Sensitivity and Uncertainty Analysis of a SCWR from Monte Carlo Simulations

Stand-alone core sensitivity and uncertainty analysis of ALFRED from Monte Carlo simulations

10.1016/j.anucene.2017.04.024 ◽

2017 ◽

Vol 108 ◽

pp. 113-125 ◽

Cited By ~ 2

Author(s):

A.-D. Pérez-Valseca ◽

G. Espinosa-Paredes ◽

J.L. François ◽

A. Vázquez Rodríguez ◽

C. Martín-del-Campo

Keyword(s):

Monte Carlo ◽

Monte Carlo Simulations ◽

Uncertainty Analysis ◽

Mass flow rate sensitivity and uncertainty analysis in natural circulation boiling water reactor core from Monte Carlo simulations

Nuclear Engineering and Design ◽

10.1016/j.nucengdes.2010.01.012 ◽

2010 ◽

Vol 240 (5) ◽

pp. 1050-1062 ◽

Cited By ~ 6

Author(s):

Gilberto Espinosa-Paredes ◽

Surendra P. Verma ◽

Alejandro Vázquez-Rodríguez ◽

Alejandro Nuñez-Carrera

Keyword(s):

Monte Carlo ◽

Monte Carlo Simulations ◽

Uncertainty Analysis ◽

Mass Flow Rate ◽

Mass Flow ◽

Flow Rate ◽

Natural Circulation ◽

Reactor Core ◽

Rate Sensitivity ◽

Improvement of sensitivity and uncertainty analysis capabilities of generalized response in Monte Carlo code RMC

10.1016/j.anucene.2020.108099 ◽

2021 ◽

Vol 154 ◽

pp. 108099

Author(s):

Guanlin Shi ◽

Yuchuan Guo ◽

Conglong Jia ◽

Zhiyuan Feng ◽

Kan Wang ◽

...

Keyword(s):

Monte Carlo ◽

Uncertainty Analysis ◽

Monte Carlo Code ◽

Probabilistic uncertainty analysis based on Monte Carlo simulations of co-combustion of hazelnut hull and coal blends: Data-driven modeling and response surface optimization

Bioresource Technology ◽

10.1016/j.biortech.2016.11.045 ◽

2017 ◽

Vol 225 ◽

pp. 106-112 ◽

Cited By ~ 21

Author(s):

Musa Buyukada

Keyword(s):

Monte Carlo ◽

Monte Carlo Simulations ◽

Uncertainty Analysis ◽

Response Surface ◽

Data Driven ◽

Probabilistic Uncertainty ◽

Response Surface Optimization ◽

Surface Optimization ◽

Data Driven Modeling

Model Evaluation and Uncertainty Analysis of PM2.5 Components over Pearl River Delta Region Using Monte Carlo Simulations

Aerosol and Air Quality Research ◽

10.4209/aaqr.2020.02.0075 ◽

2020 ◽

Vol 20 ◽

Author(s):

Qian Wu ◽

Xiao Tang ◽

Lei Kong ◽

Zirui Liu ◽

Duohong Chen ◽

...

Keyword(s):

Monte Carlo ◽

Monte Carlo Simulations ◽

Uncertainty Analysis ◽

Model Evaluation ◽

Pearl River Delta ◽

River Delta ◽

Pearl River ◽

Pearl River Delta Region ◽

Delta Region

International Journal of Numerical Modelling Electronic Networks Devices and Fields ◽

Uncertainty analysis of a commercial microwave noise temperature measurement system using Monte Carlo simulations

10.1002/jnm.757 ◽

2010 ◽

Vol 24 (1) ◽

pp. 13-23 ◽

Cited By ~ 1

Author(s):

Mark H. Weatherspoon ◽

R. Joe Smith

Keyword(s):

Monte Carlo ◽

Monte Carlo Simulations ◽

Uncertainty Analysis ◽

Temperature Measurement ◽

Measurement System ◽

Noise Temperature ◽

Temperature Measurement System ◽

Microwave Noise

Monte Carlo based sensitivity and uncertainty analysis of the HCPB Test Blanket Module in ITER

Fusion Engineering and Design ◽

10.1016/j.fusengdes.2008.06.053 ◽

2008 ◽

Vol 83 (7-9) ◽

pp. 1222-1226 ◽

Cited By ~ 5

Author(s):

U. Fischer ◽

D. Leichtle ◽

R.L. Perel

Keyword(s):

Monte Carlo ◽

Uncertainty Analysis ◽

Short-term extreme mooring tension and uncertainty analysis by a modified ACER method with adaptive Markov Chain Monte Carlo simulations

Ocean Engineering ◽

10.1016/j.oceaneng.2021.109445 ◽

2021 ◽

Vol 236 ◽

pp. 109445

Author(s):

Sheng Xu ◽

Chun-yan Ji ◽

C. Guedes Soares

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Simulations ◽

Uncertainty Analysis ◽

Short Term

Nuclear data sensitivity and uncertainty analysis of critical VENUS-F cores with the Serpent Monte Carlo code

10.1016/j.anucene.2019.107196 ◽

2020 ◽

Vol 138 ◽

pp. 107196

Author(s):

E. Fridman ◽

V. Valtavirta ◽

M. Aufiero

Keyword(s):

Monte Carlo ◽

Uncertainty Analysis ◽

Nuclear Data ◽

Monte Carlo Code ◽

Sensitivity And Uncertainty Analysis ◽

Data Sensitivity

Sensitivity and uncertainty analysis of nuclear reactor reactivity coefficients by Monte Carlo second-order perturbation method

10.1016/j.anucene.2018.06.047 ◽

2018 ◽

Vol 121 ◽

pp. 68-76 ◽

Cited By ~ 1

Author(s):

Seung Yeol Yoo ◽

Hyung Jin Shim

Keyword(s):

Monte Carlo ◽

Uncertainty Analysis ◽

Perturbation Method ◽

Nuclear Reactor ◽

Second Order ◽

Order Perturbation ◽

Reactivity Coefficients ◽