A rule-based weighted rating system forconcrete culverts |
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Authors: | Fabian C. Hadipriono Richard E. Larew Barry Wong |
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Affiliation: | Department of Civil Engineering , The Ohio State University , Columbus, Ohio, 43210, USA |
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Abstract: | This paper demonstrates the use of a rule-based weighted rating system (RWRS) developed for improving the rating of concrete culverts. RWRS combines the qualitative rating based on a guideline commonly used by the Department of Transportation, the quantitative rating based on a regression model, and the inspector's own judgment on the culvert's rating. Weight on each rating is provided by the supervisor. A case study is presented to demonstrate the use of RWRS. |
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Keywords: | artificial intelligence expert system culvert inspection |
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