Seungin Oh

ORCID: 0000-0002-3213-7840
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About
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Research Areas
  • Structural Health Monitoring Techniques
  • Hydraulic and Pneumatic Systems
  • Acoustic Wave Phenomena Research
  • Advanced Sensor and Energy Harvesting Materials
  • Vehicle Noise and Vibration Control
  • Ultrasonics and Acoustic Wave Propagation
  • Green IT and Sustainability
  • 3D IC and TSV technologies
  • Optical measurement and interference techniques
  • Theoretical and Computational Physics
  • Magnetic properties of thin films
  • Non-Destructive Testing Techniques
  • Mechanical and Optical Resonators
  • Advanced MEMS and NEMS Technologies
  • Electric Motor Design and Analysis
  • Iterative Learning Control Systems
  • Magneto-Optical Properties and Applications
  • Conducting polymers and applications
  • Welding Techniques and Residual Stresses
  • Innovative Energy Harvesting Technologies
  • Magnetic Properties and Applications
  • Engineering Applied Research
  • Flow Measurement and Analysis
  • Laser and Thermal Forming Techniques
  • Model Reduction and Neural Networks

Kyung Hee University
2011-2024

A monitoring system is essential for controlling temperatures under safe levels of operation. It often challenging to attach temperature sensors directly drive chips owing the operating environment or geometric challenges. Based on this motivation, we present a model-based virtual thermal sensing technique real-time electronics package. few real located far from target position are utilized in system. These then connected well-tuned finite element model data augmentation utilizing an inverse...

10.1109/access.2022.3174208 article EN cc-by IEEE Access 2022-01-01

A real-time unmeasured dynamic response prediction process for the nuclear power plant pressure pipeline is proposed and its performance tested in test-loop system (KAERI). The aim of to predict unmeasurable or unreachable responses such as acceleration, velocity, displacement by using a limited amount directly measured physical responses. It achieved combining well-constructed finite element model robust inverse force identification algorithm. described displacement-pressure vibro-acoustic...

10.1016/j.net.2023.03.030 article EN cc-by Nuclear Engineering and Technology 2023-03-30

Virtual sensing is an effective method to identify the inaccessible state of structural systems by compensating limitations conventional physical techniques. Recently, it becomes popular in vibration field and their relevant domains such as civil, mechanical, aerospace engineering, thermal dynamics, acoustics. This study aimed develop a virtual algorithm for real-time identification unmeasured information. First, certain local point responses (such displacement acceleration) are measured...

10.1155/2023/2691476 article EN cc-by Structural Control and Health Monitoring 2023-04-06

Virtual sensing complements limited real-sensing information using a numerical (or analytical) model that is created with measured data. In this work, we propose virtual-sensing system for structural vibration. Finite element updating employed to calibrate the real and output modal information, including damping coefficients. A reduced-order modeling technique modified time integrator are also used reduce computational burden in online process synchronize model, thereby creating model-based...

10.5050/ksnve.2020.30.2.149 article EN Transactions of the Korean Society for Noise and Vibration Engineering 2020-04-20

본 연구에서는 유체-고체 연성 배관의 가상센서 시스템을 구성하는 방법을 제안하였으며, 그 신뢰성을 실제 구조물을 대상으로 검증하였다. 제안된 시스템은 계측되지 않은 변위, 압력, 작용하중 등의 응답을 간접적으로 추정할 수 있다. 대상 구조물의 물리적 특성을 모사하기 위해 음향-진동 유한요소 모델을 활용하였으며, 신뢰성 향상을 위하여 모델의 고려한 업데이팅 기법을 적용하였다. 또한 축소모델링 적용하여, 가상 센싱 기법의 실시간 적용이 가능하도록 디지털 트윈 구축하였다. 업데이트 및 축소된 기반으로 시간적분 구조물 전체의 있는 구성하였다. 개발된 기술은 L자형 배관 시험체에서 성능을

10.3795/ksme-a.2021.45.9.805 article KO Transactions of the Korean Society of Mechanical Engineers A 2021-09-10

This paper presents a new virtual sensing system for the real-time monitoring of vehicle steering motor. The aim proposed is to identify unmeasured dynamic characteristics target structure using inverse force identification method. matrices (mass, stiffness, and damping) motor vibration are generated finite element (FE) method, model update approach, well-known Craig-bampton reduced-order implicit method subsequently integrated with predict loading state based on limited set measurable...

10.5050/ksnve.2024.34.1.033 article EN Transactions of the Korean Society for Noise and Vibration Engineering 2024-02-20

In this work, the hybrid vibro-acoustic model reduction technique that is a physical-modal combined formulation proposed to accelerate finite element updating process of pipeline system. Particularly, new could provide an effective way by preserving physical DOFs for direct calibration undetermined boundary conditions. The sensitivity based first conducted, and then spring constant at displacement condition directly effectively calibrated using formulation. method implemented in real nuclear...

10.1016/j.net.2024.03.046 article EN cc-by-nc-nd Nuclear Engineering and Technology 2024-04-04

The two-field vibroacoustic finite-element (FE) model requires a relatively large number of degrees freedom compared to the monophysics model, and conventional force identification method for structural vibration can be adjusted multiphysics problems. In this study, an effective inverse FE interaction interior fluid-structure system was proposed. consists of: (1) implicit based on Newmark-$\beta$ time integration algorithm stability efficiency, (2) second-order ordinary differential...

10.48550/arxiv.2211.12137 preprint EN other-oa arXiv (Cornell University) 2022-01-01

This paper presents a virtual thermal sensor for real-time monitoring of electronic packages in totally enclosed system.

10.36227/techrxiv.16992907.v1 preprint EN cc-by 2021-11-13

This study aimed to develop a virtual sensing algorithm of structural vibration for the real-time identification unmeasured information. First, certain local point responses (such as displacement and acceleration) are measured using physical sensors, data sets extended numerical model cover quantities through entire spatial domain in computation process. A modified time integrator is then proposed synchronize sensors inverse dynamics. In particular, an efficient force method derived implicit...

10.48550/arxiv.2211.12513 preprint EN other-oa arXiv (Cornell University) 2022-01-01

This paper presents a virtual thermal sensor for real-time monitoring of electronic packages in totally enclosed system.

10.36227/techrxiv.16992907 preprint EN cc-by 2021-11-13
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