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Eunjong Yu

Hanyang University · 工学

研究室紹介

Professor Eunjong Yu's research lab specializes in structural health monitoring, seismic performance evaluation, and finite element model updating for civil infrastructure, with a focus on damage detection and performance assessment of reinforced concrete and masonry structures. The lab develops advanced experimental and analytical techniques—such as the linear shaker seismic simulation (LSSS) method and sensitivity-based model-updating algorithms—to improve the accuracy of structural response prediction and to validate numerical models using field and shaking table test data. Their work emphasizes practical applications in post-earthquake assessment, particularly for buildings damaged in major seismic events like the 1994 Northridge earthquake.

structural health monitoringfinite element model updatingseismic performancevibration-based damage detectionshaking table testing

Research Overview

Papers
92
Total Citations
697
Papers (5y)
14
Primary Field
工学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
14total
2022
2023
2024
2025
2026
Citations per year (5y)
55total
20222023202420252026

Selected Papers

15
1
Article|35 citations·2009
Calibration of analytical models to assess wind-induced acceleration responses of tall buildings in serviceability level
Ji Young Kim, Eunjong Yu, Dae Young Kim, Sang-Dae Kim
SJR Q1Engineering Structures
Environmental EngineeringEnvironmental Science
2
Article|32 citations·2006
Parameter identification of framed structures using an improved finite element model‐updating method—Part II: application to experimental data
Eunjong Yu, John W. Wallace, Ertuǧrul Taciroğlu
SJR Q1Earthquake Engineering & Structural DynamicsOA

Abstract In this study, we determine an updated finite element model of a reinforced concrete building—which was damaged from shaking during 1994 Northridge earthquake—using forced‐vibration test data and a novel model‐updating technique. Developed and verified in the companion paper (viz. BVLSrc, Earthquake Eng. Struct. Dyn . 2006; this issue), this iterative technique incorporates novel sensitivity‐based relative constraints to avoid ill conditioning that results from spatial incompleteness of

Civil and Structural EngineeringEngineering
3
Article|32 citations·2008
Forced Vibration Testing of a Four‐Story Reinforced Concrete Building Utilizing the nees @UCLA Mobile Field Laboratory
Eunjong Yu, Derek Skolnik, Daniel H. Whang, John W. Wallace
SJR Q1Earthquake Spectra

The nees @UCLA mobile field laboratory was utilized to collect forced and ambient vibration data from a four‐story reinforced concrete (RC) building damaged in the 1994 Northridge earthquake. Both low amplitude broadband and moderate amplitude harmonic excitation were applied using a linear shaker and two eccentric mass shakers, respectively. Floor accelerations, interstory displacements, and column and slab curvature distributions were monitored during the tests using accelerometers, linear var

Civil and Structural EngineeringEngineering
4
Article|31 citations·2006
Parameter identification of framed structures using an improved finite element model‐updating method—Part I: formulation and verification
Eunjong Yu, Ertuǧrul Taciroğlu, John W. Wallace
SJR Q1Earthquake Engineering & Structural Dynamics

Abstract In this study, we formulate an improved finite element model‐updating method to address the numerical difficulties associated with ill conditioning and rank deficiency. These complications are frequently encountered model‐updating problems, and occur when the identification of a larger number of physical parameters is attempted than that warranted by the information content of the experimental data. Based on the standard bounded variables least‐squares (BVLS) method, which incorporates

Civil and Structural EngineeringEngineering
5
Article|29 citations·2011
Long-term monitoring of wind-induced responses of a large-span roof structure
Ji Young Kim, Eunjong Yu, Dae Young Kim, Yukio Tamura
SJR Q1Journal of Wind Engineering and Industrial Aerodynamics
Environmental EngineeringEnvironmental Science
6
Article|28 citations·2005
Forced vibration testing of buildings using the linear shaker seismic simulation (LSSS) testing method
Eunjong Yu, Daniel H. Whang, Joel P. Conte, Jonathan P. Stewart, John W. Wallace
SJR Q1Earthquake Engineering & Structural Dynamics

Abstract This paper describes the development and numerical verification of a test method to realistically simulate the seismic structural response of full‐scale buildings. The result is a new field testing procedure referred to as the linear shaker seismic simulation (LSSS) testing method. This test method uses a linear shaker system in which a mass mounted on the structure is commanded a specified acceleration time history, which in turn induces inertial forces in the structure. The inertia fo

Mechanical EngineeringEngineering
7
Article|19 citations·2023
Seismic fragility of low-rise piloti buildings based on 2017 Pohang earthquake damage
Taewan Kim, Ji‐Hun Park, Eunjong Yu
SJR Q1Journal of Building Engineering
Civil and Structural EngineeringEngineering
8
Article|13 citations·2021
Experimental Study on Lateral-Load-Resisting Capacity of Masonry-Infilled Reinforced Concrete Frames
Min-Jae Kim, Eunjong Yu
SJR Q2Applied SciencesOA

In this study, an experimental program was performed on masonry-infilled frame specimens with varied construction precision and masonry thickness. A total of five portal frame specimens, which consist of four masonry-infilled frames and a bare frame, were tested, and the results were analyzed to investigate the effects of construction precision and interaction between the masonry infill and the frame. The test results indicated that the gap in the masonry infill decreased strength by 75% to 80%

Civil and Structural EngineeringEngineering
9
Article|12 citations·2012
Seismic damage detection of a reinforced concrete structure by finite element model updating
Eunjong Yu, Lan Chung
SJR Q2Smart Structures and Systems

Finite element (FE) model updating is a useful tool for global damage detection technique, which identifies the damage of the structure using measured vibration data. This paper presents the application of a finite element model updating method to detect the damage of a small-scale reinforced concrete building structure using measured acceleration data from shaking table tests. An iterative FE model updating strategy using the least-squares solution based on sensitivity of frequency response fun

Civil and Structural EngineeringEngineering
10
Article|11 citations·2006
Forced Vibration Testing of a Four Story RC Building Utilizing the nees@UCLA Mobile Field Laboratory
Eunjong Yu, Derek Skolnik, Daniel H. Whang, John W. Wallace
eScholarship (California Digital Library)OA

The nees@UCLA mobile field laboratory was utilized to collect data from forced and ambient vibration testing of a four-story RC building damaged in the 1994 Northridge earthquake. Both low amplitude broadband and moderate amplitude harmonic excitation were applied using a linear shaker and two eccentric mass shakers, respectively, and ambient vibrations were measured before and after each forced vibration test. Accelerations, interstory displacements, and curvature distributions were monitored u

Civil and Structural EngineeringEngineering
11
Article|11 citations·2018
Response Simulation, Data Cleansing and Restoration of Dynamic and Static Measurements Based on Deep Learning Algorithms
Seokjae Heo, Chunwei Zhang, Eunjong Yu
SJR Q1International Journal of Concrete Structures and MaterialsOA

Abstract In this study, an output-based neuro controller was built based on the idea of the adaptive neuro-fuzzy inference system (ANFIS) and its capabilities in response simulation, data cleansing and restoration capability were verified using measurement data from actual structural testing. The ANFIS is a family of the deep learning algorithm, which incorporates the benefits of adaptive control technique, artificial neural network, and the fuzzy inference system. Thus, it is expected to produc

Civil and Structural EngineeringEngineering
12
Article|9 citations·2007
Modal System Identification and Finite Element Model Updating of a 15-Story Building Using Earthquake and Ambient Vibration Data
Derek Skolnik, Eunjong Yu, John W. Wallace, Ertuǧrul Taciroğlu

The focus of this study is the application of novel as well as existing methods of modal system identification and finite element model updating techniques to experimental data. The data are collected during a small earthquake and from ambient vibrations. The specimen structure is named the "Louis and Doris Factor Building," and is located at the UCLA campus. It was instrumented by the U.S. Geological Survey with an embedded 72-channel accelerometer network following the 1994 Northridge earthqua

Civil and Structural EngineeringEngineering
13
Article|9 citations·2015
Behavior of Gabled Hyperbolic Paraboloid Shells
Chang-Soon Rha, Seung-Nam Kim, Eunjong Yu
SJR Q1Journal of Asian Architecture and Building EngineeringOA

Previous studies on gabled hyperbolic paraboloid shells (gabled hypar) revealed that shell loads are transferred to the supports mainly through diagonal arch action, and the contribution of edge beams, which have been traditionally included based on the assumptions of membrane theory, is actually very limited. This finding introduced a new shape of gabled hypars in which the edge beams are removed. This paper investigated the behaviors of gabled hypars with and without edge beams for various cas

Civil and Structural EngineeringEngineering
14
Article|8 citations·2021
Seismic fragility analysis of steel intermediate moment frames with column-tree connections
Eunjong Yu, Taewan Kim, Ji-Hun Park
SJR Q1Journal of Building Engineering
Civil and Structural EngineeringEngineering
15
Article|8 citations·2019
Seismic analysis of steel moment frames with column-tree connections
Taewan Kim, Eunjong Yu
SJR Q1Journal of Constructional Steel Research
Civil and Structural EngineeringEngineering

Research Areas

Civil and Structural EngineeringBuilding and ConstructionEnvironmental EngineeringMechanical EngineeringAerospace EngineeringComputer Networks and Communications

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