Subject "Monte Carlo"
Now showing items 120 of 37

(20090515)Previous efforts to apply risk analysis for water distribution systems (WDS) have not typically included explicit hydraulic simulations in their methodologies. A risk classification scheme is here employed for identifying ...

(20120427)Monte Carlo method has been successfully applied in simulating the particles transport problems. Most of the Monte Carlo simulation tools are static and they can only be used to perform the static simulations for the ...

(20151209)An energy pathway of great interest is gastoliquid (GTL) technologies, which converts natural gas to valuable chemicals and fuels. Three powerful regression methods were implemented, to create models for accurate predictions ...

(ARCC Conference Repository, 20190526)Building design optimization process is associated with uncertainties due to climate change, unpredictable occupant behavior, and physical degradation of building material over time. The inherent uncertainties in the ...

(20140503)A new approach to and method for characterization of fissile nuclide contaminated soils and process piping has been developed and implemented for low and intermediate level wastes, using new calibration bases for photon ...

(20130415)With the everincreasing demands of the nuclear power community to extend fuel cycles and overall corelifetimes in a safe and economic manner, it is becoming more necessary to extend the working knowledge of nuclear fuel ...

(Texas A&M University, 20070425)This work presents a new approach that combines the comprehensive capabilities of the ensemble Kalman filter (EnKF) and the flow path information from streamlines to eliminate and/or reduce some of the problems and limitations ...

(20200520)This thesis summarizes an intensive computational study to a proton acceleratordriven thoriumfueled molten salt reactor, including sensitivity analysis, parametric studies, and design & optimization for selected components ...

(20090515)There are two principal techniques for performing Monte Carlo electron transport computations. The first, and least common, is the full trackstructure method. This method individually models all physical electron interactions ...

(20121019)In development projects, designers should take into consideration the possibility of a vapor cloud explosion in the siting and design of a process plant from day one. The most important decisions pertinent to the location ...

(20171214)We present a methodology for using compressed sensing concepts to compute a global solution for Monte Carlo simulations with less memory and an accelerated reduction in statistical noise. The methodology utilizes a process ...

(20110808)A novel Y90 liquid brachytherapy strategy is currently being studied for the treatment of osteosarcoma using a preclinical translational model in dogs to assess its potential efficacy and toxicity. In this study, dosimetry ...

(20200730)Monte Carlo REINFORCE is used to design an algorithm to not only find the optimal deep learning architecture but also the optimal set of features that can maximize the performance of the said deep learning model. The ...

(20151112)A common method to solving coupled radiationhydrodynamics simulations is to use the Implicit Monte Carlo method as the radiation solve and the BHR2 mix model for the hydrodynamics solve. This methodology has been shown ...

(20140423)An exponentiallyconvergent Monte Carlo (ECMC) method is analyzed using the onegroup, onedimension, slabgeometry transport equation. The method is based upon the use of a linear discontinuous finiteelement trial space ...

(20090602)When the finitedifference timedomain (FDTD) method is applied to light scattering computations, the far fields can be obtained by either a volume integration method, or a surface integration method. In the first study, ...

(20200116)Quadratic unconstrained binary optimization (QUBO) problems are of paramount importance in scientific and industrial applications as many interesting nondeterministic polynomial (NP) hard problems can be mapped to them. ...

(20140922)Monte Carlo Simulations use random number generators and aggregation in order to numerically solve various realworld problems that are too difficult to solve analytically. They are currently the gold standard for simulating ...

(20161128)In the first part of this dissertation, we simulate the underwater polarized light field. A threedimensional backward Monte Carlo code is developed to simulate light scattering for an atmosphereocean system. In this ...