Joomyung Lee

Works (5)

Updated: May 11th, 2024 05:01

2024 journal article

Integrated 4D Design Change Management Model for Construction Projects

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 150(5).

By: L. Wang n, J. Lee n, J. Nimawat n , K. Han n  & A. Gupta n

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Sources: Web Of Science, ORCID
Added: February 22, 2024

2023 journal article

A Limited-Scope Probabilistic Risk Assessment Study to Risk-Inform the Design of a Fuel Storage System for Spent Pebble-Filled Dry Casks

ENG, 4(2), 1655–1683.

By: J. Lee n, H. Tayfur n, M. Hamza n, Y. Alzahrani n  & M. Diaconeasa n 

author keywords: probabilistic risk assessment; spent fuel storage system; spent pebble-filled dry cask; PRA elements; risk quantification
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 9, 2023

2022 article

Digital Engineering for Integrated Modeling and Simulation for Building-Piping Systems Through Interoperability Solutions

Crowder, N., Lee, J., Gupta, A., Han, K., Bodda, S., & Ritter, C. (2022, May 13). NUCLEAR SCIENCE AND ENGINEERING.

By: N. Crowder n, J. Lee n, A. Gupta n, K. Han n , S. Bodda n & C. Ritter *

author keywords: Building information model; interoperability; piping; building-piping interaction; coupled analysis
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Source: Web Of Science
Added: May 23, 2022

2021 journal article

Development of the Machine Learning-based Safety Significant Factor Inference Model for Diagnosis in Autonomous Control System

ANNALS OF NUCLEAR ENERGY, 162.

By: J. Lee n, L. Lin n, P. Athe n  & N. Dinh n 

Contributors: J. Lee n, L. Lin n, P. Athe n  & N. Dinh n 

author keywords: Diagnosis; Digital twin; Recurrent Neural Network; Safety significant factor; Machine Learning
TL;DR: A machine learning (ML) based SSF inference model (SSFIM) using the Recurrent Neural Network (RNN) with acceptable accuracy, generalization capability, effectiveness, and robustness against sensor errors is developed. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 23, 2021

2021 article

Enhancing the Operational Resilience of Advanced Reactors with Digital Twins by Recurrent Neural Networks

2021 RESILIENCE WEEK (RWS).

By: L. Lin*, J. Lee n, B. Poudel *, T. McJunkin *, N. Dinh n  & V. Agarwal *

author keywords: digital twin; diagnosis; prognosis; resilience
TL;DR: This paper develops and assesses both the diagnosis and prognosis DTs in a nearly autonomous management and control system for an Experimental Breeder Reactor-II simulator during different loss-of-flow scenarios. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: May 10, 2022

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