Quantifying Condition Indicators for Concrete Structures

摘要: This paper reports on a probabilistic model of concrete quality indicators to optimize inspection and maintenance planning structure. is unique in that it takes into account physical, statistical uncertainties the condition assessment. approach can be used for activities, such as determining acceptance criteria based owner's choice risk misinterpretations (accepted error) or figuring optimal time perform non-destructive testing routine. In turn, this method allows rational assessment data quantifies effect accepted error, allowing quantitative guidelines similar structures environments. The illustrated with an example highway bridge columns exposed deicing salt. Half-cell potential mapping investigated indication initiated corrosion visual indicator reduction stirrup's cross-sectional area. Inspection was optimized minimize expected total service life cost. Results show half-cell applicable example. However, many other classes, poor reinforcement corrosion. Overall findings suggest decision considers localized deterioration should only applied situations where indeed smaller structures. For larger structures, classes each consisting several stochastically independent elements may identified thus distributed used.