Development of a Robust Framework for Assessing Bridge Performance using a Multiple Model Approach
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2019-05-01
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Edition:Final Report, August 1, 2016 – May 31, 2019
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Abstract:This project presents a simple approach to multiple model deterioration modeling for bridges by identifying common points between deterioration model approaches and combining the results at these points. Inclusion of other data sources into this framework was explored, and an ontology of these sources and their relationships was developed. The results showed fairly close performance between individual models and combined models when considering a population of bridges in Texas using the National Bridge Inventory data – a resource that Texas would like to make better use of. This performance is a result of the bridges selected via identification of explanatory variables which are assumed through engineering judgment to drive deterioration – a practice that is common in nearly all of the literature. Future work includes exploring more robust ways of identifying explanatory variables.
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