This study proposes an improved method for updating finite element models (FEM) by incorporating the random field characteristics of concrete material properties in reinforced concrete structures. Traditional FEM often assumes homogeneous material properties, which can lead to significant discrepancies between predicted and actual dynamic responses, especially in structures where the Young’s modulus (E) of concrete varies due to factors like curing conditions, material composition, and construction methods. We employed a Gaussian random field model and a system identification (SI) technique to address this limitation to optimize sensor placement. We developed an FEM updating method that incorporates the spatial variability of concrete elasticity. This optimization allowed for a more accurate capture of dynamic properties across various structural locations, resulting in FEM updates that reflect concrete’s inherent heterogeneity. The proposed method was validated through numerical examples, comparing dynamic response accuracy in models before and after updating. Results demonstrated that error values, measured in terms of maximum value error and normalized root mean squared Error (NRMSE), were significantly reduced in the updated models compared to the pre-update model. This approach effectively addresses the limitations of homogeneous assumptions in FEM.

본 연구는 포졸란 재료인 LCD 유리분말과 소다석회 유리분말을 혼입하였을 경우 시멘트 복합체의 내구성에 미치는 영향을 비교, 분석하기 위함이다. 연구결과에 의하면, LCD 유리분말은 소다석회 유리분말 및 플라이애시보다 알칼리- 실리카 반응 (ASR) 및 염소이온 침투 저감에 효과적인 것으로 확인되었다.

This research provides techniques for the implementation of an integrity evaluation system developed for wind turbine structures to jack-up barge. The strain values obtained from the upper tip of the footing are to be converted into values at a single point in order to represent the structural behavior. These obtained values are evaluated simultaneously through P-M curve, generated by FEM results. Evaluating loads with P-M curve, structural stability of barge could then be monitored.