首页> 外文会议>International Conference on Construction Materials-Performance, Innovations, and Structural Implications;Japan Concrete Institute >PREDICTION METHOD OF DETERIORATION PROGRESS USING A TWO-DIMENSIONAL MARKOV CHAIN MODEL, BASED ON DETAILED INSPECTION RESULTS OF BRIDGES
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PREDICTION METHOD OF DETERIORATION PROGRESS USING A TWO-DIMENSIONAL MARKOV CHAIN MODEL, BASED ON DETAILED INSPECTION RESULTS OF BRIDGES

机译:基于桥梁的详细检查结果,使用二维马尔可夫链模型进行劣化进展预测方法

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In this study, the transition probability of bridge deterioration was calculated employing a two-dimensional Markov chain model to make the best use of the inspection data. Deterioration prediction was performed using transition probability. This deterioration prediction examined three kinds of damage: cracks, delamination and spalling of cover concrete. This process resulted in the development of our "Deterioration Progress Matrix". This matrix helps us to understand the progress of deterioration in a group of bridges. Based on this understanding, the limits of maintenance performance can be suitably set. Thus, the Deterioration Progress Matrix can be used to improve efficiency in maintenance planning.
机译:在该研究中,利用二维马尔可夫链模型计算桥梁劣化的过渡概率,以充分利用检查数据。 使用转换概率进行劣化预测。 这种劣化预测检查了三种损伤:盖子混凝土的裂缝,分层和剥落。 这个过程导致我们的“恶化进展矩阵”的发展。 该矩阵有助于我们了解一组桥梁的恶化进展。 基于这种理解,可以适当地设定维护性能的极限。 因此,劣化进度矩阵可用于提高维护计划的效率。

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