共查询到19条相似文献,搜索用时 78 毫秒
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为提高高速公路沥青路面车辙养护效果,对常见的沥青路面车辙病害类型及产生原因进行梳理,并结合实际工程案例,对铣刨填补施工技术的应用进行分析,为相关养护工程提供借鉴。 相似文献
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为了评估沥青混合料厂拌热再生施工技术的环境效益,有必要量化厂拌热再生技术的能耗与温室气体排放量。基于国内外典型的沥青混合料厂拌热再生工艺,以生命周期分析方法为基础,根据边界条件,建立评价指标,分别计算厂拌热再生养护技术与铣刨重铺技术从旧路面铣刨、原材料生产、材料运输到混合料拌和、摊铺碾压的整个生命周期的能源消耗与温室气体排放。结果表明,与传统铣刨重铺相比,当回收料掺量为30%~50%时,厂拌热再生技术具有显著的环境效益,能源消耗量可节省7.6%~18.5%,温室气体排放量可降低11.9%~21.5%。 相似文献
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天津市市政工程建设公司 《交通节能与环保》2012,8(1):46-51
本项目分别采用泡沫沥青冷再生和水泥稳定冷再生技术对现有道路进行改造扩建,针对废旧沥青路面各结构层材料铣刨工艺、回收路面材料性能、再生混合料组成设计和施工工艺等关键技术问题进行了系统研究,编制了沥青路面泡沫沥青冷再生技术规范和沥青路面再生施工技术指南,实现了资源循环利用、节能减排,经济社会效益显著,推广应用前景广阔。 相似文献
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结合具体工程对旧沥青路面铣刨料的乳化沥青厂拌冷再生技术进行了系统研究。首先对铣刨料的级配进行分析评价。其次,确定了掺加水泥的乳化沥青冷再生混合料配合比,并进行了室内性能评价。同时对冷再生沥青混合料的生产工艺以及施工质量控制等环节进行了系统介绍。 相似文献
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从公路工程实际出发,对厂拌热再生混合料设计进行分析,并对包括铣刨料预处理、厂拌热再生混合料拌合运输、摊铺碾压等环节在内的厂拌热再生混合料施工工艺进行探总结探讨,最后进行施工质量检验.分析结果表明,厂拌热再生施工技术能回收利用旧沥青路面铣刨料,节省新材料采购成本和废旧料处理成本,社会效益和环境效益显著. 相似文献
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以具体公路工程沥青路面微表处养护施工为例,进行了微表处混合料设计及施工过程的分析探讨.应用结果表明,微表处沥青路面养护施工技术施工速度快、工效高,微表处摊铺机可同时完成微表处混合料的拌和与摊铺施工,快速提升沥青路面抗滑性、抗磨耗性,还能增强沥青混合料抗车辙能力,且因其厚度较薄,加铺在沥青路面后并不影响排水. 相似文献
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针对目前广西地区高速公路沥青路面养护状况,文章依托实体工程,通过路面养护数据和使用性能检测数据的收集、整理和分析,对微表处、不同厚度的铣刨重铺等常用沥青路面养护措施的使用效果进行评价,其对广西地区高速公路沥青路面养护方案的制定具有借鉴意义。 相似文献
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在沥青混合料性能评价以及已有的抗车辙沥青路面技术研究成果的基础上,以沥青混合料的技术要求、结构组合、厚度设计为主要研究内容,以提高沥青路面抗车辙能力、水稳定性和低温抗裂性等综合性能为目的,针对贵州地区的特点,提出了山区高速公路抗车辙沥青路面典型结构设计,并推荐了适合贵州地区的sAc级配范围。 相似文献
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微表处在我国公路沥青路面预防性养护方面是一种新工艺、新技术。文章以广东惠河高速公路沥青路面微表处在沥青路面车辙处治方面的施工实践,介绍微表处配合比的试验经验及施工的主要技术要点,供公路沥青路面预防性养护施工参考。 相似文献
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文章通过进行母体沥青混合料和水泥砂浆的配合比设计及试验路段的行车观测,评价高性能半柔性路面材料的力学性能和路用性能,为半柔性路面的设计和施工提供了依据,并指出高性能半柔性复合面层将有更新的发展,符合重载交通路用性能要求。 相似文献
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Traffic noise emission has long been a pervasive environmental and ecological problem, especially in the metropolitan cities with large-scale traffic network and high population density. Low noise road surface (LNRS) has been actively developed and applied as an effective measure to maintain the quieter environment of mobility service system. However, when LNRS is applied for noise abatement, the relationship between the acoustic performance and degradation of pavement has not been fully understood yet. To this end, this study aims to model the acoustic longevity of asphalt pavement as a function of the thickness, binder content, maximum aggregate size, and air void content of the pavement surface, as well as vehicle speed based on the long-term tyre-road noise data collected from 270 asphalt pavement sections in Hong Kong. Two machine learning techniques, namely artificial neural networks (ANN) and support vector machines (SVM), were employed and compared. It was found that both ANN and SVM could successfully model the pavement acoustic performance with acceptable model performance metrics. A case study showed that the ANN model was more aligned with the aging mechanisms of porous road surface, but the SVM model showed better training performance. The predicted acoustic deterioration rates of the porous surface case varied from −0.1 to 0.28 dB(A)/month rather than keeping a constant linear increasing trend, depending on pavement ageing periods and vehicle speed levels. The two-dimension sensitivity analysis (2D-SA) revealed the relative importance of pavement age and vehicle speed in controlling the acoustic performance. 相似文献
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《Transportation Research Part A: General》1987,21(2):145-152
This paper discusses the potential application of expert systems, a new information technology derived from artificial intelligence research, to pavement management. The principal focus concerns the development of such knowledge-based or expert systems for project-level analysis and design of pavement rehabilitation strategies. Particular emphasis is placed on the needs of locally managed highway systems, although many of the concepts are also more broadly applicable. The paper provides a brief overview of the evolution and application of expert systems. Several major issues in pavement management are discussed which strongly suggest the appropriateness of expert systems approaches. These issues include the role of computerized pavement management systems, the acquisition of pavement performance data and current procedures for pavement structural evaluation and design. Current research on PARADIGM, an integrated set of expert systems for pavement rehabilitation decision-making, is described. Finally, a PARADIGM component system consisting of an operational prototype expert system for pavement surface condition evaluation, is presented as an example. 相似文献