Artificial neural network based prediction of ultimate buckling strength of liquid natural gas cargo containment system under sloshing loads considering onboard boundary conditions-Reference-Cited by-同舟云学术

Artificial neural network based prediction of ultimate buckling strength of liquid natural gas cargo containment system under sloshing loads considering onboard boundary conditions

Published:2022-04 Issue: Volume:249 Page:110981
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Park Young IL.,Kim Jeong-Hwan

Funder

Dong-A University

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference21 articles.

1. Numerical study of violent LNG sloshing induced by realistic ship motions using level set method;Bai;Ocean Eng.,2015

2. Fast approximations of activation functions in deep neural networks when using Posit Arithmetic;Cococcioni;Sensors,2020

3. Sloshing analysis of LNG membrane tanks;Class Guideline,2016

4. Cutting Edge Technologies and Unparalleled Know-How;Gaztransport,2021

5. Key Figures;Gaztransport,2021

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