Machine Learning Approaches for Performance Assessment of Nuclear Fuel Assemblies Subject to Seismic-Induced Impacts (2020)

First Author: Altieri D

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