Investigating the Applicability of Multi-Fidelity Modeling to Condition Evaluation of Transportation Infrastructure
项目名称: Investigating the Applicability of Multi-Fidelity Modeling to Condition Evaluation of Transportation Infrastructure
摘要: Evaluating the condition of transportation assets such as bridges is a critical and resource intensive part of the asset management process. Furthermore, information about the condition of assets may come from a variety of sources and some of the techniques that provide the greatest level of detail about condition are too time consuming or expensive to be practically applied to all structures. This research study will investigate the application of multi-fidelity modeling to evaluating the condition of transportation assets. Multi-fidelity modeling combines expensive high-fidelity data with low cost low-fidelity data to provide better predictions of condition at a lower cost. The objectives of this project are to, first, study ways of grouping bridges (or other assets) to allow for multi-fidelity modeling of a group; second, apply multi-fidelity modeling techniques using existing data sources; and third, evaluate the efficacy of multi-fidelity modeling in the context of transportation asset management considering the accuracy of predictions and lifecycle cost implications.
状态: Active
资金: 123000
资助组织: Office of the Assistant Secretary for Research and Technology
项目负责人: Tolliver, Denver
执行机构: Dept. of Civil and Environmental Engineering
开始时间: 20200218
预计完成日期: 20220731
主题领域: Bridges and other structures;Highways;Maintenance and Preservation;Planning and Forecasting
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