| 要旨 |
In cases of older bridges, assessing as much design information as possible is difficult. Restoration design is an important method to estimate the initial condition of structures. In this study, a probabilistic restoration design, based on latin hypercube sampling (LHS) of random variables, has been performed for RC slab bridges. Uncertainty and sensitivity analysis of random variables are also performed. From the analysis result, it is observed that measurements of total depth and compressive strength of concrete are the most influencing factors in the estimation of yield strength of steel. |