기계·로봇 연구정보센터

서울과학기술대학교 Smart Structures Lab.

실험실 정보안내
지도교수	김대현
전공분류	기타(ETC)
주소	Smart Structures Laboratory, 328, Dasan Hall,
전화
홈페이지	http://sslab.seoultech.ac.kr/website/index.php

실험실소개

Our laboratory has studied the "Smart or Intelligent Structures" that corresponds the change of external environment by itself. The smart structures detect the influence of external environment and the change of internal structural state at the same time. It is composed of the Work System, Brain System, Detection System largely. The work system uses the Piezoelectric Ceramics, ER Fluid, Shape Memory Alloy, etc. The detection system mainly uses the Semiconductor Sensor, Metal Thin Film Sensor, Piezoelectric Sensor and Fiber Optic Sensor, etc.

In detail, our laboratory has been concentrated on "Structural Health Monitoring" that detects the damage of smart structure caused by influence of external environment under the smart structure study. Also, our laboratory has mainly researched Fiber Optic Sensors and Piezoelectric Sensors as smart sensors.

Especially, the fiber optic are called a "Signal Transmission Medium of Dream" because its size is very small as the thickness of the hair 3-4 times and it is possible the long distance transmission. By applying the smart sensor such as fiber optic sensor, we have studied the various measurements such as displacement, strain, acceleration, etc. Also, our laboratory has conducted the techniques of signal processing to find out the characteristic of signal that is acquired by the various sensors such as Fiber Optic Sensors and Piezoelectric Sensors.

연구분야

Structural Health Monitoring
Smart Structures
Advanced Sensor System (Fiber Optic Sensor, Piezoelectric Transducer, etc.)
Signal Processing for Damage Assessment

연구성과

Yeon-Gwan Lee, Dae-Hyun Kim and Chun-Gon Kim
Performance of a Single Reflective Grating-Based Fiber
Measurement Science and Technology, 2012 , ,Vol. 0No. 0 ,pp. 0 ~ 0(SCIE, 0:0.0

Dae-Hyun Kim, and Maria, Q. Feng
Experimental Modal Analysis of Concrete Slab Structure Using a Novel Fiber Optic Accelerometer System
Engineering Structures, in preparation, 2010 , ,Vol. 0No. 0 ,pp. 0 ~ 0(SCIE, 0:0.0

Yeon-Gwan Lee, Sang-Oh Park, Byeong-Wook Jang, Yoon-Young Kim, Chun-Gon Kim, Dae-Hyun Kim
Finite Element Analysis of Mass-Spring System for Measurement of Relative Moving Displacement
Advanced Materials Research , 2010 , ,Vol. 123No. 125 ,pp. 863 ~ 866(SCIE, 0:0.0

Yeon-Gwan Lee, Dae-Hyun Kim and Chun-Gon Kim
Design of Patterned Leaf Spring for Sensor-Probe with Stable Reflectivity and High Sensitivity
Sensors and Actuator Physical A, 2012 , ,Vol. 0No. 0 ,pp. 0 ~ 0(SCIE, 0:0.0

Dae-Hyun Kim, Zanaica Luca and Maria, Q. Feng
Experimental Modal Analysis of Sub-scaled Building Model Using a Novel Fiber Optic Accelerometer System
Engineering Structures, in preparation, 2010 , ,Vol. 0No. 0 ,pp. 0 ~ 0(SCIE, 0:0.0

Chun Yang Zhang and Dae-Hyun Kim
Analysis of Impact Position based on Deep Learning CNN Algorithm
Trans. Korean Soc. Mech. Eng. A, 2020 , ,Vol. 44No. 6 ,pp. 405 ~ 412(SCIE, 0:0.0

Dae-Hyun Kim, Seung Bin Boo, Hyeon Cheol Hong, Won Gu Yeo and Nam Yong Lee
Machine Vision-based Defect Detection Using Deep Learning Algorithm
Journal of the Korean Society for Nondestructive Testing, 2020 , ,Vol. 40No. 1 ,pp. 47 ~ 52(SCIE, 0:0.0

Bonyong Koo and Dae-Hyun Kim
Directional bending sensor based on triangular shaped fiber Bragg gratings
Opt. Express, 2020 , ,Vol. 28No. 5 ,pp. 6572 ~ 6581(SCIE, 0:0.0

프로젝트

[Structural Health Monitoring of Solar Powered Aircraft Wing Using Fiber Bragg Grating Sensors]

[Development of the Underwater Fiber Optic Touch Sensor System for Underwater Cleaning Robot]

[An Affordable Dual-Cavity Fiber Fabry-Perot Interferometer (FFPI) Sensor System for Health Monitoring of Civil Structure]