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首页> 外文期刊>Journal of Infrastructure Systems >Condition-Dependent Maintenance Effectiveness in Dynamic Performance Models for Transportation Infrastructure
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Condition-Dependent Maintenance Effectiveness in Dynamic Performance Models for Transportation Infrastructure

机译：运输基础设施动态性能模型中基于条件的维护有效性

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摘要

Dynamic performance models that combine performance prediction and maintenance effectiveness are required for state-of-the-art optimization techniques such as optimal control. Because records of maintenance effectiveness depend on facility condition, nonlinear models are necessary to include interactions between variables to account for this dependence and estimate condition-dependent maintenance effectiveness. Therefore, this paper proposes a procedure for estimating nonlinear dynamic performance models that capture interactions between variables using panel data. The relationships between maintenance effectiveness and current facility condition and between structural design and traffic impact were found to be polynomial in a numerical example of highway pavements. It was also demonstrated that imposing physical constraints on the maintenance effectiveness based on external data sources generated more reasonable models when self-selected samples were used for estimation.
机译：最新的优化技术（如最佳控制）需要将性能预测和维护有效性相结合的动态性能模型。由于维护有效性的记录取决于设施状况，因此非线性模型必须包含变量之间的相互作用，以说明这种依赖性并估计与状态相关的维护有效性。因此，本文提出了一种估计非线性动态性能模型的程序，该模型使用面板数据捕获变量之间的相互作用。在公路路面的一个数值示例中，发现维护有效性与当前设施状况之间以及结构设计与交通影响之间的关系是多项式。还表明，当使用自选样本进行估算时，基于外部数据源对维护有效性施加物理约束会生成更合理的模型。

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