摘要: |
In bridge management systems such as Pontis, owned by the American Association of State Highway and Transportation Officials, and the National Bridge Investment Analysis System (NBIAS), owned by the Federal Highway Administration (FHWA), a preservation policy specifies the optimal action to be taken in each condition state for each structural element that may exist on a bridge. Application of an optimal preservation policy requires element-level data for the bridges in an inventory. Working with FHWA, Cambridge Systematics has developed NBIAS to analyze bridge needs at a national level with an element-level approach. To take advantage of the strengths of the element-level approach without the benefit of complete element-level data, Cambridge Systematics and FHWA have developed a set of models for synthesizing element-level data for individual bridges from information recorded for these bridges in the National Bridge Inventory. These synthesis, quantity, and condition (SQC) models use the available data to predict which elements are likely to exist on a bridge, the approximate quantities of each element, and their condition. The SQC models used in NBIAS were developed by combining engineering judgment and statistical analysis of a sample set of approximately 14,000 bridges. The results of this research may enable agencies to perform aggregate analysis of bridge needs without complete element-level data and to validate their element-level data collection programs. |