Work

Analyzing simulation-based PRA data through traditional and topological clustering: A BWR station blackout case study

Year: 2015

Type: article

Source: Reliability Engineering & System Safety

DOI: 10.1016/j.ress.2015.07.001

Authors: D. Maljovec, S. Liu, B. Wang, D. Mandelli, P.-T. Bremer, V. Pascucci, C. Smith

Institutions: University of Utah, Idaho National Laboratory, Lawrence Livermore National Laboratory

Language: English

Topic: Risk and Safety Analysis

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

Funders: National Science Foundation, U.S. Department of Energy

Awards: G127919901, G14554683, G1687629259, EAGER (G&V): Exploring Morse Theoretic Tools for Automatic Mesh Generation and Simulation on Surfaces, Collaborative Research: Coastal Upwelling on a Wide Shelf: An Observational Study, Scalable Algorithms for Multiscale Modeling and Analysis of Turbulent Combustion, G6667653331, G6828754981, G6894829431, G8830648198, THE UQ-PREDICTIVE MULTIDISCIPLINARY SIMULATION CENTER FOR HIGH EFFICIENCY ELECTRIC POWER GENERATION WITH CARBON CAPTURE, Enabling Transformational Science and Engineering Through Integrated Collaborative Visualization and Data Analysis for the National User Community

OpenAlex ID: W906099565

FWCI: 2.429

Cites: 23

Cited by: 27

Related to: 10