Measurement of dynamic displacement of large structure is one of the most challenging issues in structural health monitoring. With a Kalman filter based technique, the proposed displacement measurement system which consists of GPS-RTK, accelerometer, DAQ, and computer shows the huge potential for precise measurement of dynamic displacement of large structure. The performance of the system has been verified by modal shaker test. This paper presents a new system for dynamic and pseudostatic displacement measurement for a large-scale civil infrastructure. Even though dynamic displacement measurement on a large-scale structure is one of the most challenging issues in structural health monitoring, traditional displacement sensors as well as cutting edge noncontact sensors suffers from the lack of accuracy and precision due to field conditions such as measurement distance and requirement for a fixed support. With a Kalman filter based technique, the proposed displacement measurement system, which consists of a GPS-RTK, accelerometer, DAQ and computer, efficiently estimates bias contained in the acceleration record by fusing the acceleration with intermittently recorded GPS-RTK data, and estimate high precision and high accuracy displacement by removing the bias from the acceleration record and conducting double integration. Through a series of lab-scale tests using a vibration exiciter, the performance of the system has been verified and shows the potential for accurate and precise measurement of dynamic displacement of a large-scale structure.

In classical dynamics, the coefficient of restitution is one of variables to estimate the amount of impulse. In general, we have considered the coefficient of restitution as a constant value. However, coefficient of restitution (COR) is the function of contact material and colliding velocity. Furthermore, COR is also a function of contact area. Thus, without considering the variable characteristic of COR, the actual motion of an object just after impact is not the same as we expect. A general COR model is proposed in this work and its effectiveness is verified through a cart impact experiment and its result is applied to simulation of a ball impact problem. A three-degree-of-freedom manipulator is employed as a test-bed.

It is possible for stress to concentrate due to interaction between shear wall and outer frame. In this study, proposed dual system installed the damper between shear wall and outer frame, and evaluated the seismic performance of the dual system through shaking table tests.

현재 복잡한 도심지 도로 복구공사에서는 당일 굴착 및 복구로 인한 조급한 시공으로 다짐이 완벽하지 않아 부실시공의 발생 위험이 존재하며, 일일 복구공사 투입대비 복구수량 감소로 인해 시공적자가 증가하고 있다. 특히, 공사 주변 비산먼지로 인한 민원이 급증하고 있어 이에 대한 대책이 시급한 상황이다. 이러한 현 문제점들을 해결하기 위한 대책으로 세계 최초로 복잡한 도심지 도로 복구공사에서의 교통 혼잡 및 정체, 비산먼지의 발생을 방지하고, 부실공사를 예방하여 경제적 효과를 획기적으로 창출하는 선진국형 기술개발의 일환으로써 신개념·신기술의 도로복구를 위한 레고(Lego)식 차도블록 시스템을 개발하였다. 본 연구에서는 선진국형 도로복구를 위해 개발된 레고식 차도블록 시스템의 개념 및 기능에 대해 정립하고, 차량 윤하중에 의한 동적 유한요소해석을 통해 차도블록 시스템의 동적 거동 검토를 수행하였다. 또한, 레고식 차도블록 시스템의 동적 해석결과를 활용하여 최대 연직변위로 인해 발생한 지반의 다짐 효과와 최대 상향 변위 발생으로 인한 동적 구조 안전성에 대해 평가하였다. 본 레고식 차도블록 시스템은 세계 최초로 개발한 도로 굴착복구 방법의 신개념·신기술의 선진국형 건설 시스템으로 상·하수도, 전기, 통신 등 긴급도로 복구공사와 관로 굴착공사, 임시 우회도로, 가설도로 그리고 임시 및 상설 주차장 등 다양하게 사용됨에 따라 국민과 국가와 기업이 상생하고, 저탄소 녹색성장을 주도하는 미래의 친(건설)환경을 제공할 것으로 전망된다.

A dynamic displacement estimation system is developed by integrating laser Doppler vibromter (LDV) and light detection and ranging (LiDAR). The system includes hardware level integration for simultaneous measurement of two devices and data fusion of two measurement signals based on Kalman filter smoothing algorithms. For hardware integration of two devices, the laser beam directions and the triggering of measurement of LDV and LiDAR are controlled on the level of built-in commands of the devices. The distance data sequentially measured by LiDAR is converted to dynamic displacement of high noise and low sampling rate, and fused with the velocity measured by LDV which has high sampling rate and low noise but accumulated bias error when integrated. Using the Kalman filter based data fusion algorithm, it is able to estimate dynamic displacement in which the drawbacks of two devices are effectively removed. The proposed system is applied to a dynamic loading test on a highway bridge and the performance is verified.

Structural dynamic characteristics are obtained by analysing responses of seismic acceleration measuring system obligatorily installed in public structures. Emergency structural safety estimation using these data supports decision making of a structure manager when an earthquake or a strong vibration happens. And proper standards for structural safety are suggested by cumulative statistical analysis. For these reasons, it is necessary that comprehensive analysis and management system indicates analysis results based on GIS(Geographic Information System). This system is developed with comprehensive analysis algorithms and data processing procedures. Various information through the system is served for structural safety management.

본 연구는 새로운 변위 계측 시스템으로 사용되고 있는 모션캡쳐 시스템을 이용하여 변위 계측을 통한 구조물의 동적 응답 계측에 이용되는 수치 미분 방법 중 가장 적합한 방법을 찾고, 이를 적용한 모션캡쳐 시스템에서 계측한 동적 응답과 기존 변위 계측 센서에서 얻은 동적 응답과의 비교를 통해 그 적합성을 검증하였다. 기존의 변위 및 가속도 계측 센서는 센서 설치의 어려움, 케이블 길이, 유선 방식에 따른 가속도 데이터 오차 발생 등의 문제점을 갖고 있다. 모션캡쳐 시스템은 계측하고자 하는 위치에 마커를 부착하고 카메라가 반사하는 마커의 변위를 측정하여 3차원 좌표를 얻는 모니터링 시스템으로서, 기존의 변위 및 가속도 계측 센서의 단점을 극복한 계측 시스템이다. 변위 계측을 통한 가속도 등의 동적 계측을 하기 위해서는 계측한 변위 데이터의 수치 미분이 필요하며 이를 통해 가속도 값을 얻는다. 본 연구에서는 모션 캡쳐 시스템을 통해 계측한 변위를 다양한 방법의 수치 미분을 통해 가속도로 변환시켜 기존의 가속도 측정 센서와의 비교를 통해 가장 적합한 수치 미분 방법(Four-point Backward Difference, FBD)을 찾을 수 있었다. 또한, 모션캡쳐 시스템에서 계측한 변위에 FBD를 적용하여 얻은 동적 응답(가속도, 고유주파수)과 기존 변위 계측 센서(레이저 변위계)에서 계측한 동적 응답과의 비교를 통해 FBD를 적용한 모션캡쳐 시스템의 동적 응답 계측에 대한 실효성을 확인할 수 있었다.

By using the accelerometer, there are two techniques of measuring the response from structures: forced vibration and ambient vibration method. Recently, ambient vibration technique is successfully being used for bridges, buildings, dams, and mechanical structures. In this study, we briefly introduce and describe a health monitoring system which measures and predicts the structural integrity of the entire structure through the measurement of ambient vibration characteristics and tilt of the structure by using the domestic-made high precision accelerometer. The high precision servo accelerometer is applied in inertial navigation system of the various weapon systems such as missiles, tanks, and armored vehicles.

한국수자원공사는 낙동강 및 금강수계에 대해 실시간 물관리 시스템을 개발하여 수계 내 다목적 댐의 효율적인 운영을 도모하였다. 본 연구에서는 이를 확장하여 최적화 기법인 표본 추계학적 동적계획법을 사용하여 한강수계 다목적댐의 효율적인 월말 목표저수량을 산정하고 이를 통해 실시간 물관리시스템의 효율을 극대화하고자 수행되었다. 수계 내 댐중 저수용량과 용수공급 측면에서 중요도가 높은 소양강댐, 충주댐, 화천댐 등 3개 댐만을 대상으로 모형을 개발하였으며 저수

Dynamic simulator can be a helpful tool for understanding underwater robotic system's dynamics. However, due to difficulties in modeling dynamics of vehicle/manipulator and interaction between them, dynamic simulation is not easy. This is true even when fluid dynamics are not considered during the simulation. In this paper, two schemes are introduced for dynamic simulation of underwater robotic systems. One is principle of dynamical balance, which is an easy and powerful tool for formulating dynamic equations of composite systems such as underwater vehicle- manipulator system. In the dynamic modeling, this principle gives us the closed-form of dynamic equations on matrix Lie group. The other is geometric integration algorithm, called 4-th order explicit Munthe-Kaas method. By this method, the derived differential equations can be integrated preserving geometric structure. Adopting these two schemes, dynamic simulation of underwater vehicle- manipulator system can be conducted more easily and more reliably.

The purpose of this study is to develop a dynamic DSS (Decision Support System) interfaced with GIS (Geographic Information System) and agriculture information network, In this study, DSS was developed to assist services which required tremendous and real time data in national scale. The data transmitte'd from the local area by the agriculture network were stored in DBMS (Data Base Management System) and analyzed by GIS. GIS and database tools used in this study were ARC/INFO 7.1.1 and INFORMIX 4.0. ACSAS (Agriculture Calamity Service Asist System) by the system prototype was constructed to solve the problem about the drought counterplan service which was to take the responsibility in the Ministry of Agriculture. It was easy to transfer, process, and analyze the information using the system. Specially, the meteological, the reservoir storage rate and the drought counterplan information were spatially analyzed by the functions of GIS.