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A stochastic optimization approach for the selection of reflective cracking mitigation techniques

机译：反射裂纹缓解技术选择的随机优化方法

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Purpose: In Hot Mix Asphalt (HMA) overlays, the existing cracks in the underlying pavements can propagate upward to the new added overlay and may cause Reflective Cracks (RC). These cracks allow water infiltration to the underlying layers and causes further moisture damage as well as weakening the unbound layers. Over the years, several methods have been developed for mitigating the RCs. This study aims to investigate the current reflective cracking mitigation methods and develop a methodology for the selection of appropriate mitigation technique. The developed model is then applied to a case study in the state of Florida. Method: To accomplish this goal, a nationwide literature review was conducted to better understand the current in practice methods in the United States. Moreover, a life cycle cost analysis (LCCA) in five different road types was performed to find the annuity of roadway rehabilitation for each of the mitigation methods. The uncertainty in the LCCA results is represented using Exploratory Modeling and Analysis (EMA) method. Then through a Multi Criteria Decision Making (MCDM) model, a stochastic optimization model was developed to find the appropriate reflective cracking mitigation solution under Florida's climate and road conditions, based on different cost and performance weights. Results: Based on the available data for the state of Florida, the LCCA results indicate that the annuity of maintaining the roadway with Fabrics and ISAC are lower compared to other methods. However, the results of stochastic optimization model reveal that while looking at the performance and cost at the same time, different methods would be more feasible. For instance, while the cost of the used method does not matter at all and only performance matters, STRATA~® is more probable to be the appropriate mitigation technique. The findings of this research are critical for decision makers to better understand the most cost-effective mitigation technique in different conditions.
机译：目的：在热混合沥青（HMA）覆盖层中，下层路面中的现有裂缝可能向上传播至新添加的覆盖层，并可能导致反射裂缝（RC）。这些裂缝使水渗透到下面的层中，并导致进一步的湿气损坏并削弱未结合的层。多年以来，已经开发出几种缓解RC的方法。这项研究旨在调查当前的反射裂缝缓解方法，并开发一种方法来选择适当的缓解技术。然后将开发的模型应用于佛罗里达州的案例研究。方法：为实现此目标，进行了全国性文献综述，以更好地了解美国目前的实践方法。此外，进行了五种不同道路类型的生命周期成本分析（LCCA），以找到每种缓解方法的道路修复年金。 LCCA结果的不确定性使用探索性建模和分析（EMA）方法表示。然后，通过多标准决策（MCDM）模型，开发了一个随机优化模型，以基于不同的成本和性能权重，在佛罗里达州的气候和道路条件下找到合适的反射裂缝缓解解决方案。结果：根据佛罗里达州的可用数据，LCCA结果表明与其他方法相比，使用Fabrics和ISAC维护道路的年金较低。然而，随机优化模型的结果表明，在同时考虑性能和成本的同时，采用不同的方法更为可行。例如，虽然所用方法的成本根本不重要，而性能仅重要，但是STRATA®更可能是合适的缓解技术。这项研究的结果对于决策者更好地了解不同条件下最具成本效益的缓解技术至关重要。

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