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Stochastic Deterioration Processes for Bridge Lifetime Assessment

机译:桥梁寿命评估随机劣化过程

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摘要

The Markov chain model can be found in the maintenance and repair problems since the early 60's, is introduced to the maintenance of road infrastructure in the 1980's, and is made to drive the current bridge maintenance optimization systems. While this model results into solvable programming problems and provides a solution, there are a number of criticisms associated with it. In this article, we highlight the shortfalls of the Markov model for bridge infrastructure lifetime assessment and promote the use of stochastic processes. We use examples from a study for the modeling of the condition of bridges that considers more than 15 years of data. We argue for the applicability of the gamma process and other stochastic processes.
机译:Markov链模型可以在60年代初期以来的维护和修复问题中找到,在2080年代的道路基础设施中引入了维护,并制作了驱动电流桥维护优化系统。虽然这种模型导致可溶性编程问题并提供解决方案,但有许多批评与之相关。在本文中,我们突出了桥接基础设施寿命评估的马尔可夫模型的不足,促进随机过程的使用。我们使用示例从研究建模的桥梁的建模,了解超过15年的数据。我们争辩伽玛工艺和其他随机过程的适用性。

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