Machine Learning Approaches for Performance Assessment of Nuclear Fuel Assemblies Subject to Seismic-Induced Impacts (2020)
Attributed to:
A Resilience Modelling Framework for Improved Nuclear Safety (NuRes)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1115/1.4046926
Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85102436607
Type: Journal Article/Review
Parent Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Issue: 4