基于道路交通能量特征的道路摩擦劣化模型开发新方法论

Q1 Engineering
Vittorio Nicolosi , Mauro D'Apuzzo , Azzurra Evangelisti , Maria Augeri
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引用次数: 0

摘要

安全研究表明,路面摩擦力与事故风险密切相关,当摩擦力低于一定临界值时,事故会急剧增加。因此,管理路面抗滑性是减少交通事故的重要手段。遗憾的是,在路面使用期限内,抗滑性会因多种因素(交通磨损、风化和老化)而恶化。要对路面进行正确的管理,就必须了解路面性能的变化情况,这可以通过监测和退化模型来获得,但在文献中,很少有文献探讨交通车辆在类型和行驶模式方面的影响。本文介绍了一种新方法,即结合使用道路分段方案和基于轮胎与路面接触处耗散能量的交通损坏标准,根据在不同交通流量、车辆组成和运动条件下的道路上收集到的实验数据绘制退化曲线。该方法已在城市高速公路的开放式分级沥青路面(OGSC)上进行了验证,所获得的降解模型也与传统降解建模方法所提供的模型进行了比较,突出显示了所建议方法的优越性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new methodological approach for road friction deterioration models development based on energetic road traffic characterization

Safety studies have indicated strong correlation between road friction and accident risk, with a dramatic increase in accident when friction drops below certain threshold. For this reason, managing pavement skid resistance is an important mean to reduce crashes. Unfortunately, during the pavement lifespan, skid resistance undergoes to deterioration due to several factors (traffic wear, weathering and aging). The correct management of road pavements implies the knowledge of the performance evolution, obtained both with monitoring and degradation models, however, among those latter available in literature, very few explored the influence of traffic vehicles in terms of type and travel mode. In this paper a new methodology combining the use of road sectioning schemes with a traffic damage criterion based on the dissipated energy at the tire-road pavement contact, for the development of degradation curves from experimental data collected on roads with different traffic, in terms of volumes, vehicle composition and motion conditions, is presented. The methodology has been validated to an open graded bituminous surface course (OGSC) on urban motorway and obtained degradation models have been also compared with those provided by a traditional degradation modelling approach highlighting the superior performance of the proposed approach.

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来源期刊
Transportation Engineering
Transportation Engineering Engineering-Automotive Engineering
CiteScore
8.10
自引率
0.00%
发文量
46
审稿时长
90 days
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