Probabilistic Bridge Deterioration Prediction, Applied Analytics, and Predictive Modeling
نویسندگان
چکیده
Designing a new bridge structure or designing the rehabilitation of an existing is time-consuming process. It important for owners to proactively assess their structures make sure that by time replacement required, design phase elements such project, including necessary permits, are ready. Assessing future condition also helps owner evaluate variety choices options based on risk imposed each alternative. Federal regulations (MAP-21) have required state transportation agencies implement asset management performance measures. Asset strategies arguably principal in guiding infrastructure investments. Predicting businesses and engineers allocate utilize available resources direction keeps inventory best possible condition, as well serves public. Prediction assists making decisions upon quality information well-defined considered objectives [1]. The core element any system database containing physical condition–rating data obtained through regular inspection maintenance activities over significant amount time. Consequently, relies having accurate assessment assets real One problem lies stochastic nature traffic transpires This research focused using Markov process predict inputs. chain modeling was selected this study because ratings requires appropriate deterioration prediction method. goal create computational tool highway degradation structure’s long- term performance. As proposed update National Bridge Inspection Standard, offers two methods changes intervals. Both ways consider contributing factor deciding criteria, which paper presents methodology perform calculation..
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ژورنال
عنوان ژورنال: Current trends in civil & structural engineering
سال: 2022
ISSN: ['2643-6876']
DOI: https://doi.org/10.33552/ctcse.2022.09.000712