Article
Environmental Sciences
G. Aitken, L. Beevers, M. A. Christie
Summary: Flood events are the most common natural disaster, and climate change is expected to increase their frequency and intensity. Probabilistic flood modeling can help reduce the impact of floods, but its applicability is limited by computational cost and model resolution. This paper examines improvements to traditional Monte Carlo methods using Latin hypercube sampling and Multi-level Monte Carlo to reduce computational cost and improve output resolution.
WATER RESOURCES RESEARCH
(2022)
Article
Nuclear Science & Technology
Abdulla Alhajri, Vladimir Sobes, Kord Smith, Benoit Forget
Summary: Managing uncertainties in fundamental parameters is crucial in the safety-oriented nuclear engineering world. Large uncertainties in neutron cross sections of materials can lead to significant uncertainties in predicted behaviors. The only solution to addressing safety concerns related to large uncertainties is to reduce the uncertainties in input neutron cross sections, rather than relying on over designing which can increase the cost of nuclear reactors.
ANNALS OF NUCLEAR ENERGY
(2021)
Article
Engineering, Industrial
Jaehyun Cho, Sang Hun Lee, Jaewhan Kim, Seong Kyu Park
Summary: Modeling severe accident management guidelines (SAMG) into Level 2 probabilistic safety assessment (PSA) is crucial for realistically quantifying the safety of nuclear power plants (NPPs) and the effectiveness of SAMG. The inclusion of SAMG in the Level 2 PSA model led to a significant increase in the conditional containment intact probability and a considerable decrease in NPP risk, as demonstrated in the application to the OPR-1000 plant.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Materials Science, Multidisciplinary
Tom Vieijra, Jutho Haegeman, Frank Verstraete, Laurens Vanderstraeten
Summary: The study introduces a new sampling algorithm for generating independent samples from PEPS, bypassing issues related to autocorrelation times and dependent samples in traditional algorithms. By introducing an auxiliary probability distribution and combining it with importance sampling, accurate evaluation of expectation values is achieved.
Article
Engineering, Industrial
Robert Millar, Hui Li, Jinglai Li
Summary: In many engineering systems, the performance or reliability is characterized by a scalar variable. The distribution of this variable is important for uncertainty quantification in various applications. Standard Monte Carlo simulations are often used but struggle to efficiently estimate the tail of the distribution. The Multicanonical Monte Carlo method provides an adaptive importance sampling scheme, where samples are drawn from a nonstandard importance sampling distribution using Markov chain Monte Carlo (MCMC). However, MCMC is inherently serial and difficult to parallelize. In this paper, we propose a new approach that uses the Sequential Monte Carlo sampler for parallel implementation and demonstrate its competitive performance with mathematical and practical examples.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Geochemistry & Geophysics
Mingliang Liu, Dario Grana, Leandro Passos de Figueiredo
Summary: Estimating rock and fluid properties in the subsurface is a challenging task that requires computationally intensive methods. By using deep generative models to reduce the dimensionality of the model and data, we can achieve more efficient solutions, although there is a risk of information loss and decreased accuracy.
Article
Mathematics, Applied
Riccardo Tosi, Ramon Amela, Rosa M. Badia, Riccardo Rossi
Summary: The necessity of dealing with uncertainties is increasing in various fields of science and engineering. The proposed asynchronous framework for Monte Carlo and Multilevel Monte Carlo methods aims to improve computational efficiency by introducing a new level of parallelism between batches. This approach maintains the reliability of state-of-the-art techniques while enhancing computational efficiency.
JOURNAL OF SCIENTIFIC COMPUTING
(2021)
Article
Ecology
Thomas Knoke, Elizabeth Gosling, Dominik Thom, Claudia Chreptun, Anja Rammig, Rupert Seidl
Summary: This study develops a new methodology to assess the economic impact of natural disturbances, taking into account extreme events and impacts on standing timber. Results show that accounting for extreme events and disturbance impacts on standing timber can lead to economic losses 262%-1218% higher than using common valuation approaches that neglect these aspects.
ECOLOGICAL ECONOMICS
(2021)
Correction
Chemistry, Multidisciplinary
Tarak K. Patra, Troy D. Loeffler, Subramanian K. R. S. Sankaranarayanan
Summary: Correction for the paper "Accelerating copolymer inverse design using monte carlo tree search" by Tarak K. Patra et al. in Nanoscale. The correction provides accurate information and data by addressing the errors in the original paper.
Article
Engineering, Electrical & Electronic
Rania A. Fahmy, Hala K. Selim
Summary: Reliability data is essential for probabilistic safety assessment of nuclear power plants, and fault tree analysis is a widely used modeling technique. However, traditional static fault trees cannot capture the dynamic failures of complex systems. To address this limitation, dynamic fault trees are introduced with dynamic gates, enabling effective assessment of real complex systems' reliability. They have been successfully applied in evaluating reliability, designing, and managing risks in dynamic failure systems.
ELECTRICAL ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
A. Clement, N. Saurel, G. Perrin, N. Gombert
Summary: Gamma spectrometry is a method used to quantify radionuclides in nuclear objects, but traditional calibration methods are ineffective for nonreproducible nuclear objects. The French Atomic Energy Commission (CEA) is developing a methodology that combines stochastic and Bayesian approaches to quantify nuclear materials in waste packages and drums without operator adjustment.
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
(2021)
Article
Engineering, Multidisciplinary
Ionut-Gabriel Farcas, Benjamin Peherstorfer, Tobias Neckel, Frank Jenko, Hans-Joachim Bungartz
Summary: Multi-fidelity Monte Carlo methods leverage low-fidelity and surrogate models for variance reduction to make uncertainty quantification tractable. This work proposes a context-aware multi-fidelity Monte Carlo method that optimizes the balance between training costs and sampling costs. The method applies to hierarchies of different types of low-fidelity models and allows for optimal trade-offs between training and sampling to minimize mean-squared errors of estimators.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Correction
Chemistry, Multidisciplinary
Tarak K. Patra, Troy D. Loeffler, Subramanian K. R. S. Sankaranarayanan
Summary: This correction article addresses the paper 'Accelerating copolymer inverse design using monte carlo tree search' by Tarak K. Patra et al., published in Nanoscale, 2020, 12, 23653-23662, and provides clarification on the authors' work and the journal where it was published.
Article
Chemistry, Multidisciplinary
Matthias Frankl, Mathieu Hursin, Dimitri Rochman, Alexander Vasiliev, Hakim Ferroukhi
Summary: A methodology for the final geological disposal of Swiss spent nuclear fuel is being developed by the Paul Scherrer Institute in collaboration with the Swiss National Technical Competence Centre. This approach includes burnup credit and aims to quantify uncertainties using the BUCSS-R scheme. The study reveals overestimation of nuclear data-related uncertainties and emphasizes the importance of consistent methods for nuclear data uncertainty quantification.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Physical
Hung Ba Tran, Tetsuya Fukushima, Hiroyoshi Momida, Kazunori Sato, Yukihiro Makino, Tamio Oguchi
Summary: The magnetocaloric effects of FeRh alloy, including both direct and inverse effects, have been studied using first-principles calculations and Monte Carlo simulations. The research successfully reproduces experimental results and reveals that FeRh alloy has a giant relative cooling power due to its large saturation magnetizations and first-order antiferromagnetic-ferromagnetic phase transition.
JOURNAL OF ALLOYS AND COMPOUNDS
(2022)
Article
Energy & Fuels
Shinyoung Kwag, Jeong Gon Ha, Min Kyu Kim, Jung Han Kim
Article
Geosciences, Multidisciplinary
Eujeong Choi, Junho Song
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2019)
Article
Geosciences, Multidisciplinary
Eujeong Choi, Junho Song
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2020)
Review
Geosciences, Multidisciplinary
Eujeong Choi, Jeong-Gon Ha, Deagi Hahm, Min Kyu Kim
Summary: This research discusses the impact and challenges of multiple natural hazards on nuclear power plants, focusing on risk assessment and the effects on structural systems. Compared with single hazards, concurrent and successive multihazards still face challenges.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Energy & Fuels
Gyeong-Hoi Koo, Shinyoung Kwag, Hyun-Suk Nam
Summary: The study aims to investigate the feasibility of seismic fragility analysis with strain-based failure modes for nuclear metal components retaining pressure boundary, in order to enhance high confidence of low probability of failure capacity potentially contained in the conservative seismic design criteria. The study also explores the possibility of using seismic FA as an alternative seismic design rule for beyond-design-basis earthquakes.
Article
Energy & Fuels
Sungjin Chang, Bubgyu Jeon, Shinyoung Kwag, Daegi Hahm, Seunghyun Eem
Summary: This study focuses on the seismic safety of piping in nuclear power plants and examines how numerical conditions affect the analysis of seismic response in piping.
Article
Nuclear Science & Technology
Eujeong Choi, Min Kyu Kim, In-Kil Choi
Summary: This paper proposes a method to re-evaluate the seismic capacity of nuclear power plant equipment in South Korea by constructing an earthquake experience database and optimizing the seismic demand. It demonstrates and tests the method on a motor control center in a South Korean nuclear power plant.
NUCLEAR ENGINEERING AND TECHNOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Bu-Seog Ju, Hoyoung Son, Sangwoo Lee, Shinyoung Kwag
Summary: The electrical cabinet systems in power plants are critical components for maintaining sustainable operation and preventing accidents. This study evaluates the seismic demands of the cabinet system and investigates the effect of the primary structure's damage level on the response of the cabinet.
Article
Geosciences, Multidisciplinary
Eujeong Choi, Junho Song
Summary: This study proposes a community disaster resilience clustering method that evaluates the disaster resilience of communities by integrating physical vulnerability and socioeconomic recoverability. The results indicate that the method successfully categorizes communities in terms of disaster resilience and provides useful insights for resilience planning.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Engineering, Marine
Moon-Gyo Lee, Chang-Guk Sun, Hyung-Ik Cho, Han-Saem Kim, Jeong-Gon Ha
Summary: Accurately verifying the seismic performance of structures is crucial in performance-based seismic design of port structures. In this study, the influence of earthquake frequency and excess pore pressure buildup in the soil on the seismic responses of a gravity-type quay wall was evaluated through a dynamic centrifuge test. The results showed a strong correlation between earthquake frequency and permanent displacement of the wall, as well as liquefaction in the soil. The phase relationship between measured displacements, excess pore pressures, and dynamic thrust indicated that excess pore pressure buildup is a crucial factor in determining the dynamic thrust acting on the quay wall.
Article
Engineering, Civil
Ashkan B. Jeddi, Abdollah Shafieezadeh, Jieun Hur, Jeong-Gon Ha, Daegi Hahm, Min-Kyu Kim
Summary: This study presents the first set of multi-hazard fragility models for typhoons and earthquakes and reduces the computational complexity through the use of active learning. The research highlights the significance of multi-hazard effects on the fragility of transmission structures.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2022)
Article
Energy & Fuels
Shinyoung Kwag, Jinsung Kwak, Hwanho Lee, Jinho Oh, Gyeong-Hoi Koo