Výsledky vyhledávání - "Kwang-Il Ahn"

Akademický článek

ACE surrogate Model–Based uncertainty and sensitivity analysis methods for severe accident codes

Autor: Kwang-Il Ahn

Publikováno v: Nuclear Engineering and Technology, Vol 56, Iss 9, Pp 3686-3699 (2024)

This paper explores the alternating conditional expectation (ACE) algorithm-based surrogate model to advance the state-of-practice in uncertainty and sensitivity analysis methodologies for severe accident codes. For engineering purposes, the ACE algo

Externí odkaz: https://doaj.org/article/723747247c03465d81f89c006d5b3702

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Akademický článek

Effect of mitigation strategies in the severe accident uncertainty analysis of the OPR1000 short-term station blackout accident

Autor: Wonjun Choi, Kwang-Il Ahn, Sung Joong Kim

Publikováno v: Nuclear Engineering and Technology, Vol 54, Iss 12, Pp 4534-4550 (2022)

Integrated severe accident codes should be capable of simulating not only specific physical phenomena but also entire plant behaviors, and in a sufficiently fast time. However, significant uncertainty may exist owing to the numerous parametric models

Externí odkaz: https://doaj.org/article/772ef41b41014730ad435795efa26248

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Akademický článek

Interfacing between MAAP and MACCS to perform radiological consequence analysis

Autor: Sung-yeop Kim, Keo-hyoung Lee, Soo-Yong Park, Seok-Jung Han, Kwang-Il Ahn, Seok-Won Hwang

Publikováno v: Nuclear Engineering and Technology, Vol 54, Iss 4, Pp 1516-1525 (2022)

Interfacing the output of severe accident analysis with the input of radiological consequence analysis is an important and mandatory procedure at the beginning of Level 3 PSA. Such interfacing between the severe accident analysis code MELCOR and MACC

Externí odkaz: https://doaj.org/article/2223ed6d65f446658b0a55d3a60925fa

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Akademický článek

Finding Effective Item Assignment Plans with Weighted Item Associations Using A Hybrid Genetic Algorithm

Autor: Minho Ryu, Kwang-Il Ahn, Kichun Lee

Publikováno v: Applied Sciences, Vol 11, Iss 5, p 2209 (2021)

By identifying useful relationships between massive datasets, association rule mining can provide new insights to decision-makers. Item assignment models based on association between items are used to place items in a retail or e-commerce environment

Externí odkaz: https://doaj.org/article/c20d729a6d31498487f95c55ca1b8cd0

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Akademický článek

Implicit Treatment of Technical Specification and Thermal Hydraulic Parameter Uncertainties in Gaussian Process Model to Estimate Safety Margin

Autor: Douglas A. Fynan, Kwang-Il Ahn

Publikováno v: Nuclear Engineering and Technology, Vol 48, Iss 3, Pp 684-701 (2016)

The Gaussian process model (GPM) is a flexible surrogate model that can be used for nonparametric regression for multivariate problems. A unique feature of the GPM is that a prediction variance is automatically provided with the regression function.

Externí odkaz: https://doaj.org/article/17bbf9455cdc4b2395d66618e82d7736

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Akademický článek

Evaluation of an accident management strategy of emergency water injection using fire engines in a typical pressurized water reactor

Autor: Soo-Yong Park, Kwang-Il Ahn

Publikováno v: Nuclear Engineering and Technology, Vol 47, Iss 6, Pp 719-728 (2015)

Following the Fukushima accident, a special safety inspection was conducted in Korea. The inspection results show that Korean nuclear power plants have no imminent risk for expected maximum potential earthquake or coastal flooding. However long- and

Externí odkaz: https://doaj.org/article/22f6965ed19c41db851f13821d3298d1

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Akademický článek

Uncertainty Analysis of the Potential Hazard of MCCI during Severe Accidents for the CANDU6 Plant

Autor: Sooyong Park, Kwang-Il Ahn, YongMann Song

Publikováno v: Science and Technology of Nuclear Installations, Vol 2015 (2015)

This paper illustrates the application of a severe accident analysis computer program to the uncertainty analysis of molten corium-concrete interaction (MCCI) phenomena in cases of severe accidents in CANDU6 type plant. The potential hazard of MCCI i

Externí odkaz: https://doaj.org/article/4a4f9bbcdb734592baedb43cfd4448c4

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Akademický článek

Response Analysis on Electrical Pulses under Severe Nuclear Accident Temperature Conditions Using an Abnormal Signal Simulation Analysis Module

Autor: Kil-Mo Koo, Jin-Ho Song, Sang-Baik Kim, Kwang-Il Ahn, Won-Pil Baek, Kil-Nam Oh, Gyu-Tae Kim

Publikováno v: Science and Technology of Nuclear Installations, Vol 2012 (2012)

Unlike design basis accidents, some inherent uncertainties of the reliability of instrumentations are expected while subjected to harsh environments (e.g., high temperature and pressure, high humidity, and high radioactivity) occurring in severe nucl

Externí odkaz: https://doaj.org/article/0062fe15385e4d2b8edd33b007885942

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