Scholarworks@UNIST

UNIST Library

Browsing by Author : Nguyen, Hoang D.

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

가 나 다 라 마 바 사 아 자 차 카 타 파 하

Sort by: In order: Results/Page Etal:

Showing results 1 to 18 of 18

An integrated machine-learning platform for assessing various dynamic responses of steel beams File

Rhee, Jeong H. , Nguyen, Hoang D. , Kim, Moon K. , Lim, Yun M. , Kim, Gun

Article Issue Date2024-03 View139

An optimal procedure for fragility analysis of nuclear containment structures under internal pressure File File

Nguyen, Hoang D. , Kim, Chanyoung , Shin, Myoungsu

Article Issue Date2025-06 View80

Development of data-driven models to predict seismic drift response of RC wall structures: An application of deep neural networks File

Nguyen, Hoang D. , Kim, Chanyoung , Lee, Kihak , Shin, Myoungsu

Article Issue Date2024-11 View112

Development of ensemble machine learning models for evaluating seismic demands of steel moment frames File

Nguyen, Hoang D. , Kim, JunHee , Shin, Myoungsu

Article Issue Date2022-07 View152

Development of extreme gradient boosting model for prediction of punching shear resistance of R/C interior slabs File

Nguyen, Hoang D. , Gia Toai Truong , Shin, Myoungsu

Article Issue Date2021-05 View92

Effects of soil-structure interaction on seismic performance of a low-rise R/C moment frame considering material uncertainties File

Nguyen, Hoang D. , Shin, Myoungsu

Article Issue Date2021-12 View109

Fragility analysis of APR-1400 nuclear containment structures under internal pressure File

Kim, Chanyoung , Nguyen, Hoang D. , Shin, Myoungsu , Lafave, James M.

Article Issue Date2025-03 View48

Hydrogenated Graphene with Tunable Poisson's Ratio Using Machine Learning: Implication for Wearable Devices and Strain Sensors File

Ho, Viet Hung , Nguyen, Cao Thang , Nguyen, Hoang D. , Oh, Hyun Suk , Shin, Myoungsu , Kim, Sung Youb

Article Issue Date2022-08 View133

Incorporation of machine learning into multiple stripe seismic fragility analysis of reinforced concrete wall structures File File

Nguyen, Hoang D. , Kim, Chanyoung , Lee, Young-Joo , Shin, Myoungsu

Article Issue Date2024-11 View132

Machine learning models for predicting maximum displacement of triple pendulum isolation systems File

Nguyen, Nam, V , Nguyen, Hoang D. , Dao, Nhan D.

Article Issue Date2022-02 View72

Machine learning-based prediction for maximum displacement of seismic isolation systems File

Nguyen, Hoang D. , Dao, Nhan D. , Shin, Myoungsu

Article Issue Date2022-07 View129

Optimal intensity measures for probabilistic seismic demand models of steel moment frames File

Nguyen, Hoang D. , Shin, Myoungsu , LaFave, James M.

Article Issue Date2023-04 View143

Prediction of seismic drift responses of planar steel moment frames using artificial neural network and extreme gradient boosting File

Nguyen, Hoang D. , Dao, Nhan D. , Shin, Myoungsu

Article Issue Date2021-09 View138

Rapid seismic damage-state assessment of steel moment frames using machine learning File

Nguyen, Hoang D. , LaFave, James M. , Lee, Young-Joo , Shin, Myoungsu

Article Issue Date2022-02 View151

Reliability assessment of a planar steel frame subjected to earthquakes in case of an implicit limit-state function File

Nguyen, Hoang D. , Shin, Myoungsu , Torbol, Marco

Article Issue Date2020-11 View74

Seismic fragility analysis for prestressed concrete containments of nuclear power plants based on stripe-based approach File

Kim, Chanyoung , Nguyen, Hoang D. , Kwon, Oh-Sung , Shin, Myoungsu

Article Issue Date2026-01 View1236

Seismic Fragility Analysis of Containment Structures in Nuclear Power Plants Considering Alkali-Silica Reaction File

Kim, Chanyoung , Nguyen, Hoang D. , Kwon, Oh-Sung , Shin, Myoungsu

Article Issue Date2026-02 View8

Seismic fragility analysis of steel moment frames using machine learning models File

Nguyen, Hoang D. , Lee, Young-Joo , LaFave, James M. , Shin, Myoungsu

Article Issue Date2023-08 View182

RSS 1.0 RSS 2.0

UNIST | Library

Tel : 052-217-1403 / Email : scholarworks@unist.ac.kr

ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.