Development of Adjustment Factors and Load Ratings via Statistical Analyses of the National Bridge Inventory Database [Technical Summary]
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2026-01-01
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Abstract:The primary objective of this study was to develop and evaluate a statistical model using the National Bridge Inventory (NBI) database to establish baseline load ratings for bridges in Kansas. A linear regression model was used to identify key variables, such as age and bridge condition, that correlate with recorded inventory and operating load ratings. This method can produce an expected load rating for most concrete bridges in Kansas, establish baseline load ratings for structures without prior ratings, designate adjustment factors to adjust load ratings to account for bridge condition degradation, and validate model predictions for recorded load ratings. This approach answers the following question for a given bridge: Knowing nothing more about the structure than what is available within the NBI, what is the expected rating based on similar bridges in similar condition within Kansas?
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Main Document Checksum:urn:sha-512:c433767ee472f838af230d2047a00cbf981d835c855ae9812584cea1daf5b3c2eb32c2f12ffa076bfbf6597b06dfadd3ebee85c7100aac6a9df810711dd68ce1
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