철근콘크리트 슬래브교의 노후화 예측모델에 관한 연구

A study on the Life Cycle Profiles(LCP) for RC Slab Bridge

교량의 건설계획단계에서 LCC을 고려한 의사결정이나 공용중인 교량의 체계적인 유지관리 전략을 수립하기 위해서도 최소한의 점검결과만으로 노후화를 예측할 수 있는 LCP가 필요하다. 본 연구에서는 국내외 연구결과를 토대로 무리함수 $y=\sqrt{y^2_0-at}$로 표현되는 LCP를 제안하여 국내외연구결과에서 적용한 D/B에 적용한 결과 상관계수가 0.99이상으로 노후화 경향을 표현할 수 있었으며, 전국에 분포되어 있는 슬래브교량을 대상으로 정밀점검 및 정밀안전진단의 BMS를 Fuzzy Logic을 이용하여 정량적 평가하여 회귀분석을 실시한 결과 0.81의 상관계수를 갖는 노후화 예측모델을 도출할 수 있었다.

LCP(Life Cycle Profiles) of bridge structures are indispensable for the LCC(Life Cycle Cost) evaluations of bridge system. The bridge under considerations may be newly-designed one or one in service. Thus, a systematic study of LCP is essential for both reliable LCC evaluation and strategic bridge management. LCP is mainly influenced by the structural environment in nature. However, in Korea, LCC evaluation has been performed with the LCP of foreign research results or only with the pieces of professional engineers' opinion. Therefore, to alleviate the drawbacks of foreign LCP and to enhance the reliability of current LCP, LCP should be established using the available data in bridge management system(BMS). In this study, LCP along with a subset of the BMS data was investigated and several mathematical expressions were proposed and evaluated. The condition ratings of a bridge were trasformed into the numerical indices through fuzzy logics with real field data. From the numerical results, it is concluded that the mathematical LCP model of $y=\sqrt{y^2_0-at}$ is shown to be the fittest one (R=0.815) to express the condition rating varied with the age. This has been drawn from the case study of slab bridges under the similar conditions.