본 연구에서는 2006년도의 교량 유지관리 빅데이터를 이용하여 선행연구에서 개발된 차종별 교통량 데이터와 연직 변위 데이터의 상관관계를 바탕으로 광안대교의 차종별 교통량 데이터를 이용한 연직 변위 추정 모델에 대하여 10여년이 경과한 현재적 적용성을 각각의 업데이트 방법으로 개발된 모델의 변위 추정 성능을 비교 분석하였다. 개발된 모델의 현재적 적용성은 추정된 변위는 실측 변위와 유사한 것으로 분석되었으며, 구조화 회귀 분석에 기반한 모델과 주성분 분석에 기반한 모델의 변위 추정 성능은 상호간에 큰 차이가 없다는 것을 알 수 있었다. 결론적으로 본 연구에서 개발한 차종별 교통량 데이터를 이용한 연직 변위 추정 모델은 광안대교의 교통하중에 따른 거동 분석 등에 유효하게 활용될 수 있을 것으로 사료된다.

It is known that traffic volume, which is representative of live bridge, has a significant effect on service level (LOS: level of service) and structural displacement of bridge. In particular, if the traffic volume is distributed in the traffic congestion time zone on the toll road, it is possible to manage efficiently in terms of customer satisfaction and maintenance management operation such as improvement of service level and structural integrity. To do this, it is necessary to induce the distribution of traffic in the congestion time zone, and it is necessary to apply the differential pricing system such as the congestion charge and the difference of toll by time. In this study, we analyzed traffic aggregation by time zone for the subdivision and advancement of the Gwangan bridge uniform fare system.

In this study, the partial correlation between the expansion and the vertical displacement excluding the temperature and the correlation between the expansion and vertical displacement and the average temperature of the reinforced truss member was analyzed. The correlation coefficients between temperature and expansion, temperature and vertical displacement were .929 and .874, respectively. The correlation coefficient between vertical displacement and expansion was 0.860 and partial correlation coefficient excluding temperature effect was 0.268.

‘Gwangan’ is a new six-rowed covered barley cultivar developed by the National Institute of Crop Science (NICS), R.D.A in 2004. This cultivar is developed from a cross between “Mirak” and ‘Milyang59’ in 1995. An F6 selection was made at Milyang in 2001 an