건물의 경우, 용도 변경에 따른 중력하중 변화, 시공 단계에 따라 중력하중 변화 등이 구조물 시스템에 영향을 미친다. 따라서, 본 연구에서는 시스템 식별 변수 설정에 있어 기존에 강성만을 변수로 설정한 방법에 추가적으로 질량을 변수로 설정하여 시스템을 식별하는 기법을 제안한다. 계측한 동특성과 FE모델에서 추출한 동특성 간의 차이를 최소화하여 변수를 탐색하게 된다. 최소화 기법으로 변형 유전 알고리즘을 적용하였다. 보다 전역적 해탐색을 위해 변형 유전 알고리즘은 더 넓은해 탐색 공간에서 해를 찾는다. 철골 보 구조물의 시뮬레이션을 통해 본 연구가 제시한 기법을 검증하였고 변형 유전 알고리즘과 기존의 단순 유전 알고리즘의 성능을 비교하였다. 또한, 강성 식별만을 수행한 기존 연구의 방법과 본 연구가 제시한 기법간의 차이를 비교하였다.

For introducing the groundwater quality assessment using background concentration of groundwater, several methods had been studied to estimate the background concentration of groundwater and to suggest the background concentration of study area. Some methods such as Box whisker plot, Percentile and Cumulative probability distribution had been adopted to estimate background concentration, and it was evaluated that the Cumulative probability distribution method presents more reasonable background concentration because it can consider the data distribution. So we estimated the background concentration of study area using cumulative probability distribution method. We suggested the background concentration for each hydrogeology respectively in case hydrogeological water quality similarity is very low.

There are several guidelines for seismic performance evaluation given by institutions to proper seismic reinforcement. The guidelines given by Korea Infrastructure Safety & Technology Corporation, National Emergency Management Agency and Korea Educational Development Institute were analyzed. This paper analyzed seismic test procedure of three institutions and compared stage specific difference.

Through Estimation of stress distribution, both value and location of the maximum stress can be found. and the maximum stress is very important indicator for structural safety evaluation. In this connection, a lot of studies to estimate stress distributions are conducted. But studies on the optimal number and location of measurement points are few. So, In this study, the effects of the number and location of measurement points on the estimation stress distribution for the steel beam structure using motion capture system and cubic smoothing spline interpolation are researched.

The purpose of this study is model development of displacement estimation of simple beam receiving the concentrated load using terrestrial LiDAR. Using the terrestrial LiDAR it is possible to supplement touch sensor’s disadvantages which have the limit to the displacement measurement. The data which is obtained by terrestrial LiDAR goes through coordinate transformation and dividing elements. And then, applying the Cubic Smoothing Spline Interpolation(CSSI) we will find the optimal value for displacement estimation. Also, based on the assumed displacement it is possible to estimate the stress distribution shape of the experiment model.

In this paper, it proceed the fascinating experimental study to use the system identification(SI) for a long time measurement. The aim of the study is to identify the dynamic characteristics using the SI based on ambient vibration(AV) tests for monitoring systems at building structures. White noise, which is naturally occurring for harmonic components, and free vibration tests are employed in obtaining output data. A definite answer of the dynamic characteristics manages to extract from the frequency domain decomposition(FDD) method under the condition of the white noise. The singular value of the following test is used by FDD. These results show the validity of AV test and the usability of FDD in comparison with two tests. The result of the study is to design practical criteria for SI for building structures based on AV tests.