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首页> 外文期刊>Journal of Infrastructure Systems >Deterioration and Predictive Condition Modeling of Concrete Bridge Decks Based on Data from Periodic NDE Surveys
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Deterioration and Predictive Condition Modeling of Concrete Bridge Decks Based on Data from Periodic NDE Surveys

机译：基于定期NDE调查数据的混凝土桥面板劣化和预测条件建模

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摘要

A novel approach and program are developed for deterioration and predictive modeling of concrete bridge decks based on nondestructive evaluation (NDE) data. Through an iterative process-combined with data processing, bridge deck segmentation, regression analysis, data integration, and deterioration and predictive modeling-the developed program aids estimates of the remaining service life of bridge decks. Data collected on an actual bridge deck during a period of five and half years are used to illustrate the operation and performance of the developed program. Based on evaluation of condition maps, condition indices, and deterioration curves developed for a range of input parameters, the proposed method quantifies progression of deterioration in bridge deck. By reviewing the predictive models, combined with segmentation of the bridge deck area, a more realistic and practical estimation of the deck's remaining service life can be made. It is anticipated that the proposed method will provide objective and comprehensive evaluation and prediction of bridge deck condition based on data from multiple NDE technologies.
机译：根据无损评估（NDE）数据，开发了一种用于混凝土桥面板的劣化和预测建模的新颖方法和程序。通过将数据处理，桥面板分割，回归分析，数据集成以及退化和预测建模相结合的迭代过程，开发的程序有助于估计桥面板的剩余使用寿命。在五年半的时间里从实际桥面甲板上收集的数据用于说明已开发程序的操作和性能。基于条件图，条件索引和针对一系列输入参数开发的劣化曲线的评估，所提出的方法量化了桥面板的劣化进程。通过查看预测模型，再结合桥面面积的划分，可以对桥面的剩余使用寿命做出更为现实和实际的估计。可以预期，所提出的方法将基于来自多种NDE技术的数据提供客观，全面的评估和预测桥面状况。

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