Scholarworks@UNIST

UNIST Library

Browsing by Author : Lee, Jaebeom

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 14 to 33 of 33

Integration of physics-based model and measurement data for probabilistic condition monitoring of bridges

Lee, Seungjun , Lee, Jaebeom , Lee, Young-Joo

Conference Paper Issue Date2021-09-29 View12

Long-Term Deflection Prediction from Computer Vision-Measured Data History for High-Speed Railway Bridges File File

Lee, Jaebeom , Lee, Kyoung-Chan , Lee, Young-Joo

Article Issue Date2018-05 View20

PROBABILISTIC ASSESSMENT OF BRIDGE SAFETY BY INTEGRATING MEASUREMENTS WITH COMPUTATIONAL SIMULATIONS File File

Lee, Jaebeom

Thesis Issue Date2020-08 View19

Probabilistic cable condition monitoring for cable-stayed bridges using Gaussian process regression

Kim, Minsun , Lee, Jaebeom , Lee, Young-Joo

Conference Paper Issue Date2021-09-09 View18

Probabilistic fatigue life prediction employing an advanced crack propagation model

Lee, Young-Joo , Lee, Jaebeom , Lee, Sangmok

Conference Paper Issue Date2018-07-10 View26

Probabilistic finite element modeling of PSC beam considering pit corrosion

Lee, Jaebeom , Shim, Chang-Soo , Lee, Young-Joo

Conference Paper Issue Date2022-09-17 View25

Probabilistic inference on corrosion configurations based on tensile test results of corroded strands

Lee, Jaebeom , Shim, Chang-Su , Lee, Young-Joo

Conference Paper Issue Date2020-08-26 View11

Probabilistic prediction of mechanical characteristics of corroded strands File

Lee, Jaebeom , Lee, Young-Joo , Shim, Chang-Su

Article Issue Date2020-01 View18

Probabilistic prediction of structural response of cable bridges based on structural health monitoring data

Kim, Minsun , Lee, Seungjun , Lee, Jaebeom , Lee, Young-Joo

Conference Paper Issue Date2023-07-11 View12

Probabilistic prediction of ultimate strength and strain of corroded steel strands

Lee, Jaebeom , Lee, Young-Joo , Shim, Chang-Su

Conference Paper Issue Date2019-09-24 View16

Probabilistic prediction of vertical deflection for bridges using Gaussian process regression

Lee, Jaebeom , Lee, Kyoung-Chan , Sim, Sung-Han , Lee, Junhwa , Lee, Sangmok , Lee, Young-Joo

Conference Paper Issue Date2019-08-05 View24

Probabilistic prediction of vertical deflection for high-speed railway bridges using a Gaussian process

Lee, Jaebeom , Lee, Kyoung-Chan , Lee, Young-Joo

Conference Paper Issue Date2019-05-27 View22

Probabilistic range prediction of ultimate strength of corroded seven-wire strands

Lee, Jaebeom , Sim, Chang-Su , Lee, Young-Joo

Conference Paper Issue Date2019-09-19 View25

Sensor data-based probabilistic monitoring of time-history deflections of railway bridges induced by high-speed trains File

Lee, Jaebeom , Jeong, Seunghoo , Lee, Junhwa , Sim, Sung-Han , Lee, Kyoung-Chan , Lee, Young-Joo

Article Issue Date2022-12 View16

Time-history deflection monitoring of railway bridges subjected to high-speed trains

Lee, Jaebeom , Jeong, Seunghoo , Lee, Junhwa , Sim, Sung-Han , Lee, Kyoung-Chan , Lee, Young-Joo

Conference Paper Issue Date2021-09-09 View10

Time-history deflection prediction using Gaussian process regression for railway bridges

Lee, Jaebeom , Jeong, Seunghoo , Lee, Junhwa , Sim, Sung-Han , Lee, Kyoung-Chan , Lee, Young-Joo

Conference Paper Issue Date2021-09-29 View9

강연선의 부식 수준 추정을 위한 베이지안 추론법

Lee, Jaebeom , Jeon, Chi-Ho , Shim, Chang-Su , Lee, Young-Joo

Conference Paper Issue Date2022-04-14 View6

멀티 채널 계측 데이터 기반 케이블 교량의 확률론적 거동 예측 기법 개발

Kim, Minsun , Lee, Jaebeom , Lee, Young-Joo

Conference Paper Issue Date2022-04-14 View11

순차적 업데이트 대리모델을 활용한 효율적인 유한요소 신뢰성 해석 기법 개발

Lee, Seungjun , Lee, Jaebeom , Lee, Young-Joo

Conference Paper Issue Date2022-04-14 View12

케이블 교량 다중 케이블의 계측 데이터 기반 확률론적 거동 예측 기법

Kim, Minsun , Lee, Jaebeom , Lee, Young-Joo

Conference Paper Issue Date2022-11-18 View11

1 2 > >>

RSS 1.0 RSS 2.0

UNIST | Library

Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr

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