The role of sensitivity analysis in the building performance analysis: A critical review

Z Pang, Z O'Neill, Y Li, F Niu - Energy and Buildings, 2020 - Elsevier
A building system is highly nonlinear and commonly includes a variety of parameters
ranging from the architectural design to the building mechanical and energy system. Serving …

Supervised dynamic probabilistic risk assessment: Review and comparison of methods

RG Maidana, T Parhizkar, A Gomola, IB Utne… - Reliability Engineering & …, 2023 - Elsevier
With the adoption of autonomous systems in higher levels of autonomy, large-scale,
complex and dynamic systems are becoming commonplace. Ensuring safe operation of …

Mutual integration of classical and dynamic PRA

D Mandelli, A Alfonsi, C Wang, Z Ma, C Parisi… - Nuclear …, 2021 - Taylor & Francis
A new generation of dynamic methods has started receiving attention for nuclear reactor
probabilistic risk assessment (PRA). These methods, which are commonly referred to as …

Multi-unit dynamic PRA

D Mandelli, C Parisi, A Alfonsi, D Maljovec… - Reliability Engineering & …, 2019 - Elsevier
Abstract Dynamic Probabilistic Risk Analysis (PRA) methods couple stochastic methods (eg,
RAVEN) with safety analysis codes (eg, RELAP5-3D) to determine risk associated to …

Application of the integrated safety assessment methodology to safety margins. Dynamic event trees, damage domains and risk assessment

L Ibánez, J Hortal, C Queral, J Gómez-Magán… - Reliability Engineering & …, 2016 - Elsevier
Abstract The Integrated Safety Assessment (ISA) methodology, developed by the Consejo
de Seguridad Nuclear, has been applied to an analysis of Zion NPP for sequences with …

Measuring risk-importance in a Dynamic PRA framework

D Mandelli, Z Ma, C Parisi, A Alfonsi, C Smith - Annals of Nuclear Energy, 2019 - Elsevier
Abstract Risk Importance Measures (RIMs) are indexes that are used to rank Structures,
Systems, and Components (SSCs). The most used measures are: Risk Reduction Worth …

Quasi-Monte Carlo sampling method for simulation-based dynamic probabilistic risk assessment of nuclear power plants

K Kubo, S Jang, T Takashi… - Journal of Nuclear …, 2022 - Taylor & Francis
Dynamic probabilistic risk assessment (PRA), which handles epistemic and aleatory
uncertainties by coupling the thermal-hydraulics simulation and probabilistic sampling …

Sensitivity Analysis of Effectiveness of FLEX Strategies Using a CDF-Based Importance Measure Under Accident Conditions

AUA Shah, J Kim, R Christian… - Nuclear Science and …, 2023 - Taylor & Francis
One of the lessons learned from the Fukushima Daiichi nuclear power plant (NPP) accident
is strengthening the station blackout (SBO) mitigation capabilities by enhancing defense in …

Improved Modelling and Assessment of the Performance of Firefighting Means in the Frame of a Fire PSA

M Kloos, J Peschke - Science and Technology of Nuclear …, 2015 - Wiley Online Library
An integrated deterministic and probabilistic safety analysis (IDPSA) was carried out to
assess the performances of the firefighting means to be applied in a nuclear power plant …

Application of reinforcement learning to deduce nuclear power plant severe accident scenario

SH Song, Y Lee, JY Bae, KS Song, MR Seo… - Annals of Nuclear …, 2024 - Elsevier
Severe accident scenarios for nuclear power plants are determined through probabilistic
safety analysis (PSA). In this process, it is possible to identify the failure sequence of specific …