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Development of a unique deterioration index, prioritization methodology, and foreign object damage evaluation models for Canadian airfield pavement management

机译:为加拿大机场路面管理开发独特的恶化指标,优先级排序方法和异物损坏评估模型

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摘要

Modelling of pavement performance deterioration is a critical engineering process in Pavement Management Systems. Most of the existing Airport Pavement Management Systems (APMS) employ limited surface distresses in their performance evaluation models. These systems may not serve the objectives of some agencies. It is essential for an effective APMS to include evaluation models that adequately address the specific needs of the agency. This paper presents the development of a unique pavement deterioration index, i.e., the Condition Rating Index, developed for 1 Canadian Air Division (1 CAD). This index is modelled to serve the specific needs of 1 CAD effectively. Performance prediction models for the various classes of pavements are developed based on Markov Chains. The prioritization methodology employed also reflects the needs of 1 CAD. Consequently, this paper investigates the quantification and prediction of Foreign Object Damage (FOD_p). The FOD_p Index is developed as well as defined. Prediction models for FOD_p are developed along with the establishment of critical states of the FOD_p Index.
机译:路面性能恶化的建模是路面管理系统中的关键工程过程。现有的大多数机场路面管理系统(APMS)在其性能评估模型中均采用了有限的地表应力。这些系统可能无法满足某些机构的目标。有效的APMS必须包含足以充分满足该机构特定需求的评估模型。本文介绍了针对1个加拿大航空局(1 CAD)制定的独特的路面劣化指数(即状态等级指数)的发展情况。该指数经过建模可有效满足1 CAD的特定需求。基于马尔可夫链,开发了各种类型的路面性能预测模型。所采用的优先排序方法还反映了1加元的需求。因此,本文研究了异物损坏(FOD_p)的量化和预测。 FOD_p索引已开发并已定义。在建立FOD_p索引的临界状态的同时,开发了FOD_p的预测模型。

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