📣 Try out the NEW Gateway to Research and let us know what you think.

We're looking for users to test the new service during August and September and share their feedback. Express your interest by completing this short form.

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

First Author: Altieri D
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